Psychological Science Research Articles

Agenda for psychological and behavioural science of transformative behavioural change

Abstract Since the emergence of psychological and behavioural science, one of its foundational goals has been to explain human behaviour. Although the discipline has been highly successful in this endeavour, there is an elephant in the room. Psychological and behavioural science has neglected studying the most challenging aspect of human behaviour−transformative behavioural change. This change can be described as a fundamental and difficult-to-achieve shift in someone’s actions that involves a transformation of one’s way of living. Understanding transformative behavioural change is essential not only for psychological and behavioural science to accomplish its foundational goal but also to maintain its contemporary relevance. Indeed, it is imminent that both solving the world’s biggest issues (e.g., climate change) and living through major disruptions (e.g., technological revolution) will require people to transform their behaviour. In this perspective, I first review and discuss previous relevant research, and then propose a seven-step agenda for how psychological and behavioural science can become the science of transformative behavioural change.

Psychological Women's Liberation: Feminist Therapy Between Psychology and the Women's Movement in the Federal Republic of Germany in the 1970s

From the late 1960s onwards, the early second women's movement encompassed all areas of West German society. This included debates about how women's healthcare could be improved in aself-determined, women-friendly way and in line with feminist ideals. These debates were also held with regard to the general boom in psychotherapy at the time. This article explores the question of how debates around feminist therapy emerged in the Federal Republic of Germany. It also looks at the tense relationship between psychology and psychotherapy. While feminist women's counselling and therapy centers became awidespread part of apsychosocial care network from the late 1970s onwards, scientific psychology in German speaking countries remained largely closed to feminist influences. The article traces how this imbalance between feminist therapeutic practice and psychological women's research came about. Therefore, the article sets out from 1974, when psychologists tried to introduce feminist impulses into academic psychology and feminist activists made psychotherapeutic approaches usable for the women's movement. Many female psychologists shifted their commitment from the academic to the therapeutic field. It is argued, that this was due to the less than conducive conditions that feminist-oriented psychologists found in German-speaking academic psychology.

Cracking the code of teacher burnout: the chain mediation of GPT integration degree through behavioral engagement and classroom atmosphere in a cross-level chain mediation model

Chat GPT technology plays a pivotal role in global educational innovation and the enhancement of the quality of teaching and learning. In the field of education research, numerous studies have been conducted to investigate the effectiveness of GPT technology, teacher acceptance, and student engagement in depth. To date, few studies have considered the compounding effects of these factors on teacher burnout from the perspectives of psychology and behavioral sciences in conjunction with the dichotomous and complex relationship between teachers and students. Consequently, based on the findings of previous scholars, this study constructed a cross-layer chain mediation model based on the SOR and EASI models. This model was used to explore how different motivators affect the alleviation of teacher burnout through psychological and behavioral mechanisms. The study involved 47 teachers and 506 students from 10 universities. The findings of the study indicated that (1) the direct effect of GPT integration degree on teacher burnout was not statistically significant, and (2) the classroom atmosphere played a pivotal mediating role in the relationship between GPT integration degree and teacher burnout. (3) The degree of GPT integration degree exerts an indirect and orderly negative influence on teacher burnout through behavioral engagement and classroom atmosphere. The objective of this study is to further enhance our comprehension of the utilization of GPT technology in education and to provide strategic recommendations for its advancement in educational practice.

A technocognitive approach to detecting fallacies in climate misinformation.

