Literature DB >> 17695353

An introduction to association rule mining: an application in counseling and help-seeking behavior of adolescents.

Dion H Goh1, Rebecca P Ang.   

Abstract

Association rule mining (ARM) is a technique used to discover relationships among a large set of variables in a data set. It has been applied to a variety of industry settings and disciplines but has, to date, not been widely used in the social sciences, especially in education, counseling, and associated disciplines. This article thus introduces ARM and presents aspects of existing work that will be relevant and useful to researchers practitioners in the social sciences. Definitions and concepts are presented, and examples of ARM applications are highlighted to strengthen these ideas. We also discuss an example from our existing research to show that ARM can be used to investigate help-seeking behavior in a sample of secondary school students in Singapore. We also present some guidelines and recommendations for using ARM.

Mesh:

Year:  2007        PMID: 17695353     DOI: 10.3758/bf03193156

Source DB:  PubMed          Journal:  Behav Res Methods        ISSN: 1554-351X


  2 in total

1.  Attitudes Toward Seeking Professional Psychological Help: Factor Structure and Socio-Demographic Predictors.

Authors:  Louisa Picco; Edimanysah Abdin; Siow Ann Chong; Shirlene Pang; Saleha Shafie; Boon Yiang Chua; Janhavi A Vaingankar; Lue Ping Ong; Jenny Tay; Mythily Subramaniam
Journal:  Front Psychol       Date:  2016-04-25

2.  A Real-World Evidence Study for Distribution of Traditional Chinese Medicine Syndrome and Its Elements on Respiratory Disease.

Authors:  Fei Xu; Wengqiang Cui; Qing Kong; Zihui Tang; Jingcheng Dong
Journal:  Evid Based Complement Alternat Med       Date:  2018-12-12       Impact factor: 2.629

  2 in total

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