Class/Title/Content
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Readings and Assignments
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1. Concept development and concept definitions
- Role of concept development in measurement; importance of defining concept prior to selecting measures
- Complexity of most concepts, how to define and depict multidimensional concepts
- Methods for developing and specifying concepts
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Class 1: Slides
Class 1 Readings
- Stewart AL, Nápoles-Springer A., Pérez-Stable EJ, Posner S, Bindman AB, Pinderhughes HL, and Washington AE.Interpersonal processes of care in diverse populations. Milbank Quarterly. 1999;77:305-339. PMC2751132
- Mehling WE, Gopisetty V, Daubenmier J, Price CJ, Hecht FM, and Stewart A. Body awareness: construct and self-report measures. PLoS ONE 2009:4(5): e5614. PMC2680990
- Vogt DS, King DW, and King LA. Focus groups in psychological assessment: enhancing content validity by consulting members of the target population. Psychological Assessment. 2004;16:231-243. PMID: 15456379
Class 1 Handouts
- Using focus groups to develop structured surveys – annotated bibliography
- Matrix template for reviewing measures
- Measures compilations
Corresponding task on review matrix: Define concept you are interested in measuring from your own point of view including its dimensions. Record in “concept” box at the top of the matrix. |
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2. Measurement terminology and locating specific measures
- Measurement terminology and jargon - confusion, variation, and overlap
- Items and response scales - things to pay attention to in items
- Locating existing measures and finding literature on measurement properties
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Class 2: Slides
Class 2 Readings: None
Class 2 Handouts
- Measures compilations and reviews – annotated bibliography
- CADC measures resources
Corresponding task on review matrix: Locate 1 or 2 measures/instruments that assess your concept. For each one, list name of instrument/measure and citation for original publication (row 1 of matrix) |
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3. Methods of developing new measures and how to select measures for your study
- Process of developing new measures
- Rationale for multi-item measures (scales)
- Scale construction methods - multitrait scaling and factor analysis
Steps in choosing appropriate measures for your study and selection criteria (including permission to use m_easures) |
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Class 3: Slides
Class 3 Readings
- Stewart AL, Hays RD, Ware JE, Jr. Methods of constructing health measures. In: Stewart AL, Ware JE, Jr. eds. Measuring Functioning and Well-being: The Medical Outcomes Study Approach. Durham NC: Duke University Press; 1992: read pages 67-80 (scale construction).
- Bibliography for Chapter 3.
- Switzer GE, Wisniewski SR, Belle SH, Dew MA, Schultz R. Selecting, developing, and evaluating research instruments. Social Psychiatry and Psychiatric Epidemiology. 1999;34. PMID: 10501709 Read pages 399-404.
Corresponding task on review matrix: Complete rows 2-12 on the matrix.
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4. Basic psychometric characteristics (variability, reliability, and interpretability)
- Concepts of error, sources of error and bias in measures
- Indicators of variability, reasons for poor variability
- Indicators of reliability
- Interpretability of scores
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Class 4: Slides
Class 4 Readings
- Stewart AL, Hays RD, Ware JE, Jr. Methods of constructing health measures (same chapter as in class 3). Read pages 81-85 (reliability).
Corresponding task on review matrix: Complete rows 13-19 (interpretability, nature of samples on which it has been tested, variability and central tendency, and reliability). |
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5. Additional psychometric characteristics (validity and bias, responsiveness and sensitivity to change)
- Types of validity in health assessment, focus on construct validity
- How bias affects validity; sources of bias
- Sensitivity and responsiveness to change
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Class 5: Slides
Class 5 Readings
- Stewart AL, Hays RD, Ware JE, Jr. Methods of validating health measures. In: Stewart AL, Ware JEJ, eds. Measuring Functioning and Well-being: The Medical Outcomes Study Approach. Durham NC: Duke University Press; 1992. 309-324.
- NOTE: bibliography at end of readings for class 3.
- Sechrest L. Validity of measures is no simple matter. Health Services Research, 2005;40(5):1584-1604. PMC1361215
- Farivar SS, Liu H, and Hays RD. Half standard deviation estimate of the minimally important difference in HRQOL scores? Expert Review of Pharmacoeconomics & Outcomes Research. 2004;4(5):515-523.
Corresponding task on review matrix: Complete rows 20-26 (validity, responsiveness/sensitivity to change, scoring and costs). |