SCALING PERFORMANCE UTILITY TO ENHANCE SELECTION/CLASSIFICATION DECISIONS

For purposes of selection and classification there are two general reasons for scaling the mean and variance of the utility of performance across jobs. First, if differential utility across jobs does exist, then the payoff from a selection and classification system will be enhanced to the extent that accurate utility values are incorporated in the assignment system. Second, a valid utility metric would permit a more meaningful comparison of the gains achieved by alternative selection and classification procedures. It is argued in this paper that the Army context, and perhaps others, precludes using the dollar metric and estimates of SD_y in dollars. Consequently, Project A conducted a relatively long series of exploratory workshops with Army personnel to (a) define the utility issue, (b) pilot test a wide variety of possible scaling methods, and (c) evaluate the methods that seemed most appropriate. On the basis of exploratory analysis, a combined procedure incorporating both an interval estimation and a ratio estimation method was used to estimate the utility of five different performance levels for each of 276 jobs (MOS) in the enlisted personnel system. The psychometric properties of the resulting scale values are analyzed and discussed.     

MODELING JOB PERFORMANCE IN A POPULATION OF JOBS

The Army Selection and Classification Project has produced a comprehensive examination of job performance in 19 entry-level Army jobs (Military Occupational Specialties) sampled from the existing population of entry-level positions. Multiple methods of job analysis and criterion measurement were utilized in a subsample of nine jobs to generate over 200 performance indicators, which were then used to assess performance in a combined sample of 9,430 job incumbents. An iterative procedure involving a series of content analyses and principal components analyses was used to develop a basic array of up to 32 criterion scores for each job. This basic set of scores formed the starting point of an attempt to model the latent structure of performance in this population of jobs. After alternative models were proposed for the latent structure, the models were submitted to a goodness-of-fit test via LIS-REL VI. After accounting for two components of method variance, a five-factor solution was judged as the best fit. The implications of the results and the modeling procedure for future personnel research are discussed.     

Marital Status and Gender Similarity in Marital Therapy

This analogue study was designed to examine the effects of therapists' marital status and therapist and participant sex on participants' perceptions of therapist and expectations for therapy. Each partner of 20 couples presenting for marital therapy at four outpatient counseling centers independently completed one of four protocols. The protocols differed only on the therapist's marital status and sex. Results revealed that neither therapist marital status nor therapist sex had an effect on participants' perceptions of therapists or therapy expectations. Female participants, however, perceived therapists as more trustworthy, attractive, and expert and had higher expectations for therapy than did male participants.     

Employment and Urban Native Canadians

Designed to measure differences in employment issues between a selected native Canadian Indian group and a non-native comparison group in Toronto, the study demonstrated that given similar circumstances for comparison, Native Canadians are less formally educated and skill trained than are non-natives of comparable age, sex, and education. Respondents under the age of 25 and over 50 earned substantially less than respondents within that age range.