Questionable prospective decreasing effect of internet use on depression: A simulated reanalysis and comment on Liu et al. (2024) DOI Open Access
Kimmo Sorjonen, Bo Melin

Опубликована: Июнь 10, 2024

Based on findings from analyses with cross-lagged panel models, Liu et al. (2024) concluded that internet use can prevent depression among older adults. Here, we simulated data to resemble the used by We triangulation and fitted complementary models found contradicting decreasing, increasing, null effects of initial subsequent change in depressive symptoms. These divergent suggest it is premature assume a decreasing effect conclusion this regard be challenged. It important for researchers aware correlations, including adjusted effects, do not prove causality order overinterpret findings, something appears have happened recommend triangulate fitting their evaluate if observed may due true causal or they appear spurious.

Язык: Английский

Triangulation does not support reported prospective effects on work engagement: Simulated reanalyses of twelve cross-lagged panel models DOI Open Access
Kimmo Sorjonen, Filippa Folke, Bo Melin

и другие.

Опубликована: Май 17, 2024

Studies using cross-lagged panel models (CLPM) have shown prospective effects of initial scores on various predictors, e.g., job control and depressive symptoms, subsequent work engagement when adjusting for engagement. However, it is well established that may be spurious due to correlations with residuals regression the mean. Here, we reanalyzed data simulated resemble in twelve studies CLPM, suggesting increasing/decreasing Through triangulation, show all these suggested appear been rather than truly increasing/decreasing. Researchers need aware correlations, including models, do not prove causality. For improved causal inference, recommend researchers triangulate scrutinize by fitting complementary their data.

Язык: Английский

Процитировано

1

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

Inconclusive prospective effect of sleep delay on problematic smartphone use: A simulated reanalysis and comment on Zhao et al. (2024) DOI Open Access
Kimmo Sorjonen, Bo Melin

Опубликована: Июнь 11, 2024

Based on findings from analyses with cross-lagged panel models, Zhao et al. (2024) concluded that sleep delay may increase problematic smartphone use (PSU). Here, we simulated data to resemble the used by We triangulation and fitted complementary models found contradicting increasing decreasing effects of initial subsequent change in PSU. These divergent suggest it is premature assume an effect PSU conclusion this regard can be challenged. It important for researchers aware correlations, including adjusted effects, do not prove causality order overinterpret findings, something appears have happened recommend triangulate fitting their evaluate if observed due true causal or they appear spurious.

Язык: Английский

Процитировано

0

Detecting spurious effects in cross-lagged panel models: Triangulation is not a valid test DOI
Richard E. Lucas, Rebekka Weidmann, Mark J. Brandt

и другие.

European Journal of Personality, Год журнала: 2024, Номер unknown

Опубликована: Ноя. 1, 2024

The cross-lagged panel model (CLPM) is an analytic technique used to examine the reciprocal causal effects of two or more variables assessed on occasions. Although widely used, CLPM has been criticized for relying implausible assumptions, violation which can often lead biased estimates effects. Recently, a triangulation method proposed identify spurious in simple analyses (e.g., Sorjonen, Melin, & 2024). We use simulations and discussion formulas underlying regression coefficients show that this does not provide valid indicator spuriousness. This identifies true as realistic situations should be diagnose whether effect estimated from not. There are clear reasons doubt CLPM, but results do add information about such spurious.

Язык: Английский

Процитировано

0

Spurious prospective effect of physical activity on problematic smartphone use: A simulated reanalysis and comment on Zhao et al. (2024) DOI Open Access
Kimmo Sorjonen, Bo Melin

Опубликована: Июнь 10, 2024

Based on findings from analyses with cross-lagged panel models, Zhao et al. (2024) concluded that physical activity can reduce problematic smartphone use (PSU) among adolescents. Here, we simulated data to resemble the used by We triangulation and fitted complementary models found contradicting decreasing, increasing, null effects of initial subsequent change in PSU. These divergent suggest it is premature assume a decreasing effect PSU conclusion this regard be challenged. It important for researchers aware correlations, including adjusted effects, do not prove causality order overinterpret findings, something appears have happened recommend triangulate fitting their evaluate if observed may due true causal or they appear spurious.

Язык: Английский

Процитировано

0

Questionable prospective decreasing effect of internet use on depression: A simulated reanalysis and comment on Liu et al. (2024) DOI Open Access
Kimmo Sorjonen, Bo Melin

Опубликована: Июнь 10, 2024

Based on findings from analyses with cross-lagged panel models, Liu et al. (2024) concluded that internet use can prevent depression among older adults. Here, we simulated data to resemble the used by We triangulation and fitted complementary models found contradicting decreasing, increasing, null effects of initial subsequent change in depressive symptoms. These divergent suggest it is premature assume a decreasing effect conclusion this regard be challenged. It important for researchers aware correlations, including adjusted effects, do not prove causality order overinterpret findings, something appears have happened recommend triangulate fitting their evaluate if observed may due true causal or they appear spurious.

Язык: Английский

Процитировано

0