A Guide for the Statistically Perplexed: Selected Readings for Clinical Researchers

By David L. Streiner

© 2013

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.

Continue Reading Read Less

Product Details

  • World Rights
  • Page Count: 396 pages
  • Dimensions: 6.0in x 0.9in x 9.1in
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Quick Overview

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.

A Guide for the Statistically Perplexed: Selected Readings for Clinical Researchers

By David L. Streiner

© 2013

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.

Continue Reading Read Less

Product Details

  • World Rights
  • Page Count: 396 pages
  • Dimensions: 6.0in x 0.9in x 9.1in
  • Reviews

    ‘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.’
    Ryan J. Van Lieshout
    Archives of Women’s Mental Health – June 2013

    ‘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
  • Author Information

    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.

  • Table of contents

    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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