Meaningfulness and Experience of Perimenopausal Women During the Pandemic in India: A Mixed-Method Study
India; life satisfaction; meaning-making; Perimenopause; quality of life; SARS-CoV-2; urban
The perimenopausal transition marks a significant phase in womens lives, and the unforeseen challenges posed by the COVID-19 pandemic added complexity to this already intricate period. We investigated the mediating role of satisfaction with life between meaning in life and quality of life and adaptive strategies employed by perimenopausal women during the pandemic in India. Findings showed satisfaction with life as a strong mediator between meaning in life and quality of life. Thematic analysis identified a global theme of meaning in uncertainty and organizing themes: finding solace in self and actionable insights. The study emphasizes the need for understanding the meaning-making processes and adaptive strategies employed by women navigating perimenopause in the face of unprecedented global challenges. 2024 Society for Menstrual Cycle Research.
Sathiyaseelan A.; Patangia B.; Balasundaram S.; M A.; Chaudhury S.; Cossio-Torres P.; Pinto A.
Women's Reproductive Health, Vol-11, No. 4, pp. 914-935.
Sathiyaseelan A., Department of Psychology, School of Social Sciences, CHRIST (Deemed to be University), Bangalore, India; Patangia B., Department of Psychology, School of Social Sciences, CHRIST (Deemed to be University), Bangalore, India; Balasundaram S., School of Business and Management, CHRIST (Deemed to be University), Bangalore, India; M A., Department of Psychology, School of Social Sciences, CHRIST (Deemed to be University), Bangalore, India; Chaudhury S., Department of Psychology, School of Social Sciences, CHRIST (Deemed to be University), Bangalore, India; Cossio-Torres P., Department of Public Health and Medical Sciences, School of Medicine, Autonomous University of San Luis Potosi, San Luis Potos Mexico; Pinto A., Medical Officer, Center for Counselling and Health Services, CHRIST (Deemed to be University), Bangalore, India
Measurement Model of CO-PO Attainment in Higher Education: A Simplified Approach
Attainment levels; Course outcome; Program outcome; Program specific outcome
The educational system in most countries are moving toward Outcome-Based Education (OBE) which is a student-centric teaching and learning methodology. The basic idea behind the adoption of OBE model is that the graduates should possess a sound knowledge in their respective disciplines and also have global mobility and acceptance. The Outcome-Based Education (OBE) should be based on the vision and mission of the institution. The institutions should clearly spell out the learning objectives of the program and course. The Course Outcome (CO), Program Outcome (PO), Program Specific Outcome (PSO) and Program Educational Objectives (PEO) determine clearly what the students are expected to accomplish, post their course or program respectively. This study aims to provide the simplified approach on assessment, evaluation and calculating the attainment levels of students through COs and POs in a management program. To assess the CO attainment for management courses, the authors have identified the subject Entrepreneurship Development offered in the first semester from the 2018-2020 batch of 60 students from the MBA program of an autonomous institute. The Course Outcome (CO) and Program Outcome (PO) are mapped with the Continuous Internal Assessments (CIA) and Semester Exam End (SEE) and thus the attainment levels of each CO are measured. The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2024.
Pachiyappan S.; Jayaraj M.M.; Subhamathi V.; Vellaiyan S.
Data-Driven Decision Making, pp. 185-210.
Pachiyappan S., Christ University, Bangalore, India; Jayaraj M.M., Christ University, Bangalore, India; Subhamathi V., Bharath (Deemed to Be University), Chennai, India; Vellaiyan S., Christ University, Bangalore, India
Measurement of Corporate Social Responsibility of Financial Companies in the Indian Context
and content analysis; corporate social responsibility; NBFCs; private banks; public sector banks
Purpose: This study aimed to measure the corporate social responsibility (CSR) activities of financial companies (banks and NBFCs) in India. This paper used content analysis to quantify the CSR performance of financial companies. Financial institutions loan money to businesses utilizing assets owned by saving bank account holders, thereby heightening their societal responsibility. Methodology: Data from 63 financial companies listed on the National Stock Exchange from 20142015 to 20202021 were considered. Cronbachs alpha, descriptive statistics, and z-score test were used in this research to check the reliability and normality of the CSR scores. Findings: The results showed that private sector banks proactively participated in social activities compared to public sector banks (PSB) and non-banking financial institutions (NBFCs). Scores of CSR improved during the study period. Practical Implications: The study will allow future research because every issue and factor considered in the scale needs attention to benefit humankinds future generations. Calculated CSR scores could be used to measure the impact on the financial performance of companies. Originality: Unlike prior research on corporate social responsibility, the current work built a model to measure the CSR of financial companies. 2023, Associated Management Consultants Pvt. Ltd.. All rights reserved.
Sachdeva S.; Ramesh L.; Mathew M.; Manu K.S.
Indian Journal of Finance, Vol-17, No. 12, pp. 56-72.
Associated Management Consultants Pvt. Ltd.
Sachdeva S., School of Business and Management, Christ (Deemed to be University), Hosur Road, Karnataka, Bangalore, 560 024, India; Ramesh L., School of Business and Management, Christ (Deemed to be University), Hosur Road, Karnataka, Bangalore, 560 024, India; Mathew M., School of Business and Management, Christ (Deemed to be University), Hosur Road, Karnataka, Bangalore, 560 024, India; Manu K.S., School of Business and Management, Christ (Deemed to be University), Hosur Road, Karnataka, Bangalore, 560 024, India
Measurement of financial inclusion status of India
Access indicators; Financial inclusion; Measurement; Quality indicators; Status; Usage indicators
Financial inclusion provides access to formal financial system for all members of the society. Financial inclusion leads to inclusive financial system which has several merits. Financial inclusion facilitates rational allocation of productive resources and thus can potentially reduce the cost of capital. Efforts towards financial inclusion have been undertaken in India for several years. These financial inclusion initiatives have yielded fruitful results for the people to access and use formal financial system. Further, these initiatives led to better penetration of banking system, credit penetration and savings penetration. However, financial exclusion is common phenomena in India among poor and weaker sections. This article has made an attempt to measure state of financial inclusion in India using access indicators, usage indicators and quality indicators of financial inclusion. IAEME Publication.
International Journal of Mechanical Engineering and Technology, Vol-9, No. 7, pp. 354-364.
Ravikumar T., Department of Management Studies, CHRIST (Deemed to be University), Bengaluru, Karnataka, India
Measurement of financial inclusion status of India /
International Journal of Mechanical Engineering And Technology, Vol.9, Issue 7, pp.354-364, ISSN Print: 0976-6340. ISSN Online: 0976-6359.
Measurement of Profitability under IFRS and IGAAP Among Selected Indian Companies
Globalization has resulted in expansion of Indian companies across the world. There arouse a need for a common set of accounting standard for harmonization of financial statements. The six Indian companies listed on Bombay Stock Exchange and National Stock Exchange has converged to International Financial Reporting Standards (IFRS) from the financial year 2007-2008. The consolidated financial statements are prepared under both Indian Generally Accepted Accounting Principles (IGAAP) and International Financial Reporting Standards (IFRS). Therefore, this study focused on measurement of profitability under IFRS and IGAAP for the six companies which have adopted IFRS voluntarily. There are differences in treatment of items under IGAAP and IFRS like revenue recognition, foreign currency transactions and translations, fixed asset valuation, depreciation and impairment losses, etc. The analysis showed that there is gradual increase in profitability ratios under IFRS and there may be increase observed in future. Since, this study analyses results on six Indian listed companies until financial year 2011-2012. The reasons for the differences in profitability ratios are also discussed. There are many Indian companies which have not converged into IFRS. Therefore, the challenges faced by Indian companies and measures taken by ICAI to adopt IFRS are also studied from auditors. This showed that the companies are facing difficulty to converge into IFRS due to mainly fair value accounting, new method of presentation, tax liability and transparency in disclosure of items. The companies have to incur cost for valuation of fixed assets because an auditor is not an expert in valuation. This study concludes stating that there is need for sufficient training for the management and all users of financial information, which may gear up the companies to adopt IFRS in near future. Keywords: Harmonization, IGAAP, IFRS, fair value accounting
Measures of superstitious beliefs: A meta-analytic review of research
Beliefs; Luck; Meta-analysis; Meta-regression; Reliability; Superstitions
Superstition is a term which is widely used across the globe but, is understood differently by people from different cultures. Superstitious beliefs are challenged by emerging scientific knowledge, and they continue to persist even among advanced societies. In recent years, superstitions are viewed as a belief in luck. The instruments that are available to assess this phenomenon are few and have insufficient psychometric properties. There is a need for developing new standardised measures which explore the complex, conceptual nature of superstitions. A meta-analysis of existing literature was done to explore the existing measures of superstitious beliefs and to examine the relationship between reliability of scales and the various attributes of scales. A literature search was conducted in relevant databases. Suitable transformation procedures for coefficient alpha were used. Meta-regression analysis was done to explore the heterogeneity of data. 41 scales measuring superstitions were analysed. Results indicate that reliability coefficients were from heterogeneous samples. Regression analysis revealed that few characteristics of scales predicted reliability. Journal of the Indian Academy of Applied Psychology.
Journal of the Indian Academy of Applied Psychology, Vol-44, No. 1, pp. 10-24.
