Data Analysis with SPSS for Survey-based Research

Inbunden, Engelska, 2021

AvSaiyidi Mat Roni,Hadrian Geri Djajadikerta

1 819 kr

Beställningsvara. Skickas inom 10-15 vardagar. Fri frakt för medlemmar vid köp för minst 249 kr.

Finns i fler format (1)

Häftad

1 819 kr

Skickas inom 10-15 vardagar

This book is written for research students and early-career researchers to quickly and easily learn how to analyse data using SPSS. 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.

Produktinformation

Utgivningsdatum2021-06-22
Mått155 x 235 x 20 mm
Vikt639 g
FormatInbunden
SpråkEngelska
Antal sidor264
FörlagSpringer Verlag, Singapore
ISBN9789811601927

Tillhör följande kategorier

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.

Chapter 1. Research instrument design and sample.- Chapter 2. SPSS basics.- Chapter 3. Preliminary data analysis: An analysis before theanalysis.- Chapter 4. Factor analysis: combining related question-items into latent variables.- Chapter 5. Assess the quality of your instrument.- Chapter 6. Latent variable.- Chapter 7. Test of differences among groups.- Chapter 8. Test of correlations.- Chapter 9. Regression.- Chapter 10. Non-parametric tests.