Multiway Contingency Tables Analysis for the Social Sciences (Record no. 2023)
[ view plain ]
| 000 -LEADER | |
|---|---|
| fixed length control field | 01353 a2200253 4500 |
| 001 - CONTROL NUMBER | |
| control field | 1317784790 |
| 005 - DATE AND TIME OF LATEST TRANSACTION | |
| control field | 20250317100408.0 |
| 008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION | |
| fixed length control field | 250312042014GB eng |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER | |
| International Standard Book Number | 9781317784791 |
| 037 ## - SOURCE OF ACQUISITION | |
| Source of stock number/acquisition | Taylor & Francis |
| Terms of availability | GBP 74.99 |
| Form of issue | BB |
| 040 ## - CATALOGING SOURCE | |
| Original cataloging agency | 01 |
| 041 ## - LANGUAGE CODE | |
| Language code of text/sound track or separate title | eng |
| 072 7# - SUBJECT CATEGORY CODE | |
| Subject category code | JMB |
| Source | thema |
| 072 7# - SUBJECT CATEGORY CODE | |
| Subject category code | JMB |
| Source | bic |
| 072 7# - SUBJECT CATEGORY CODE | |
| Subject category code | PSY000000 |
| Source | bisac |
| 072 7# - SUBJECT CATEGORY CODE | |
| Subject category code | PSY030000 |
| Source | bisac |
| 072 7# - SUBJECT CATEGORY CODE | |
| Subject category code | 519.5 |
| Source | bisac |
| 100 1# - MAIN ENTRY--PERSONAL NAME | |
| Personal name | Thomas D. Wickens |
| 245 10 - TITLE STATEMENT | |
| Title | Multiway Contingency Tables Analysis for the Social Sciences |
| 250 ## - EDITION STATEMENT | |
| Edition statement | 1 |
| 260 ## - PUBLICATION, DISTRIBUTION, ETC. | |
| Place of publication, distribution, etc. | Oxford |
| Name of publisher, distributor, etc. | Psychology Press |
| Date of publication, distribution, etc. | 20140225 |
| 300 ## - PHYSICAL DESCRIPTION | |
| Extent | 438 p |
| 520 ## - SUMMARY, ETC. | |
| Expansion of summary note | This book describes the principles and techniques needed to analyze data that form a multiway contingency table. Wickens discusses the description of association in such data using log-linear and log-multiplicative models and defines how the presence of association is tested using hypotheses of independence and quasi-independence. The application of the procedures to real data is then detailed. This volume does not presuppose prior experience or knowledge of statistics beyond basic courses in fundamentals of probability and statistical inference. It serves as an ideal reference for professionals or as a textbook for graduate or advanced undergraduate students involved in statistics in the social sciences. |
No items available.