GENERALIZING PHYSICAL ABILITY TEST VALIDITY: A CASE STUDY USING TEST TRANSPORTABILITY, VALIDITY GENERALIZATION, AND CONSTRUCT-RELATED VALIDATION EVIDENCE

This paper describes a field study using Position Analysis Questionnaire (PAQ; McCormick, Jeanneret, & Mecham, 1972) data to support inferences of physical ability test (PAT) validity at a large utility company. The project developed a test transportability procedure using worker-oriented job analysis, and was based on synthesizing the findings of an earlier consortium project (American Gas Association, 1990), recent validity generalization evidence, and findings from a variety of physical ability construct-related research projects published or presented since the completion of the original consortium study. Selected PAQ divisional dimension scores for 95 jobs were analyzed via cluster analysis to develop five physical demand job families. Statistically derived job families were modified very slightly based on reviews by subject matter experts who found PAQ-derived job family structures quite reasonable (agreement of 95% between statistical and rational procedures). PAQ strength attributes were used to estimate the physical demands underlying job families. The statistical and analytic procedures developed and reported here could be applied in other organizational settings, and allow broader applicability of the PAT than would a task-based transportability model.     

DETERMINING JOB GROUPS: APPLICATION OF HIERARCHICAL AGGLOMERATIVE CLUSTER ANALYSIS IN DIFFERENT JOB ANALYSIS SITUATIONS

The present study showed that researchers must consider underlying data structure when using hierarchical agglomerative cluster analysis to group jobs. Five cluster procedures were applied to four simulated data sets constructed to reflect common job analysis situations. The structures contained jobs varying in degree of task overlap, number of tasks performed, and relative number of people doing the jobs. Average linkage/distance was the most accurate procedure when jobs had highly positively correlated task profiles, a situation characteristic of jobs within a career family over a restricted range of levels. Average linkage/correlation was the most accurate for three other structures containing jobs whose profiles were not highly positively correlated. Such are characteristically found when analyzing (a) jobs in different functional units, (b) jobs over a wide range of hierarchical levels such as entry to advanced, and (c) jobs differing markedly in the number of incumbents.     

Selling & Sales Management in Action: A COMPARATIVE STUDY OF INCENTIVES IN A SALES FORCE CONTEST

The sales job of the early twenty-first century has evolved due to myriad rapidly changing environmental factors. Customer relationship focus, technology, global competition, shifting customer preferences and demands, forced downsizing, increased competitive pressure, and other factors have contributed to altering the salesperson role—what salespeople do. Yet outdated taxonomies are referenced when researching and writing about sales jobs. This paper develops an empirically generated sales position taxonomy based on changing selling activities and strategies. First, a set of 105 activities are factor analyzed to create 12 dimensions of selling. Second, the factor scores are entered into a cluster analysis. The resulting factor score centroids allow for interpretation of a taxonomy of six categories of contemporary sales jobs.     

A factorial approach to job families

This is an experimental study of the application of factor analysis to a new domain—the formation of job families. Correlations between jobs are computed from the formula based on the number of common elements between two variables and the job analyses provide the basic data on the presence or absence of the elements. A first-order general factor and four common factors are obtained in a small sample of twenty occupations. Tentative interpretations are made and implications for job analysis and the formation of job families are pointed out.The analysis the results of which are reported here was made possible by the Bureau of Psychological Services, Institute for Human Adjustment, Horace H. Rackham School of Graduate Studies, University of Michigan.     

A COMPARISON OF GLOBAL JUDGMENT VS. TASK ORIENTED APPROACHES TO JOB CLASSIFICATION

The purpose of this study was to determine the extent to which direct judgments of similarity by supervisors and incumbents could provide the same job classification results as a more elaborate job analysis procedure involving measures of task overlap among jobs. To accomplish this, 8 foreman jobs in a chemical processing plant were analyzed and compared on 237 task statements. In addition, 15 foremen incumbents and 17 supervisors evaluated the similarities among the same 8 foremen jobs in a paired comparisons rating task. The task-oriented job analysis required hundreds of man-hours to complete; the rating task took 15 minutes. Results using hierarchical cluster analysis and multidimensional scaling analysis revealed that the global judgments and the task-oriented data led to identical conclusions. Also, it was found that incumbent ratings produced the same results as ratings from supervisors. Uses, advantages, and disadvantages of the procedure are outlined.     

