What question did this study set out to answer?

To provide a comprehensive overview and clarify common misunderstandings regarding grand mean and group mean centering of Level 1 predictors in two-level multilevel models.

January 1, 2007Psychological Methods

Centering predictor variables in cross-sectional multilevel models: A new look at an old issue.

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Authors

CECraig K. EndersUniversity of California, Los Angeles DTDavood TofighiUniversity of New Mexico

Discussion

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Implication

Methodological analysis demonstrates how grand and group mean centering alter parameter interpretation in multilevel models, highlighting guidelines for cross-sectional research.

Key Points

To provide a comprehensive overview and clarify common misunderstandings regarding grand mean and group mean centering of Level 1 predictors in two-level multilevel models.
Examined mathematical and substantive distinctions between grand mean centering and group mean centering within prototypical research designs.
Conducted empirical demonstrations using simulated artificial datasets to illustrate changes in intercept and slope parameter interpretations.
Demonstrated that the selection between grand mean and group mean centering fundamentally changes the substantive definition and numerical estimates of both intercept and slope parameters.
Established a framework of practical recommendations to guide researchers in aligning centering decisions with specific theoretical and substantive hypotheses.

Cite This Study

Enders et al. (2007) studied this question.

synapsesocial.com/papers/69d6c286a0177bf533ed8d56 https://doi.org/10.1037/1082-989x.12.2.121

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January 1, 2007Psychological Methods

Centering predictor variables in cross-sectional multilevel models: A new look at an old issue.

View Full Paper

Ask AI

Bookmark

Authors

CECraig K. EndersUniversity of California, Los Angeles DTDavood TofighiUniversity of New Mexico

Discussion

Member takes

Implication

Methodological analysis demonstrates how grand and group mean centering alter parameter interpretation in multilevel models, highlighting guidelines for cross-sectional research.

Key Points

To provide a comprehensive overview and clarify common misunderstandings regarding grand mean and group mean centering of Level 1 predictors in two-level multilevel models.
Examined mathematical and substantive distinctions between grand mean centering and group mean centering within prototypical research designs.
Conducted empirical demonstrations using simulated artificial datasets to illustrate changes in intercept and slope parameter interpretations.
Demonstrated that the selection between grand mean and group mean centering fundamentally changes the substantive definition and numerical estimates of both intercept and slope parameters.
Established a framework of practical recommendations to guide researchers in aligning centering decisions with specific theoretical and substantive hypotheses.

Cite This Study

Enders et al. (2007) studied this question.

synapsesocial.com/papers/69d6c286a0177bf533ed8d56 https://doi.org/10.1037/1082-989x.12.2.121

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