Misinformation about climate change is a complex societal issue that requires holistic, interdisciplinary solutions at the intersection between technology and psychology. One proposed solution is a "technocognitive" approach, involving the synthesis of psychological and computer science research. Psychological research has identified that interventions that counter misinformation require both fact-based (e.g., factual explanations) and technique-based (e.g., explanations of misleading techniques and logical fallacies) content. However, little progress has been made on documenting and detecting fallacies in climate misinformation. In this study, we apply a previously developed critical thinking methodology for deconstructing climate misinformation in order to develop a dataset mapping examples of climate misinformation to reasoning fallacies. This dataset is used to train a model to detect fallacies in climate misinformation. We evaluate the model's performance using the score, which measures how well the model detects relevant cases while avoiding irrelevant ones. Our study shows scores that are 2.5-3.5 times better than previous works. The fallacies that are easiest to detect include fake experts and anecdotal arguments, while fallacies that require background knowledge, such as oversimplification, misrepresentation, and slothful induction, are relatively more difficult to detect. This research lays the groundwork for development of solutions where automatically detected climate misinformation can be countered with generative technique-based corrections.

Detecting Fake News Using Data Analytics: A Systematic Literature Review And Machine Learning Approach

This study systematically reviews advancements in fake news detection techniques, examining methodologies and frameworks across machine learning, natural language processing, social network analysis, and multimodal approaches. By following the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines, a rigorous and transparent review process was conducted, resulting in the selection and evaluation of 254 research articles. The findings reveal that supervised learning models, such as Support Vector Machines, Decision Trees, and Naïve Bayes, have shown strong performance in text-based fake news classification, particularly when feature selection is optimized. Deep learning models, including CNNs, RNNs, and transformers, have further advanced detection accuracy by capturing complex linguistic patterns, though challenges with computational demands and model interpretability remain. In scenarios with limited labeled data, unsupervised learning models and semi-supervised approaches offer adaptability, with clustering, anomaly detection, and iterative self-labeling proving effective for evolving misinformation. Additionally, cross-disciplinary approaches, integrating insights from psychology, sociology, and network science, enhance detection models by accounting for user behavior, emotional appeal, and social conformity in the spread of fake news. Case studies from collaborative projects underscore the potential of interdisciplinary efforts to develop robust, adaptable detection frameworks. This review concludes that effective fake news detection requires a multifaceted approach, combining technical advancements with social science insights to address the complexity and adaptive nature of misinformation. The study emphasizes the need for continued research in hybrid models and adaptive, real-time detection solutions to strengthen defenses against fake news in diverse digital environments.

The Role of Cognitive Bias in Principal Decision Making: A Narrative Analysis of the Literature

This study aims to critically examine the role of cognitive biases in principal decision-making processes by synthesizing and analysing existing literature. It seeks to identify key cognitive biases affecting principal decisions, their impact on organizational outcomes, and potential mitigation strategies. A comprehensive narrative analysis of the literature was conducted. Relevant peer-reviewed articles, books, and book chapters published between 1970 and 2023 were systematically identified and reviewed using major academic databases such as Web of Science, JSTOR, and Google Scholar. The analysis revealed that cognitive biases, particularly confirmation bias, overconfidence, anchoring, and availability bias, significantly influence principal decision-making. These biases can lead to suboptimal decisions, affecting strategic planning, risk assessment, and overall organizational performance. The study also identified several debiasing techniques, including awareness training and structured decision-making frameworks, which show promise in mitigating the impact of cognitive biases. This study provides a comprehensive and up-to-date synthesis of research on cognitive biases in principal decision-making, offering a holistic view of the field’s current state. It uniquely combines insights from cognitive psychology, behavioural economics, and management science to provide a multidisciplinary perspective on the topic. The study contributes to both theory and practice by offering a structured understanding of how cognitive biases influence principal decision-making. It provides valuable insights for principals and organizations to improve their decision-making processes and highlights areas for future research in this critical field. The findings can inform the development of more effective principal training programs and decision support systems.

