Inspired to write on this topic in reaction to mistakes he encountered in actual papers, David L. Streiner uses his trademark sense of humour and light-hearted style to explain complex statistical concepts in lucid, jargon-free language.
Inspired to write on this topic in reaction to mistakes he encountered in actual papers, David L. Streiner uses his trademark sense of humour and light-hearted style to explain complex statistical concepts in lucid, jargon-free language.
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
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
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