sj-inp-13-hpq-10.1177_13591053211021651 – for Decreased COVID-related adaptive behavior and increased negative affect: A multivariate latent growth curve model

Name: sj-inp-13-hpq-10.1177_13591053211021651 – for Decreased COVID-related adaptive behavior and increased negative affect: A multivariate latent growth curve model
Creator: SAGE Journals
Published: 2021-06-19T12:16:44+08:00

DataCite Commons2024-08-28 更新2025-04-16 收录

COVID-19研究

潜在曲线模型

数据链接：

https://sage.figshare.com/articles/dataset/sj-inp-13-hpq-10_1177_13591053211021651_for_Decreased_COVID-related_adaptive_behavior_and_increased_negative_affect_A_multivariate_latent_growth_curve_model/14811476/1 数据链接链接失效反馈

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资源简介：

sj-inp-13-hpq-10.1177_13591053211021651 for Decreased COVID-related adaptive behavior and increased negative affect: A multivariate latent growth curve model by Hai-Ping Liao, Xiao-Fu Pan, Xue-Qin Yin, Ya-Fei Liu, Jie-Yang Li and Jin-Liang Wang in Journal of Health Psychology

数据集sj-inp-13-hpq-10.1177_13591053211021651 对应研究《新冠相关适应性行为下降与负性情感（negative affect）上升：一项多变量潜增长曲线模型（multivariate latent growth curve model）研究》，作者为廖海平、潘晓富、殷雪琴、刘亚飞、李杰阳与王金良，发表于《健康心理学杂志（Journal of Health Psychology）》

提供机构：

SAGE Journals

创建时间：

2021-06-19