SPSS for intermediate statistics: Use and interpretation, 2nd ed. - Original PDF

دانلود کتاب SPSS for intermediate statistics: Use and interpretation, 2nd ed. - Original PDF

Author: Nancy L. Leech,Karen C. Barrett George A. Morgan

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This book is designed to help students learn how to analyze and interpret research data with intermediate statistics. It is intended to be a supplemental text in an intermediate statistics course in the behavioral sciences or education and it can be used in conjunction with any mainstream text. The authors have found that the book makes SPSS for Windows easy to use so that it is not necessary to have a formal, instructional computer lab; you should be able to learn how to use SPSS on your own with this book. Access to the SPSS program and some familiarity with Windows is all that is required. Although SPSS for Windows is quite easy to use, there is such a wide variety of options and statistics that knowing which ones to use and how to interpret the printouts can be difficult, so this book is intended to help with these challenges. This book demonstrates how to produce a variety of statistics that are usually included in intermediate statistics courses, plus some (e.g., reliability measures) that are useful for doing research. The authors' goal is to describe the use and interpretation of these statistics as much as possible in nontechnical, jargon-free language. Helping you learn how to choose the appropriate statistics, interpret the outputs, and develop skills in writing about the meaning of the results are the main goals of this book. (PsycINFO Database Record (c) 2016 APA, all rights reserved)

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This book demonstrates how to produce a variety of statistics that are usually included in
intermediate statistics courses, plus some (e.g., reliability measures) that are useful for doing
research. Our goal is to describe the use and interpretation of these statistics as much as possible
in nontechnical, jargon-free language.

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Preface vii 1. Introduction and Review of Basic Statistics With SPSS 1 Variables Research Hypotheses and Research Questions A Sample Research Problem: The Modified High School and Beyond (HSB) Study Research Questions for the Modified HSB Study Frequency Distributions Levels of Measurement Descriptive Statistics Conclusions About Measurement and the Use of Statistics The Normal Curve Interpretation Questions 2. Data Coding and Exploratory Analysis (EDA) 24 Rules for Data Coding Exploratory Data Analysis (EDA) Statistical Assumptions Checking for Errors and Assumptions With Ordinal and Scale Variables Using Tables and Figures for EDA Transforming Variables Interpretation Questions Extra Problems 3. Selecting and Interpreting Inferential Statistics 46 Selection of Inferential Statistics The General Linear Model Interpreting the Results of a Statistical Test An Example of How to Select and Interpret Inferential Statistics Review of Writing About Your Outputs Conclusion Interpretation Questions 4. Several Measures of Reliability 63 Problem 4.1: Cronbach's Alpha for the Motivation Scale Problems 4.2 & 4.3: Cronbach's Alpha for the Competence and Pleasure Scales Problem 4.4: Test-Retest Reliability Using Correlation Problem 4.5: Cohen's Kappa With Nominal Data Interpretation Questions Extra Problems 5. Exploratory Factor Analysis and Principal Components Analysis 76 Problem 5.1: Factor Analysis on Math Attitude Variables Problem 5.2: Principal Components Analysis on Achievement Variables Interpretation Questions Extra Problems v 6. Multiple Regression 90 Problem 6.1: Using the Simultaneous Method to Compute Multiple Regression Problem 6.2: Simultaneous Regression Correcting Multicollinearity Problem 6.3: Hierarchical Multiple Linear Regression Interpretation Questions 7. Logistic Regression and Discriminant Analysis 109 Problem 7.1: Logistic Regression Problem 7.2: Hierarchical Logistic Regression Problem 7.3: Discriminant Analysis (DA) Interpretation Questions 8. Factorial ANOVA and ANCOVA 129 Problem 8.1: Factorial (2-Way) ANOVA Problem 8.2: Post Hoc Analysis of a Significant Interaction Problem 8.3: Analysis of Covariance (ANCOVA) Interpretation Questions Extra Problems 9. Repeated Measures and Mixed ANOVAs 147 The Product Data Set Problem 9.1: Repeated Measures ANOVA Problem 9.2: The Friedman Nonparametric Test for Several Related Samples Problem 9.3: Mixed ANOVA Interpretation Questions 10. Multivariate Analysis of Variance (MANOVA) and Canonical Correlation 162 Problem 10.1: GLM Single-Factor Multivariate Analysis of Variance Problem 10.2: GLM Two-Factor Multivariate Analysis of Variance Problem 10.3: Mixed MANOVA Problem 10.4: Canonical Correlation Interpretation Questions Appendices A. Quick Reference Guide to SPSS Procedures Joan Naden Clay 188 C. Getting Started with SPSS 206 D. Making Figures and Tables Don Quick 213 E. Answers to Odd Numbered Interpretation Questions 226 For Further Reading 232 Index 233

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