American PsychologistPub Date : 2024-09-01Epub Date: 2024-06-03DOI: 10.1037/amp0001334
Kenneth A Dodge, Mitchell J Prinstein, Arthur C Evans, Isaac L Ahuvia, Kiara Alvarez, Rinad S Beidas, Ashanti J Brown, Pim Cuijpers, Ellen-Ge Denton, Kimberly Eaton Hoagwood, Christina Johnson, Alan E Kazdin, Riley McDanal, Isha W Metzger, Sonia N Rowley, Jessica Schleider, Daniel S Shaw
{"title":"Population mental health science: Guiding principles and initial agenda.","authors":"Kenneth A Dodge, Mitchell J Prinstein, Arthur C Evans, Isaac L Ahuvia, Kiara Alvarez, Rinad S Beidas, Ashanti J Brown, Pim Cuijpers, Ellen-Ge Denton, Kimberly Eaton Hoagwood, Christina Johnson, Alan E Kazdin, Riley McDanal, Isha W Metzger, Sonia N Rowley, Jessica Schleider, Daniel S Shaw","doi":"10.1037/amp0001334","DOIUrl":"10.1037/amp0001334","url":null,"abstract":"<p><p>A recent American Psychological Association Summit provided an urgent call to transform psychological science and practice away from a solely individual-level focus to become accountable for population-level impact on health and mental health. A population focus ensures the mental health of all children, adolescents, and adults and the elimination of inequities across groups. Science must guide three components of this transformation. First, effective individual-level interventions must be scaled up to the population level using principles from implementation science, investing in novel intervention delivery systems (e.g., online, mobile application, text, interactive voice response, and machine learning-based), harnessing the strength of diverse providers, and forging culturally informed adaptations. Second, policy-driven community-level interventions must be innovated and tested, such as public efforts to promote physical activity, public policies to support families in early life, and regulation of corporal punishment in schools. Third, transformation is needed to create a new system of universal primary care for mental health, based on models such as Family Connects, Triple P, PROmoting School-community-university Partnerships to Enhance Resilience, Communities That Care, and the Early Childhood Collaborative of the Pittsburgh Study. This new system must incorporate valid measurement, universal screening, and a community-based infrastructure for service delivery. Addressing tasks ahead, including scientific creativity and discovery, rigorous evaluation, and community accountability, will lead to a comprehensive strategic plan to shape the emergent field of public mental health. (PsycInfo Database Record (c) 2024 APA, all rights reserved).</p>","PeriodicalId":48468,"journal":{"name":"American Psychologist","volume":" ","pages":"805-823"},"PeriodicalIF":12.3,"publicationDate":"2024-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141201153","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"心理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
American PsychologistPub Date : 2024-09-01Epub Date: 2024-07-18DOI: 10.1037/amp0001375
Jana N Martin, Melba J T Vasquez
{"title":"Josephine D. Johnson (1951-2023).","authors":"Jana N Martin, Melba J T Vasquez","doi":"10.1037/amp0001375","DOIUrl":"10.1037/amp0001375","url":null,"abstract":"<p><p>This article memorializes Josephine D. Johnson (1951-2023), clinical psychologist. Johnson contributed significantly to the evolution of multicultural psychology. She served as Chair of the American Psychological Association (APA) Task Force on the Implementation of the Multicultural Guidelines. Highlights of Johnson's career and her professional contributions are noted. (PsycInfo Database Record (c) 2024 APA, all rights reserved).</p>","PeriodicalId":48468,"journal":{"name":"American Psychologist","volume":" ","pages":"879"},"PeriodicalIF":12.3,"publicationDate":"2024-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141635038","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"心理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Alejandro Hermida Carrillo, Clemens Stachl, Sanaz Talaifar
{"title":"A workflow for human-centered machine-assisted hypothesis generation: Commentary on Banker et al. (2024).","authors":"Alejandro Hermida Carrillo, Clemens Stachl, Sanaz Talaifar","doi":"10.1037/amp0001256","DOIUrl":"https://doi.org/10.1037/amp0001256","url":null,"abstract":"<p><p>Large language models (LLMs) have the potential to revolutionize a key aspect of the scientific process-hypothesis generation. Banker et al. (2024) investigate how GPT-3 and GPT-4 can be used to generate novel hypotheses useful for social psychologists. Although timely, we argue that their approach overlooks the limitations of both humans and LLMs and does not incorporate crucial information on the inquiring researcher's inner world (e.g., values, goals) and outer world (e.g., existing literature) into the hypothesis generation process. Instead, we propose a human-centered workflow (Hope et al., 2023) that recognizes the limitations and capabilities of both the researchers and LLMs. Our workflow features a process of iterative engagement between researchers and GPT-4 that augments-rather than displaces-each researcher's unique role in the hypothesis generation process. (PsycInfo Database Record (c) 2024 APA, all rights reserved).