Health Measurement Scales [electronic resource] : A practical guide to their development and use
Streiner, David L.
Norman, Geoffrey R.
Oxford : Oxford University Press,
2008.
Clinicians and those in health sciences are frequently called upon to measure subjective states such as attitudes, feelings, quality of life, educational achievement and aptitude, and learning style in their patients. This fourth edition of Health Measurement Scales enables these groups, who often have limited knowledge of statistics, to both develop scales to measure non-tangible health outcomes, and better evaluate and differentiate between existing tools. It covers how the individual items are developed; various biases that can affect responses (eg social desirability, yea-saying, framing);
Description based upon print version of record.
""Cover Page""; ""Title Page""; ""Copyright Page""; ""Dedication""; ""Preface to the Fourth Edition""; ""Preface to the Third Edition""; ""Preface to the Second Edition""; ""Contents""; ""1. Introduction""; ""Searching the literature""; ""Critical review""; ""Empirical forms of validity""; ""The two traditions of assessment""; ""The reduction of measurement error""; ""Summary""; ""2. Basic concepts""; ""The source of items""; ""Generic versus specific scales and the 'fidelity versus bandwidth' issue""; ""Translation""; ""Content validity""; ""3. Devising the items""; ""Introduction""
""Some basic concepts""""Categorical judgements""; ""Continuous judgements""; ""To rate or to rank""; ""Multidimensional scaling""; ""4. Scaling responses""; ""Interpretability""; ""Face validity""; ""Frequency of endorsement and discrimination""; ""Homogeneity of the items""; ""Multifactor inventories""; ""When homogeneity does not matter""; ""Putting it all together""; ""5. Selecting the items""; ""The differing perspectives""; ""Answering questions: the cognitive requirements""; ""Optimizing and satisficing""; ""Social desirability and faking good""; ""Deviation and faking bad""
""Yea-saying or acquiescence""""End-aversion, positive skew, and halo""; ""Framing""; ""Biases related to the measurement of change""; ""Estimates of the prior state - implicit theory of change""; ""Reconciling the two positions""; ""Proxy reporting""; ""Testing the items""; ""6. Biases in responding""; ""Weighting the items""; ""Missing items""; ""Multiplicative composite scores""; ""Transforming the final score""; ""Percentiles""; ""Standard and standardized scores""; ""Normalized scores""; ""Age and sex norms""; ""Establishing cut points""
""Methods based on characteristics of the distribution""""Methods based on judgement""; ""Summary""; ""Absolute methods""; ""Receiver operating characteristic curves""; ""7. From items to scales""; ""Basic concepts""; ""Philosophical implications""; ""Terminology""; ""Defining reliability""; ""Other considerations in calculating the reliability of a test""; ""The observer nested within subject""; ""Multiple observations""; ""Other types of reliability""; ""Different forms of the reliability coefficient""; ""Kappa coefficient versus the ICC""; ""The method of Bland and Altman""
""Issues of interpretation""""Improving reliability""; ""Standard error of the reliability coefficient and sample size""; ""Reliability generalization""; ""The average value of r and α""; ""The variance of the reliability estimates""; ""Combining estimates""; ""Factors affecting the reliability""; ""Summary""; ""8. Reliability""; ""Generalizability theory fundamentals""; ""An Example""; ""The First Step-the ANOVA""; ""Step 2-From ANOVA to G coefficients""; ""Relative vs. Absolute Error""; ""Equivalent for the nested design""; ""Generalizability of an average""
""Step 3 - from G study to D study""
Clinicians and those in health sciences are frequently called upon to measure subjective states such as attitudes, feelings, quality of life, educational achievement and aptitude, and learning style in their patients. This fourth edition of Health Measurement Scales enables these groups, who often have limited knowledge of statistics, to both develop scales to measure non-tangible health outcomes, and better evaluate and differentiate between existing tools. It covers how the individual items are developed; various biases that can affect responses (eg social desirability, yea-saying, framing);
Description based on print version record.
Includes bibliographical references and index.
Health status indicators -- Measurement.
Health surveys.
Medical care -- Evaluation.
Public health -- Evaluation.
Health surveys
Health status indicators
Public health
Medical care
Health Status Indicators
Epidemiologic Methods
Health Surveys
Investigative Techniques
Public Health
Data Collection
Environment and Public Health
Health Care Evaluation Mechanisms
Analytical, Diagnostic and Therapeutic Techniques and Equipment
Quality of Health Care
Health Care
Health Care Quality, Access, and Evaluation
Medical Statistics
Public Health
Health & Biological Sciences