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A Primer for Social Worker Researchers on How to Conduct a Multinomial Logistic Regression

机译:社会工作者研究人员入门指南,介绍如何进行多项式Lo​​gistic回归

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The purpose of this article is to explain how to conduct a multinomial logistic regression (MLR) to increase its usage among social work researchers. A challenge for social work researchers carrying out practice-based research is to incorporate statistical analyses that are comprehensible to clinicians. Another challenge is that categorical variables, as opposed to continuous, commonly occur in clinical settings, yet their usage is seldom taught in social work education. This article will discuss MLR, a categorical data analysis used when there are three or more unordered categories in the outcome variable. Multinomial logistic regression determines differences across client groups, and can be useful in assessment, case planning, and examination of outcomes.
机译:本文的目的是解释如何进行多项逻辑回归(MLR)以增加其在社会工作研究人员中的使用。进行基于实践的研究的社会工作研究人员面临的一个挑战是将临床医生可以理解的统计分析纳入其中。另一个挑战是,相对于连续变量,分类变量通常出现在临床环境中,但是在社会工作教育中很少教授它们的用法。本文将讨论MLR,一种在结果变量中存在三个或更多无序类别时使用的分类数据分析。多项式逻辑回归确定了不同客户群之间的差异,可用于评估,病例规划和结果检查。

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