职务评价的方差分析法在制定职务等级中的应用

职务评价的方差分析法的技术核心是通过方差分析确定职务可比价值各成分的权重。此方法的有效性和实用性已在协助国有企业内部分配改革的制定工资标准中得到验证,并显示其普遍性的方法论意义：职务评价值是职务价值的线性映射：凡涉及职务价值差异的问题都可用此方法解决。本研究应用方差分析法为国有金融系统行员制改革中制定统一的职务等级标准提供技术支持和科学依据。评价程序中,职务分析、职务分类、计算职务评价值等前三个步骤与制定工资标准的作法相同。然后,推算各类职务评价值的变异范围（以９５％置信区间代表）,再将各类职务按管理层次合并为大类。最后,寻求一个合理划分各管理层次大类变异范围的约数,划分整个评价值变异范围。对某银行系统４５２种职务的８４１个样本评价的结果,所确定的职务等级数、各职务大类的等级跨度、位次,都符合该银行系统的人事管理经验及改革设想     

EMPIRICALLY DERIVED JOB FAMILIES AS A FOUNDATION FOR THE STUDY OF VALIDITY GENERALIZATION

The purpose and background of a series of three studies dealing with validity generalization are discussed, an overview of the series is provided, and the initial study is described.
In the initial study a total of 76 insurance company jobs was analyzed by 203 raters in an effort to assess the potential usefulness of the Position Analysis Questionnaire (PAQ) as a job analysis device to be employed in a more extensive, companywide research program. Examination of rate-rerate and interrater reliability suggested that rate-rerate reliability was quite good, while interrater reliability estimates were somewhat lower. Cluster analysis techniques were applied to the five Overall and 17 Component dimensions of the PAQ yielding six job families in both analyses. The job families were described in terms of the various PAQ dimensions and were judged to be organizationally meaningful. Although the job clustering results were generally acceptable, it was conjectured that job families formed on the basis of company specific dimensions might prove even more meaningful.     

IDENTIFYING OPTIMAL PREDICTOR COMPOSITES AND TESTING FOR GENERALIZABILITY ACROSS JOBS AND PERFORMANCE FACTORS

The initial examination of validity generalization in the Army Selection and Classification Project used data from a concurrent validation sample of 4,039 job incumbents drawn from a representative sample of nine jobs. The available data consisted of 24 predictor scores and five job performance factor scores on each individual. The major objectives were to determine (a) the degree of validity generalization across the major components of performance, with the job held constant, and (b) the degree of validity generalization across jobs within each major performance factor. After reducing the predictor set by eliminating variables that added no information, a modified confirmatory analysis was used to test the hypotheses that one equation would fit the data from all performance components and that one equation would fit the data from all jobs, given a particular performance component. The major findings were that different predictor equations were needed for each of the five criterion factors. For generalization across jobs, within each criterion factor, one equation fit the data for four of the five performance components. Different prediction equations were required for the component that reflects proficiency on the technical tasks specific to each job.     

WITHIN CLASSIFICATION JOB DIFFERENCES

A task analysis was conducted to determine the extent to which six jobs from a single classification in one organization were similar in their task composition. Of the six jobs studied, MAN-OVA results demonstrated that five were significantly different. Follow-up analyses indicated that there were practically significant differences between the jobs. These results suggested that selection options would be affected and that differing training and evaluation procedures should be used. The practical implications of these findings for selection, training, performance appraisal and job grouping are discussed.     

A METHODOLOGICAL APPROACH TO JOB CLASSIFICATION FOR PERFORMANCE APPRAISAL PURPOSES

This paper illustrates a methodological approach to classifying jobs for the purpose of developing performance evaluation instruments. The approach was to administer a worker-oriented job inventory to 2,023 incumbents across several jobs and several levels of responsibility (rank) in the U. S. Coast Guard. The data from the job inventory were then analyzed using Tucker's Three-Mode Factor Analysis. Output from the three-mode factor analysis was used to identify combinations of jobs and ranks for which separate appraisal instruments could be developed. In addition, output from the three-mode factor analysis was used to suggest the content of the various appraisal instruments. Advantages, applications, and limitations of this approach are discussed.     