Evaluating Treatment Characteristics and Outcomes for Juvenile Sexual Offenders: A Review

Improving treatment effectiveness for adolescent sexual offenders is believed to be able to reduce the number of recidivism. This review aims to evaluate treatment characteristics and outcomes for the juvenile sexual offender. Existing treatments focus on sexual behavior management, primarily with cognitive behavioral theory and social learning theory. This study used EBSCO databases related to psychology science, such as Academic Search Complete, APA PsycArticles, MEDLINE, and APA PsycINFO. The search was for peer-reviewed empirical studies published between January 2010 and February 2020 with the inclusion criteria that focus on the treatment outcomes evaluations. Eleven studies categorized as mixed therapy programs, family-based treatments, and other specific treatments were reviewed and revealed limitations in methodology, which contributes to the obstruction of treatment evaluation. The key finding of this study suggests the developmental aspect of juvenile sexual offenders when designing interventions and effectivity measurements. Previous treatments for juvenile sexual offenders have developed with several approaches, such as cognitive behavioral perspectives and social learning theory. Keywords: juvenile sexual offender ( JSO), treatment, treatment evaluation

Preface: 2nd International Conference on Researches in Educational Technology and Psychological Sciences (RETPS 2024)

This is the proceedings for 2024 2nd International Conference on Researches in Educational Technology and Psychological Sciences (RETPS 2024). This conference was held on October 12-13, 2024 in Houston, USA, and it was a very successful joint conference by four countries namely China, United States, Canada, and New Zealand. Papers from educational technology, public management, psychology, humanities, and social science were well represented in this volume and we hope that these contributions will continue to play a large part in future RETPS conferences. RETPS 2024 also fosters cooperation among organizations and researchers involved in the merging fields and provides in-depth technical presentations with ample opportunities for one-on-one discussions with the presenters. We wish to thank each and every member of the proceeding editors and local technical committee. Many people contributed to the success of the conference, and the organisers specially would like to thank the reviewer team. The local organisers and conference office did a splendid job, and we all enjoyed an excellent conference atmosphere. They were very patient and committed in making this conference a success. Organizing Committee of RETPS Houston, USA

There is nothing WEIRD about basic research: The critical role of convenience samples in psychological science.

Attention to issues of sample diversity and generalizability has increased dramatically in the past 15 years, as psychological scientists have confronted the limitations of relatively homogeneous samples. Though this reckoning was perhaps overdue and has undoubtedly shined a light on some poor research practices, recommendations surrounding sample diversity are sometimes applied to research that does not aim for generalizability across peoples. In this article, I seek to promote discussion about when and why sample diversity and generalizability matter. In doing so, I address problems with language surrounding generalizability, the broader question of generalizability beyond samples, challenges for determining sufficient generalizability, and the inherent question of moderation in psychological science, given the reality of limited time and resources. I then discuss the important roles that basic research plays in understanding group differences, producing generalizable knowledge, and developing applied interventions. Finally, I address issues of equity surrounding sample diversity, emphasizing the distinction between WEIRD samples and convenience samples and the importance of convenience samples for globalizing psychological science. (PsycInfo Database Record (c) 2024 APA, all rights reserved).

PERANCANGAN WEBSITE SISTEM PAKAR WEBSITE DESIGN EXPERT SYSTEM DETERMINING TYPE OF INTELLIGENCE USING FORWARD CHAINING AND CERTAINTY FACTOR METHODSPENENTU JENIS KECERDASAN MENGGUNAKAN METODE FORWARD CHAINING DAN CERTAINTY FACTOR

An individual has potential and interests within themselves. However, often these individuals do not realize their potential and interest in a particular field. This can be overcome by knowing the type of intelligence that exists within the individual. Apart from the aim of knowing the type of intelligence, another benefit of knowing the type of intelligence is to plan a career that suits each individual's personality. An expert system is a solution to this problem. The expert system designed refers to the theory of multiple types of intelligence or Multiple Intelligence put forward by Howard Gardner. There are 2 methods that will be used, namely Forward Chaining and Certainty Factor. The Forward Chaining method is used to produce a conclusion from the user's answer. Meanwhile, the Certainty Factor method is used to provide a confidence value or certainty value for the conclusions that have been produced. In designing the expert system website, the author collaborated with a psychologist who is an expert in making measuring instruments or ensuring that the indicators used are in accordance with psychological science

