A biodata based personnel selection measure was created to improve the retention rate of Catalog Telemarketing Representatives at a major U.S. retail company. Five separate empirical biodata scoring methods were compared to examine their usefulness in predicting retention and reducing adverse impact. The Mean Standardized Criterion Method, the Option Criterion Correlation Method, Horizontal Percentage Method, Vertical Percentage Method, and Weighted Application Blank Method using England's (1971) Assigned Weights were employed. The study showed that when using generalizable biodata items, all methods, except the Weighted Application Blank Method, were similar in their ability to discriminate between low and high retention employees and produced similar low adverse impact effects. The Weighted Application Blank Method did not discriminate between the low and high retention employees.

It was hypothesized that group industrial accident rates would be negatively related to job satisfaction. An employee opinion survey measuring satisfaction with various aspects of the job was administered to 1,577 non-exempt (hourly) field workers in 36 district offices of a Texas petroleum services company. Factor analysis of the survey revealed five interpretable sub-scales (factors) measuring five aspects of job satisfaction. Internal consistency reliability for each of the sub-scales and for the instrument as a whole was high (.83 or better). For each of the 36 districts, group accident rate for a six month period was determined. A correlational analysis was then done between district accident rate and the district satisfaction score for each factor and for total satisfaction. None of the correlations were significant.

Absenteeism, lateness, and work performance on the job were investigated. Pre-entry attitudes and self-reported behaviors in the three areas were assessed via RELY, a self-report instrument developed by Kurt Helm (1980). Subjects (N=282) were entry-level stock, bag and clerical personnel for a large grocery store chain. They were 91% Caucasian and 62% male. Results showed significant correlation between three empirically derived scales and criteria: total days absent, total occurrences of lateness, and supervisory performance ratings. However, these findings were considerably weaker under cross-validation. The findings indicate absence-proneness as a tenable concept. Further investigation may find a considerable amount of the variance in attendance to be the result of pre-entry attitudes.

Subjects were 38 computer programers employed in a national food-retailing corporation. A job analysis provided a basis for criteria development and served to guide the selection of predictors. Ratings of each programmer's job performance by his immediate supervisor, and scores on such tests as the Computer Programer Aptitude Battery (CPAB), clerical tests, and supervisory judgment test were obtained. Relationships between tests and criteria were examined to find the best test combination for predicting programming performance. Statistical treatment of data included a principal components analysis of the criteria and a multiple linear regression analysis. A weighted combination of the CPAB Reasoning, a test of clerical ability, and supervisory judgment test was found to be highly correlated with performance (R = .60).

A factor analysis using an oblique rotation was performed on an employee attitude survey developed for a data processing company. The survey was administered to 669 volunteer employees. There were 291 males and 378 females. It was hypothesized that four main factors would be identified as "Advancement Opportunities," "Compensation and Benefits," "Management Style," and "Job." Results of the factor analysis did not confirm the hypothesized a priori factor structure. The lack of confirmation of the hypothesized factor structure was found to be a result of poor survey construction. The attitude survey was found not to be a valid measure of employee attitudes. Implications of this study suggest that a poorly constructed attitude survey may be worse than no survey at all.

An attempt was made to determine the presence of subjectivity in the appraisal system of a data processing company. Ninety-one clerks were given individual performance ratings by their supervisors, including an overall rating and ratings on seven performance dimensions. A multiple regression performed on these data resulted in a set of empirical weights. Supervisors were also asked to rank the relative importance of each of the seven dimensions to the clerk job. The mean rankings were regarded as apparent weights. A comparison of the empirical and apparent weights led to the conclusion that supervisors were not rating their employees according to what they said was important for successful performance, thus introducing an element of subjectivity into the system.

It was hypothesized that field dependence and attention measures would differentiate accident-loaded and accident-free employees of a petroleum services company. Analysis of variance revealed main effects and a three-way interaction for the Rod-and-Frame Test. Main effects occurred for the Attention-Diagnostic Method and Embedded- Figures Test. No differences occurred for the Closure Test. Regression analysis produced an R (76) = .41, p < .01, with the Attention-Diagnostic Method contributing more to prediction. Equality-symmetry violations occurred in the data. Cautious interpretation was advised because of the assumption violations. The accident-loaded subjects produced consistently greater performance variances, which suggested general performance characteristics in several respects. Future research should be longitudinal-predictive, oriented from Kerr 's complementary safety theories.

With the EEOC requiring empirical criterion-related validity for selection procedures, predictor variables of physical characteristics, biographical data, and personality traits were related to both on-the-job performance and training performance. In the correlational analysis of the variables, a total of 455 flight attendants from a single airline were used, with half of the subjects serving as a cross-validation sample. The results showed slight relationships between biographical data and physical characteristics to training performance but no relationship between any predictor variable and job performance. The impact of race being a significant predictor of training performance was reviewed. The lack of practical information was discussed, and implications made for future research to include proper design and reliability of screening procedures before attempting criterion-related validation.

