Please note: In order to keep Hive up to date and provide users with the best features, we are no longer able to fully support Internet Explorer. The site is still available to you, however some sections of the site may appear broken. We would encourage you to move to a more modern browser like Firefox, Edge or Chrome in order to experience the site fully.

Longitudinal Data Analysis Using Structural Equation Models, Hardback Book

Longitudinal Data Analysis Using Structural Equation Models Hardback

Hardback

Description

When determining the most appropriate method for analyzing longitudinal data, you must first consider what research question you want to answer. In this book, McArdle and Nesselroade identify five basic purposes of longitudinal structural equation modeling.

For each purpose, they present the most useful strategies and models.

Two important but underused approaches are emphasized: multiple factorial invariance over time and latent change scores. The book covers a wealth of models in a straightforward, understandable manner.

Rather than overwhelm the reader with an extensive amount of algebra, the authors use path diagrams and emphasize methods that are appropriate for many uses.

Information

Save 0%

£83.00

£82.79

 
Free Home Delivery

on all orders

 
Pick up orders

from local bookshops

Information