Amazon cover image
Image from Amazon.com

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

By: Material type: TextTextPublisher: Los Angeles ; London : SAGE, 2018Copyright date: ©2018Description: xvi, 456 pages : illustrations ; 25 cmContent type:
  • text
Media type:
  • unmediated
Carrier type:
  • volume
ISBN:
  • 9781446269824
Other title:
  • Statistical methods for the social and behavioural sciences
Subject(s): Genre/Form: DDC classification:
  • 001.422 23
LOC classification:
  • HA29 .F56 2018
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
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.
Tags from this library: No tags from this library for this title. Log in to add tags.
Star ratings
    Average rating: 0.0 (0 votes)
Holdings
Item type Current library Call number Status Date due Barcode
Book Book Indian Institute of Management Visakhapatnam 001.422 (Browse shelf(Opens below)) Available 001845

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

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.

There are no comments on this title.

to post a comment.

Copyright © 2021 Indian Institute of Management Visakhapatnam
Koha v20.05