Introduction
Acknowledgements
PART 1: INTRODUCTORY STATISTICS
1. Do You See What I Mean? Indices of Central Tendency
2. Maintaining Standards: Differences Between the Standard Deviation and Standard Error, and When to Use Each
3. Breaking Up is Hard to Do: The Heartbreak of Dichotomizing Continuous Data
4. Pick a Number: Sample Size and Power in Psychiatric Research
5. Speaking Graphically: An Introduction to Some Newer Graphing Techniques
6. Let Me Count the Ways: Measuring Incidences, Prevalence, and Impact in Epidemiological Studies
7. Risky Business: Making Sense of Estimates of Risk
PART 2: MORE ADVANCED STATISTICS
8. The Case of the Missing Data: Methods of Dealing with Dropouts and Other Research Vagaries
9. An Introduction to Multivariate Statistics
10. Figuring Out Factors: The Use and Misuse of Factor Analysis
11. Regression in the Service of the Superego: The Do’s and Don’ts of Stepwise Multiple Regression
12. Regression Toward the Mean: Its Etiology, Diagnosis, and Treatment
13. Stayin’ Alive: An Introduction to Survival Analysis
14. Life After Chi-Squared: An Introduction to Log-Linear Analysis
15. Confronting the Confounders: The Meaning, Detection, and Handling of Confounders in Research
16. Finding Our Way: An Introduction to Path Analysis
17. Building a Better Model: An Introduction to Structural Equation Modelling
18. Unicorns Do Exist: A Tutorial on “Proving” the Null Hypothesis
PART 3: RESEARCH METHODS
19. Reconcilable Differences: The Marriage of Qualitative and Quantitative Methods
20. Thinking Small: Research Designs Appropriate for Clinical Practice
21. The Two “Es” of Research: Efficacy and Effectiveness Trials
PART 4: MEASUREMENT
22. A Checklist for Evaluating the Usefulness of Rating Scales
23. Learning How to Differ: Agreement and Reliability Statistics
24. What’s Under the ROC? An Introduction to Receiver Operating Characteristic Curves
25. Measure for Measure: New Developments in Measurement and Item Response Theory
PART 5: MISCELLANEOUS
26. Putting it All Together: Using Meta-Analysis in Psychiatric Research
27. “While You’re Up, Get Me a Grant”: A Guide to Grant Writing
28. A Shortcut to Rejection: How Not to Write the Results Section of a Paper
INDEX
'In A Guide for the Statistically Perplexed, David L. Streiner delivers an overview of core methodological issues that every health researcher needs to know. It will get a warm reception from teachers and students alike, as Streiner has a special way of communicating scientific methods that is informative, rigorous, and laced with wisdom, but at the same time amusing and a pleasure to read.' -- Stephen C. Newman, Department of Psychiatry, University of Alberta
David L. Streiner is a professor emeritus in the Department of Psychiatry and Behavioural Neurosciences and the Department of Clinical Epidemiology and Biostatistics at McMaster University, a professor in the Department of Psychiatry at the University of Toronto, and senior scientific editor of Health Reports.
‘An easy to read collection of excellent tutorials on selected
areas of statistics, measurement, and to a lesser extent, research
methods… I can recommend this volume without hesitation.’
*Archives of Women’s Mental Health – June 2013*
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