A Guide for the Statistically Perplexed : : Selected Readings for Clinical Researchers / / David L. Streiner, Canadian Psychiatric Association.

• Superior document: Title is part of eBook package: De Gruyter University of Toronto Press eBook Package Backlist 2000-2013
• VerfasserIn: Streiner, David L.,; Canadian Psychiatric Association, ,
• Place / Publishing House: Toronto : : University of Toronto Press, , [2020]; ©2012
• Year of Publication: 2020
• Language: English
• Physical Description: 1 online resource (396 p.) :; 50 figures

Do statistics-heavy research papers give you a headache? Are you baffled by bias, confused by correlation, or flummoxed by F-tests? A Guide for the Statistically Perplexed is here to help! This book is designed to assist students, clinicians, and researchers in becoming familiar with statistical and research techniques by covering the essentials of the topic and drawing attention to many common problem areas.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. Streiner delves into topics such as presenting data (or, conversely, how not to), statistical techniques, and more advanced procedures. To help readers detect problems with research design and interpretation, he details important 'CRAP' (convoluted reasoning or anti-intellectual pomposity) detectors for which they should watch out.Even those with little or no background in statistics, measurement theory, or research will come out of A Guide for the Statistically Perplexed with a new understanding and appreciation of these topics.

Table of Contents

Frontmatter -- Contents -- Introduction -- Acknowledgments -- 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 Incidence, Prevalence, and Impact in Epidemiological Studies -- 7 Risky Business: Making Sense of Estimates of Risk -- 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 Dos and Don'ts of Stepwise Multiple Regression -- 12 Regression towards 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 -- 19 Reconcilable Differences: The Marriage of Qualitative and Quantitative Methods -- 20 Thinking Small: Research Designs Appropriate for Clinical Practice -- 21 The Two "E's" of Research: Efficacy and Effectiveness Trials -- 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 -- 26 Putting It All Together: Using Meta-Analysis in Psychiatric Research -- 27 "While you're up, get me a grant": A Guide to Grant Application Writing -- 28 A Short Cut to Rejection: How Not to Write the Results Section of a Paper -- Index