Authors: Muhammad Arslan Nasir, Hassan S. Bakouch, Farrukh Jamal

Introductory Statistical Procedures with SPSS

eBook: US $59 Special Offer (PDF + Printed Copy): US $108
Printed Copy: US $78
Library License: US $236
ISBN: 978-981-5039-03-0 (Print)
ISBN: 978-981-5039-02-3 (Online)
Year of Publication: 2022
DOI: 10.2174/97898150390231220101

Introduction

SPSS is beneficial for students and researchers in psychology, sociology, psychiatry, and other behavioural sciences, as it performs a wide range of univariate and multivariate operations commonly used in these fields.

Introductory Statistical Procedures with SPSS is an easy to use textbook that presents the core concepts of statistical theory with applications in SPSS. The goal of this book is to give learners simple and clear instructions on how to use recent versions of SPSS, to perform a range of statistical studies. The book chapters explain elementary statistics (descriptive and inferential) giving a detailed understanding of the discussed topics. Each chapter focuses on a specific type of analytical procedure that can be used to understand a wide range of data sets, the majority of which are from the social and behavioural sciences.

Key Features:

- Simple and clear instructions to use SPSS (Version 21) in 10 chapters

- Introduces the reader to core descriptive statistical and probability measures

- Covers inferential statistics

- Covers regression and correlation analysis

- Covers multivariate statistics

- Presents many illustrative examples and theoretical problems at the end of each chapter with real-life data

Introductory Statistical Procedures with SPSS is an essential guide for anyone who is interested in learning statistical applications of SPSS. Readers with no prior knowledge of statistics, students at all academic levels and professionals alike will benefit from the information in this textbook.

Preface

The importance of this guidebook is that it is simple to use and requires no prior knowledge, while yet presenting the core concepts of statistical theory with applications in SPSS (Statistical Package for the Social Sciences). SPSS is a user-friendly and powerful data management and statistical analysis software package. The package is especially beneficial for students and researchers in psychology, sociology, psychiatry, and other behavioral sciences, as it performs a wide range of univariate and multivariate operations commonly used in these fields. Because of the importance of multivariate statistics, two parts of Chapter 6 are devoted to this topic. The purpose of this guide is to provide concise and clear instructions on how to perform a variety of statistical analysis using the most recent version of SPSS, SPSS 21. Furthermore, the primary goal of this book, as opposed to other books, is to assist undergraduate, graduate, and postgraduate students in a variety of fields, including but not limited to statistics, economics, physics, chemistry, education, and commerce, in conducting statistical analysis using SPSS software. Each chapter focuses on a distinct sort of analytical method that may be used on a variety of data sets, mostly from the social and behavioral sciences. Furthermore, the book must be thorough in terms of dealing with a wide range of problems found in the literature as well as determining the best answer. Although we spend a lot of time talking about how to use SPSS to acquire findings and analyze them, the underlying theoretical foundation of many of the approaches is also covered in separate boxes. The reader is referred to other sources for details when more complex techniques are employed. Despite the fact that many of the boxes contain a few mathematical equations, the reader with only a basic understanding of mathematics will be able to conduct an adequate analysis of the data. The reader should have taken at least one statistical course and be familiar with concepts, such as linear regression, correlation, significance tests, and elementary analysis of variance in order to get the most out of this handbook. This guide will provide researchers and students with a relatively self-contained method of accurately analyzing their data using SPSS. Each chapter concludes with a collection of tasks, some of which are linked to the data sets covered in the chapter and others which introduce further data sets. These activities will help the readers to improve their SPSS and statistical abilities.

CONSENT FOR PUBLICATION

Not Applicable.

CONFLICT OF INTEREST

The author declares no conflict of interest, financial or otherwise.

ACKNOWLEDGEMENT

Declared none.

Muhammad Arslan Nasir
Department of Statistics
Govt. S.E College Bahawalpur
Punjab,Pakistan

Hassan S. Bakouch
Department of Mathematics, Faculty of Science
Tanta University
Tanta, Egypt

&

Farrukh Jamal
Department of Statistics
Islamia University of Bahawalpur
Punjab, Pakistan