Conducting a Cluster Analysis in Counseling Research: Four Easy Steps

Counseling Outcome Research and Evaluation Pub Date : 2020-06-12 DOI:10.1080/21501378.2020.1768522

Gerta Bardhoshi, Byeolbee Um, Bradley T. Erford

引用次数: 7

Abstract

Abstract A cluster analysis is an exploratory research method that contributes to identifying homogeneous subgroups and examining the structure of targeted data. This article provides four steps for conducting a cluster analysis for counseling researchers and practitioners: (1) select variable(s) for clustering subgroups; (2) perform preliminary data processing; (3) determine the clustering method to use; and (4) assess the validity of clustering results. Cluster analysis benefits counseling research in various ways, including offering an in-depth understanding of counselors, clients, and relevant counseling mechanisms.

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在咨询研究中进行聚类分析:四个简单的步骤

聚类分析是一种探索性研究方法，有助于识别同质子群和检查目标数据的结构。本文为咨询研究人员和从业人员提供了进行聚类分析的四个步骤:(1)选择聚类子组的变量;(2)进行初步数据处理;(3)确定采用的聚类方法;(4)评估聚类结果的有效性。聚类分析对咨询研究有多方面的好处，包括对咨询师、来访者和相关咨询机制的深入了解。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

Counseling Outcome Research and Evaluation Psychology-Psychology (all)

CiteScore

4.50

自引率

0.00%

发文量

期刊介绍： Counseling Outcome Research and Evaluation (CORE) provides counselor educators, researchers, educators, and other mental health practitioners with outcome research and program evaluation practices for work with individuals across the lifespan. It addresses topics such as: treatment efficacy, clinical diagnosis, program evaluation, research design, outcome measure reviews. This journal also serves to address ethical, legal, and cultural concerns in the assessment of dependent variables, implementation of clinical interventions, and outcome research. Manuscripts typically fall into one of the following categories: Counseling Outcome Research: Treatment efficacy and effectiveness of mental health, school, addictions, rehabilitation, family, and college counseling interventions across the lifespan as reported in clinical trials, single-case research designs, single-group designs, and multi- or mixed-method designs.