On the Merits of Orthogonalizing Powered and Product Terms: Implications for Modeling Interactions Among Latent Variables

By T. Little, James A. Bovaird, K. Widaman. 2006

803 citations recorded by the source corpus.

Subfields: Experimental and Cognitive Psychology, Statistics and Probability

View Paper: https://www.semanticscholar.org/paper/67038545ee658d850fcd8fd10d44e3c602f0b3cf

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In Experimental and Cognitive Psychology

In Statistics and Probability

Citations in the corpus

Does financial resource slack drive sustainability expenditure in developing economy small and medium-sized enterprises? (2017, methodology): “To attenuate for potential multicollinearity problems due to interactive terms in the structural model, all variables involved in multiplicative interactions were orthogonalized following the procedure recommended by Little, Bovaird, and Widaman (2006).”
Age, resistance to change, and job performance (2013, methodology): “The interaction hypotheses were tested by applying the orthogonal-centering procedure described by Little et al. (2006).”
Shared Family Identity, Age Salience, and Intergroup Contact: Investigation of the Grandparent–Grandchild Relationship (2006, background): “Parcels are preferred over item-level data due to psychometric characteristics of items (e.g., lower reliability, greater likelihood of distributional violations; Little et al., 2002; MacCallum & Austin, 2000).”
Job insecurity, recovery and well-being at work: Recovery experiences as moderators (2010, methodology): “In calculating the interaction terms, we used orthogonalizing product terms (Little et al., 2006) in order to avoid multicollinearity (i.e. high correlations between interaction terms and original variables).”
Estimating Latent Variable Interactions with the Unconstrained Approach: A Comparison of Methods to Form Product Indicators for Large, Unequal Numbers of Items (2011, methodology): “An alternative two-stage strategy known as residual-centering can also be used (Little et al., 2006).”
In Peer Matters, Teachers Matter: Peer Group Influences on Students’ Engagement Depend on Teacher Involvement (2017, methodology): “The moderated model (see Figure 1), which was tested using the orthoganilizing procedure described by Little, Bovaird, and Widaman (2006), showed good fit to the data, χ2(203) = 188.302, p = .763; CMIN/DF = .928, CFI = 1.000, RMSEA = .000 C.I.= .000 to .017.”
Whether highly curious students thrive academically depends on perceptions about the school learning environment: A study of Hong Kong adolescents (2007, background): “interactions (e.g., Little et al. 2006; Marsh et al. 2004).”
Estimating and interpreting latent variable interactions: A tutorial for applying the latent moderated structural equations method (2014, background): “, ordinary least squares regression), latent variable approaches, such as LMS, produce estimates of interactions that are unattenuated by measurement error, which serves to increase a study’s power and reduce the likelihood of biased estimates (Busemeyer & Jones, 1983; Little et al., 2006).”