Experimentally established expected effects in random-intercept cross-lagged panel models when causality holds DOI Open Access
Kimmo Sorjonen, Bo Melin

Опубликована: Май 28, 2024

There are indications that findings from random-intercept cross-lagged panel models (RI-CLPM) may be biased and spurious, similarly to traditional models. The objective of the present study was establish what effects expect in analyses with RI-CLPM when causality holds. We generated experimental data truly causal by estimating weight a container after adding or removing stones to/from container. Data were analyzed three complementary RI-CLPMs as well corresponding multilevel model (MLM) person-mean centered scores. results suggested if prior level on predictor X has within-individual increasing effect an outcome Y, we should show has: (1) A positive subsequent Y adjusting for Y; (2) negative (3) - difference. Corresponding scores MLM yield similar effects. In case decreasing effects, opposite signs (i.e., negative, positive, respectively). These experimentally established expected holds can help researchers triangulate scrutinize order observed might they appear spurious.

Язык: Английский

Inconclusive effects between executive functions and symptoms of psychiatric disorders in random-intercept cross-lagged panel models: A simulated reanalysis and comment on Halse et al. (2022) DOI Open Access
Kimmo Sorjonen, Bo Melin

Опубликована: Апрель 23, 2024

In a recent study of Norwegian children (N = 874), Halse et al. (2022) used random-intercept cross-lagged panel models (RI-CLPM) and concluded that their findings supported the assumption deficiencies in executive functions psychopathology are both cause consequence other. Here, we reanalyzed data simulated to resemble by with several complementary models. Our contradictory simultaneous increasing decreasing effects suggested prospective between deficits symptoms were spurious rather than truly increasing. Consequently, conclusions not own data. It is important for researchers bear mind correlations, including RI-CLPM, do prove causality. We recommend use, as did here, triangulation scrutinize from analyses observational

Язык: Английский

Процитировано

0
Experimentally established expected effects in random-intercept cross-lagged panel models when causality holds DOI Open Access
Kimmo Sorjonen, Bo Melin

Опубликована: Май 28, 2024

There are indications that findings from random-intercept cross-lagged panel models (RI-CLPM) may be biased and spurious, similarly to traditional models. The objective of the present study was establish what effects expect in analyses with RI-CLPM when causality holds. We generated experimental data truly causal by estimating weight a container after adding or removing stones to/from container. Data were analyzed three complementary RI-CLPMs as well corresponding multilevel model (MLM) person-mean centered scores. results suggested if prior level on predictor X has within-individual increasing effect an outcome Y, we should show has: (1) A positive subsequent Y adjusting for Y; (2) negative (3) - difference. Corresponding scores MLM yield similar effects. In case decreasing effects, opposite signs (i.e., negative, positive, respectively). These experimentally established expected holds can help researchers triangulate scrutinize order observed might they appear spurious.

Язык: Английский

Процитировано

0