Arshia U. Zaidi

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

• Format: ePub

Produktbeschreibung

A Guide for Statistical Tests and Interpretations with SPSS 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.

Starting from the basics of quantitative research methods and discussing descriptive and inferential statistical tests, this book provides a unique perspective of data analysis with SPSS. It makes a conscious effort to explore the various statistical methods one can use to dissect a data set using basic or advanced statistical techniques to achieve the best outcome. It covers the practical questions that arise while doing an assignment, final paper, or thesis - showing students how to proceed to the next step in their interpretation and analysis. It will provide quantitative methodology or data analysis students with core interpretations of SPSS outputs for key statistical tests. It will also demonstrate how to select and report the key trends and patterns of the data using descriptive and inferential statistics, the requirements and/or assumptions of each test, as well as the precise language to use for reporting on each test.

With SPSS screenshots and step-by-step advice, this book will be useful for all undergraduate and graduate students in the social sciences and humanities, as a supplemental textbook to provide practical guidance on moving through all steps of statistical testing and analysis.

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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