A Step By Step Guide To Exploratory Factor Analysis With R And Rstudio
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A Step-by-Step Guide to Exploratory Factor Analysis with R and RStudio
This is a concise, easy to use, step-by-step guide for applied researchers conducting exploratory factor analysis (EFA) using the open source software R. In this book, Dr. Watkins systematically reviews each decision step in EFA with screen shots of R and RStudio code, and recommends evidence-based best practice procedures. This is an eminently applied, practical approach with few or no formulas and is aimed at readers with little to no mathematical background. Dr. Watkins maintains an accessible tone throughout and uses minimal jargon and formula to help facilitate grasp of the key issues users will face while applying EFA, along with how to implement, interpret, and report results. Copious scholarly references and quotations are included to support the reader in responding to editorial reviews. This is a valuable resource for upper-level undergraduate and postgraduate students, as well as for more experienced researchers undertaking multivariate or structure equation modeling courses across the behavioral, medical, and social sciences.
A Step-by-Step Guide to Exploratory Factor Analysis with SPSS
This is a concise, easy to use, step-by-step guide for applied researchers conducting exploratory factor analysis (EFA) using SPSS. In this book, Dr. Watkins systematically reviews each decision step in EFA with screen shots and code from SPSS and recommends evidence-based best-practice procedures. This is an eminently applied, practical approach with few or no formulas and is aimed at readers with little to no mathematical background. Dr. Watkins maintains an accessible tone throughout and uses minimal jargon to help facilitate grasp of the key issues users will face while applying EFA, along with how to implement, interpret, and report results. Copious scholarly references and quotations are included to support the reader in responding to editorial reviews. This is a valuable resource for upper-level undergraduate and postgraduate students, as well as for more experienced researchers undertaking multivariate or structure equation modeling courses across the behavioral, medical, and social sciences.
Assessing Psychometric Fitness of Intelligence Tests
Author: Gary L. Canivez
language: en
Publisher: Rowman & Littlefield
Release Date: 2025-03-25
Assessing Psychometric Fitness of Intelligence Tests: Toward Evidence-Based Interpretation Practices addresses issues and concerns regarding appropriate ethical and scientific underpinnings for the appropriate interpretation of intelligence tests. Ethical test interpretation requires test users to consider the empirical evidence for individual and all test score comparisons and to make appropriate clinical decisions accordingly. This requires test users to have competencies in advanced psychometric principles. The chapters in this edited volume present a variety of topics, including the intersection of ethical principles, test standards, and psychometric properties that guide evidence-based interpretation; surveys of empirical evidence in the literature for qualifying major intelligence test interpretations, and psychological measurement topics that impact psychometric understanding of what current intelligence tests can and cannot do. This critical discussion has implications for basic undergraduate and graduate instruction, as well as supervision in clinical and research applications.