A Journey into Open Science and Research Transparency in Psychology
By Jon Grahe
Published August 2021 by Routledge ($128.00 hardback; $31.96 paperback; e-books also available)
This book introduces students and researchers to the open science movement in psychology. It could serve as a useful companion to a research methods course to acquaint novices to explore these fundamental topics in social science research. Readers will find advice and practical guidance regarding planning, conducting, and disseminating their research in ways that support transparency. The book discusses the replication crisis, issues related to crowd-sourcing, publication ethics, diversity and sustainability, as well as statistical and methodological concerns. Chapters include exercises related to the topics and additional resources and recommendations.
Research Methods and Data Analysis for Business Decisions
By J. E. Sallis, G. Gripsrud, U. H. Olsson, & R. Silkoset
Published December 2021 by Springer ($119.99 hardback; e-books also available)
In this introductory text, readers will learn about the research process, research methods, and data analysis tools related to both qualitative and quantitative approaches. The book has four main sections that cover data collection, qualitative methods, statistical methods, and reporting the results. Topics include detailed information about the procedures, analyses, interpretation, and hands-on applications (examples are provided for QDA Miner Lite and SPSS). This book will arm students, researchers, and business leaders with the methods to lead to informed decision-making.
Handbook of Regression Modeling in People Analytics
By Keith McNulty
Published July 2021 by Routledge ($63.96 hardback; e-books also available)
For researchers and practitioners interested in predictive analytics, regression analysis is central to most research. This book serves as a valuable resource, covering a range of analyses related to regression and inferential statistics, with examples provided in both R and Python. Content includes hypothesis testing, linear and logistic regression, power analysis, and multivariate modeling. Detailed exercises, code, sample data, and interpretation guidelines are provided within each section, alongside clear step-by-step instructions. The book combines theory and practical applications, appealing to a wide audience.
Applied Cross-Cultural Data Analysis for Social Work
By Thanh V. Tran and Keith T. Chan
Published July 2021 by Oxford University Press ($45.00 paperback; e-books also available)
The authors created a pocket guide to conducting data analysis for cross-cultural research. In this book, readers will find detailed rationale and framework to understand various methods, step-by-step guidelines for conducting advanced analyses, and corresponding syntax (in Stata) and examples from the authors’ original research to illustrate these steps. Topics include descriptive statistics, bivariate and multivariate analyses, large-scale survey data, assumption testing, data management, and advanced topics, such as hierarchical linear modeling and structural equation modeling.
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Have you published a new psychological test or testing product; a book on advanced statistics, measurement, or evaluation; an interesting website or other internet group related to measurement, statistics, or evaluation; or a computer program useful to Div. 5 membership? If so, we would like to include an announcement of about 100 words in the What’s New column. We would also appreciate any suggestions, or feedback, on how this section of the newsletter can better serve the Div. 5 membership. Please take the opportunity to share information with colleagues through your contributions to this column. Please send announcements and/or product literature to The Score Associate Editor, Joanna Solomon.