nonlinear factor
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2020 ◽  
Vol 41 (3) ◽  
pp. 367-386
Author(s):  
Degui Li ◽  
Jiraroj Tosasukul ◽  
Wenyang Zhang

Author(s):  
Mingli Chen ◽  
Iván Fernández-Val ◽  
Martin Weidner

2020 ◽  
Author(s):  
Meriah Lee DeJoseph ◽  
Robin Sifre ◽  
Cybele Raver ◽  
Clancy B. Blair ◽  
Daniel Berry

Income, education, and cumulative-risk indices likely obscure meaningful heterogeneity in the mechanisms through which poverty impacts child outcomes. The present study draws from contemporary theory to specify multiple dimensions of poverty-related adversity and resources, with the aim of better capturing these nuances. Using data from the Family Life Project (N=1,292), we leveraged moderated nonlinear factor analysis (MNLFA; Bauer, 2017) to establish group- and longitudinally-invariant environmental measures from infancy to early adolescence. Results indicated three latent factors—material deprivation, psychosocial threat, and sociocognitive resources—were distinct from each other and from family income. Each was largely invariant across site, racial group, and development and showed convergent and discriminate relations with age-twelve criterion measures. Implications for ensuring socioculturally-valid measurements of poverty are discussed.


2019 ◽  
Vol 212 (1) ◽  
pp. 4-25 ◽  
Author(s):  
Torben G. Andersen ◽  
Nicola Fusari ◽  
Viktor Todorov ◽  
Rasmus T. Varneskov

2019 ◽  
Vol 94 ◽  
pp. 65-73 ◽  
Author(s):  
Nisha C. Gottfredson ◽  
Veronica T. Cole ◽  
Michael L. Giordano ◽  
Daniel J. Bauer ◽  
Andrea M. Hussong ◽  
...  

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