</p>","PeriodicalId":48468,"journal":{"name":"American Psychologist","volume":"79 6","pages":"800-802"},"PeriodicalIF":12.3,"publicationDate":"2024-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142298909","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"心理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Machines, psychology, and hypothesis generation: Commentary on Banker et al. (2024).","authors":"Jonah Berger","doi":"10.1037/amp0001258","DOIUrl":"https://doi.org/10.1037/amp0001258","url":null,"abstract":"<p><p>Advances in machine learning and artificial intelligence are revolutionizing many aspects of human life, and as Banker et al. (2024) illustrate, generative artificial intelligence may also facilitate hypothesis generation in academic research. But while it is easy to imagine this idea generating some alarm (i.e., hypothesis generation may seem like the most creative, human part of research), their work actually raises an even more important question: Why should we believe that the current (human) method of hypothesis generation is somehow ideal in the first place? This article discusses the implications of their work and outlines how automated content analysis and machine learning can also help researchers determine what hypotheses deserve attention in the first place. (PsycInfo Database Record (c) 2024 APA, all rights reserved).</p>","PeriodicalId":48468,"journal":{"name":"American Psychologist","volume":"79 6","pages":"798-799"},"PeriodicalIF":12.3,"publicationDate":"2024-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142298911","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"心理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Machine-assisted social psychology hypothesis generation.","authors":"Sachin Banker, Promothesh Chatterjee, Himanshu Mishra, Arul Mishra","doi":"10.1037/amp0001222","DOIUrl":"https://doi.org/10.1037/amp0001222","url":null,"abstract":"<p><p>Social psychology research projects begin with generating a testable idea that relies heavily on a researcher's ability to assimilate, recall, and accurately process available research findings. However, an exponential increase in new research findings is making the task of synthesizing ideas across the multitude of topics challenging, which could result in important overlooked research connections. In this research, we leverage the fact that social psychology research is based on verbal models and employ large natural language models to generate hypotheses that can aid social psychology researchers in developing new research hypotheses. We adopted two methodological approaches. In the first approach, we fine-tuned the third-generation generative pre-trained transformer (GPT-3) language model on thousands of abstracts published in more than 50 social psychology journals in the past 55 years as well as on preprint repositories (PsyArXiv). Social psychology experts rated model- and human-generated hypotheses similarly on the dimensions of clarity, originality, and impact. In the second approach, without fine-tuning, we generated hypotheses using GPT-4 and found that social psychology experts rated these generated hypotheses as higher in quality than human-generated hypotheses on dimensions of clarity, originality, impact, plausibility, and relevance. (PsycInfo Database Record (c) 2024 APA, all rights reserved).</p>","PeriodicalId":48468,"journal":{"name":"American Psychologist","volume":"79 6","pages":"789-797"},"PeriodicalIF":12.3,"publicationDate":"2024-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142298910","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"心理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
American PsychologistPub Date : 2024-09-01Epub Date: 2023-11-16DOI: 10.1037/amp0001232
Christian Rominger, Andreas Fink, Bernhard Weber, Mathias Benedek, Corinna M Perchtold-Stefan, Andreas R Schwerdtfeger
{"title":"Step-by-step to more creativity: The number of steps in everyday life is related to creative ideation performance.","authors":"Christian Rominger, Andreas Fink, Bernhard Weber, Mathias Benedek, Corinna M Perchtold-Stefan, Andreas R Schwerdtfeger","doi":"10.1037/amp0001232","DOIUrl":"10.1037/amp0001232","url":null,"abstract":"<p><p>Research indicated an association of acute and chronic physical activity with creative ideation performance. However, no study to date applied ecologically valid ambulatory methods with the potential to generalize these positive relationships to everyday life contexts. This study assessed acute and chronic physical activity (i.e., number of steps assessed via acceleration sensors) as well as creative ideation performance (in the verbal and figural domain) with an ecological momentary assessment approach in a sample of 157 young adults. We found that both single bouts of walking and walking regularly were associated with more original verbal ideas. Positive affect did not mediate this association; however, for figural creativity, the indirect path of acute physical activity via acute positive affect was significant. Although the relationship between walking and creativity seems to be domain-specific, the study findings suggest that the positive effects of physical activity on creativity transfer to everyday life contexts. (PsycInfo Database Record (c) 2024 APA, all rights reserved).</p>","PeriodicalId":48468,"journal":{"name":"American Psychologist","volume":" ","pages":"863-875"},"PeriodicalIF":12.3,"publicationDate":"2024-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"136399849","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"心理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"The future of large language models in social science research: Reply to Berger (2024) and Carrillo et al. (2024).","authors":"Sachin Banker, Promothesh Chatterjee, Himanshu Mishra, Arul Mishra","doi":"10.1037/amp0001287","DOIUrl":"https://doi.org/10.1037/amp0001287","url":null,"abstract":"<p><p>In their commentaries, Berger (2024) and Carrillo et al. (2024) raise several thoughtful questions regarding machine-assisted hypothesis generation in the social sciences. We discuss their ideas and build upon them. (PsycInfo Database Record (c) 2024 APA, all rights reserved).</p>","PeriodicalId":48468,"journal":{"name":"American Psychologist","volume":"79 6","pages":"803-804"},"PeriodicalIF":12.3,"publicationDate":"2024-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142298912","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"心理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
