Journal Articles

Testing Mediation Using Multiple Regression and Structural Equation Modeling Analyses in Secondary Data

---

Mediation analysis in child and adolescent development research is possible using large secondary data sets. This article provides an overview of two statistical methods commonly used to test mediated effects in secondary analysis: multiple regression and structural equation modeling (SEM). Two empirical studies are presented to illustrate the respective circumstances in which the two methods are most useful. One study examines the mediated effect of parents' social capital on parent involvement in Head Start programs through parent-child bond. The other study assesses the mediating effects of structured routine activities, delinquent association, and prosocial belief on the relationship between religiosity and juvenile delinquency.

---

Availability

No copy data

Detail Information

Series Title

Evaluation Review

Call Number

-

Publisher

Thousand Oak : sage publisher., 2011

Collation

-

Language

English

ISBN/ISSN

0193841X

Classification

-

Content Type

-

Media Type

-

Carrier Type

-

Edition

Vol. 35 no. 3, June 2011,pp. 240-268

Subject(s)

structural equation modeling
multiple regression
Testing Mediation Using Multiple Regression
Indirect effect
Parent involvement

Specific Detail Info

-

Statement of Responsibility

-

Other version/related

File Attachment

Comments

---

You must be logged in to post a comment