Chukkali S., Department of Psychology, Christ University, Bengaluru, Karnataka, 560029, India; James J.K., Department of Psychology, Christ University, Bengaluru, Karnataka, 560029, India; Dey A.M., Centre for Research, Christ University, Bengaluru, Karnataka, 560029, India
Measuring and monitoring Indias progress toward environmental SDGs: variables influencing the advancement
Climate action; Corporate governance; Environment; Sustainability reporting; Sustainable development goals
Purpose: The purpose of this study is the progressive assessment of Indian companies performance on environment-related sustainable development goals (SDGs). The study also aims to analyze the impact of a wide range of governance and firm-level determinants such as board size, gender diversity, board independence, top management commitment, presence of a sustainability committee and experience in nonfinancial reporting on environment-related SDGs performance. Design/methodology/approach: Using a mixed-method approach, this paper developed a framework for assessing business progress on environment-related SDGs by mapping targets of SDGs with indicators of global reporting initiative (GRI) standards. The framework is applied to evaluate the sustainability report of 46 Indian companies for six years for environment-related SDG performance. Multivariate linear regression analysis examines the impact of various governance and firm characteristics on this performance. Findings: The assessment framework identified improved reporting in all categories but significantly increased socio-environmental and socio-economic-environmental categories. Companies in the utility sector performed well, while those in the healthcare industry did not meet expectations. The pooled OLS panel regression results revealed a positive and significant impact of top management commitments, experience in nonfinancial reporting, board gender diversity and sustainability committee on the environment-related SDG disclosure scores. Research limitations/implications: Geographical limitations may limit the generalization in developed countries. The developed SDG assessment framework may help firms choose a business strategy for greater contribution and a governance structure to match this strategy. Investors can receive insight from measured performance, and regulators can lay policies, targets and incentives for different industries based on the interpretation of performance. Originality/value: This study developed an assessment framework to capture the positive business contributions to environment-related SDG and its trends. It sheds light on the critical interaction between corporate governance, management committees, experience in financial reporting and environmental SDG performance to increase the understanding of the determinants of SDG performance. 2025, Emerald Publishing Limited.
Tewari, Seema; Singh, Harjit; Puri, Neha; Nain, Jyoti
Measuring Business Excellence;Volume;29;Issue;2;pp.484-508
Restricted Access; Hardcopy may be available in the library
https://doi.org/10.1108/MBE-08-2024-0124 https://www.scopus.com/pages/publications/105003277664?origin=resultslist
Tewari S., School of Law, Christ University, Bangalore, India; Singh H., Symbiosis Centre for Management Studies Noida, Symbiosis International (Deemed University), Noida, India; Puri N., Amity College of Commerce and Finance, Amity University Noida, Noida, India; Nain J., School of Business, Galgotia University, Greater Noida, India
Measuring autonomy in hybrid work: scale development
Autonomy in work; Hybrid workplace; India; Information Technology Industry; Scale development
Background: Autonomy is a core element in many established management theories, consistently linked to positive employee outcomes. However, the COVID-19 pandemic and rapid technological advancements have transformed workplace dynamics, particularly in the information technology (IT) sector in India, where hybrid work models have gained prominence. Despite this shift, no standardized measure exists to assess the autonomy experienced by employees in hybrid work environments, hindering deeper analysis and understanding. Objective: This study aims to contextualize, develop, and validate the Autonomy in Hybrid Work Scale (AHWS) for the Indian context, providing a tool for researchers and practitioners to systematically examine the impact of autonomy in hybrid work. Methods: A descriptive two-phase study was conducted following DeVelliss scale development framework. Phase 1 focused on conceptualizing and developing the construct through a comprehensive literature review, item generation, and assessment of content and face validity by experts, followed by a pilot test. Phase 2 encompassed the scale validation process, which included Exploratory Factor Analysis (EFA) to identify the underlying factor structure and Confirmatory Factor Analysis (CFA) to validate the model and assess its fit. Results: The data collected from 313 IT employees working in Bengaluru, India, was analyzed to confirm data normality (below 2.58). The items showed a strong and positive correlation (r =.734) with the Work Design Questionnaire which indicated convergent validity. Discriminant validity was confirmed through Fornell-Larcker and Heterotrait-Monotrait (HTMT) criteria, with HTMT values below 0.90. The final analysis yielded an 18-item scale with a Cronbachs alpha of 0.825, comprising four distinct dimensions: (a) work location autonomy, (b) work time autonomy, (c) work scheduling autonomy, and (d) work decision autonomy. Implications: The AHWS offers a valuable tool for both managers and academics to assess how different forms of autonomy influence employee well-being and productivity in hybrid work settings. It also addresses a gap in the literature, providing a foundation for further empirical research on autonomy in hybrid work models. The Author(s) 2025.
Datta, Pallavi; Balasundaram, Sathiyaseelan; N, Elangovan; Nair, Sridevi
Psicologia: Reflexao e Critica;Volume;38;Issue;1;Article No.;8;
Springer Science and Business Media Deutschland GmbH
All Open Access; Gold Open Access; Green Open Access
https://doi.org/10.1186/s41155-025-00338-1 https://www.scopus.com/pages/publications/105001165192?origin=resultslist
Datta P., School of Business and Management, Christ University, Karnataka, Bengaluru, 560029, India; Balasundaram S., School of Business and Management, Christ University, Karnataka, Bengaluru, 560029, India; N E., School of Business and Management, Christ University, Karnataka, Bengaluru, 560029, India; Nair S., School of Business and Management, Christ University, Karnataka, Bengaluru, 560029, India
Measuring Consumer Perception for P2P Platform: NLP Approach
Analysis; Google reviews; LDA; Sentiment analysis; Topic Modelling
The pandemic has forced lenders and borrowers to switch to alternative borrowing., investment solutions. This research explores the Google reviews of users of four P2P lending platforms in India. To understand user sentiments and emotions about P2P lending platforms. The researchers has analysed user sentiments using Vader and Liu Hu methods and defined the polarity as positive or negative sentiment. Further., Plutchik's wheel of emotions was used to relate with the emotions expressed by the users. A purposeful random sampling method was used to select only 4 out of 21 registered P2P lending platforms based on their date of incorporation. The research also defined a framework for carrying out the sentiment analysis process for this study. The overall results showed that 75.51 % of users had positive sentiments., whereas., only 19.35% of users had negative sentiments about the P2P lending platforms. As most of the reviews posted were from the borrower's., emotion of joy was seen in all 4 platforms., followed by emotions of sadness., surprise., anger., disgust., and fear. 2022 IEEE.
2022 2nd International Conference on Intelligent Technologies, CONIT 2022
Institute of Electrical and Electronics Engineers Inc.
Gupta S., Christ University, India; Mahajan J., Christ University, India; Saxena A., Christ University, India
Measuring Critical Thinking Skills with the R-BiLSTM-C Model using a Logical Approach
bidirectional long short-term memory (BiLSTM); critical thinking; enhanced thinking skills
Critical thinking is essential for making informed judgements; it necessitates careful evaluation of pertinent evidence and the application of reasoning. While some individuals possess a more constrained perspective on critical thinking, this elucidation encompasses the predominant views held by the majority. Note-taking, formulating enquiries, and designing experiments exemplify practical actions that may be applied to other creative pursuits, rendering it a valuable skill across diverse domains. This work employed a systematic approach for data preparation, model training, and feature extraction. The primary phase in training unified R-BiLSTM-C models was identified as feature extraction. Standardisation and normalisation, two crucial preprocessing techniques, were employed to ensure uniform and dependable data handling. Furthermore, as the quantity of dependent observations escalated, the study evaluated the efficacy of Reduced Kernel PCA. The proposed solution achieved a 96.82% accuracy rate, surpassing advanced techniques such as CNN and BiLSTM. The findings indicate that the systematic approach enhances the model's performance. A systematic approach is essential for enhancing precision, and analytical reasoning skills are crucial for developing effective machine learning models. The study reinforces the significance of critical thinking in effective decision-making and problem resolution. 2025 IEEE.
Jadhav, Shital; Kumar, M. Dhiliphan; Senthil Kumar, M.K.; Mohan, S.; Basha, H. Anwer; Banerjee, Devleena
2025 International Conference on Intelligent Computing and Knowledge Extraction, ICICKE 2025;
https://doi.org/10.1109/ICICKE65317.2025.11136721 https://www.scopus.com/pages/publications/105022246409?origin=resultslist
Jadhav S., G H Raisoni Institute of Engineering and Business Management, Department of Computer Science and Engineering, Jalgaon, India; Kumar M.D., Stella Mary's College of Engineering, Department of Management Studies, Kanniyakumari, India; Senthil Kumar M.K., Sri Ramakrishna College of Arts & Science, Department of Commerce, Coimbatore, India; Mohan S., Kalasalingam Academy of Research and Education, Department of English, Virudhunagar, India; Basha H.A., Raak Arts and Science College, Perambai, India; Banerjee D., Christ University, Bangalore, India
Measuring Customer Perception on Promotion of Tourism Destinations Using AR and VR Applications: Model Testing and Validation
AR; Customer perception; Tourism; Tourism destinations; VR
The study aims to propose and develop a model to measure the customer perception toward promotional videos created using Augmented Reality (AR) and Virtual Reality (VR) technologies to promote tourism places. Using judgment sampling, 400 tourists were chosen, all of whom had visited various tourist spots in Visakhapatnam and had seen at least two promotional movies highlighting various tourist attractions using AR/VR technology. A properly written questionnaire was produced ahead of time to gather visitors perception for the qualities of augmented and virtual reality advertising attempts. The study revealed that passengers expect full information and appropriate motivation from digital marketing efforts that promote specific tourist locations using Augmented Reality and Virtual Reality. Furthermore, visitors anticipate high-quality visual and audio features in digital advertising materials for tourist destinations, with the goal of improving the entire customer experience and inspiring future visits. The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2025.
