Quantitative Methods for Business Research, w. CourseMate and eBook Access Card

Part One: Introduction: Quantitative research methods without (much) pain
1. Quantitative research methods using Excel - an applied (non-mathematical) approach.
2. Navigating the Excel ribbon and tabs: installing the Analysis ToolPak.
3. Descriptive statistics: the base-line for quantitative methods.
4. Relationships between variables: correlation analysis in business research.
Part Two: The analysis of relationships and differences: inferential statistics, statistical significance and hypothesis testing
5. Linear Regression Analysis: statistical relationships between variables.
6. Is there a difference and if so, does it matter? Using t-tests in business research.
7. ANOVA: testing for differences between groups.
8. Chi-square: categorically a different kind of difference.
Part Three: Basic elements in formulating a research proposal, and presenting findings using Excel graphics
9. Formulating the research proposal.
10. Basic elements in selecting a chart-type and providing legends and labels.
Part Four: Some issues with Excel data analysis and a few answers
11. The limitations of Excel Data Analysis tools: assessing the data assumptions.
12. Loose ends: touching on some unanswered questions - sampling, multicollinearity and confidence intervals.

Duignan, John
John Duignan has lectured in Economics, International Business, and Quantitative Methods at the University of the West of Scotland. He was Associate Lecturer at the Surrey European Management School, and Visiting Lecturer at several French Business Schools and Universities, including Montpellier, Toulon, Annecy and Le Havre. John plays the saxophone at a level where he can only get better.