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Similarly, with respect to the psychological testing component of personality assessments, the contribution of SRIs and PBMs to clinical decision making in the individual case can rarely be known before the test data are in hand What can be known in advance of conducting an evaluation is that personality assessment proceeds most effectively when (1) the tests being used combine to measure both state and trait characteristics adequately, (2) the obtained data are sufficiently extensive to provide a dependable basis for drawing inferences from them, and (3) adequate procedures are in place to detect or minimize impression management In light of these requisites for effective assessment, the previously presented comparisons between self-report and performance-based methods demonstrate the benefits of selecting measures of both kinds for inclusion in personality test batteries.



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63 occurred between variables 1 and 2, and a relatively small difference of 19 was obtained between variables 4 and 5. This nding is also evident in the earlier MDS depiction of the proximities (Figure 16.3). Turning to the male sample, the results here suggest a still better overall t of the circumplex model, with even the highly constrained equally-spaced model approaching a close t (based on RMSEA values near .05; Browne, 1992). Allowing for (slight) unequal spacing (again, for variables 4 and 5), t is excellent. As further evidence of this, Tables 16.5 and 16.6 show the actual correlation matrix and the reproduced matrix, respectively. (The reproduced values are maximum likelihood estimates provided by CIRCUM and assume an equally-spaced model.) The close correspondence of the two tables is apparent. In evaluating the results of model- t tests, Gurtman and Pincus (2000) noted that attention should also be directed toward the issue of whether deviations from model t also have practical consequences for individual assessment. In this case, it can be shown that the slight unequal spacing of the PGI data (female sample) would have virtually no effect on individual assessment results. Gurtman and Pincus (2000) concluded the same was true for the Interpersonal Adjective Scales. Circular Order Model and the Randomization Test Tracey, Rounds, and their associates (e.g., Rounds et al., 1992; Tracey & Rounds, 1993) have offered a less restrictive

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To reprise these comparisons, SRIs are likely to be particularly though not exclusively sensitive in measuring personality states, and PBMs are likely to be particularly though not exclusively sensitive in measuring personality traits; either type of instrument may at times yield data of questionable dependability, especially when respondents choose to be guarded.

evaluation, where any data set may be costly and dif cult to obtain, and where failure to learn inductively may mean foregoing a valuable opportunity to create better or cheaper programs Principled discovery has two primary steps First, the researcher carries out some exploratory analyses that may (a) demonstrate the contingent limits of a causal relationship (ie, may identify moderators of the effect), (b) suggest an underlying mechanism, or (c) both Second, the researcher then (a) replicates the initial nding, or, probably more likely in evaluation, (b) conducts a test of a theoretical implication of the new nding, or (c) both It is important to note that these two steps of principled discovery can be carried out in conjunction with the traditional procedures used to test an a priori hypothesis.

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For example, one might test the effectiveness of a freshman orientation program using a random experiment or a quasi-experimental design, and also undertake principled discovery with the same data set The rst step of principled discovery (ie, the exploratory analyses through which discovery occurs) can be carried out in a wide variety of ways (Mark, 2001; Mark et al, 1998) Indeed, the methods of discovery are as varied as are the methods of systematic inquiry A few examples should suf ce First, standard statistical techniques such as regression and ANCOVA can be used in an exploratory fashion (Tukey, 1977) In general, this would involve exploratory tests to try to nd interactions.

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