Parsing Psychology Statistical And Computational Methods Using Physiological Behavioral Social And Cognitive Data
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| Author | : Pietro Cipresso |
| Publisher | : Frontiers Media SA |
| Total Pages | : 218 |
| Release | : 2020-02-14 |
| Genre | : |
| ISBN | : 2889633691 |
This eBook is a collection of articles from a Frontiers Research Topic. Frontiers Research Topics are very popular trademarks of the Frontiers Journals Series: they are collections of at least ten articles, all centered on a particular subject. With their unique mix of varied contributions from Original Research to Review Articles, Frontiers Research Topics unify the most influential researchers, the latest key findings and historical advances in a hot research area! Find out more on how to host your own Frontiers Research Topic or contribute to one as an author by contacting the Frontiers Editorial Office: frontiersin.org/about/contact.
| Author | : PressGrup Academician Team |
| Publisher | : Prof. Dr. Bilal Semih Bozdemir |
| Total Pages | : 492 |
| Release | : |
| Genre | : Education |
| ISBN | : |
Psychology: Computer-Aided Numerical Methods Introduction to Numerical Methods in Psychology Advantages of Computer-Aided Numerical Analysis Data Collection and Preprocessing Linear Regression and Correlation Analysis Logistic Regression and Classification Principal Component Analysis (PCA) Cluster Analysis Time Series Analysis Bayesian Methods and Inference Monte Carlo Simulation Techniques Optimization Algorithms in Psychological Research Visualization and Interpretation of Results Practical Applications and Case Studies
| Author | : PressGrup Academician Team |
| Publisher | : Prof. Dr. Bilal Semih Bozdemir |
| Total Pages | : 480 |
| Release | : |
| Genre | : Psychology |
| ISBN | : |
Interpreting and Reporting Statistical Results In the realm of psychological research, the ability to interpret and report statistical results accurately is paramount. This chapter delves into the essential guidelines and practices that researchers must follow to communicate findings effectively and responsibly. As psychologists often work with complex data sets, the interpretation of statistical results demands clarity, precision, and rigor. Understanding Statistical Output The first step in interpreting statistical results is to comprehend the output generated by statistical software. This output typically includes a range of statistics such as p-values, confidence intervals, regression coefficients, and others, depending on the analysis conducted. Each of these elements conveys critical information, which must be accurately interpreted to draw meaningful conclusions. For example, in hypothesis testing, the p-value indicates the probability of obtaining results as extreme as observed, assuming the null hypothesis is true. A p-value less than the predefined alpha level (commonly set at 0.05) leads to the rejection of the null hypothesis. Researchers must not only report the p-value but also contextualize it within the broader framework of the study, including the sample size and effect size.
| Author | : Prof. Dr. Bilal Semih Bozdemir |
| Publisher | : Prof. Dr. Bilal Semih Bozdemir |
| Total Pages | : 457 |
| Release | : |
| Genre | : Psychology |
| ISBN | : |
Psychology and Social Policy Introduction: Understanding the Intersection The Role of Psychology in Public Policy Psychological Factors in Policymaking The Impact of Social Policies on Individual Behavior Applying Psychological Principles to Societal Challenges Promoting Wellbeing Through Policy Interventions Addressing Mental Health in Social Policies The Psychology of Poverty and Economic Inequality Reducing Discrimination and Promoting Inclusion Psychological Perspectives on Education Reform The Influence of Media and Technology on Social Policy The Psychology of Environmental Policies Behavioral Economics and Policy Design Evaluating the Effectiveness of Social Policies The Role of Emotion and Cognition in Policymaking Psychological Aspects of Public Health Initiatives Addressing Substance Abuse Through Social Policies The Psychology of Criminal Justice Policies Promoting Healthy Aging Through Social Policies Psychological Insights into Immigration and Integration Applying Psychological Research to Policymaking Ethical Considerations in Psychology and Social Policy Interdisciplinary Collaboration in Social Policymaking The Future of Psychology and Social Policy Challenges and Opportunities in Policy Implementation Empowering Individuals and Communities Through Policy Communicating Psychological Insights to Policymakers Measuring the Psychological Impact of Social Policies Cultivating a Psychologically-Informed Policy Landscape Conclusion: Integrating Psychology and Social Policy
