000 | 01231nam a22002057a 4500 | ||
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999 |
_c946 _d946 |
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005 | 20210127140146.0 | ||
008 | 210127b ||||| |||| 00| 0 eng d | ||
020 | _a9780761924975 | ||
082 |
_a519.536 _bALL |
||
100 |
_aAllison, Paul D. _92274 |
||
245 | _aFixed effects regression models | ||
260 |
_bSage Publications, Inc. _aBeverly Hills _c2009 |
||
300 | _a123 p. | ||
365 |
_aUSD _b30.00 |
||
490 | _aQuantitative applications in the social sciences | ||
520 | _aDescription This book will show how to estimate and interpret fixed-effects models in a variety of different modeling contexts: linear models, logistic models, Poisson models, Cox regression models, and structural equation models. Both advantages and disadvantages of fixed-effects models will be considered, along with detailed comparisons with random-effects models. Written at a level appropriate for anyone who has taken a year of statistics, the book will be appropriate as a supplement for graduate courses in regression or linear regression as well as an aid to researchers who have repeated measures or cross-sectional data. | ||
650 |
_aSocial sciences--Statistical methods _91897 |
||
650 |
_aRegression analysis _92357 |
||
942 |
_2ddc _cBK |