A Guide for Statistical Tests and Interpretations with SPSS
by Arshia U. Zaidi (Author)
Publisher finelybook 出版社: Routledge; 1st edition (October 29, 2024)
Language 语言: English
Print Length 页数: 224 pages
ISBN-10: 1032102101
ISBN-13: 9781032102108
Book Description
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.
About the Author
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.