Kotni, V. V. Devi Prasad; Bogala, Mahendra Reddy; Vanapalli, Gowri Lakshmi; Nagaraj, K.V.; Nitcherla, Somasekhar; Vemula, Rajesh
Smart Innovation, Systems and Technologies;Volume;420;pp.543-553
https://doi.org/10.1007/978-981-96-0139-4_44 https://www.scopus.com/pages/publications/105002046145?origin=resultslist
Kotni V.V.D.P., GITAM School of Business, Gandhi Institute of Technology and Management, Deemed to Be University, Rushikonda, Andhra Pradesh, Visakhapatnam, 530045, India; Bogala M.R., Department of Management Studies, Gayatri Vidya Parishad College for Degree and PG Courses (A), Rushikonda, Andhra Pradesh, Visakhapatnam, 530045, India; Vanapalli G.L., GITAM School of Business, Gandhi Institute of Technology and Management, Deemed to Be University, Rushikonda, Andhra Pradesh, Visakhapatnam, 530045, India; Nagaraj K.V., Department of Management Studies, Gayatri Vidya Parishad College for Degree and PG Courses (A), Rushikonda, Andhra Pradesh, Visakhapatnam, 530045, India; Nitcherla S., School of Management, Centurion University of Technology and Management (CUTM-AP), Andhra Pradesh, Vizianagaram, 535003, India; Vemula R., School of Business and Management, Christ University, Karnataka, Bangalore, 560029, India
Measuring employee attrition intention in an auto-component manufacturing organisation
employee attrition; job satisfaction; job stress; structural equation modelling; work-life balance
Orientation: The auto-component manufacturing sector, a critical contributor to industrial growth, faces persistent challenges related to employee attrition, affecting operational efficiency and workforce stability. This study examines the influence of job satisfaction, work-life balance, and job stress on attrition intention among employees in Indian auto-component manufacturing organisations. Research purpose: To identify the key factors contributing to employee turnover and evaluate their relative impact on attrition intention. Motivation for the study: Amid rising concerns over attrition in the manufacturing industry, this research aims to explore how work-life balance and job stress influence employees intentions to leave their organisations. Research approach/design and method: Data were collected from 192 employees across 10 auto-component manufacturing companies in Pune, Maharashtra, India, using a structured questionnaire. The responses were analysed through structural equation modelling (SEM) using SPSS and AMOS. Main findings: The study reveals that work-life balance and job stress significantly impact attrition intention. Employees with poor work-life balance and high job stress are more likely to consider leaving. However, job satisfaction does not have a direct effect on attrition intention. Practical/managerial implications: Organisations should prioritise improving work-life balance and managing job stress by implementing flexible work policies, wellness programmes, and realistic workload distribution. Contribution/value-add: This study underscores the importance of addressing work-life balance and job stress in retention strategies, offering actionable insights for HR managers to mitigate attrition in the auto-component manufacturing sector. 2025. The Authors.
Hinge, Punamkumar; Salunkhe, Harshal A.; Boralkar, Mohit; Bang, Sanjay; Thakur, Abhijeet; Adhegaonkar, Vikas R.
SA Journal of Human Resource Management;Volume;23;Issue;;Article No.;a3003;
https://doi.org/10.4102/sajhrm.v23i0.3003 https://www.scopus.com/pages/publications/105012722185?origin=resultslist
Hinge P., School of Business Management and Commerce, Faculty of Business Management and Commerce, JSPM University, Maharashtra, India; Salunkhe H.A., School of Business, Dr. Vishwanath Karad, MIT World Peace University, Pune, India; Boralkar M., School of Business and Management, Faculty of Management, Christ University, Bangalore, India; Bang S., Department of Law, Christ University, Bangalore, India; Thakur A., Balaji Institute of Modern Management, Sri Balaji University, Pune, India; Adhegaonkar V.R., Balaji Institute of Technology & Management, Sri Balaji University, Pune, India
Measuring Financial Inclusion in India: An Approach
financial development; financial inclusion; financial inclusion index; financial institutions; financial literacy
In light of the COVID-19-induced financial crisis, the need for robust financial services and networks has become more apparent than ever, which necessitated the accurate measurement of the breadth of financial inclusion in India. First, the study conducted a detailed critical review of the current indices and their construction methodology. Then, we created a financial inclusion index for India by accounting for the flaws existing in the current indices. The primary contribution of this study to the existing literature is the new approach it proposed for the assignment of weights in the financial inclusion index. Based on this new financial inclusion index, the study concluded that Indias Southern states and union territories showed better financial inclusion. In contrast, the traditionally backward BIMARU states of Bihar, Madhya Pradesh, Rajasthan, and Uttar Pradesh, and a few of the North Eastern states of India, lagged. The study also provided a refined and inclusive definition of financial inclusion based on its new approach to index creation. 2023, Associated Management Consultants Pvt. Ltd.. All rights reserved.
Indian Journal of Finance, Vol-17, No. 1, pp. 27-46.
Kapoor S., TSDPS, Planning Department, Government of Telangana State, Telangana,, Hyderabad, 500 004, India; Mohandas V., Department of Economics, CHRIST (Deemed to be University), Yeshwanthpur Campus, Karnataka, Bengaluru, 560 073, India
Measuring Indian Blackbuck Antilope cervicapra (Mammalia: Cetartiodactyla: Bovidae) abundance at Basur Amruth Mahal Kaval Conservation Reserve, Chikkamagaluru, southern India
Density estimation; Distance sampling; Habitat modification; Imperfect detection; Long-term viability; Monitoring
Grasslands are among the most critically endangered ecosystems in the tropics, but they are often treated as wastelands and conservation efforts are seldom directed towards these landscapes. The Blackbuck Antilope cervicapra is a large wild herbivore found in most grassland ecosystems across India. Despite their critical role in their trophic web, there are no reliable estimates of Blackbuck populations from their geographic range that takes detection probability into consideration. In this study, we conducted field surveys to estimate Blackbuck density in Basur Amruth Mahal Kaval Conservation (BAMKCR) with an area of 7.36km2 in southern India. We surveyed Blackbucks for a week in July 2014 along straight line transects between 09:00-12:00 hr and used the distance sampling approach to address the imperfect detection. A total of three transect lines of lengths 3.01km, 2.4km and 1.2km were sampled for seven temporal replicates. With an effort of 46.27km, 56 sightings of Blackbucks were recorded that was analyzed using the program DISTANCE. With a detection probability of 0.58 (0.053 SD) the estimated density of Blackbuck was 26.23 (6 SD) individuals/km2. The derived abundance estimate was 193 (c. 148-238) individuals in the study area. Our results show implications of a statistically robust design that accounts for imperfect detection. It provides an insight into a resident population of Blackbucks in a dynamic and fragile habitat. Blackbuck density estimate from this study sets the background for periodic monitoring of their populations, examination of the impacts of habitat modifications and gauge long-term viability of the grassland habitat in BAMKCR. Sagar & Antoney 2017.
Journal of Threatened Taxa, Vol-9, No. 7, pp. 10468-10472.
Wildlife Information Liaison Development Society
Sagar H.S.S.C., Department of Zoology, Christ University, Hosur Road, Bengaluru, Karnataka, 560029, India, Wildlife Conservation Action Team - Chikkamagaluru, Bharath Scouts and Guides Building, District Playground, Chikkamagaluru, Karnataka, 577101, India; Antoney P.U., Department of Zoology, Christ University, Hosur Road, Bengaluru, Karnataka, 560029, India
Measuring Student Satisfaction: Services Provided by Higher Educational Institutions
The changing scenario in education has started to consider student as a customer (Zaiiri, 1995; Hill, 1995; Elliot & Healy 2001; Rowley, 2003; Sakthivel et al, 2005). As the students are the major customer of educational institution, it is important to consider students (customers) satisfaction. This study aims to contribute to the literature by indentifying the components of students` satisfaction with service provided by educational institutions. The components of student satisfaction were identified by conducting interviews with subject matter experts (N=10) and students (N=15) studying bachelor degree in arts, science and commerce in various public and private college in Bangalore. Based on the result of explorative study, the student satisfaction scale was developed with 76 items. This scale was used to collect data from 800 college students. The explorative factor analysis was used to explore factors of student satisfaction and was found that all the items measured single construct ?? student satisfaction. The reliability and validity of the scale was developed. The paper concludes discussing theoretical and academic implications, limitation and future research direction. Keywords: students` satisfaction, expectation disconfirmation theory, scale development and validation
Measuring Support Providers Perspectives on Single-Session Therapy: Psychometric Evidence for SSTMS and BAT-Q
BAT-Q; brief therapy; Single-session therapy; SSTMS; support provider
Objective: Effective Single-Session Therapy (SST) hinges on the support providers specific perspectives that align with SST thinking. This study provides validity evidence for the scores of the Belief and Attitude Toward Therapy Questionnaire (BAT-Q) and develops the Single-Session Therapy Mindset Scale (SSTMS). Method: A diverse global sample of 415 practicing and trainee mental health support providers involved with individual psychotherapy provided data online. Results: The BAT-Q demonstrated strong psychometric properties in our sample (Cronbachs ? = 0.833), confirming its continued relevance and reliability. Exploratory Factor Analysis helped with item reduction of the newly developed SSTMS. It demonstrated internal consistency (Cronbachs ? = 0.826) and significant correlations with the BAT-Q. Receiver operating characteristic curve analysis could identify a cutoff value of 46/60 on SSTMS to identify support providers with the mindset for successful SST practice. Conclusions: These scales empower researchers to explore SST implementation, training, and cultural impacts and support providers for self-assessment, ultimately advancing SST. 2026 Association for Assessment and Research in Counseling (AARC).
