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    ReCentering Psych Stats

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    Lynette Bikos, Seattle Pacific University

    Copyright Year:

    ISBN 13: 9798986876825

    Publisher: Seattle Pacific University Library

    Language: English

    Formats Available

    Conditions of Use

    Attribution-NonCommercial-ShareAlike Attribution-NonCommercial-ShareAlike
    CC BY-NC-SA

    Table of Contents

    • Introduction
    • Ready_Set_R
    • Preliminary Analyses
    • One Sample t-tests
    • Independent Samples t-test
    • Paired Samples t-test
    • One-way ANOVA
    • Factorial (Between-Subjects) ANOVA
    • One-Way Repeated Measures ANOVA
    • Mixed Design ANOVA
    • Analysis of Covariance
    • Type I Error
    • Examples for Follow-up to Factorial ANOVA
    • One-Way Repeated Measures with a Multivariate Approach

    Ancillary Material

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    About the Book

    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 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 lesson includes a chapter and screencasted lesson, features a workflow for statistical decision-making, and includes all R code necessary to conduct 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 being taught in the lesson; and focus on issues of justice, equity, inclusion, or 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. ReCentering Psych Stats is perpetually-in-progress; suggestions for corrections or chapters are welcomed: ReCenteringPsychStats@spu.edu

    About the Contributors

    Author

    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 BehaviorCareer Development QuarterlyJournal of Counseling Psychology, and Journal of Career Development. Dr. Bikos is fellowed in APA’s Division 52/International Psychology and the Western Psychological Association.

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