This book is designed for students taking basic and advanced courses in statistics, taking an integrative and practical approach to learning statistics. It guides students through navigating SPSS outputs and writing quantitatively, dealing with technical and substantive interpretations without resorting to complex mathematical formulae.
This book is designed for students taking basic and advanced courses in statistics, taking an integrative and practical approach to learning statistics. It guides students through navigating SPSS outputs and writing quantitatively, dealing with technical and substantive interpretations without resorting to complex mathematical formulae.
Arshia U. Zaidi is an Associate Professor in the Faculty of Social Science & Humanities Criminology & Justice at Ontario Tech University (OTU), Canada, teaching statistics to both undergraduate and graduate students.
Inhaltsangabe
Part 1: Introduction To Quantitative Research Methods, Data Modification & Descriptive Statistics 1. Understanding Quantitative Research as a Precursor to the Statistical Pathways 2. Data Manipulation & Sample Modification Techniques 3. Describing Trends and Patterns of the Data Using Univariate Statistics 4. Bivariate and Multivariate Descriptive Statistics Using Non-Parametric Tests; Part 2: Inferential Statistical Analyses Using Hypothesis Testing, Comparison of Means Tests & Average Differences 5. Introduction to Inferential Statistics and Understanding the Nuances of Inference based Testing and Generalizability of Data 6. Bivariate Hypothesis Testing Using an Independent Samples Comparison of Means t-test using a Dichotomous Independent Variable 7. Bivariate Hypothesis Testing Using Comparison of Means using More than Two Groups, One-Way ANOVA 8. Multivariate Hypothesis Testing Using Comparison of Means using Two-Way Factorial ANOVA 9. Multivariate Hypothesis Testing Using Comparison of Means by Advanced ANOVA Statistical Hypothesis Testing using ANCOVA, MANOVA, MANCOVA; Part 3: Inferential Statistics with A Focus on Associations & Predictions Using Correlation & Regression Models 10. Correlations with Interval-Ratio Continuous Data 11. A World of Prediction(s) Using Regression Analyses: Multiple Linear Regression, Hierarchical Regression, and Logistic Regression; APPENDIX A: Revised Tables for Peer Reviewed Articles, Theses, or Dissertations
Part 1: Introduction To Quantitative Research Methods, Data Modification & Descriptive Statistics 1. Understanding Quantitative Research as a Precursor to the Statistical Pathways 2. Data Manipulation & Sample Modification Techniques 3. Describing Trends and Patterns of the Data Using Univariate Statistics 4. Bivariate and Multivariate Descriptive Statistics Using Non-Parametric Tests; Part 2: Inferential Statistical Analyses Using Hypothesis Testing, Comparison of Means Tests & Average Differences 5. Introduction to Inferential Statistics and Understanding the Nuances of Inference based Testing and Generalizability of Data 6. Bivariate Hypothesis Testing Using an Independent Samples Comparison of Means t-test using a Dichotomous Independent Variable 7. Bivariate Hypothesis Testing Using Comparison of Means using More than Two Groups, One-Way ANOVA 8. Multivariate Hypothesis Testing Using Comparison of Means using Two-Way Factorial ANOVA 9. Multivariate Hypothesis Testing Using Comparison of Means by Advanced ANOVA Statistical Hypothesis Testing using ANCOVA, MANOVA, MANCOVA; Part 3: Inferential Statistics with A Focus on Associations & Predictions Using Correlation & Regression Models 10. Correlations with Interval-Ratio Continuous Data 11. A World of Prediction(s) Using Regression Analyses: Multiple Linear Regression, Hierarchical Regression, and Logistic Regression; APPENDIX A: Revised Tables for Peer Reviewed Articles, Theses, or Dissertations
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