Guide for Statistical Tests and Interpretations with SPSS

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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