Joseph, Jasmine; Kushwaha, Rashi; Rajan, Santhosh Kareepadath; Cannistr Flavio
Measurement and Evaluation in Counseling and Development;
https://doi.org/10.1080/07481756.2025.2608090 https://www.scopus.com/pages/publications/105029426147?origin=resultslist
Joseph J., CHRIST (Deemed to be University), Bengaluru, India; Kushwaha R., CHRIST (Deemed to be University), Bengaluru, India; Rajan S.K., CHRIST (Deemed to be University), Bengaluru, India; CannistrF., Italian Center for Single Session Therapy, Rome, Italy
Measuring the Economic Burden of Health Conditions among White?Collar Employees: A Cross?Sectional Study from Delhi? NCR
Direct cost; economic burden; health conditions; indirect cost; non-communicable diseases; white-collar employees
Background: In the past few decades, there has been a significant increase in healthcare expenditure due to the prevalence of health issues across the globe. This is primarily seen among white-collar employees due to the sedentary nature of their jobs, which affects their current earnings (Purchasing Power) directly due to the reallocation of their real income towards healthcare expenditure (Economic Burden) and indirectly by impacting work productivity through sick leaves. Aim: To measure the economic burden of disease(s) among white-collar employees, and to study the same across different socio-demographic variables. Methods: A cross-sectional study has been conducted in the region of Delhi-NCR among 357 white-collar employees. A random sampling method was adopted using a structured questionnaire. The questionnaire collected information regarding the direct and indirect costs of health conditions with a recall period of one month. The cumulative score of these monthly costs was converted to annual data to estimate the economic burden of the health conditions among the employees over a year. Results: As compared to Communicable diseases (16.24%), Non-communicable diseases (27.17%) were more prevalent among the respondents. Compared to other diseases, the employees suffering from Heart diseases (INR 7,62,237.50), Spinal health issues (INR 1,73,625.00), and Diabetes (INR 1,64,535.71) incurred more economic burden. At a 5% significance level, no significant difference was observed in economic burden for Gender and BMI. However, the economic burden was significantly different across the categories of Age and Monthly income. A positive association can be observed in economic burden with the increasing categories of age and monthly income. Conclusion: With the nature of sedentary work (desk jobs), white-collar employees are at a greater risk of exposure to various NCDs than CDs and incur a significant amount of out-of-pocket expenditure to manage their health status. 2023 Wolters Kluwer Medknow Publications. All rights reserved.
Indian Journal of Occupational and Environmental Medicine, Vol-27, No. 4, pp. 317-324.
https://doi.org/10.4103/ijoem.ijoem_210_22 https://www.scopus.com/inward/record.uri?eid=2-s2.0-85183155082&doi=10.4103%2fijoem.ijoem_210_22&partnerID=40&md5=b77eb9848ec71a8f30564a1716fb1d1f
Yadav M., Department of Economics, CHRIST (Deemed to be University), Karnataka, Bengaluru, India; Viji B., Department of Economics, CHRIST (Deemed to be University), Karnataka, Bengaluru, India
Measuring the Impact of Chatbot Attributes in Enhancing Consumer Satisfaction and Brand Loyalty Among Centennials: PLS-SEM Analysis
Brand loyalty; Centennial customers; Chatbots; Cognitive traits; Customer satisfaction; E-agents; New technologies
PurposeThis study investigates the potential impact of consumers views about chatbots dynamic, behavioral, and cognitive features on their satisfaction and brand loyalty. Design/methodology/approachData were collected using a survey comprising questionnaires from a sample of Indian centennial customers. Purposive sampling was the technique utilized. After that, the data was analyzed using the partial least squares algorithm with the help of smartPLS for structured modelling. FindingsThe results demonstrated that chatbots affective, behavioral, and cognitive characteristics significantly impacted consumer satisfaction and enhanced brand loyalty. Practical implicationsChatbots can improve brand loyalty by taking into account the affective, behavioral, and cognitive traits of their e-agents. Originality/valueThis work aims to contribute and enhance the expanding corpus of research on chatbots effects on increasing brand love. The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2025.
Tripathi, Abhinav P.; Tripathi, Anju; Gupta, Upasana; Malik, Mehak
Springer Proceedings in Business and Economics;pp.173-191
https://doi.org/10.1007/978-981-97-7030-4_12 https://www.scopus.com/pages/publications/105020164667?origin=resultslist
Tripathi A.P., Christ (Deemed to Be University), Delhi NCR, Ghaziabad, India; Tripathi A., Jaipuria School of Business, Ghaziabad, India; Gupta U., Christ (Deemed to Be University), Delhi NCR, Ghaziabad, India; Malik M., Christ (Deemed to Be University), Delhi NCR, Ghaziabad, India
Measuring the semantic priming effect across many languages
Buchanan, Erin M.; Cuccolo, Kelly; Heyman, Tom; van Berkel, Niels; Coles, Nicholas A.; Iyer, Aishwarya; Peters, Kim; van t Veer, A.E.; Montefinese, Maria; Maxwell, Nicholas P.; Taylor, Jack E.; Valentine, Kathrene D.; Arriaga, Patria; Barzykowski, Krystian; Boucher, Leanne; Collins, W. Matthew; Vaidis, David C.; Aczel, Balazs; Al-Hoorie, Ali H.; Ambrosini, Ettore; Besson, Th; Burin, Debora I.; Butt, Muhammad Mussaffa; Clarke, A. J. Benjamin; Daryani, Yalda; El-Dakhs, Dina Abdel Salam; Elsherif, Mahmoud M.; Ferndez-Lez, Maria; Ferreira, Paulo Roberto dos Santos; Freitag, Raquel Meister Ko; Gattei, Carolina A.; Godbersen, Hendrik; Grim, Philip A.; Halama, Peter; Havan, Patrik; Irrazabal, Natalia C.; Isloi, Chris; Iversen, Rebecca Kvisler; Julliard, Yoann; Karaaslan, Aslan; Koh, Michal; Kohov Veronika; Kos, Julija; Kosachenko, Alexandra I.; Lima, Tiago JessSouza de; Mak, Matthew H. C.; Manouilidou, Christina; Marciaga, Leonardo A.; Melinna, Xiaolin Melinna; Miranda, Jacob Francisco; Morvinski, Coby; Muppoor, Aishwarya; Mdeci, F. Elif; Nielsen, Yngwie A.; Oliveros, Juan Carlos; Oni?, Ja; Papadatou-Pastou, Marietta; Patel, Ishani; Pavlovi?, Zoran; Paon, Bla; Pfuhl, Gerit; Pronizius, Ekaterina; Roettger, Timo B.; Ronderos, Camilo R.; Ruiz-Fernandez, Susana; Senderecka, Magdalena; Solak, ?lar; Stkler, Anna; Szekely-Copdean, Raluca D.; Taboh, AnalR.; Thiault, Ri; Tran, Ulrich S.; Trecca, Fabio; Ulloa, JosLuis; Varga, Marton A.; Verheyen, Steven; Vesi? Pavlovi?, Tijana; Viviani, Giada; Wang, Nan; Zivna, Kristyna; Yun, Chen Chu; Clark, Oliver James; Acar, Oguz A.; Adamkovi?, Mat Agnoletti, Giulia; Akil, Atakan M.; Alsuhaibani, Zainab; Amenta, Simona; Ananyeva, Olga A.; Andreychik, Michael; Angele, Bernhard; Arias Quines, Danna Catalina; Arinze, Nwadiogo Chisom; Askelund, Adrian Dahl; Baker, Bradley J.; Baskin, Ernest; Batalha, Luisa; Batres, Carlota; Beato, Maria Soledad; Becker, Manuel; Becker, Maja; Behnke, Maciej; Blaison, Christophe; Borghi, Anna M.; Brandstter, Eduard; Buczny, Jacek; Budak, Nesrin; Cabana, varo; Cai, Zhenguang G.; Canessa, Enrique C.; Cavdan, Me; Cecchetti, Luca; Chaigneau, Sergio E.; Chang, Feria X. W.; Chartier, Christopher R.; Chen, Sau-Chin; Cherniaeva, Elena; Christiansen, Morten H.; Chuan-Peng, Hu; Chwi?kowska, Patrycja; Comesa, Montserrat; Cong, Chin Wen; Cowan, Casey; Dandeneau, Sthane Daniel; David, Oana A.; Davis, William E.; Demirag Burak, Elif Gizem; Dixson, Barnaby James Wyld; Du, Hongfei; Duclos, Rod; Duyck, Wouter; Efimova, Liudmila A.; Egan, Ciara; Era, Vanessa; Evans, Thomas R.; Exner, Anna; Feldman, Gilad; Fellnhofer, Katharina; Fini, Chiara; Fisher, Sarah E.; Flowe, Heather D.; Garrido-Vquez, Patricia; Gatti, Daniele; Geller, Jason; Giannouli, Vaitsa; Gorokhova, Anna Sergeevna; Griener, Lindsay M.; Grigoryev, Dmitry; Grossmann, Igor; Ghasemi, Hesam; Handjaras, Giacomo; Hauspie, Cathy; He, Zhiran; Heilman, Renata M.; Heydari, Amirmahdi; Hine, Alanna M.; Hoyer, Karlijn; Hryniszak, Weronika; Hsiao, Janet Hui-wen; Huang, Guanxiong; Ihaya, Keiko; Ilczuk, Ewa; Ishii, Tatsunori; Dumbrav?, Andrei; Jankowiak, Katarzyna; Jiang, Xiaoming; Johnson, David C.; Jo?czyk, Rafa?; Jvikivi, Juhani; Kaczer, Laura; Kamermans, Kevin Leander; Karl, Johannes A.; Karner, Alexander; Ka?m, Pavol; Keech, Jacob J.; Kim, M. Justin; Korbmacher, Max; Kostorz, Kathrin; Kowal, Marta; Kratochvil, Tomas; Kunisato, Yoshihiko; Kuzminska, Anna O.; Ktvyessy, Lia; Ke, Fatma Ebru; Kter, Massimo; K?ku?, Magdalena; Labusch, Melanie; Lamm, Claus; Lau, Chaak Ming; Laurino, Julieta; Law, Wilbert; Lettieri, Giada; Levitan, Carmel A.; Lu, Jackson G.; MacPherson, Sarah