Strategies to Improve Environmental Comfort of Institutionalized Older Adults: A Scoping Review

The demographic trends of an aging global population present significant challenges and opportunities for healthcare, particularly in providing optimal care environments for older adults living in long-term care facilities, with it being imperative to ensure these environments provide basic care and promote overall well-being through enhanced environmental comfort. This scoping review intends to show evidence-based practices enhancing the environmental comfort of institutionalized older people. Following the Joanna Briggs Institute’s methodology, this scoping review’s inclusion criteria included studies in English, Portuguese, or Spanish between 2013 and 2023, focused on institutionalized people over the age of 65 years residing in long-term care settings where nurses implemented strategies or interventions designed to enhance environmental comfort in which older residents themselves directly evaluated, indexed in Medline, Cumulative Index to Nursing and Allied Health Literature (CINAHL), Scopus, Psychology and Behavioral Sciences Collection, DART-Europe, or Repositório Científico de Acesso Aberto de Portugal (RCAAP). Out of 497 initially retrieved studies, none of them met the established criteria, leading this study to be an empty review. The absence of studies meeting the inclusion criteria indicates a significant gap in the existing literature, highlighting the need for specialized training programs that equip nurses with the skills and knowledge to implement effective comfort-enhancing interventions, ensuring that the unique and challenging needs of older people are covered.

Not Like Everybody Else but We're the Same: Psychosocial Variables Compared Across Diverse Sexual and Gender Identities.

Sexual and gender minority (SGM) people are underrepresented in psychological research. Part of the underrepresentation of SGM people likely stems from potential participants' unwillingness to join a study, but more concerningly, researchers exclude data from SGM participants. Furthermore, much of SGM research focuses on existing health disparities and risk factors rather than wellness-framed and personality research. To fill in this gap, the current study aims to quantify effect sizes of similarities/differences across a broad range of psychosocial measures. Applying the framework of the Gender Similarities Hypothesis, we compare means, variances, and correlations across 34 psychosocial variables between categories of SGM, gender identity, sexual orientation, relationship status, and monogamy (N = 1743). Data was collected online mainly through paid ads on Instagram. Consistently, we find largely similarities across gender identity, sexual orientation, and relationship structure categories. These results support a general expectation that similarities are more common than differences in normative psychological domains, although clear differences in means and variances exist for specific experiences and outcomes. This work informs the inclusion of diverse identities in basic psychological research and further speaks to the generalizability of past findings to populations historically underrepresented in psychological science.

Commentary: Revisiting developmental science research practices during a global crisis.

The effects of the COVID-19 pandemic on adolescents were extensive, touching aspects of their lives such as those reviewed in this Special Section : school experiences, family relationships, peer relationships, and civic engagement. In parallel with these effects on individuals, the fields of developmental and psychological science were shaken up by this global crisis. The accelerated transition to online data collection and collaboration presented opportunities to expand research on adolescence, breaking down many physical and social barriers to participation and sparking methodological innovation. Yet, this crisis also shed light on the global digital divides and the uneven impacts of the pandemic across the research community. This commentary reflects on the influence of the COVID-19 pandemic on the methods and methodologies of developmental science, the challenges and opportunities it surfaced, and the populations included and omitted in this period of research. We integrate reflections on how the pandemic shaped our own research and on how the pandemic has shaped the future of developmental science.

