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An Introductory Guide to Quantitative Data Analysis and Interpretation using SPSS 30 - Yeoh Sok Foon

An Introductory Guide to Quantitative Data Analysis and Interpretation using SPSS 30

Outputs and Interpretation for APA Format

(Autor)

Buch | Softcover
220 Seiten
2026
Routledge (Verlag)
978-1-041-13776-4 (ISBN)
CHF 78,50 inkl. MwSt
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An Introductory Guide to Quantitative Data Analysis and Interpretation using SPSS 30 is a comprehensive guide to quantitative analysis. It integrates knowledge of research methods, data analysis, and report writing includes exploring data, data preparation, and data analysis.

This textbook provides readers with fundamental knowledge about quantitative data analysis through a sample of research objectives, step-by-step guidance in generating SPSS outputs, hypothesis testing, and interpreting the analysis outputs. It focuses on frequently used descriptive, bivariate and multivariate analyses, and discusses the assumptions and requirements for these methods. Using SPSS version 30, and also providing a complete case study, this book will help readers to get a big picture of how to get the collected data ready and complete further analysis. This is followed by a step-by-step hands-on guide to interpreting the outputs to match research objectives or hypothesis testing. Lastly, it provides a sample write-up for a research article or dissertation using APA format.

This guide will be an essential companion for beginner or university students who are learning quantitative data analysis using SPSS software and/or doing their research project. It will also be beneficial to professionals and researchers who want to revive their quantitative data analysis and format their academic papers to maintain clarity and professionalism in scientific writing using APA format.

Yeoh Sok Foon is an independent researcher in Malaysia. She previously worked as a lecturer teaching statistics, quantitative methods, and management. She has varied research and publication experience.

1. Exploratory Data Analysis (EDA) 2. Data Transformation 3. Reliability Test 4. Descriptive Analysis 5. All about T-Tests 6. One-Way ANOVA 7. Chi-square Test 8. Correlation 9. Factor Analysis 10. Multiple Linear Regression 11. Conclusion

Erscheint lt. Verlag 1.4.2026
Zusatzinfo 68 Line drawings, black and white; 150 Halftones, black and white; 218 Illustrations, black and white
Verlagsort London
Sprache englisch
Maße 156 x 234 mm
Themenwelt Geisteswissenschaften Psychologie
Mathematik / Informatik Mathematik
ISBN-10 1-041-13776-1 / 1041137761
ISBN-13 978-1-041-13776-4 / 9781041137764
Zustand Neuware
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