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methods of potential analysis                                     171
                        METHODS OF POTENTIAL ANALYSIS

                        Research over the past 85 years has tried to identify valid predictors for future job-related
                        performance. Studies vary in the specificity of predictors (Cantwell, 1990: gender, needs
                        and motivation; Gadzella, Ginther, & Bryant, 1997: learning style and critical thinking;
                        Hojat, Vogel, Zeleznik, & Borenstein, 1988: psychological predictors such as stressful
                        life events, test anxiety, etc.; Love & O’Hara, 1987: work maturity; Locke, Frederick,
                        Lee, & Bobko, 1984; self-efficacy, goals, and task strategies; Stajkovic & Luthans, 1998:
                        self-efficacy) as well as performance criteria (subjective, such as grade point average,
                        Pringle, 1994; objective, such as job status, Martin & Bartol, 1985) and they usually
                        hold only for specific groups of professionals.
                          Further, attempts to measure potential and to predict performance differ in the methods
                        that are used. They range from appraisal interviews (Miner, 1970; Shahani, Dipboye, &
                        Gehrlein, 1991), cognitive tests (Gordon, Charns, & Sherman, 1987; Shore et al., 1998),
                        work sample tests (Mount, Muchinsky, & Hanser, 1977), and in-basket exercises
                        (Hakstian, Woolsey, & Schroeder, 1986) to personality factors (Cook & Emler, 1999;
                        Judge, Erez, & Bono, 1998; Linnehan, 1998), biodata (James, Ellison, Fox, & Taylor,
                        1974; Mael & Hirsch, 1993; McBride, Mendoza, & Carraher, 1997) and combinations
                        of different methods (Jones, Joy, & Martin, 1990; Mayberry & Carey, 1997; P¨ossnecker,
                        1992) (for practical issues see the chapter of Altink and Verhagen in this volume). For
                        each predictor there are a number of meta-analyses: Hunter and Hunter (1984), Hunter
                        and Hirsh (1987), Gaugler, Rosenthal, Thornton, and Bentson (1987), Tett, Jackson, and
                        Rothstein (1991), Robertson and Kinder (1993), Bliesener (1996), Salgado (1997). The
                        extensive findings by Schmidt and Hunter (1998a) may serve to exemplify the research
                        data (see Table 8.1).Their meta-analysis revealed that, with the exception of work sample
                        tests (validity of .54), tests of general mental ability (GMA) have the highest validity.
                        This predictor has a validity of .58 for job performance of managers and a validity of .51
                        for jobs of average demands. Assessment center show a validity of .37, biographical data
                        measures have .35 validity, personality tests as well as conscientiousness tests have a va-
                        lidity of .31, and integrity tests have one of .41. Structured employment interviews have
                        a validity of .51. The combination of two predictors shows that integrity tests in combi-
                        nation with intelligence tests make the best prediction (.65) whereas the combination of

                        TABLE 8.1 Predictive validity for overall job performance of general mental ability (GMA)
                        scores combined with a second predictor using (standardized) multiple regression (Schmidt &
                        Hunter, 1998b, p. 265)
                                                                      Gain in validity
                                                                      from adding   % increase in
                        Personnel measures        Validity (r)  Multiple R  supplement  validity
                        GMA tests                   .51
                        Work sample tests           .54       .63         .12         24%
                        Integrity tests             .41       .65         .14         27%
                        Conscientiousness tests     .31       .60         .09         18%
                        Employment interviews
                          (structured)              .51       .63         .12         24%
                        Biographical data measures  .35       .52         .01          2%
                        Assessment centers          .37       .53         .02          4%
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