Arshia U. Zaidi

A Guide for Statistical Tests and Interpretations with SPSS (eBook, ePUB)

• Format: ePub

Produktbeschreibung

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.

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Produktdetails

• Verlag: Taylor & Francis eBooks
• Erscheinungstermin: 29. Oktober 2024
• Englisch
• ISBN-13: 9781040121245
• Artikelnr.: 72283333

Autorenporträt

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