David L Streiner, Canadian Psychiatric Association
Guide to the Statistically Perplexed
Selected Readings for Clinical Researchers
David L Streiner, Canadian Psychiatric Association
Guide to the Statistically Perplexed
Selected Readings for Clinical Researchers
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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.
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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.
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Hinweis: Dieser Artikel kann nur an eine deutsche Lieferadresse ausgeliefert werden.
Produktdetails
- Produktdetails
- Verlag: University of Toronto Press
- Seitenzahl: 396
- Erscheinungstermin: 14. Januar 2013
- Englisch
- Abmessung: 230mm x 154mm x 27mm
- Gewicht: 642g
- ISBN-13: 9781442613539
- ISBN-10: 144261353X
- Artikelnr.: 36757742
- Herstellerkennzeichnung
- Libri GmbH
- Europaallee 1
- 36244 Bad Hersfeld
- 06621 890
- Verlag: University of Toronto Press
- Seitenzahl: 396
- Erscheinungstermin: 14. Januar 2013
- Englisch
- Abmessung: 230mm x 154mm x 27mm
- Gewicht: 642g
- ISBN-13: 9781442613539
- ISBN-10: 144261353X
- Artikelnr.: 36757742
- Herstellerkennzeichnung
- Libri GmbH
- Europaallee 1
- 36244 Bad Hersfeld
- 06621 890
By David L. Streiner
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
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
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