Modern Psychometrics with R by Patrick MairThis textbook describes the broadening methodology spectrum of psychological measurement in order to meet the statistical needs of a modern psychologist. The way statistics is used, and maybe even perceived, in psychology has drastically changed over the last few years; computationally as well as methodologically. R has taken the field of psychology by storm, to the point that it can now safely be considered the lingua franca for statistical data analysis in psychology. The goal of this book is to give the reader a starting point when analyzing data using a particular method, including advanced versions, and to hopefully motivate him or her to delve deeper into additional literature on the method. Beginning with one of the oldest psychometric model formulations, the true score model, Mair devotes the early chapters to exploring confirmatory factor analysis, modern test theory, and a sequence of multivariate exploratory method. Subsequent chapters present special techniques useful for modern psychological applications including correlation networks, sophisticated parametric clustering techniques, longitudinal measurements on a single participant, and functional magnetic resonance imaging (fMRI) data. In addition to using real-life data sets to demonstrate each method, the book also reports each method in three parts-- first describing when and why to apply it, then how to compute the method in R, and finally how to present, visualize, and interpret the results. Requiring a basic knowledge of statistical methods and R software, but written in a casual tone, this text is ideal for graduate students in psychology. Relevant courses include methods of scaling, latent variable modeling, psychometrics for graduate students in Psychology, and multivariate methods in the social sciences.
Call Number: eBook
Publication Date: 2018
Statistics and Research Methods in Psychology with Excel by J. P. VermaThis book, specifically developed for students of psychology, covers a wide range of topics in statistics and research designs taught in psychology, in particular, and other disciplines like management, sociology, education, home science, and nutrition, in general, in most universities. It explains how to use Excel to analyze research data by elaborating statistical concepts. Each chapter contains sections like "Check you Computing skill" and "Check your Statistical Concepts" to enable students to assess their knowledge in a graded manner. The book addresses one of the major challenges in psychology research, viz., how to measure subjective phenomenon like attitude, desire, and preferences of an individual. Separate emphasis has been given to the measurement techniques which are essential tools to assess these subjective parameters in numerical form, required for statistical analysis to draw meaningful conclusions. The book is equally helpful to students of humanities, life sciences and other applied areas. Consisting of 14 chapters, the book covers all relevant topics of statistics and research designs which are important for students to plan and complete their research work.
Call Number: eBook
Publication Date: 2019
The Theory of Statistics in Psychology by Craig W. Gruber (Editor)This edition of Annals of Theoretical Psychology focuses on the utilization of statistics and the empirical nature of them as applied to psychology in action. Beginning with statements from the American Statistical Association on the applicability of statistics, the volume moves to a discussion of empiricism in psychology, and the reliance on statistics. The book then branches out to discuss applied aspects of statistics in Emergency management, policing, and technology. In these areas, a tie-in to the relevance of the person in the statistical measures is a prominent aspect for discussion. Finally, the book looks at applicability and use of statistics as descriptors of larger, societal samples as opposed to use for describing individual behavior. This edition is designed to continue the exploration of theoretical psychology as it applies to behavior and the individual, as the last edition, Leader Development Deconstructed, did with examining leaders and leadership. "Leaders influence others. Their tools include competence, candor and character. In those first two areas I've found statisticians possess a strong foundation for leadership (critical thinking, problem solving, strategic perspective, and risk management) but often lack a comfortable, collaborative temperament which inhibits their maximum effect. In this issue of Annals, Dr. Craig Gruber (a Navy Reserve Intelligence Officer to boot!) combines all three elements of influence which proves why he is regarded as a thought leader in this field. His inclusion in this edition of outstanding works from many subject matter experts' offers an inclusive and comprehensive approach to understanding the power, impact, and decision advantage of statistics and leadership when effectively paired. Enjoy!" - Rear Admiral Paul Becker, USN (retired), President of The Becker T3 Group, and former Director of Intelligence for the Joint Chiefs of Staff