ReCentering Psych Stats: Psychometrics
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Chapters
- Introduction
- Questionnaire Construction: The Fundamentals
- Be a QualTRIXter
- Psychometric Validity: Basic Concepts
- Reliability
- Item Analysis for Educational Achievement Tests (Exams)
- Item Analysis for Likert Type Scale Construction
- Principal Components Analysis
- Principal Axis Factoring
- CFA (Confirmatory Factor Analysis): First Order Models
- CFA: Hierarchical and Nested Models
- Invariance Testing
- Hybrid Models
- Additional Simulations
Description
To center a variable in regression means to set its value at zero and interpret all other values in relation to this reference point. Regarding race and gender, researchers often center male and White at zero. Further, it is typical that research vignettes in statistics textbooks are similarly seated in a White, Western (frequently U.S.), heteronormative, framework. ReCentering Psych Stats seeks to provide statistics training for psychology students (undergraduate, graduate, and post-doctoral) in a socially and culturally responsive way. All lessons use the open-source statistics program, R (and its associated packages). Each chapter includes a screencast lesson, features a workflow for statistical decision-making, and includes all R code necessary for conducting the statistic. Research vignettes are drawn from the published psychology literature. When possible, these articles are authored by individuals who hold identities that have been marginalized in the scientific literature; correctly use the statistic that is taught in the lesson; and focus on issues of justice, equity, inclusion, and diversity. When possible, lessons include interviews with researchers from the featured vignettes. Each chapter includes suggestions for practice that are graded in complexity, such that learners can choose the degree of challenge. In this volume devoted to psychometrics, the first chapters review fundamentals of questionnaire construction and best practices in survey design. As expected, there are chapters on reliability, validity, and item analysis. Several chapters review exploratory approaches to factor analysis (i.e., principal components analysis, principal axis factoring), and several chapters review confirmatory factor analysis (i.e., first order models, hierarchical and nested models, invariance testing). The text concludes with a chapter that integrates the confirmatory model into a structural equation model. Additional simulations provide options for practice. Additional volumes of ReCentering Psych States include the base volume (inferential statistics and ANOVA) and Multivariate Modeling. ReCentering Psych Stats is perpetually-in-progress; suggestions for corrections or chapters are welcome: recenterpsychstats@gmail.com
Link to full online book and supplemental materials (first page includes links to .pdf, .doc, and ebook formats): https://lhbikos.github.io/ReC_Psychometrics/
Publication Date
5-27-2024
Publisher
Seattle Pacific University Library
Funder
SPU Educational Technology and Media
Grant
Open Educational Resource Grant
City
Seattle
Keywords
statistics, behavioral statistics, research methods, psychology, clinical psychology, counseling psychology, school psychology, health services psychology, R
Disciplines
Clinical Psychology | Counseling Psychology | Health Psychology | Industrial and Organizational Psychology | Psychology | Quantitative Psychology | School Psychology
Copyright Status
http://rightsstatements.org/vocab/InC/1.0/
Additional Rights Information
Copyright © 2024 by Lynette Bikos Seattle Pacific University Library, Seattle, WA
Creative Commons License
This work is licensed under a Creative Commons Attribution-NonCommercial-Share Alike 4.0 International License.
Recommended Citation
Bikos, Lynette, "ReCentering Psych Stats: Psychometrics" (2024). Faculty Open Access Books. 6.
https://digitalcommons.spu.edu/open_books/6
Rights Statement
Comments
Lynette Bikos (she/her/hers), PhD, ABPP (Counseling Psychology), teaches statistics, research methods, and psychometrics courses in the Clinical and Industrial-Organizational Psychology doctoral programs at Seattle Pacific University. She is authoring the open educational resource, ReCentering Psych Stats, as a socially responsive pedagogy in statistics/research methods training. Her research interests fall at the intersections of vocational, global, and sustainable psychology – with particular interests in plotting longitudinal growth trajectories examining the simultaneous effects of individual and contextual factors. Significant research projects have explored global learning outcomes in returnees from study abroad; career development in response to an online, calling-infused intervention; and wearing facemasks during the pandemic. Dr. Bikos has served on a number of editorial boards including the Journal of Vocational Behavior, Career Development Quarterly, Journal of Counseling Psychology, and Journal of Career Development. Dr. Bikos is fellowed in APA’s Division 52/International Psychology and the Western Psychological Association.