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Single-case and small-n experimental designs : a practical guide to randomization tests.
"Randomization tests are not a new idea, but they only became really useful after the advent of fast computing. Making randomization tests accessible to many more potential users by providing the means to use them within familiar statistical software, this book serves as an introduction and pro...
| Clasificación: | Libro Electrónico |
|---|---|
| Autor principal: | |
| Otros Autores: | , , |
| Formato: | Electrónico eBook |
| Idioma: | Inglés |
| Publicado: |
New York, NY :
Routledge Academic,
2012.
|
| Edición: | 2nd ed. / |
| Temas: | |
| Acceso en línea: | Texto completo |
MARC
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| 100 | 1 | |a Dugard, Pat. | |
| 245 | 1 | 0 | |a Single-case and small-n experimental designs : |b a practical guide to randomization tests. |
| 246 | 3 | |a Single-case and small-n designs | |
| 250 | |a 2nd ed. / |b Pat Dugard, Portia File, Jonathan Todman. | ||
| 260 | |a New York, NY : |b Routledge Academic, |c 2012. | ||
| 300 | |a 1 online resource (xiii, 290 pages) : |b illustrations | ||
| 336 | |a text |b txt |2 rdacontent | ||
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| 520 | |a "Randomization tests are not a new idea, but they only became really useful after the advent of fast computing. Making randomization tests accessible to many more potential users by providing the means to use them within familiar statistical software, this book serves as an introduction and provides macros to perform in the familiar environments of SPSS and Excel. Though we expect that the book will still appeal to researchers, we believe the changes in the new edition will make the book an essential aid for graduate and senior undergraduate courses in statistics, data analysis, and/or research methods, taught in departments of psychology (especially clinical or counseling psychology), medicine, nursing, and other health and social sciences"--Provided by publisher. | ||
| 504 | |a Includes bibliographical references and indexes. | ||
| 505 | 0 | |6 880-01 |a Ch 1. Single-case and small-n designs in context -- ch 2. Understanding randomization tests -- ch 3. Obtaining the data : choosing the design -- ch 4. Obtaining the data : implementing the design -- ch 5. Analyzing the data : using the macros -- ch 6. Analyzing the data : wider considerations -- ch 6. Size and power -- ch 7. Going further. | |
| 588 | 0 | |a Print version record. | |
| 590 | |a ProQuest Ebook Central |b Ebook Central Academic Complete | ||
| 650 | 0 | |a Statistical hypothesis testing. | |
| 650 | 0 | |a Experimental design. | |
| 650 | 6 | |a Tests d'hypothèses (Statistique) | |
| 650 | 6 | |a Plan d'expérience. | |
| 650 | 7 | |a PSYCHOLOGY |x Research & Methodology. |2 bisacsh | |
| 650 | 7 | |a EDUCATION |x Experimental Methods. |2 bisacsh | |
| 650 | 7 | |a MEDICAL |x Nursing |x Research & Theory. |2 bisacsh | |
| 650 | 7 | |a MATHEMATICS |x Probability & Statistics |x General. |2 bisacsh | |
| 650 | 7 | |a Experimental design |2 fast | |
| 650 | 7 | |a Statistical hypothesis testing |2 fast | |
| 700 | 1 | |a File, Portia. | |
| 700 | 1 | |a Todman, Jonathan. | |
| 700 | 1 | |a Todman, John B. |t Single-case and small-n experimental designs. | |
| 758 | |i has work: |a Single-case and small-n experimental designs (Text) |1 https://id.oclc.org/worldcat/entity/E39PCGWVvHCHCFTrDJ7fwmKkrC |4 https://id.oclc.org/worldcat/ontology/hasWork | ||
| 776 | 0 | 8 | |i Print version: |a Dugard, Pat. |t Single-case and small-n experimental designs. |b 2nd ed. |d New York, NY : Routledge Academic, 2012 |z 9780415886932 |w (DLC) 2011028087 |w (OCoLC)742512484 |
| 856 | 4 | 0 | |u https://ebookcentral.uam.elogim.com/lib/uam-ebooks/detail.action?docID=957316 |z Texto completo |
| 880 | 0 | 0 | |6 505-01/(S |t chapter six Analyzing the data: Wider considerationsIntroduction: the myth of the random sample -- |t Randomization -- |t Phase designs: response guided intervention -- |t Incomplete randomization -- |t Exercises -- |t chapter seven Size and power -- |t Introduction -- |t Estimating α by sampling the reference set -- |t Size and power: some terminology -- |t Maximizing power -- |t Power of randomization tests -- |t Exercises -- |t chapter eight Going further -- |t Introduction -- |t Other sources of software for randomization tests -- |t Writing your own macros: some general advice -- |t Using parts of our macros to write one of your own: an example -- |t Further reading. |
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