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Yunxiao Chen; Xiaoou Li; Jingchen Liu; Gongjun Xu; Zhiliang Ying – Grantee Submission, 2017
Large-scale assessments are supported by a large item pool. An important task in test development is to assign items into scales that measure different characteristics of individuals, and a popular approach is cluster analysis of items. Classical methods in cluster analysis, such as the hierarchical clustering, K-means method, and latent-class…
Descriptors: Item Analysis, Classification, Graphs, Test Items
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Rosellini, Anthony J.; Brown, Timothy A. – Assessment, 2011
The present study evaluated the latent structure of the NEO Five-Factor Inventory (NEO FFI) and relations between the five-factor model (FFM) of personality and dimensions of "DSM-IV" anxiety and depressive disorders (panic disorder, generalized anxiety disorder [GAD], obsessive-compulsive disorder, social phobia [SOC], major depressive disorder…
Descriptors: Structural Equation Models, Emotional Disturbances, Anxiety, Depression (Psychology)
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Webster, Jeffrey Dean – International Journal of Aging and Human Development, 2007
This study examined the psychosocial correlates and psychometric properties of the Self-Assessed Wisdom Scale (SAWS) (Webster, 2003a). Seventy-three men and 98 women ranging in age from 17-92 years (Mean age = 42.77) completed an expanded, 40-item version of the SAWS, the Loyola Generativity Scale, and the Experiences in Close Relationships Scale.…
Descriptors: Measures (Individuals), Psychometrics, Construct Validity, Correlation
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Salter, Daniel W.; Junco, Reynol; Irvin, Summer D. – NASPA Journal, 2004
To address the ability of the Salter Environment Type Assessment (SETA) to measure different kinds of campus environments, data from three studies of the SETA with the Work Environment Scale, Group Environment Scale, and University Residence Environment Scale were reexamined (n = 534). Relationship dimension scales were very consistent with…
Descriptors: College Environment, College Students, Part Time Students, Surveys