Approaches to Quantitative Research : a Guide for Dissertation Students.

Copyright Page; Contributors; Acknowledgements; 1: Introduction; About each Chapter; The Structure of the Book; References; 2: Spss for Real Beginners; Introduction; Scales and Questionnaires; Basic Steps in SPSS; Miscellaneous; References; 3: Preliminary Data Analysis; Descriptives; Graphs; Correlations Between Variables; Multivariate Outliers and Normality; References; 4: T-Tests and Anova; Introduction; Description of the Technique; Data Requirements and Assumptions; A Worked Example; References; 5: Manova; Introduction; Types of Manova; Description of Factorial Manova.

Reasons for Using ManovaData Requirements; A Worked Example for Factorial Manova; Post hoc Tests; Conclusion; References; 6: Correlation and Regression; Introduction; Correlation; Regression; A Worked Example; References; 7: Logistic Regression; Introduction; Description of the Technique; How to use Logistic Regression; Data Requirements; A Worked Example; Data Analysis Results; Conclusion; References; 8: Exploratory Factor Analysis; Introduction; When Would you use Factor Analysis?; The Difference Between Exploratory Factor Analysis and Principal Components Analysis; Data Requirements.

Worked ExampleSummary; References; 9: Multidimensional Scaling; Introduction; Data Requirements; When to use it; Types of MDS; A Worked Example; Conclusion; References; Oak Tree Press.

APPROACHES TO QUANTITATIVE RESEARCH is designed for both undergraduate and postgraduate business students who are planning to undertake a research project or dissertation. Due to a lack of formal research training and experience, students can find completing research projects a daunting task. This, coupled with a fear of statistics, can culminate in quite an overwhelming experience for many students. Therefore, APPROACHES TO QUANTITATIVE RESEARCH takes a practical approach to quantitative research techniques by providing step-by-step guides to their application and interpretation. By using.

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