| Description |
1 online resource (911 pages) |
| Series |
Explorations in Mental Health |
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Explorations in mental health series.
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| Contents |
Cover; Half Title; Title Page; Copyright Page; Table of Contents; List of illustrations; Notes on contributors; Preface; List of abbreviations; 1. Quantitative and qualitative methods for psychotherapy research: introduction; Quantitative methods; Measure development; Identifying and analyzing change; The aggregation of research findings via meta-analysis; Qualitative and mixed methods; Methodological developments in qualitative research; Methodological issues in qualitative research; Part I: Quantitative methods; Developing new and improving existing measures |
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2. Increasing measurement precision in psychotherapy research: item response theory and bifactor modelsQuestioning the measurement precision of psychotherapy research; Measurement models; Classical test theory (CTT) and latent trait models; Classical test theory; Latent trait; Item response theory fundamentals; IRT model assumptions; Unidimensionality; Local independence; Monotonicity; IRT basics; Person-item map; Item characteristic curve (ICC); Item information function (IIF); Test information function (TIF); IRT models; Rasch and 1 parameter (1PL) models; Rasch versus 1PL models |
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Two-parameter modelThree- and four-parameter models; Applying IRT to psychotherapy research: example; Example using US commercial health plan data; Sample; Measurement; Item characteristics, sufficiency (bandwidth), and scale dimensionality; Dimensionality; Bifactor Model; Modeling unidimensionality and multidimensionality; Exploratory bifactor analysis; Confirmatory bifactor analysis; Cronbach alpha-coefficient omega; Adequacy of response scale categories; Measurement error; Implications for psychotherapy research; Discussion; Notes |
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3. Multitrait-multimethod analysis in psychotherapy research: new methodological approachesConstruct validation and multimethod assessment; MTMM modeling of interchangeable methods; MTMM modeling of structurally different methods; MTMM modeling in the state-trait framework; Indication and evaluation; Multitrait-multimethod analysis in psychotherapy research; Note; 4. Generalizability theory in psychotherapy research: the impact of multiple sources of variance on the dependability of psychotherapy process ratings; What is G-theory?; Sources of variability; Fixed vs. random effects |
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Crossed vs. nested designRelative vs. absolute decision; G-studies and D-studies; Applied example; Variance components decomposition; Generalizability coefficients; Decision study; Transference interpretations; Maintenance of the treatment frame; Example summary; Discussion; Limitations; Conclusions; Notes; 5. Using functional magnetic resonance imaging in psychotherapy research: a brief introduction to concepts, methods and task selection; Introduction; Testing hypotheses about the brain in psychotherapy research; Rationale for the use of fMRI in psychotherapy research |
| Summary |
In this collection, international contributors come together to discuss how qualitative and quantitative methods can be used in psychotherapy research. The book considers the advantages and disadvantages of each approach, and recognises how each method can enhance our understanding of psychotherapy. Divided into two parts, the book begins with an examination of quantitative research and discusses how we can transfer observations into numbers and statistical findings. Chapters on quantitative methods cover the development of new findings and the improvement of existing findings, identi |
| Notes |
Issues in FMRI data collection and analysis |
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Print version record |
| Form |
Electronic book
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| Author |
Knox, Sarah
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| ISBN |
9781136733789 |
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1136733787 |
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