IMPLEMENTATION AND EVALUATION OF AN ASSESSMENT CLASSIFICATION MODEL FOR MANPOWER UTILIZATION1

The present study deals with implementing and evaluating Schoenfeldt's assessment-classification model in an industrial setting using a multiplicity of job families and a range of criteria. A total of 1,987 non-exempt employees of a U. S. oil company were administered an extensive autobiographical inventory. Hierarchical clustering of the resulting biographical profiles produced 18 subgroups of employees such that within any one subgroup, background experiences and interests were similar and between subgroups they were different. A similar methodology was applied to job analysis data in creating a structure of 19 job families for 939 office and clerical jobs. Significant relationships were found between biodata subgroups and criteria of sex, education level, termination rate, equal employment opportunity job classification and performance ratings. There was no statistically significant relationship between subgroup membership and race. In addition, there was a significant relationship between subgroups and job families. Applications for a variety of personnel management practices are discussed.     

Reliability of job evaluation: Differences across sex-typed jobs

Recent work has questioned whether a single job evaluation instrument can reliably measure jobs from different job families. To test this, a generalizability study was done to determine the reliability of three job evaluation instruments: one for male-dominated jobs, MIMA-Shop, one for female-dominated jobs, MIMA-office and one which evaluated both types, FES. Initial results indicated that the latter instrument suffered no loss in reliability, and that all three instruments were equally highly reliable. A second analysis evaluated the reliability of the FES for male-dominated jobs separately from the reliability of the FES for female-dominated jobs. These results indicated no significant difference in reliability for male-dominated jobs and for female-dominated jobs. Implications of these findings were discussed.A previous version of this paper was presented at the 95th Annual Convention of the American Psychological Association at New York City, August 1987.     

JOB ANALYSIS MODELS AND JOB CLASSIFICATION

Recent research in job classification has focused on the appropriate data analysis model for analyzing the similarities and differences among jobs. In the present research, the data analysis model is held constant, and the type of job analysis data is varied to examine the effect on the resulting job classification decisions. Seven foremen jobs in a chemical processing plant were analyzed using three different levels of job analysis data: task-oriented, worker-oriented, and abilities-oriented. All three sets of data were analyzed using the same hierarchical clustering procedure. Results indicated that the number and type of resulting job clusters was clearly dictated by the type of job analysis data that was used to compare the foremen jobs. Practical implications of these findings are presented.     

内部分配改革的职务评价技术探新

建立工资标准系统的关键是确定职务工资率。职务间可比价值成分变异越大,对确定职务工资率的贡献也越大。根据以上研究设想采用方差分析方法进行职务评价。评价步骤包括：职务描述;对职务要素作主成分分析;对职务样本作聚类分析和判别分析;通过方差分析为可比价值各成分建构权重系数ωｉ。ωｉ‘满足：（１）ωｉ≥０;（２）Σωｉ＝１;（３）ωｉ,间可直接比较;（４）ωｉ的大小与对应的可比价值成分变异一致。最后将职务评价值线性变换为工资率。在线性方程中配一个常数。和调节系数α以适合组织的管理约束条件。配合两个企业内部分配改革的研究结果显示了方差分析法的有效性和实用性。     

Job satisfaction of Japanese career women and its influence on turnover intention

To understand the relationship between current Japanese career women's job satisfaction and turnover, we analyzed 177 currently full-time employed individuals from our survey data. Participants ranged in age from 23 to 60, and were graduates of two four-year women's universities. We divided the participants into two groups based on whether or not they had changed jobs. As a result of factor analysis, we summarized job satisfaction into five factors: job interest, expectations of women, volume of work, health and welfare benefits, and career development. The scores of the 'health and welfare benefits' factor differed significantly between the two groups. A hierarchical logistic regression analysis found that low satisfaction with 'health and welfare benefits' tended to affect turnover intention. In addition, satisfaction with 'job interest' and 'volume of the job' tended to influence turnover intention, and at the same time these effects depended on the past turnover experience. From these study results, we suggest that current Japanese career women's turnover is mainly affected by the responsibilities of women in the face of the work–family conflict.     

Hello From the New Editor

The research goal was to identify potential “contextual” predictors of job performance for military officers. Exploratory factor analysis of job component ratings by military officers (n = 105) in the Irish Defence Forces revealed two “contextual” and two task-related factors. There were no differences in the extent to which contextual job components were a part of the jobs across four military units, but for one contextual factor, contextual components were a significant part of some jobs. Other research shows contextual components increment validity beyond both g and task-related job components. In this first reported study using a sample of military officers to examine contextual job behaviors, the findings suggest contextual components may also increment validity in officer selection models.