An interview with Professor Benjamin Becker: understanding our brain and mental disorders requires collaboration across all disciplines

Abstract From July 20th to 22nd, 2024, the ISMRM Endorsed Workshop on MR for Psychiatry was held in Chengdu City, China. This prestigious event attracted numerous academic elites worldwide, and Professor Benjamin Becker from the University of Hong Kong was invited. On the morning of July 20, during the “Advances in MR Technology” session, Professor Becker delivered an engaging lecture entitled “Novel approaches to precision MRI-imaging of human emotion”. His presentation was met with great enthusiasm and sparked lively discussions among the participants. Following the conference, the Psychoradiology journal interviewed Professor Benjamin Becker. In the interview, Benjamin emphasized the significant role of interdisciplinary collaboration, spanning various fields including psychology, neuroscience, clinical medicine, biomedical engineering, and computer science. Professor Becker firmly believed that such collaboration was crucial for a deeper understanding of the brain and psychiatric disorders. Additionally, he highly valued the importance of international cooperation, especially in addressing global mental health issues and challenges related to psychiatric disorders.

Herman G. Canady: A reintroduction.

For nearly four decades, Herman G. Canady actively promoted psychological science in the public interest. A skillful leader and administrator, Canady helped to establish one of the first national organizations of Black psychologists and was purportedly one of the founding members of the West Virginia State Psychological Association. He also collaborated with a diverse range of professional colleagues on relevant social issues of the time. Despite the depth and breadth of Canady's contributions to psychology, very little is known about his impact on the field. The goal of this article is to reintroduce the discipline to Canady. Drawing upon a range of archival materials, personal correspondence, and interviews, I highlight how Canady used the platform of psychological science in ways that not only redefined "racial psychology," but also brought attention to educational inequities, stressed the importance of institution-building, and demonstrated the utility of cross-cultural alliances for addressing important social causes. Canady's influence-and that of others of his generation-merits further study and deeper analysis. (PsycInfo Database Record (c) 2024 APA, all rights reserved).

Leading with Empathy: How Understanding Others Creates Connection and Drives Success

This article examines the role of empathy in effective leadership. Through a review of scholarly literature from fields such as psychology, management, and health sciences, the article defines empathy and distinguishes it from related concepts like sympathy. It explores how empathy involves understanding others' perspectives and experiences on an emotional level. The article then discusses four key strategies leaders can use to develop stronger empathy skills, such as active listening, perspective taking, emotional self-regulation, and storytelling. Drawing on empirical research, the potential organizational benefits of leader empathy are outlined, including increased employee trust, engagement, and well-being. Specific examples demonstrate how empathy has strengthened culture and driven performance outcomes in companies and other institutions. Finally, the article advocates for leaders to incorporate empathy more fully into their approaches to better connect with people and foster environments where individuals and teams can thrive.

Three principles for the utility of simple tasks that assess elemental processes in parsing heterogeneity.

As clinical psychological science and biological psychiatry push to assess, model, and integrate heterogeneity and individual differences, approaches leveraging computational modeling, translational methods, and dimensional approaches to psychopathology are increasingly useful in establishing brain-behavior relationships. The field is ultimately interested in complex human behavior, and disruptions in such behaviors can arise through many different pathways, leading to heterogeneity in etiology for seemingly similar presentations. Parsing this complexity may be enhanced using "simple" tasks-which we define as those assaying elemental processes that are the building blocks to complexity. Using eyeblink conditioning as one illustrative example, we propose that simple tasks assessing elemental processes can be leveraged by and enhance computational psychiatry and dimensional approaches in service of understanding heterogeneity in psychiatry, especially when these tasks meet three principles: (a) an extensively mapped circuit, (b) clear brain-behavior relationships, and (c) relevance to understanding etiological processes and/or treatment. (PsycInfo Database Record (c) 2024 APA, all rights reserved).

How can we build structural resilience? Integration of social-ecological and minority stress models.

