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Item Details
| Title:
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DESIGN AND ANALYSIS OF SINGLE CASE RESEARCH
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| By: |
Ronald D. Franklin (Editor), David B. Allison (Editor), Bernard S. Gorman (Editor) |
| Format: |
Hardback |
| List price:
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£135.00 |
| Our price: |
£121.50 |
| Discount: |
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| You save:
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£13.50 |
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| ISBN 10: |
0805816186 |
| ISBN 13: |
9780805816181 |
| Availability: |
Reprinting. This item may be subject to delays or cancellation.
 Delivery
rates
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| Stock: |
Currently 0 available |
| Publisher: |
TAYLOR & FRANCIS INC |
| Pub. date: |
1 December, 1996 |
| Pages: |
416 |
| Description: |
This text focuses on the intensive study of people measured one or more at a time, detailing important historical material. It also deals with practical contemporary problems in psychology and documents the increased possibility of using clinical research tools. |
| Synopsis: |
This book focuses on one important aspect of psychological research -- the intensive study of people measured one or more at a time. Some important historical material is detailed in several chapters making a strong connection to previous material in psychology. Several contributors present important details on classical and novel methods to study behavior over time, and they do so in the context of appropriate statistical methods. This appropriately reflects the growing interest in examining dynamic behaviors by objective measurement. Key experimental design principles are expertly stated, reflecting the growing interest in studying the individual course of development for invariants in behaviors, including some unusual constructs such as cycles and punctuated equilibria. This book also deals with practical contemporary problems in psychology and documents the increased possibility of using clinical research tools. Taken as a whole, this volume is filled with interesting historical points, informative mathematical and statistical analyses, and practical methods.It is the only book addressing the issues of meta-analysis, cyclicity, and confounds to visual inspection of single subject data that considers ways in which statistical software can aid in overcoming these constraints. |
| Illustrations: |
Illustrations |
| Publication: |
US |
| Imprint: |
Lawrence Erlbaum Associates Inc |
| Returns: |
Returnable |
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