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POLAC: a Computer Program to Compute Auto-, Cross-Lagged, and Pooled Within-Cell Correlations
Educational and Psychological Measurement, 1972Abstract : Program POLAC computes auto- and cross-lag intercorrelation. The program independently computes lagged correlation matrices for any number of treatment conditions (cells) and then computes a pooled within cell lagged intercorrelation matrix based on all cells.
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Educational and Psychological Measurement, 1982
The cross-lagged correlation technique (CLC) for assessing causality from passive observational data has been the subject of much recent criticism. CLC compares cross correlations between variables across time points of measurement and attributes differences in correlations to causal effects.
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The cross-lagged correlation technique (CLC) for assessing causality from passive observational data has been the subject of much recent criticism. CLC compares cross correlations between variables across time points of measurement and attributes differences in correlations to causal effects.
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Journal of Affective Disorders
Learning burnout as a serious psychological distress problem among adolescents during the COVID-19 pandemic was investigated using the cross-lagged panel network models.A three-wave study using a sample of 11 to 18-year-olds in China was conducted, with baseline data collected in June 2020 (n = 4156) and follow-ups in December 2020 (n = 3209) and ...
Yuecui, Kan +12 more
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Learning burnout as a serious psychological distress problem among adolescents during the COVID-19 pandemic was investigated using the cross-lagged panel network models.A three-wave study using a sample of 11 to 18-year-olds in China was conducted, with baseline data collected in June 2020 (n = 4156) and follow-ups in December 2020 (n = 3209) and ...
Yuecui, Kan +12 more
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2014
While choosing from cross-sectional, longitudinal, and experimental designs, the marketing researcher faces a problem of trade-off between causal interpretability and the commitment required from subjects. It is argued here that a carefully designed cross-lagged correlation methodology may provide the best alternative in most situations.
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While choosing from cross-sectional, longitudinal, and experimental designs, the marketing researcher faces a problem of trade-off between causal interpretability and the commitment required from subjects. It is argued here that a carefully designed cross-lagged correlation methodology may provide the best alternative in most situations.
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Technical Notes Cross-Lagged Panel Correlation Analysis
Western Journal of Nursing Research, 1988Pamela G. Reed, Joyce A. Verran
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Cross-lagged panel correlation: Practice and promise.
Journal of Applied Psychology, 1979David A. Kenny, Judith M. Harackiewicz
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Applied Psychology: Health and Well-Being
Abstract Few studies have investigated the longitudinal correlations among negative life events, a sense of security, and internet addiction (IA). The aim of the present study was to test these correlations in Chinese university freshmen.
Yu Tian, Hongjun Ding, Yanfang Li
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Abstract Few studies have investigated the longitudinal correlations among negative life events, a sense of security, and internet addiction (IA). The aim of the present study was to test these correlations in Chinese university freshmen.
Yu Tian, Hongjun Ding, Yanfang Li
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A simplex process model for describing differences between cross-lagged correlations.
Psychological Bulletin, 1979Lloyd G. Humphreys, Charles K. Parsons
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The causality of causal attributions in depression: A cross-lagged panel correlational analysis.
Journal of Abnormal Psychology, 1981S, Golin, P D, Sweeney, D E, Shaeffer
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