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Open-source data and scripts for R and Mplus for comparing cross-lagged models

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Evidence · 4 claims (4 for) · 2 studies (1 review, 1 associational), q2 · 0 of 2 report an effect size · 4 claims rest on one study

Description

A reusable release of educational research data, technical notes, and analysis scripts for comparing cross-lagged models, provided by Fernando Núñez-Regueiro and colleagues.

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Key Sources

  • Fernando Núñez-Regueiro, Jacques Juhel, Pascal Bressoux, Cécile Nurra. (2021). Identifying Reciprocities in School Motivation Research: A Review of Issues and Solutions Associated With Cross-Lagged Effects Models. Journal of Educational Psychology, 114 (5), pp.945-965. https://doi.org/10.1037/edu0000700
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Field Value
type product
id open-source-data-and-scripts-for-r-and-mplus-for-comparing-cross-lagged-models
title Open-source data and scripts for R and Mplus for comparing cross-lagged models
description A reusable release of educational research data, technical notes, and analysis scripts for comparing cross-lagged models, provided by Fernando Núñez-Regueiro and colleagues.
status review
product_kind dataset
generated by process:settle-candidates on 2026-10-24
trust unverified — no one has confirmed this page's content

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