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Marketing of Professional Counselors: A Q‐Sort Study of Best Practices
Author(s) -
Sheperis Donna S.,
Korani Komal,
MilanNichols Marsha,
Sheperis Carl J.
Publication year - 2019
Publication title -
journal of counseling and development
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.805
H-Index - 78
eISSN - 1556-6676
pISSN - 0748-9633
DOI - 10.1002/jcad.12232
Subject(s) - sort , variance (accounting) , preference , sample (material) , psychology , selection (genetic algorithm) , graduate students , marketing , statistics , computer science , pedagogy , mathematics , business , artificial intelligence , information retrieval , chemistry , accounting , chromatography
This quantitative Q‐sort research was designed to evaluate representations of counselor qualifications and to determine which configurations account for the variance in consumer preference and selection. The sample consisted of 161 graduate and undergraduate students in a regional university in Texas. An iterative inverse factor analysis produced 3 distinct factors that accounted for 65.85% of the variance in the data, explaining a majority of the differences in how consumers perceive counselor credentials.