Description

Book Synopsis

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.

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

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    A Paperback by Yeoh Sok Foon

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      Book details

      Publisher Taylor & Francis
      Published 31 March 2026
      ISBN-13 9781041137764
      978-1041137764
      ISBN-10 1041137761

      Description

      Book Synopsis

      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.

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