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Statistical Concepts A Second Course 5Th Edition 2020 Edition at Meripustak

Statistical Concepts A Second Course 5Th Edition 2020 Edition by Debbie L. Hahs-Vaughn, Richard G. Lomax, Taylor and Francis

Books from same Author: Debbie L. Hahs-Vaughn, Richard G. Lomax

Books from same Publisher: Taylor and Francis

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  • General Information  
    Author(s)Debbie L. Hahs-Vaughn, Richard G. Lomax
    PublisherTaylor and Francis
    ISBN9780367204099
    Pages782
    BindingSoftbound
    LanguageEnglish
    Publish YearJanuary 2020

    Description

    Taylor and Francis Statistical Concepts A Second Course 5Th Edition 2020 Edition by Debbie L. Hahs-Vaughn, Richard G. Lomax

    Statistical Concepts-A Second Course presents the last 10 chapters from An Introduction to Statistical Concepts, Fourth Edition. Designed for second and upper-level statistics courses, this book highlights how statistics work and how best to utilize them to aid students in the analysis of their own data and the interpretation of research results. In this new edition, Hahs-Vaughn and Lomax discuss sensitivity, specificity, false positive and false negative errors. Coverage of effect sizes has been expanded upon and more organizational features (to summarize key concepts) have been included. A final chapter on mediation and moderation has been added for a more complete presentation of regression models. In addition to instructions and screen shots for using SPSS, new to this edition is annotated script for using R.This book acts as a clear and accessible instructional tool to help readers fully understand statistical concepts and how to apply them to data. It is an invaluable resource for students undertaking a course in statistics in any number of social science and behavioral science disciplines. PrefaceAcknowledgements1. ONE-FACTOR ANALYSIS OF VARIANCE - FIXED-EFFECTS MODEL2. MULTIPLE COMPARISON PROCEDURES3. FACTORIAL ANALYSIS OF VARIANCE - FIXED-EFFECTS MODEL4. INTRODUCTION TO ANALYSIS OF COVARIANCE: THE ONE-FACTOR FIXED-EFFECTS MODEL WITH A SINGLE COVARIATE5. RANDOM- AND MIXED-EFFECTS ANALYSIS OF VARIANCE MODELS6. HIERARCHICAL AND RANDOMIZED BLOCK ANALYSIS OF VARIANCE MODELS7. SIMPLE LINEAR REGRESSION8. MULTIPLE LINEAR REGRESSION9. LOGISTIC REGRESSION 10. MEDIATION AND MODERATIONAppendix: Tables



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