An introduction to association rule mining: an application in counseling and help-seeking behavior of adolescents.
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.
Goh
Dion H
DH
Division of Information Studies, School of Communication and Information, Nanyang Technological University, Singapore. ashlgoh@ntu.edu.sg
Ang
Rebecca P
RP
D000293:Adolescent; D000294:Adolescent Behavior / Q000523:psychology*; D000465:Algorithms; D002648:Child; D016000:Cluster Analysis; D003376:Counseling / Q000379:methods*; D003627:Data Interpretation, Statistical; D016208:Databases, Factual; D005260:Female; D006801:Humans; D016247:Information Storage and Retrieval / Q000379:methods; D008297:Male; D010342:Patient Acceptance of Health Care; D010363:Pattern Recognition, Automated / Q000379:methods*; D000297:Psychology, Adolescent / Q000379:methods*; D012846:Singapore; D012942:Social Sciences / Q000379:methods