E.; Malinakova, Klara; Manriquez-Robles, Diego; Marchant, Nicol; Marelli, Marco; Martez, Mart; Matthews, Molly F.; Mattiassi, Alan D. A.; Mattoli-Schez, Josefina; Mazzuca, Claudia; McGovern, David P.; Meier, Zdenek; Melinscak, Filip; Misiak, Michal; Monteiro, Luis Carlos Pereira; Moreau, David; Moreno, Sebastian; Mulgrew, Kate E.; Muller, Dominique; Nagy, Tam; Naranowicz, Marcin; Ndukaihe, Izuchukwu L. G.; Neta, Maital; Novak, Lukas; Ogbonnaya, Chisom Esther; Paek, Jessica Jee Won; Paltoglou, Aspasia Eleni; Parada, Francisco J.; Parker, Adam J.; Paruzel-Czachura, Mariola; Pavlov, Yuri G.; Paydarfard, Saeed; Pegler, Dominik; Peker, Mehmet; Perea, Manuel; Pfattheicher, Stefan; Protzko, John; Prusova, Irina Sergeevna; Pypno-Blajda, Katarzyna; Qiu, Zhuang; Reips, Ulf-Dietrich; Ribeiro, Gianni; Rinaldi, Luca; Roberts, S. Craig; Roembke, Tanja C.; Romanova, Marina O.; Ross, Robert M.; Rr, Jan Philipp; R?zao?lu, Filiz; Saari, Toni T.; Sampaolo, Erika; Santos, Anabela Caetano; Sar?k, F. ?lar; Sasaki, Kyoshiro; Scharnowski, Frank; Schmidt, Kathleen; Sepehri, Amir; Ser, Halid O.; Sevincer, A. Timur; Siew, Cynthia S. Q.; Simonetti, Matilde Ellen; Sirota, Miroslav; Sorokowska, Agnieszka; Sorokowski, Piotr; Stephen, Ian D.; Stevens, Laura M.; Stewart, Suzanne L. K.; Steyrl, David; Stieger, Stefan; Studzinska, Anna; Suarez, Mar; Szala, Anna; Szmalec, Arnaud; Sznycer, Daniel; Szumowska, Ewa; Slemez, Sinem; Slemez, Bahad?r; Takashima, Kaito; Tamnes, Christian K.; Tan, Joel C. R.; Tang, Chengxiang; Tavel, Peter; Tejada, Julian; Thompson, Benjamin C.; Tiernan, Jake G.; Torres-Muz, Vicente; Touloumakos, Anna K.; Trolie, Bastien; Tschense, Monika; Tkan, Belgar Nilay; Vadillo, Miguel A.; Vannucci, Caterina; Varnum, Michael E. W.; Vasilev, Martin R.; Vaughn, Leigh Ann; Verkampt, Fanny; Villar, Liliana M.; Wallot, Sebastian; Wang, Lijun; Wang, Ke; Williams, Glenn Patrick; Willinger, David; Wolfe, Kelly; Wormley, Alexandra S.; Yamada, Yuki; Yang, Yunkai; Zhou, Yuwei; Zhang, Mengfan; Zheng, Wang; Zheng, Yueyuan; Zhou, Chenghao; Zidkova, Radka; Zumbrunn, Nina Meret; ker, Ogeday; ksan, Sami; er, Sezin; do?ru, Asil Ali; ?ahin, Seda Merve; Kasanov, Dauren; Arvanitis, Alexios; Brick, Cameron; Colloff, Melissa F.; Gallyamova, Albina; Koch, Christopher; Ropovik, Ivan; Zhang, Yucheng; Zhou, Xingxing; Patel, Sneh; Suchow, Jordan W.; Lewis, Savannah C.
Nature Human Behaviour;Volume;10;Issue;1;pp.182-201
https://doi.org/10.1038/s41562-025-02254-x https://www.scopus.com/pages/publications/105017844574?origin=resultslist
Buchanan E.M., Analytics, Harrisburg University of Science and Technology, Harrisburg, PA, United States; Cuccolo K., Independent researcher, Alma, MI, United States; Heyman T., Methodology and Statistics Unit, Institute of Psychology, Leiden University, Leiden, Netherlands; van Berkel N., Department of Computer Science, Aalborg University, Aalborg, Denmark; Coles N.A., Center for the Study of Language and Information, Stanford University, Stanford, CA, United States; Iyer A., Department of Psychology, Christ University, Bangalore, India; Peters K., University of Exeter Business School, University of Exeter, Exeter, United Kingdom; van t Veer A.E., Methodology and Statistics Unit, Institute of Psychology, Leiden University, Leiden, Netherlands; Montefinese M., Department of Developmental Psychology and Socialisation, University of Padova, Padua, Italy; Maxwell N.P., Psychology, Midwestern State University, Wichita Falls, TX, United States; Taylor J.E., Department of Psychology, Goethe University Frankfurt, Frankfurt, Germany; Valentine K.D., General Internal Medicine, Massachusetts General Hospital, Boston, MA, United States, Medicine, Harvard Medical School, Boston, MA, United States; Arriaga P., Department of Psychology, CIS-Iscte, University Institute of Lisbon, Lisbon, Portugal; Barzykowski K., Institute of Psychology, Faculty of Philosophy, Jagiellonian University, Krakow, Poland; Boucher L., Department of Psychology and Neuroscience, Nova Southeastern University, Fort Lauderdale, FL, United States; Collins W.M., Department of Psychology and Neuroscience, Nova Southeastern University, Fort Lauderdale, FL, United States; Vaidis D.C., CLLE, University of Toulouse, CNRS, Toulouse, France, Institute of Psychology, Social Psychology Laboratory, Paris CitUniversity, Paris, France; Aczel B., Institute of Psychology, ELTE Ev Lord University, Budapest, Hungary; Al-Hoorie A.H., Royal Commission for Jubail and Yanbu, Jubail Industrial City, Saudi Arabia; Ambrosini E., Department of Neuroscience, Padova Neuroscience Center, University of Padova, Padua, Italy; Besson T., Social Psychology Laboratory, Paris CitUniversity, Boulogne-Billancourt, France; Burin D.I., Faculty of Psychology, University of Buenos Aires, CONICET, Buenos Aires, Argentina, Department of Psychology, University of Palermo, Buenos Aires, Argentina; Butt M.M., Department of Psychology, Government College University, Lahore, Pakistan; Clarke A.J.B., Department of Linguistics, Thammasat University, Pathum Thani, Thailand; Daryani Y., Department of Psychology, University of Tehran, Tehran, Iran; El-Dakhs D.A.S., College of Humanities and Sciences, Prince Sultan University, Riyadh, Saudi Arabia; Elsherif M.M., Department of Psychology, University of Birmingham, Birmingham, United Kingdom, Department of Vision Sciences, University of Leicester, Leicester, United Kingdom; Ferndez-Lez M., Department of Basic Psychology and ERI-Lectura, University of Valcia, Valcia, Spain; Ferreira P.R.D.S., Instituto de Psicologia, Federal University of Uberldia, Uberldia, Brazil; Freitag R.M.K., Departamento de Letras Vernulas, Federal University of Sergipe, S Crist, Brazil; Gattei C.A., School of Government, Torcuato Di Tella University, Buenos Aires, Argentina, Institute of Linguistics, Faculty of Philosophy and Letters, University of Buenos Aires, CONICET, Buenos Aires, Argentina; Godbersen H., FOM University of Applied Sciences, Essen, Germany; Grim P.A., II, Computer and Information Sciences, Harrisburg University of Science and Technology, Harrisburg, PA, United States; Halama P., Centre of Social and Psychological Sciences, Slovak Academy of Sciences, Bratislava, Slovakia; Havan P., Institute of Experimental Psychology, Centre of Social and Psychological Sciences, Slovak Academy of Sciences, Bratislava, Slovakia; Irrazabal N.C., Department of Psychology, University of Palermo, CONICET, Buenos Aires, Argentina; Isloi C., Unaffiliated researcher, London, United Kingdom; Iversen R.K., Department of Philosophy, Classics, History of Art and Ideas (IFIKK), University of Oslo, Oslo, Norway; Julliard Y., LIP/PC2S, University of Grenoble Alpes, Grenoble, France, LIP/PC2S, University of Savoy Mont Blanc, Chamby, France; Karaaslan A., Department of Psychology, Izmir Katip Celebi University, Izmir, Turkey, Department of Psychology, Ege University, Izmir, Turkey; Koh M., Department of Psychology, Faculty of Philosophy and Arts, University of Trnava, Trnava, Slovakia; KohovV., Faculty of Philosophy and Arts, University of Trnava, Trnava, Slovakia; Kos J., Department of Comparative and General Linguistics, Faculty of Arts, University of Ljubljana, Ljubljana, Slovenia; Kosachenko A.I., Department of Psychology, Ural Federal University, Ekaterinburg, Russian Federation; Lima T.J.S.D., Department of Social and Work Psychology, Social and Affective Neuroscience Institute, University of Brasia, Brasia, Brazil; Mak M.H.C., Department of Psychology, University of Warwick, Coventry, United Kingdom; Manouilidou C., Department of Comparative and General Linguistics, Faculty of Arts, University of Ljubljana, Ljubljana, Slovenia; Marciaga L.A., Department of Applied Mathematics, Illinois Institute of Technology, Chicago, IL, United States; Melinna X.M., School of Optometry, Hong Kong Polytechnic University, Hong Kong; Miranda J.F., Psychology Department, California State UniversityEast Bay, Hayward, CA, United States; Morvinski C., Department of Management, Ben-Gurion University of the Negev, Beer Sheva, Israel; Muppoor A., Department of Psychology and Neuroscience, Nova Southeastern University, Fort Lauderdale, FL, United States; Mdeci F.E., Department of Psychology, Bilkent University, Ankara, Turkey; Nielsen Y.A., School of Communication and Culture, Interacting Minds Centre, Aarhus University, Aarhus, Denmark; Oliveros J.C., Department of Psychology, Catholic University of Maule, Talca, Chile; Oni? J., Department of Comparative and General Linguistics, Faculty of Arts, University of Ljubljana, Ljubljana, Slovenia; Papadatou-Pastou M., Department of Primary Education, National and Kapodistrian University of Athens, Athens, Greece; Patel I., College of Psychology, Nova Southeastern University, Fort Lauderdale, FL, United States; Pavlovi? Z., Department of Psychology, Faculty of Philosophy, University of Belgrade, Belgrade, Serbia; Paon B., Department of Comparative and General Linguistics, Faculty of Arts, University of Ljubljana, Ljubljana, Slovenia; Pfuhl G., Department of Psychology, UiT The Arctic University of Norway, Troms Norway, Department of Psychology, Norwegian University of Science and Technology, Trondheim, Norway; Pronizius E., Department of Cognition, Emotion, and Methods in Psychology, Faculty of Psychology, University of Vienna, Vienna, Austria; Roettger T.B., Department of Linguistics and Scandinavian Studies, University of Oslo, Oslo, Norway; Ronderos C.R., Center for Languages and Literature, Lund University, Lund, Sweden; Ruiz-Fernandez S., Department of Psychology, Brandenburg University of Technology Cottbus-Senftenberg, Cottbus-Senftenberg, Germany; Senderecka M., Centre for Cognitive Science, Jagiellonian University, Krakow, Poland; Solak , Department of Psychology, Manisa Celal Bayar University, Manisa, Turkey; Stkler A., Department of Psychology and Behavioural Sciences, Aarhus University, Aarhus, Denmark; Szekely-Copdean R.D., Department of Social and Human Research, Romanian Academy, Cluj-Napoca, Romania, Department of Psychology, Babe?