| Author | : University of Virginia |
| Publisher | : |
| Total Pages | : 894 |
| Release | : 2007 |
| Genre | : |
| ISBN | : |
| Author | : Michael N. Jones |
| Publisher | : Psychology Press |
| Total Pages | : 379 |
| Release | : 2016-11-03 |
| Genre | : Psychology |
| ISBN | : 1315413558 |
While laboratory research is the backbone of collecting experimental data in cognitive science, a rapidly increasing amount of research is now capitalizing on large-scale and real-world digital data. Each piece of data is a trace of human behavior and offers us a potential clue to understanding basic cognitive principles. However, we have to be able to put the pieces together in a reasonable way, which necessitates both advances in our theoretical models and development of new methodological techniques. The primary goal of this volume is to present cutting-edge examples of mining large-scale and naturalistic data to discover important principles of cognition and evaluate theories that would not be possible without such a scale. This book also has a mission to stimulate cognitive scientists to consider new ways to harness big data in order to enhance our understanding of fundamental cognitive processes. Finally, this book aims to warn of the potential pitfalls of using, or being over-reliant on, big data and to show how big data can work alongside traditional, rigorously gathered experimental data rather than simply supersede it. In sum, this groundbreaking volume presents cognitive scientists and those in related fields with an exciting, detailed, stimulating, and realistic introduction to big data – and to show how it may greatly advance our understanding of the principles of human memory, perception, categorization, decision-making, language, problem-solving, and representation.
| Author | : |
| Publisher | : |
| Total Pages | : 610 |
| Release | : 1985-03 |
| Genre | : Dissertations, Academic |
| ISBN | : |
| Author | : Olivier Houdé |
| Publisher | : Cambridge Handbooks in Psychol |
| Total Pages | : 727 |
| Release | : 2022-03-03 |
| Genre | : Psychology |
| ISBN | : 1108423876 |
This handbook presents a cutting-edge overview of cognitive development, spanning methodology, key domain-based findings and applications.
| Author | : Roger Tourangeau |
| Publisher | : Cambridge University Press |
| Total Pages | : 420 |
| Release | : 2000-03-13 |
| Genre | : Psychology |
| ISBN | : 9780521576291 |
This valuable book examines the complex psychological processes involved in answering different types of survey questions. Drawing on both classic and modern research from cognitive psychology, social psychology, and survey methodology, the authors examine how survey responses are formulated and they demonstrate how seemingly unimportant features of the survey can affect the answers obtained. The book provides a comprehensive review of the sources of response errors in surveys, and it offers a coherent theory of the relation between the underlying views of the public and the results of public opinion polls. Topics include the comprehension of survey questions, the recall of relevant facts and beliefs, estimation and inferential processes people use to answer survey questions, the sources of the apparent instability of public opinion, the difficulties in getting responses into the required format, and the distortions introduced into surveys by deliberate misreporting.
| Author | : Deborah G. Mayo |
| Publisher | : Cambridge University Press |
| Total Pages | : 503 |
| Release | : 2018-09-20 |
| Genre | : Mathematics |
| ISBN | : 1108563309 |
Mounting failures of replication in social and biological sciences give a new urgency to critically appraising proposed reforms. This book pulls back the cover on disagreements between experts charged with restoring integrity to science. It denies two pervasive views of the role of probability in inference: to assign degrees of belief, and to control error rates in a long run. If statistical consumers are unaware of assumptions behind rival evidence reforms, they can't scrutinize the consequences that affect them (in personalized medicine, psychology, etc.). The book sets sail with a simple tool: if little has been done to rule out flaws in inferring a claim, then it has not passed a severe test. Many methods advocated by data experts do not stand up to severe scrutiny and are in tension with successful strategies for blocking or accounting for cherry picking and selective reporting. Through a series of excursions and exhibits, the philosophy and history of inductive inference come alive. Philosophical tools are put to work to solve problems about science and pseudoscience, induction and falsification.
