A psychometric evaluation of the Marijuana Problems Index among college students: Confirmatory factor analysis and measurement invariance by gender.

A psychometric evaluation of the Marijuana Problems Index among college students: Confirmatory factor analysis and measurement invariance by gender.
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DOI:
10.1037/pha0000531
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发表时间:
2022-12
影响因子:
2.3
通讯作者:
Knapp, Ashley A.
Knapp, Ashley A.
中科院分区:
医学3区
文献类型:
--
作者:
Cloutier, Renee M.;Batley, Prathiba Natesan;Kearns, Nathan T.;Knapp, Ashley A.

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尽管大麻问题指数(MPI)被广泛用于大学生样本的研究,以反映与大麻相关的问题的一维测量,但还没有研究评估MPI在大学生群体中的心理测量特性。本研究试图在879名报告过去一年吸食大麻的大学生样本中解决这一差距。验证性因素分析被用来检验一维的23项和18项MPI的因素结构和跨性别的测量不变性。使用最终因素、大麻使用史/频率和其他物质使用结果之间的双变量相关性来检查并发和判别效度(即与非大麻结果相比)。包含18个条目(但不包含23个条目)的MPI显示出良好的模型匹配性、不同性别的测量不变性、足够的内部可靠性以及同时效度和区分效度。结果支持使用18个项目的MPI而不是23个项目的MPI来概念化有问题的大麻使用,包括测试大学生的性别差异。研究结果还强调了评估样本中广泛使用的测量方法的心理测量学特性的重要性。
Although the Marijuana Problems Index (MPI) is widely used in studies with college student samples to reflect a unidimensional measure of cannabis-related problems, no studies have assessed the psychometric properties of the MPI in a college student population. The present study sought to resolve this gap in a sample of 879 college students reporting past-year cannabis use. Confirmatory factor analyses were used to test the factor structure of the unidimensional 23- and 18-item MPI and measurement invariance across gender. Bivariate correlations between the final factors, cannabis use history/frequency, and other substance use outcomes were used to examine concurrent and discriminant validities (i.e., vs. noncannabis outcomes). The 18-item (but not the 23-item) MPI demonstrated good model fit, measurement invariance across gender, adequate internal reliability, as well as concurrent and discriminant validities. Results support the use of the 18-item MPI over the 23-item MPI for conceptualizing problematic cannabis use, including the testing of gender-specific differences, among college students. Findings also reinforce the importance of evaluating the psychometric properties of widely used measures across samples.
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