As the United States contends with racism and a social justice reckoning, the need to advance our understanding of how to build structural resilience continues to be pressing. This article proposes a culturally and structurally informed model of resilience for individuals with minoritized identities that integrates social-ecological and minority stress models. First, common stressors and traumas experienced by minoritized individuals at multiple levels of proximal/distal influence are reviewed: microsystem (e.g., family rejection), mesosystem (e.g., community-based discrimination), exosystem (e.g., barriers to health care), macrosystem (e.g., harmful legal policies), and chronosystem (e.g., historical legacy). Next, how these exposures have cascading effects on minority stress processes (e.g., discriminatory policies in the macrosystem affect how a child is socialized in the microsystem) are considered. Then, modifiable factors (e.g., community cohesion) that promote resiliency in the face of ongoing exposures are discussed. To conclude, guidelines are offered for advancing the psychological science of resilience in minoritized groups including mixed methods to reflect participants' experiences, ecological approaches to assess resilience, and multilevel modeling to understand the interplay between the social-ecological context and individual factors. (PsycInfo Database Record (c) 2024 APA, all rights reserved).

A worldwide test of the predictive validity of ideal partner preference matching.

Ideal partner preferences (i.e., ratings of the desirability of attributes like attractiveness or intelligence) are the source of numerous foundational findings in the interdisciplinary literature on human mating. Recently, research on the predictive validity of ideal partner preference matching (i.e., Do people positively evaluate partners who match vs. mismatch their ideals?) has become mired in several problems. First, articles exhibit discrepant analytic and reporting practices. Second, different findings emerge across laboratories worldwide, perhaps because they sample different relationship contexts and/or populations. This registered report-partnered with the Psychological Science Accelerator-uses a highly powered design (N = 10,358) across 43 countries and 22 languages to estimate preference-matching effect sizes. The most rigorous tests revealed significant preference-matching effects in the whole sample and for partnered and single participants separately. The "corrected pattern metric" that collapses across 35 traits revealed a zero-order effect of β = .19 and an effect of β = .11 when included alongside a normative preference-matching metric. Specific traits in the "level metric" (interaction) tests revealed very small (average β = .04) effects. Effect sizes were similar for partnered participants who reported ideals before entering a relationship, and there was no consistent evidence that individual differences moderated any effects. Comparisons between stated and revealed preferences shed light on gender differences and similarities: For attractiveness, men's and (especially) women's stated preferences underestimated revealed preferences (i.e., they thought attractiveness was less important than it actually was). For earning potential, men's stated preferences underestimated-and women's stated preferences overestimated-revealed preferences. Implications for the literature on human mating are discussed. (PsycInfo Database Record (c) 2024 APA, all rights reserved).

All-Turkish Lexical Layer in Turkic Languages and Uzbek Language Dialects

Abstract It is known that the study of dialects is one of the urgent issues of today's linguistics. World linguistics has made significant progress in the field of dialectology in the study of dialects, in creating a perfect areal description of dialectal phenomena. From the conducted research, a scientific conclusion can be drawn that it is possible to talk about the forms of language tools, i.e. the methods of expression, in the expression of all philosophical categories in the ancient monuments and in our current language. Like all philosophical concepts, the meaning of space and time is a linguistic image of the subjective perception of the objective world. That is why the linguistic research conducted in that direction requires communication with the sciences of philosophy, logic and psychology, leaving the framework of linguistics. Time-space-calendar words form a separate system in ancient Turkish written texts, and their comparative study with our current language is studied as an urgent issue of linguistics. Also "anda//anta" (at that time), "yil (year), kish (winter), kiçë//keçe (night), kuntuz (day), tun ortusi (midnight) ” words find their reflection in ancient monuments and lay the foundation for the emergence of representatives of the Turkic language, in particular, the Uzbek and Azerbaijani languages. In the system of means of expressing spatial concepts in the language, the phonetic space is considered the beginning, the beginning. That is, the phonetic space can be called the basis of space expression through language. At the same time, the grouping of words, morphological forms, syntactic units according to the time and space content, analysis of the specific aspects of those language units, many manifestations of concepts denoting the time and space content in the Azerbaijani language. The explanation of the forms of the edges was carried out based on the requirements of theoretical linguistics.