-Bolyai University, Cluj-Napoca, Romania; Taboh A.R., CONICET, Institute of Interdisciplinary and Applied Physics (INFINA), University of Buenos Aires, Buenos Aires, Argentina, School of Business, Neuroscience Lab, Torcuato Di Tella University, Buenos Aires, Argentina; Thiault R., Department of Psychology, University of Quebec in Montreal, Montreal, QC, Canada; Tran U.S., Department of Cognition, Emotion, and Methods in Psychology, Faculty of Psychology, University of Vienna, Vienna, Austria; Trecca F., TrygFondens Centre for Child Research, School of Communication and Culture, Aarhus University, Aarhus, Denmark; Ulloa J.L., Associative Research Program in Cognitive Sciences, Research Center in Cognitive Sciences, Faculty of Psychology, University of Talca, Talca, Chile; Varga M.A., ELTE Ev Lord University, Budapest, Hungary; Verheyen S., Department of Psychology, Education and Child Studies, Erasmus University Rotterdam, Rotterdam, Netherlands; Vesi? Pavlovi? T., Faculty of Mechanical Engineering, University of Belgrade, Belgrade, Serbia; Viviani G., Department of Developmental Psychology and Socialisation, University of Padova, Padua, Italy; Wang N., Department of Linguistics, The Chinese University of Hong Kong, Hong Kong; Zivna K., Olomouc University Social Health Institute, PalackUniversity Olomouc, Olomouc, Czech Republic; Yun C.C., School of Psychology, Nanjing Normal University, Nanjing, China; Clark O.J., Faculty of Health and Education, Manchester Metropolitan University, Manchester, United Kingdom; Acar O.A., Kings Business School, Kings College London, London, United Kingdom; Adamkovi? M., Institute of Social Sciences CSPS, Slovak Academy of Sciences, Koice, Slovakia, Faculty of Education, Charles University, Prague, Czech Republic, Faculty of Humanities and Social Sciences, University of Jyvkyl Jyvkyl Finland; Agnoletti G., School of Government, Torcuato Di Tella University, Buenos Aires, Argentina, School of Government, Favaloro University, Buenos Aires, Argentina; Akil A.M., Institute of Psychology, ELTE Ev Lord University, Budapest, Hungary, Institute of Psychology, Faculty of Humanities and Social Sciences, University of Ps, Ps, Hungary; Alsuhaibani Z., College of Languages and Translation, Imam Mohammad Ibn Saud Islamic University, Riyadh, Saudi Arabia; Amenta S., Department of Psychology, University of Milano-Bicocca, Milan, Italy; Ananyeva O.A., Laboratory for Psychology of Social Inequality, National Research University Higher School of Economics, Moscow, Russian Federation; Andreychik M., Department of Psychological and Brain Sciences, Fairfield University, Fairfield, CT, United States; Angele B., Nebrija Research Center in Cognition (CINC), Antonio de Nebrija University, Madrid, Spain; Arias Quines D.C., Department of Psychology, Franklin and Marshall College, Lancaster, PA, United States; Arinze N.C., Psychology, Alex Ekwueme Federal University, Ndufu-Alike, Nigeria; Askelund A.D., Nic Waals Institute, Lovisenberg Diaconal Hospital, Oslo, Norway, PsychGen Center for Genetic Epidemiology and Mental Health, Norwegian Institute of Public Health, Oslo, Norway; Baker B.J., Department of Sport, Tourism and Hospitality Management, Temple University, Philadelphia, PA, United States; Baskin E., Department of Food, Pharma, and Healthcare, Saint Josephs University, Philadelphia, PA, United States; Batalha L., School of Behavioural and Health Sciences, Australian Catholic University, Strathfield, NSW, Australia; Batres C., Department of Psychology, Franklin and Marshall College, Lancaster, PA, United States; Beato M.S., Faculty of Psychology, University of Salamanca, Salamanca, Spain; Becker M., Psychological Assessment, University of Marburg, Marburg, Germany; Becker M., CLLE, University of Toulouse, CNRS, Toulouse, France; Behnke M., Department of Psychology and Cognitive Science, Cognitive Neuroscience Center, Adam Mickiewicz University, Poznan, Poland; Blaison C., Social Psychology Laboratory, Paris CitUniversity, Paris, France; Borghi A.M., Department of Dynamic and Clinical Psychology, and Health Studies, Sapienza University of Rome, Rome, Italy, Institute of Cognitive Sciences and Technologies, Italian Research Council, Rome, Italy; Brandstter E., Department of Economic Psychology, Johannes Kepler University Linz, Linz, Austria; Buczny J., Department of Experimental and Applied Psychology, Vrije Universiteit Amsterdam, Amsterdam, Netherlands; Budak N., Department of Psychology, Middle East Technical University, Ankara, Turkey; Cabana , School of Psychology and CICADA, Interdisciplinary Center for Data Science and Machine Learning, University of the Republic, Montevideo, Uruguay; Cai Z.G., Department of Linguistics and Modern Languages, The Chinese University of Hong Kong, Hong Kong; Canessa E.C., Faculty of Engineering and Science, University of Adolfo Ibez, Vi del Mar, Chile, Deparment of Psychology, Center for Cognition Research, University of Adolfo Ibez, Santiago, Chile; Cavdan M., Experimental Psychology, Justus Liebig University Giessen, Giessen, Germany; Cecchetti L., Social and Affective Neuroscience Group, IMT School for Advanced Studies, Lucca, Italy; Chaigneau S.E., Center for Social and Cognitive Neuroscience, School of Psychology, University of Adolfo Ibez, Santiago, Chile; Chang F.X.W., Department of Psychology, National University of Singapore, Singapore, Singapore; Chartier C.R., Department of Psychology, Ashland University, Ashland, OH, United States; Chen S.-C., Department of Human Development and Psychology, Tzu-Chi University, Haulien, Taiwan; Cherniaeva E., Laboratory for Psychology of Social Inequality, National Research University Higher School of Economics, Moscow, Russian Federation; Christiansen M.H., Department of Psychology, Cornell University, Ithaca, NY, United States, Interacting Minds Centre, Aarhus University, Aarhus, Denmark; Chuan-Peng H., School of Psychology, Nanjing Normal University, Nanjing, China; Chwi?kowska P., Psychology and Cognitive Science Department, Adam Mickiewicz University, Pozna?, Poland; Comesa M., Basic Psychology, Psycholinguistics Research Line, CIPsi, School of Psychology, University of Minho, Braga, Portugal; Cong C.W., School of Education, Humanities and Social Sciences, Wawasan Open University, George Town, Malaysia; Cowan C., School of Psychology, University of Galway, Galway, Ireland; Dandeneau S.D., Psychology, Memorial University of Newfoundland, St. Johns, NL, Canada; David O.A., International Institute for the Advanced Studies of Psychotherapy and Applied Mental Health, Babe?