| 000 | 01353 a2200253 4500 | ||
|---|---|---|---|
| 001 | 1317784782 | ||
| 005 | 20250317100408.0 | ||
| 008 | 250312042014GB eng | ||
| 020 | _a9781317784784 | ||
| 037 |
_bTaylor & Francis _cGBP 74.99 _fBB |
||
| 040 | _a01 | ||
| 041 | _aeng | ||
| 072 | 7 |
_aJMB _2thema |
|
| 072 | 7 |
_aJMB _2bic |
|
| 072 | 7 |
_aPSY000000 _2bisac |
|
| 072 | 7 |
_aPSY030000 _2bisac |
|
| 072 | 7 |
_a519.5 _2bisac |
|
| 100 | 1 | _aThomas D. Wickens | |
| 245 | 1 | 0 | _aMultiway Contingency Tables Analysis for the Social Sciences |
| 250 | _a1 | ||
| 260 |
_aOxford _bPsychology Press _c20140225 |
||
| 300 | _a438 p | ||
| 520 | _bThis 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. | ||
| 999 |
_c2024 _d2024 |
||