The study described the development of a standardized, normed, content-valid machine transcription test which could be used to evaluate the ability of secretarial applicants to type a mailable copy of a business letter from a dictated tape recording. The test was based on a thorough job analysis and was pretested using a pilot study with job incumbents to confirm its feasibility. Normative data were developed from 50 job applicants. Interrater reliability was statistically significant (r = .85, p <..05). The test was adopted for use at the headquarters office of a major oil and gas producing company.

Empirical findings on Behaviorally Anchored Rating Scales (BARS) have been mixed, despite early researchers' claims that BARS were superior to trait ratings and in reliability and resistance to leniency, central tendency, and halo. The study presented compared a BARS format to an independently derived trait scale as measures of secretarial and clerical performance. Though the BARS showed slightly inflated mean ratings, the instruments showed nearly identical variability. Neither demonstrated sufficient resistance to halo. Thus, despite their intuitive appeal and the rigors involved in format development, it did not appear in this instance that BARS were an efficient and psychometrically superior alternative to the traditional trait rating format.

The hypothesis was investigated that school training was more effective than on-the-job training. Of a sample of 349 male subjects, 217 received on-the-job training and 132 received school training. Data were collected and analyzed on tenure, performance, promotions, salary increases, and accidents. Training type had a significant positive correlation with tenure and accident occurrence at the .01 and .05 level, respectively, and a significant correlation with salary increase at the .05 level. A regression model using accident occurrence and salary increase yielded a prediction of training type significant at the .05 level. No difference was found between the two types of training, as measured by the study variables.

The purpose of this study was to assess content and concurrent validity of the Torrance Tests of Creative Thinking (TTCT). The subjects were thirty-four art majors at North Texas State University between the ages of nineteen and thirty-nine. Content validity for the TTCT, as assessed by seven judges (art professors), was very high; concurrent validity was very low. Only one judge's ranking of the criterion was significantly intercorrelated with that of the other judges (p<.05). There were no significant rho correlations between the TTCT and the criterion (p<.05). The t-ratio differences between the males and females, for all tasks of the TTCT, were non-significant (p<.05). It was concluded that the TTCT were not appropriate for use with adult art majors.

Subjects were 34 computer programmers employed in a major computerized tax processing company. Scores in the Computer Programmer Aptitude Battery (CPAB) and ratings of each programmer's job performance by his immediate supervisor were obtained. The purpose of the study was to validate a selection test. The relationship between the aptitude battery and performance evaluations was examined to evaluate the test's ability in predicting programming performance. Statistical treatment of data included Pearson product-moment correlations and a multiple linear regression analysis. The total test scores and several of the subtests were found to be significantly correlated with performance.

One technique being used to reduce employee turnover is the Weighted Application Blank. Data obtained from application blanks are analyzed and weights are assigned to each item. Utilizing these weights, predicted scores are derived and compared to each person's actual tenure to determine the effectiveness of the model. The present study analyzed application blank data from the files of 93 currently employed and 69 terminated female clerical workers. Twelve items were analyzed by means of a stepwise multiple linear regression procedure, with months of tenure being the dependent variable. The five most significant items yielded a multiple correlation of .54. The total sample also was divided randomly into two groups, and cross-group analyses resulted in simple correlations of .56 and .29.

A 75-item, Likert-type employee attitude survey was completed by a sample of 670 hourly and salaried employees of a Southwestern company engaged in computerized tax-form processing. The survey contained items relating to attitude dimensions roughly analogous to those subsumed under the two-factor theory of job satisfaction as defined in the relevant literature. Factor analysis, using the principle axes solution, followed by both orthogonal (varimax) and oblique (direct oblimin) rotations was performed. The oblique rotation derived 11 factors which accounted for 87.3% of the common variance. These lent statistical support to 10 of 16 a priori, hypothesized attitudinal dimensions. The six remaining hypothesized dimensions were not empirically supported.

A job satisfaction questionnaire measuring satisfaction with various job aspects was administered to 458 male equipment operators in 30 district offices of a North Texas based petroleum services company to determine whether mean district scores on any of nine sub-scales developed through factor analysis or on the composite overall satisfaction scale were predictive of subsequent district turnover rate. Eight of the nine sub-scales were correlated with district turnover rate at the .05 level or better. Overall satisfaction was also significantly related to district turnover rate (r = .57, p < .001). It was concluded that the instrument is a valid indicator of subsequent employee turnover rate in the population studied. However, a cross-validation was suggested to determine whether the relationships can be generalized to other populations.

Subjects were 32 computer programmers employed in a large computerized tax-processing company in the Southwest. Ratings of each programmer's job performance by his/her immediate supervisor and scores on the Aptitude Test for Programmer Personnel (ATPP) were obtained. Relationships between test scores and criteria were examined to identify significant (p < .05) correlations. Statistical treatment of data included zero-order Pearson product-moment correlation, multiple linear regression, and first-order semi-partial correlation analyses. Results indicated that the ATPP did not successfully predict (2 >.05) the rated performance of the programmers.