Doing Statistical Analysis: A Student's Guide to Quantitative Research

Doing Statistical Analysis is a textbook for undergraduate students across the social and behavioral sciences that teaches them how to conduct statistical analyses and interpret the results using a conversational style and relatable examples. It includes practice exercises, digital supplements, and a test bank.

Format: Hardback
Length: 256 pages
Publication date: 29 July 2022
Publisher: Taylor & Francis Ltd

Doing Statistical Analysis is a comprehensive textbook that delves into three distinct types of statistical research questions: descriptive, associational, and inferential. It aims to equip students with the skills to conduct statistical analyses and interpret the findings effectively. The book employs a conversational style and relatable examples, such as football, COVID-19, and tourism, to enhance understanding. Each chapter includes practical exercises, along with a section demonstrating how to reproduce the statistical results using Stata and SPSS. Additionally, digital supplements include data sets in Stata, SPSS, and Excel, as well as a test bank for instructors. The textbook's accessible approach makes it an ideal choice for undergraduate students across the social and behavioral sciences who seek to develop their confidence in statistical analysis.

Descriptive Analysis:
Descriptive Analysis involves collecting and summarizing data to describe the characteristics of a population or a specific phenomenon. It helps in understanding the distribution, central tendency, and variability of the data. The book provides examples and exercises to illustrate how to perform descriptive analysis using statistical tools such as frequency tables, measures of central tendency, and graphical representations.

Associational Analysis:
Associational Analysis examines the relationship between two or more variables. It explores the strength and direction of the associations between variables and seeks to identify factors that influence these relationships. The book covers various statistical methods, such as correlation analysis, regression analysis, and multivariate analysis, to analyze associational data. It also discusses the importance of hypothesis testing and the interpretation of statistical results.

Inferential Analysis:
Inferential Analysis involves making predictions and drawing conclusions about a population based on a sample of data. It uses statistical models and hypothesis testing to estimate the parameters and test the significance of relationships. The book covers topics such as probability theory, hypothesis testing, and statistical inference. It also provides examples and exercises to demonstrate how to perform inferential analysis using statistical software such as Stata and SPSS.

In addition to these statistical analysis topics, the book emphasizes the importance of ethical considerations in statistical research. It discusses the principles of confidentiality, anonymity, and informed consent and provides guidelines for conducting ethical research. The book also includes a section on data visualization, which helps in interpreting and presenting statistical results effectively.

By covering these three types of statistical research questions and providing practical examples and exercises, Doing Statistical Analysis aims to equip students with the skills and knowledge necessary to perform statistical analysis and interpret statistical results in various social and behavioral sciences. Whether students are pursuing degrees in psychology, sociology, economics, or any other field, this textbook is a valuable resource for building their statistical analysis skills.

Weight: 650g
Dimension: 246 x 174 (mm)
ISBN-13: 9781032180304