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Average correlations between general intelligence and job proficiency are traditionally in the .20s (Ghiselli, 1966, 1973). However, because the predictors and criteria are typically restricted in variability due to selection factors and other practical limitations of test validation in industrial settings, some have argued that such coefficients require statistical correction to reflect more accurately the true relationship between IQ and job success (Hunter & Hunter, 1984). For the purpose here (i.e., to determine the validity of the theoretical construct underlying intelligence tests), the corrected values seem more appropriate. In an ambitious meta-analysis of hundreds of studies relating intelligence to job performance, Hunter (1986) concluded that general cognitive

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ability has high validity predicting performance ratings and training success in all jobs (p 359) He organized data from three major sources, correcting coefficients for restriction of range in all cases, and for attenuation (imperfect test reliability) in the first two sets of studies: (1) Ghiselli s lifework, involving several summaries of a quarter-century s worth of validity studies in industry on the prediction of job proficiency and success in training programs; (2) 515 validation studies conducted by the US Employment Service with the GATB, 425 on job proficiency (N = 32,124) and 90 on training success (N = 6,496); and (3) US military studies of training success in mechanical, clerical, electronic, and general technical fields (828 studies totalling 472,539 subjects) Coefficients of correlation between intelligence and job proficiency (performance ratings) were consistently higher for complex jobs than for those demanding less complexity.

c# remove text from pdf

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The Ghiselli studies produced substantial corrected correlations for the complex jobs of manager (53), clerk (54), and salesperson (61) Coefficients in the mid-40s were obtained for jobs of medium complexity (eg, crafts and trades), while values in the high 20s and 30s were typical of low complexity jobs like vehicle operator Similar averages emerged when Hunter (1986) grouped the US Employment Service studies by complexity: high complexity (r = 58), medium (51), and low (40) Gottfredson (1997) suggested that general intelligence (g) has pervasive utility in work settings because it is related to one s ability to deal with cognitive complexity She noted that the more complex a work task, the greater the advantages that higher g confers in performing it well Intelligence correlated even more impressively with success in training than it did with job performance.

Further, the coefficients obtained for various training programs were about equally good, regardless of job complexity The average corrected coefficient for the 828 studies of training success conducted by the US military was 62, with values hovering around that overall value for each of the four job families (ie, me-.

Notes present interesting, but not essential, information. Read these to get more background about the topic at hand.

chanical, clerical, electronic, and general technical) Coefficients from the Ghiselli summaries ranged from 37 (vehicle operator) to 87 (protective professions) with a median correlation of 65 across seven categories of jobs The 90 training studies carried out by the US Employment Service yielded average values of 50 to 65 (median = 56) for jobs grouped into four categories Hunter showed further that validity coefficients are even higher when objective work samples of job performance are used instead of subjective supervisor ratings Based on a handful of particularly well-designed investigations that used objective criteria to evaluate job proficiency, corrected correlations were 75 in civilian data and 53 in military data In a more recent synthesis of the vocational data, Schmidt and Hunter (1998) reviewed 85 years of research in personnel selection, focusing on the results of the best meta-analyses, including much of the data reviewed in the preceding paragraphs.

c# remove text from pdf

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c# remove text from pdf

c# remove text from pdf

c# remove text from pdf

c# remove text from pdf

c# remove text from pdf

c# remove text from pdf

c# remove text from pdf

itextsharp remove text from pdf c#

c# remove text from pdf

c# remove text from pdf

itextsharp remove text from pdf c#

c# remove text from pdf

itextsharp remove text from pdf c#