TY - JOUR
T1 - The analysis of bridging constructs with hierarchical clustering methods
T2 - An application to identity
AU - Farrelly, Colleen M.
AU - Schwartz, Seth J.
AU - Lisa Amodeo, Anna
AU - Feaster, Daniel J.
AU - Steinley, Douglas L.
AU - Meca, Alan
AU - Picariello, Simona
PY - 2017/10/1
Y1 - 2017/10/1
N2 - When analyzing psychometric surveys, some design and sample size limitations challenge existing approaches. Hierarchical clustering, with its graphics (heat maps, dendrograms, means plots), provides a nonparametric method for analyzing factorially-designed survey data, and small samples data. In the present study, we demonstrated the advantages of using hierarchical clustering (HC) for the analysis of non-higher-order measures, comparing the results of HC against those of exploratory factor analysis. As a factorially-designed survey, we used the Identity Labels and Life Contexts Questionnaire (ILLCQ), a novel measure to assess identity as a bridging construct for the intersection of identity domains and life contexts. Results suggest that, when used to validate factorially-designed measures, HC and its graphics are more stable and consistent compared to EFA.
AB - When analyzing psychometric surveys, some design and sample size limitations challenge existing approaches. Hierarchical clustering, with its graphics (heat maps, dendrograms, means plots), provides a nonparametric method for analyzing factorially-designed survey data, and small samples data. In the present study, we demonstrated the advantages of using hierarchical clustering (HC) for the analysis of non-higher-order measures, comparing the results of HC against those of exploratory factor analysis. As a factorially-designed survey, we used the Identity Labels and Life Contexts Questionnaire (ILLCQ), a novel measure to assess identity as a bridging construct for the intersection of identity domains and life contexts. Results suggest that, when used to validate factorially-designed measures, HC and its graphics are more stable and consistent compared to EFA.
KW - Bridging constructs
KW - Cluster analysis
KW - Identity
KW - Measurement
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U2 - 10.1016/j.jrp.2017.06.005
DO - 10.1016/j.jrp.2017.06.005
M3 - Article
AN - SCOPUS:85030465984
VL - 70
SP - 93
EP - 106
JO - Journal of Research in Personality
JF - Journal of Research in Personality
SN - 0092-6566
ER -