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Statistical methods for the social & behavioural sciences : a model-based approach / David B. Flora.

By: Material type: TextPublisher: Los Angeles ; London : SAGE, 2018Copyright date: ©2018Description: 1 Online Resource illustrations ; 25 cmContent type:
  • text
Media type:
  • unmediated
Carrier type:
  • volume
ISBN:
  • 9781446269824
  • 1446269825
  • 9781446269831
  • 1446269833
Other title:
  • Statistical methods for the social and behavioural sciences
Subject(s): Genre/Form: DDC classification:
  • 001.4/22 23
LOC classification:
  • HA29 .F56 2018
Online resources:
Contents:
Foundations of statistical modeling demonstrated with simple regression -- Multiple regression with continuous predictors -- Regression with categorical predictors -- Interactions in multiple regression : models for moderation -- Using multiple regression to model mediation and other indirect effects -- Introduction to multilevel modeling -- Basic matrix algebra for statistical modeling -- Exploratory factor analysis -- Structural equation modeling I : Path analysis -- Structural equation modeling II : Latent variable models -- Growth curve modeling https://buku.app/details/12390
Action note:
  • Cataloging Notes: 20251022 STAMIU-0199STAMIU-0199
Summary: Statistical Methods for the Social and Behavioural Sciences: A Model Based Approach is the essential guide for those looking to extend their understanding of the principles of statistics, and begin using the right statistical modeling method for their own data. It is particularly suited to second or advanced courses in statistical methods across the social and behavioural sciences.-- Provided by Publisher.
List(s) this item appears in: Master Health Profession Education (HPE)
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Holdings
Item type Current library Collection Call number URL Status Notes
eBook AMREF INTERNATIONAL UNIVERSITY (AMIU) LIBRARY General Stacks Non-fiction HA29 .F56 2018 (Browse shelf(Opens below)) Link to resource Available Access Online at BUKU Link

Includes bibliographical references (pages 437-445) and index.

Foundations of statistical modeling demonstrated with simple regression -- Multiple regression with continuous predictors -- Regression with categorical predictors -- Interactions in multiple regression : models for moderation -- Using multiple regression to model mediation and other indirect effects -- Introduction to multilevel modeling -- Basic matrix algebra for statistical modeling -- Exploratory factor analysis -- Structural equation modeling I : Path analysis -- Structural equation modeling II : Latent variable models -- Growth curve modeling

https://buku.app/details/12390

Statistical Methods for the Social and Behavioural Sciences: A Model Based Approach is the essential guide for those looking to extend their understanding of the principles of statistics, and begin using the right statistical modeling method for their own data. It is particularly suited to second or advanced courses in statistical methods across the social and behavioural sciences.-- Provided by Publisher.

Cataloging Notes: 20251022 STAMIU-0199STAMIU-0199

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