-Bolyai University, Cluj-Napoca, Romania; Davis W.E., Department of Psychology, Wittenberg University, Springfield, OH, United States; Demirag Burak E.G., Department of Psychology, University of Oklahoma, Norman, OK, United States; Dixson B.J.W., School of Health, University of the Sunshine Coast, Morton Bay, QLD, Australia, The School of Psychology, The University of Queensland Brisbane, Brisbane, QLD, Australia; Du H., Department of Psychology, Faculty of Arts and Sciences, Beijing Normal University at Zhuhai, Zhuhai, China, Beijing Key Laboratory of Applied Experimental Psychology, National Demonstration Center for Experimental Psychology Education, Faculty of Psychology, Beijing Normal University, Beijing, China; Duclos R., Ivey School, Western University, London, ON, Canada; Duyck W., Department of Experimental Psychology, Ghent University, Ghent, Belgium; Efimova L.A., Laboratory for Psychology of Social Inequality, National Research University Higher School of Economics, Moscow, Russian Federation; Egan C., School of Psychology, University of Galway, Galway, Ireland; Era V., Department of Psychology, Sapienza University of Rome, Rome, Italy, Social Neuroscience Laboratory, IRCCS Santa Lucia Foundation, Rome, Italy; Evans T.R., School of Human Sciences, University of Greenwich, London, United Kingdom, Institute for Lifecourse Development, University of Greenwich, London, United Kingdom; Exner A., Faculty of Psychology, Ruhr University Bochum, Bochum, Germany; Feldman G., Department of Psychology, University of Hong Kong, Hong Kong; Fellnhofer K., Department of Management, Technology, and Economics, ETH Zich, Zurich, Switzerland, Research and Innovation Management GmbH, Neumarkt an der Ybbs, Austria; Fini C., Department of Dynamic and Clinical Psychology, and Health Studies, Sapienza University of Rome, Rome, Italy; Fisher S.E., Department of Psychology, Ashland University, Ashland, OH, United States; Flowe H.D., School of Psychology, University of Birmingham, Edgbaston, United Kingdom; Garrido-Vquez P., Department of Psychology, University of Concepci, Concepci, Chile; Gatti D., Department of Brain and Behavioral Sciences, University of Pavia, Pavia, Italy; Geller J., Department of Psychology and Neuroscience, Boston College, Boston, MA, United States; Giannouli V., School of Social Sciences, Hellenic Open University, Patras, Greece; Gorokhova A.S., Laboratory for Psychology of Social Inequality, National Research University Higher School of Economics, Moscow, Russian Federation; Griener L.M., Centre for Comparative Psycholinguistics, University of Alberta, Edmonton, AB, Canada; Grigoryev D., Center for Sociocultural Research, National Research University Higher School of Economics, Moscow, Russian Federation; Grossmann I., Department of Psychology, University of Waterloo, Waterloo, ON, Canada, African Centre for Epistemology and Philosophy of Science, University of Johannesburg, Johannesburg, South Africa; Ghasemi H., Marketing, ESSEC Business School, Cergy, France; Handjaras G., IMT School for Advanced Studies, Lucca, Italy; Hauspie C., Department of Experimental Psychology, Ghent University, Ghent, Belgium; He Z., Education Department, Henan University, Kaifeng, China; Heilman R.M., Department of Psychology, Babe?-Bolyai University, Cluj-Napoca, Romania; Heydari A., Psychology, University of Tehran, Tehran, Iran; Hine A.M., School of Psychology, University of Galway, Galway, Ireland; Hoyer K., Developmental Psychology, University of Amsterdam, Amsterdam, Netherlands; Hryniszak W., Faculty of Philosophy, Applied Memory Research Laboratory, Institute of Psychology, Doctoral School in the Social Sciences, Jagiellonian University, Krakow, Poland; Hsiao J.H.-W., Division of Social Science, Hong Kong University of Science and Technology, Kowloon, China; Huang G., Department of Media and Communication, City University of Hong Kong, Kowloon, China; Ihaya K., Center for Liberal Arts, Fukuoka Institute of Technology, Fukuoka, Japan; Ilczuk E., Faculty of Philosophy, Jagiellonian University, Krakow, Poland; Ishii T., Department of Psychology, Japan Womens University, Tokyo, Japan; Dumbrav? A., George I.M. Georgescu Institute of Cardiovascular Diseases, Ia?i, Romania, Alexandru Ioan Cuza University, Ia?i, Romania; Jankowiak K., Faculty of English, Adam Mickiewicz University, Pozna?, Poland; Jiang X., Institute of Language Sciences, Shanghai International Studies University, Shanghai, China, Key Laboratory of Language Science and Multilingual Artificial Intelligence, Shanghai International Studies University, Shanghai, China; Johnson D.C., Department of Behavioral Sciences, York College, City University of New York, New York, NY, United States, Department of Psychology, City University of New York, New York, NY, United States; Jo?czyk R., Faculty of English, Adam Mickiewicz University, Pozna?, Poland, Cognitive Neuroscience Center, Adam Mickiewicz University, Pozna?, Poland; Jvikivi J., Department of Linguistics, University of Alberta, Edmonton, AB, Canada; Kaczer L., Department of Physiology, Molecular, and Cellular Biology, University of Buenos Aires, Buenos Aires, Argentina; Kamermans K.L., Independent researcher, Amsterdam, Netherlands; Karl J.A., School of Psychology, Dublin City University, Dublin, Ireland, University of Zich, Zurich, Switzerland, School of Psychology Te Herenga Waka, Victoria University of Wellington, Wellington, New Zealand; Karner A., Department of Cognition, Emotion, and Methods in Psychology, University of Vienna, Vienna, Austria; Ka?m P., Department of Psychology, Faculty of Arts, Pavol Jozef afik University, Koice, Slovakia; Keech J.J., School of Applied Psychology, Griffith University, Mt Gravatt, QLD, Australia; Kim M.J., Department of Psychology, Sungkyunkwan University, Seoul, South Korea, Center for Neuroscience Imaging Research, Institute for Basic Science, Suwon, South Korea; Korbmacher M., Department of Health and Functioning, Western Norway University of Applied Sciences, Bergen, Norway, Mohn Medical Imaging and Visualization Centre, Bergen, Norway; Kostorz K., Department of Cognition, Emotion, and Methods in Psychology, Faculty of Psychology, University of Vienna, Vienna, Austria; Kowal M., IDN Being Human, Institute of Psychology, University of Wroc?aw, Wroc?aw, Poland; Kratochvil T., International Research Team on Internet and Society, Faculty of Social Studies, Masaryk University, Brno, Czech Republic; Kunisato Y., Department of Psychology, Senshu University, Kawasaki, Japan; Kuzminska A.O., Faculty of Management, University of Warsaw, Warsaw, Poland; Ktvyessy L., Department of British and American Studies, Pavol Jozef afik University, Koice, Slovakia; Ke F.E., Psychology Department, Ayd?n Adnan Menderes University, Ayd?n, Turkey, Psychology Department, Durham University, Durham, United Kingdom; Kter M., Psychological Assessment, University of Marburg, Marburg, Germany; K?ku? M., Faculty of Psychology, SWPS University, Krakow, Poland; Labusch M., ERI-Lectura and Department of Methodology, University of Valcia, Valencia, Spain, Nebrija Research Center in Cognition (CINC), Nebrija University, Madrid, Spain; Lamm C., Department of Cognition, Emotion, and Methods in Psychology, Faculty of Psychology, University of Vienna, Vienna, Austria; Lau C.M., Centre for Research on Linguistics and Language Studies, Education University of Hong Kong, Tai Po, China; Laurino J., Department of Physiology, Molecular, and Cellular Biology, University of Buenos Aires, Buenos Aires, Argentina; Law W., Department of Psychology, Education University of Hong Kong, Hong Kong, Centre for Psychosocial Health, The Education University of Hong Kong, Hong Kong; Lettieri G., Affective Physiology and Interoception Group, MoMiLab, IMT School for Advanced Studies, Lucca, Italy; Levitan C.A., Cognitive Science, Occidental College, Los Angeles, CA, United States; Lu J.G., MIT Sloan School of Management, Massachusetts Institute of Technology, Cambridge, MA, United States; MacPherson S.E., Human Cognitive Neuroscience, University of Edinburgh, Edinburgh, United Kingdom; Malinakova K., Olomouc University Social Health Institute, PalackUniversity Olomouc, Olomouc, Czech Republic; Manriquez-Robles D., Department of Psychology, Catholic University of Temuco, Temuco, Chile; Marchant N., Center for Social and Cognitive Neuroscience, University of Adolfo Ibez, Valparao, Chile; Marelli M., Department of Psychology, University of Milano-Bicocca, Milan, Italy; Martez M., Department of Psychology, University of Navarra, Pamplona, Spain; Matthews M.F., Psychology, University of Waterloo, Waterloo, ON, Canada; Mattiassi A.D.A., Department of Education, Literatures, Intercultural Studies, Languages and Psychology, University of Florence, Florence, Italy; Mattoli-Schez J., Faculty of Psychology, Center for Studies in Human Neuroscience and Neuropsychology, Diego Portales University, Santiago, Chile; Mazzuca C., Department of Dynamic and Clinical Psychology, and Health Studies, Sapienza University of Rome, Rome, Italy; McGovern D.P., School of Psychology, Dublin City University, Dublin, Ireland; Meier Z., Olomouc University Social Health Institute, PalackUniversity Olomouc, Olomouc, Czech Republic; Melinscak F., Department of Cognition, Emotion, and Methods in Psychology, University of Vienna, Vienna, Austria; Misiak M., IDN Being Human, Institute of Psychology, University of Wroc?aw, Wroc?aw, Poland, School of Anthropology & Museum Ethnography, University of Oxford, Oxford, United Kingdom; Monteiro L.C.P., Institute of Biological Sciences, Federal University of Par Bel, Brazil; Moreau D., School of