Multiple regression and beyond : an introduction to multiple regression and structural equation modeling / Timothy Z. Keith.
Material type:![Text](/opac-tmpl/lib/famfamfam/BK.png)
- text
- unmediated
- volume
- 9781138061422 (hardback)
- 9781138061446 (pbk.)
- 519.536 23 KEI/M
- HA31.3 .K45 2019
Item type | Current library | Home library | Call number | Status | Date due | Barcode | |
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Dept. of Education New Materials Shelf | Dept. of Education | 519.536 KEI/M (Browse shelf(Opens below)) | Available | EDU19138 |
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519.5 LIT/S Statistical analysis with missing data / | 519.5 WOO/S Statistics in language studies / | 519.52 KAL.I Introduction to survey sampling / | 519.536 KEI/M Multiple regression and beyond : an introduction to multiple regression and structural equation modeling / | 612.8 BEA/I Introduction to neuropsychology / | 612.8233 DEC/M The moral brain : a multidisciplinary perspective / | 612.8233 NEW/R Research methods for cognitive neuroscience / |
Revised edition of the author's Multiple regression and beyond, 2015.
Multiple regression -- Simple bivariate regression -- Multiple regression : introduction -- Multiple regression : more detail -- Three and more independent variables and related issues -- Three types of multiple regression -- Analysis of categorical variables -- Regression with categorical and continuous variables -- Testing for interactions and curves with continuous variables -- Mediation, moderation, and common cause -- Multiple regression: summary, assumptions, diagnostics, power, and problems -- Related methods : logistic regression and multilevel modeling -- Beyond multiple regression : structural equation modeling -- Path modeling : structural equation modeling with measured variables -- Path analysis : assumptions and dangers -- Analyzing path models using sem programs -- Error: the scourge of research -- Confirmatory factor analysis I: -- Putting it all together: introduction to latent variable sem -- Latent variable models II: multigroup models, panel models, dangers & assumptions -- Latent means in SEM -- Confirmatory factor analysis II: invariance and latent means -- Latent growth models -- Latent variable interactions and multilevel models in SEM -- Summary: path analysis, cfa, sem, mean structures, and latent growth models -- Appendices.
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