1962
DOI: 10.1037/h0041876
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The validity of two-scale pattern interpretation on the California Psychological Inventory.

Abstract: The validity of 2-scale pattern interpretation for the CPI was assessed within a college counseling service population. Groups representing high and low score combinations on the Dominance and Good Impression scales were constituted, and the self-descriptive adjectives from the Adjective Check List which differentiated these groups from a representative counseling service group were determined. These clusters of self-descriptive terms were generally consistent with the personality types which would be anticipa… Show more

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Cited by 4 publications
(3 citation statements)
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References 6 publications
(6 reference statements)
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“…Second, even if a priori hypotheses had been generated, moderated regression analyses would be inappropriate because individuals' personalities typically are not conceptualized as mathematical interactions between different dispositional tendencies, but rather as a complex pattern of different traits. The latter approach is consistent with researchers who measure personality traits for diagnostic purposes (e.g., Minnesota Multiphasic Personality Inventory: Burger & Kabacoff, 1994; also see Burger, Calsyn, Morse, & Klinkenberg, 2000), and for selection of individuals into organizations (e.g., California Personality Inventory: Heilbrun, Daniel, Goodstein, Stephenson, & Crites, 1962; NEO: McCrae, Yang, & Costa, 2001). Instead, cluster‐analytic procedures allow for the creation of profiles that are populated by relatively homogeneous groups of individuals and allow for the creation of profiles that are characterized by individuals whose scores fall on or about the mean of the scales used in clustering individuals, whereas alternative approaches (e.g., moderated multiple regression) tend to force artificial solutions on data that might not reflect actual clustering patterns (Hodge & Petlichkoff, 2000).…”
supporting
confidence: 72%
“…Second, even if a priori hypotheses had been generated, moderated regression analyses would be inappropriate because individuals' personalities typically are not conceptualized as mathematical interactions between different dispositional tendencies, but rather as a complex pattern of different traits. The latter approach is consistent with researchers who measure personality traits for diagnostic purposes (e.g., Minnesota Multiphasic Personality Inventory: Burger & Kabacoff, 1994; also see Burger, Calsyn, Morse, & Klinkenberg, 2000), and for selection of individuals into organizations (e.g., California Personality Inventory: Heilbrun, Daniel, Goodstein, Stephenson, & Crites, 1962; NEO: McCrae, Yang, & Costa, 2001). Instead, cluster‐analytic procedures allow for the creation of profiles that are populated by relatively homogeneous groups of individuals and allow for the creation of profiles that are characterized by individuals whose scores fall on or about the mean of the scales used in clustering individuals, whereas alternative approaches (e.g., moderated multiple regression) tend to force artificial solutions on data that might not reflect actual clustering patterns (Hodge & Petlichkoff, 2000).…”
supporting
confidence: 72%
“…A study by Heilbrun, Daniel, Goodstein, Stephenson, and Crites (1962) represents an early example of just such a usage. In their research, the Dominance and Good Impression scales were combined to yield four groups that the authors explicitly refer to as "pattern typologies."…”
mentioning
confidence: 99%
“…Such configural and typological considerations have been associated with the California Psychological Inventory (CPI) since its origin (Gough, 1957), and Gough has employed such constructs frequently since then (e.g., Gough, 1965Gough, , 1972. Others (see, e.g., Block, Von Der Lippe, & Block, 1973;Burger, 1975;Heilbrun et al, 1962) have focused on configural aspects of the CPI in their research. The CPI was intended to measure personality dimensions of broad personal and social relevance involving nonpathological elements of personality and is used often in personality research.…”
mentioning
confidence: 99%