American PsychologistPub Date : 2024-09-01Epub Date: 2023-11-20DOI: 10.1037/amp0001253
Timothy P Melchert, Raquel W Halfond, Nayla R Hamdi, Lynn F Bufka, Steven D Hollon, Michael J Cuttler
{"title":"Evidence-based practice in psychology: Context, guidelines, and action.","authors":"Timothy P Melchert, Raquel W Halfond, Nayla R Hamdi, Lynn F Bufka, Steven D Hollon, Michael J Cuttler","doi":"10.1037/amp0001253","DOIUrl":"10.1037/amp0001253","url":null,"abstract":"<p><p>A science-based approach to understanding health and disease emerged gradually over the past two centuries, while the modern evidence-based approach to health care emerged only about a half-century ago. The evidence-based approach to practice in health service psychology (HSP) gained significant traction after the American Psychological Association (APA) adopted it as policy in 2005, and in 2021, APA approved the first comprehensive set of guidelines for practicing HSP in an evidence-based manner. Several authors of this 2021 set of guidelines along with an additional subject matter expert wrote the current article. This article outlines the development of evidence-based practice in psychology, discusses the strengths and weaknesses of each of the three components of evidence-based practice (i.e., best available research, clinical expertise, and patient characteristics, culture, and preferences), and highlights the complexity involved in integrating related considerations during clinical decision making. The article then discusses strategies for the systematic application of this approach in HSP to improve the effectiveness of behavioral health care and strengthen population health. (PsycInfo Database Record (c) 2024 APA, all rights reserved).</p>","PeriodicalId":48468,"journal":{"name":"American Psychologist","volume":" ","pages":"824-837"},"PeriodicalIF":12.3,"publicationDate":"2024-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"138048216","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"心理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
American PsychologistPub Date : 2024-09-01Epub Date: 2023-11-20DOI: 10.1037/amp0001223
Todd B Kashdan, Fallon R Goodman, Patrick E McKnight, Bradley Brown, Ruba Rum
{"title":"Purpose in life: A resolution on the definition, conceptual model, and optimal measurement.","authors":"Todd B Kashdan, Fallon R Goodman, Patrick E McKnight, Bradley Brown, Ruba Rum","doi":"10.1037/amp0001223","DOIUrl":"10.1037/amp0001223","url":null,"abstract":"<p><p>Theoretically, purpose serves as a basic dimension of healthy psychological functioning and an important protective factor from psychopathology. Theory alone, however, is insufficient to answer critical questions about human behavior and functioning; we require empirical evidence that explores the parameters of purpose with respect to measurement, prediction, and modification. Here, we provide empirically supported insights about how purpose can operate as a beneficial outcome (e.g., marker of well-being), a predictor or mechanism that accounts for benefits that a person derives (such as from an intervention), or a moderator that offers insight into when benefits arise. Advancing the study of purpose requires careful consideration of how purpose is conceptualized, manipulated, and measured across the lifespan. Our aim is to help scientists understand, specify, and conduct high-quality studies of purpose in life. (PsycInfo Database Record (c) 2024 APA, all rights reserved).</p>","PeriodicalId":48468,"journal":{"name":"American Psychologist","volume":" ","pages":"838-853"},"PeriodicalIF":12.3,"publicationDate":"2024-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"138048217","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"心理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Stephen J Ceci, Cory J Clark, Lee Jussim, Wendy M Williams
{"title":"Adversarial collaboration: An undervalued approach in behavioral science.","authors":"Stephen J Ceci, Cory J Clark, Lee Jussim, Wendy M Williams","doi":"10.1037/amp0001391","DOIUrl":"https://doi.org/10.1037/amp0001391","url":null,"abstract":"<p><p>Open Science initiatives such as preregistration, publicly available procedures and data, and power analyses have rightly been lauded for increasing the <i>reliability</i> of findings. However, a potentially equally important initiative-aimed at increasing the <i>validity</i> of science-has largely been ignored. Adversarial collaborations (ACs) refer to team science in which members are chosen to represent diverse (and even contradictory) perspectives and hypotheses, with or without a neutral team member to referee disputes. Here, we provide background about ACs and argue that they are effective, essential, and underutilized. We explain how and why ACs can enhance both the reliability and validity of science and why their benefit extends beyond the realm of team science to include venues such as fact-checking, wisdom of crowds, journal reviewing, and sequential editing. Improving scientific validity would increase the efficacy of policy and interventions stemming from behavioral science research, and over time, it could help salvage the reputation of our discipline because its products would be perceived as resulting from a serious, open-minded consideration of diverse views. (PsycInfo Database Record (c) 2024 APA, all rights reserved).</p>","PeriodicalId":48468,"journal":{"name":"American Psychologist","volume":" ","pages":""},"PeriodicalIF":12.3,"publicationDate":"2024-08-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141989207","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"心理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}