Psychology, University of Auckland, Auckland, New Zealand, Center for Brain Research, University of Auckland, Auckland, New Zealand; Moreno S., Faculty of Engineering and Science, University of Adolfo Ibez, Vi del Mar, Chile; Mulgrew K.E., School of Health, University of the Sunshine Coast, Petrie, QLD, Australia; Muller D., LIP/PC2S, University of Grenoble Alpes, Grenoble, France, LIP/PC2S, University of Savoy Mont Blanc, Chamby, France; Nagy T., Institute of Psychology, ELTE Ev Lord University, Budapest, Hungary; Naranowicz M., Faculty of English, Adam Mickiewicz University, Poznan, Poland; Ndukaihe I.L.G., Department of Psychology, Alex Ekwueme Federal University, Ndufu-Alike, Nigeria; Neta M., Department of Psychology, Center for Brain, Biology, and Behavior, University of NebraskaLincoln, Lincoln, NE, United States; Novak L., Olomouc University Social Health Institute, PalackUniversity Olomouc, Olomouc, Czech Republic; Ogbonnaya C.E., Psychology Department, Alex Ekwueme Federal University, Ndufu-Alike, Nigeria; Paek J.J.W., Department of Management and Entrepreneurship, Kelley School of Business, Indiana University, Bloomington, IN, United States; Paltoglou A.E., School of Psychology, Manchester Metropolitan University, Manchester, United Kingdom, School of Psychology, Social Work and Public Health (PSP), Oxford Brookes University, Oxford, United Kingdom; Parada F.J., Department of Psychology, Diego Portales University, Santiago, Chile; Parker A.J., Department of Experimental Psychology, Division of Psychology and Language Sciences, University College London, London, United Kingdom; Paruzel-Czachura M., Institute of Psychology, University of Silesia in Katowice, Katowice, Poland, Penn Center for Neuroaesthetics, University of Pennsylvania, Philadelphia, PA, United States; Pavlov Y.G., Institute of Medical Psychology and Behavioral Neurobiology, University of Tuebingen, Tuebingen, Germany; Paydarfard S., Psychology and Educational Science, Shahid Beheshti University, Tehran, Iran; Pegler D., Department of Cognition, Emotion, and Methods in Psychology, Faculty of Psychology, University of Vienna, Vienna, Austria; Peker M., Faculty of Letters, Department of Psychology, Ege University, Izmir, Turkey; Perea M., Nebrija Research Center in Cognition (CINC), Nebrija University, Madrid, Spain, Department of Methodology, University of Valcia, Valencia, Spain; Pfattheicher S., Department of Psychology and Behavioural Sciences, Aarhus University, Aarhus, Denmark; Protzko J., Psychological Science, Central Connecticut State University, New Britain, CT, United States; Prusova I.S., Laboratory for Psychology of Social Inequality, National Research University Higher School of Economics, Moscow, Russian Federation; Pypno-Blajda K., Institute of Psychology, University of Silesia in Katowice, Katowice, Poland; Qiu Z., Department of Linguistics and Modern Languages, The Chinese University of Hong Kong, Hong Kong, Faculty of Humanities and Social Sciences, City University of Macau, Macao; Reips U.-D., Department of Psychology, University of Konstanz, Konstanz, Germany; Ribeiro G., School of Psychology, University of Queensland, Brisbane, QLD, Australia, School of Law and Justice, University of Southern Queensland, Ipswich, QLD, Australia; Rinaldi L., Department of Brain and Behavioural Sciences, University of Pavia, Pavia, Italy, Cognitive Psychology Unit, IRCCS Mondino Foundation, Pavia, Italy; Roberts S.C., IDN Being Human, Institute of Psychology, University of Wroc?aw, Wroc?aw, Poland, Department of Psychology, University of Stirling, Stirling, United Kingdom; Roembke T.C., Chair of Cognitive and Experimental Psychology, Institute of Psychology, RWTH Aachen University, Aachen, Germany; Romanova M.O., Laboratory for Psychology of Social Inequality, National Research University Higher School of Economics, Moscow, Russian Federation; Ross R.M., Department of Philosophy, Macquarie University, Sydney, NSW, Australia; Rr J.P., Department of Psychology and Psychotherapy, Witten/Herdecke University, Witten, Germany; R?zao?lu F., Foreign Language Education Department, Pamukkale University, Denizli, Turkey; Saari T.T., Institute for Molecular Medicine Finland, University of Helsinki, Helsinki, Finland; Sampaolo E., Social and Affective Neuroscience Group, IMT School for Advanced Studies, Lucca, Italy; Santos A.C., CIS-Iscte, University Institute of Lisbon, Lisbon, Portugal; Sar?k F., Department of Psychology, Kadir Has University, ?stanbul, Turkey; Sasaki K., Faculty of Informatics, Kansai University, Takatsuki, Japan; Scharnowski F., Department of Cognition, Emotion, and Methods in Psychology, Faculty of Psychology, University of Vienna, Vienna, Austria; Schmidt K., Department of Psychology, Ashland University, Ashland, OH, United States; Sepehri A., Department of Marketing, ESSEC Business School, Cergy, France; Ser H.O., Psychology Department, Bah?ehir University, ?stanbul, Turkey; Sevincer A.T., Institute of Substainability Psychology, Leuphana University Leburg, Lunenburg, Germany; Siew C.S.Q., Department of Psychology, National University of Singapore, Singapore, Singapore; Simonetti M.E., Institute of Psychology, RWTH Aachen University, Aachen, Germany; Sirota M., Department of Psychology, University of Essex, Colchester, United Kingdom; Sorokowska A., Institute of Psychology, University of Wroc?aw, Wroc?aw, Poland; Sorokowski P., Institute of Psychology, University of Wroc?aw, Wroc?aw, Poland; Stephen I.D., Department of Psychology, Bournemouth University, Bournemouth, United Kingdom; Stevens L.M., School of Psychology, University of Birmingham, Birmingham, United Kingdom; Stewart S.L.K., Division of Psychology, University of Chester, Chester, United Kingdom; Steyrl D., Department of Cognition, Emotion, and Methods in Psychology, Faculty of Psychology, University of Vienna, Vienna, Austria; Stieger S., Department of Psychology and Psychodynamics, Karl Landsteiner University of Health Sciences, Krems an der Donau, Austria; Studzinska A., Humanities Department, Icam School of Engineering, Toulouse, France; Suarez M., Faculty of Psychology, University of Salamanca, Salamanca, Spain; Szala A., Department of Anthropology, Hirszfeld Institute of Immunology and Experimental Therapy, Polish Academy of Sciences, Wroc?aw, Poland, Center for Language Evolution Studies, Nicolaus Copernicus University, Toru?, Poland; Szmalec A., Department of Experimental Psychology, Ghent University, Ghent, Belgium, Psychological Sciences Research Institute, Catholic University of Louvain, Louvain-la-Neuve, Belgium; Sznycer D., Department of Psychology, Oklahoma State University, Stillwater, OK, United States; Szumowska E., Institute of Psychology, Jagiellonian University, Krakow, Poland, Department of Psychology, University of Maryland, MD, College Park, United States; Slemez S., Department of Psychology, Manisa Celal Bayar University, Manisa, Turkey; Slemez B., Philosophy, Pamukkale University, Denizli, Turkey; Takashima K., Graduate School of Human-Environment Studies, Kyushu University, Fukuoka, Japan; Tamnes C.K., Department of Psychology, University of Oslo, Oslo, Norway; Tan J.C.R., Department of Psychology, National University of Singapore, Singapore, Singapore; Tang C., School of Economics and Management, Beijing Jiaotong University, Beijing, China; Tavel P., Olomouc University Social Health Institute, PalackUniversity Olomouc, Olomouc, Czech Republic; Tejada J., Department of Psychology, Federal University of Sergipe, Aracaju, Brazil; Thompson B.C., Department of Psychology, University of AlabamaTuscaloosa, Tuscaloosa, AL, United States; Tiernan J.G., School of Psychology, Dublin City University, Dublin, Ireland; Torres-Muz V., Research Center in Cognitive Sciences, University of Talca, Talca, Chile; Touloumakos A.K., Department of Psychology, Panteion University of Social and Political Sciences, Athens, Greece; Trolie B., CLLE, University of Toulouse, CNRS, Toulouse, France, Psychology, University of Quebec at Trois-Rivies, Trois-Rivies, QC, Canada; Tschense M., Institute for Sustainability Psychology, School of Sustainability, Leuphana University Leburg, Lunenburg, Germany; Tkan B.N., Department of Cognitive Psychology, Trier University, Trier, Germany; Vadillo M.A., Department of Basic Psychology, Autonomous University of Madrid, Madrid, Spain; Vannucci C., Social and Affective Neuroscience Group, IMT School for Advanced Studies, Lucca, Italy; Varnum M.E.W., Department of Psychology, Arizona State University, Tempe, AZ, United States; Vasilev M.R., Department of Experimental Psychology, Division of Psychology and Language Sciences, University College London, London, United Kingdom; Vaughn L.A., Department of Psychology, Ithaca Colleg