Data Analysis with SPSS for Survey-based Research (eBook)
XV, 264 Seiten
Springer Singapore (Verlag)
978-981-16-0193-4 (ISBN)
This book is written for research students and early-career researchers to quickly and easily learn how to analyse data using SPSS. It follows commonly used logical steps in data analysis design for research. The book features SPSS screenshots to assist rapid acquisition of the techniques required to process their research data.
Rather than using a conventional writing style to discuss fundamentals of statistics, this book focuses directly on the technical aspects of using SPSS to analyse data. This approach allows researchers and research students to spend more time on interpretations and discussions of SPSS outputs, rather than on the mundane task of actually processing their data.
Saiyidi Mat Roni is a lecturer in accounting and finance in the School of Business and Law at Edith Cowan University, Perth Australia. He has over two decades of experience in academia is actively consulted by researchers across many disciplines. Saiyidi has also been invited to deliver trainings in statistical analysis for research students and academics here in Australia as well as abroad. He is also the lead author of Conducting Quantitative Research in Education, a book on statistical analysis published by Springer focusing on non-parametric tests which, at time of this writing, has recorded over 6,000 downloads within 14-months of entering the market.
Hadrian Geri Djajadikerta is Associate Professor of Strategic Management Accounting in the School of Business and Law at Edith Cowan University, Perth, Australia. He has over two decades of research, teaching and leadership in academia, and has supervised many doctoral students to completion. His research focuses on strategic management accounting, behavioural accounting, sustainability reporting, corporate governance, and corporate social responsibility.
This book is written for research students and early-career researchers to quickly and easily learn how to analyse data using SPSS. It follows commonly used logical steps in data analysis design for research. The book features SPSS screenshots to assist rapid acquisition of the techniques required to process their research data. Rather than using a conventional writing style to discuss fundamentals of statistics, this book focuses directly on the technical aspects of using SPSS to analyse data. This approach allows researchers and research students to spend more time on interpretations and discussions of SPSS outputs, rather than on the mundane task of actually processing their data.
Erscheint lt. Verlag | 21.6.2021 |
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Zusatzinfo | XV, 264 p. 351 illus., 209 illus. in color. |
Sprache | englisch |
Themenwelt | Mathematik / Informatik ► Mathematik ► Computerprogramme / Computeralgebra |
Mathematik / Informatik ► Mathematik ► Statistik | |
Mathematik / Informatik ► Mathematik ► Wahrscheinlichkeit / Kombinatorik | |
Schlagworte | Analysis of covariance • Analysis of Variance • ANCOVA • ANOVA • Data Analysis • Factor Analysis • hierarchical regression • Kruskal-Wallis • latent variable analysis • Mann-Whitney • monotones • multiple regression • multivariate analysis • non-parametric test • non-response bias • preliminary data analysis • Regression Analysis • spearman • SPSS • t-Test |
ISBN-10 | 981-16-0193-3 / 9811601933 |
ISBN-13 | 978-981-16-0193-4 / 9789811601934 |
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