John Mcardle Nesselroade (6 results)

hardcover. Condition: Very Good. Looks new but has one sentence highlighted. Please email for photos. Larger books or sets may require additional shipping charges. Books sent via US Postal.

Condition: New. The authors 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. Num Pages: 424 pages. BIC Classification: JMBT. Category: (G) General (US: Trade). Dimension: 229 x 152 x 28. Weight in Grams: 939. . 2014. 1st Edition. Hardcover. . . . .…

Hardback. Condition: New. 1st. 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.…

Condition: New. In English.

Condition: New. The authors 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. Num Pages: 424 pages. BIC Classification: JMBT. Category: (G) General (US: Trade). Dimension: 229 x 152 x 28. Weight in Grams: 939. . 2014. 1st Edition. Hardcover. . . . . Books ship from the US and Ireland.…

Hardback. Condition: New. 1st. 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.…