RIASEC TYPES AND BIG FIVE TRAITS AS PREDICTORS OF EMPLOYMENT STATUS AND NATURE OF EMPLOYMENT

This prospective study investigated the validity of the Five-Factor Model (FFM) of personality and Holland's RIASEC vocational interest typology in predicting employment status and the nature of employment in a sample of graduating college seniors as they entered the job market. A sample of 934 senior college graduates enrolled in various academic subjects filled in Costa and McCrae's NEO-PI-R (1992) and Holland's Self-Directed Search (1979). One year after graduation, they were requested to describe their labor market positions and jobs, using the Position Classification Inventory (PCI; Gottfredson & Holland, 1991). Six hundred and twelve people responded to the second call, of whom 335 were employed and 66 unemployed. The incremental validity of the 2 models over and above each other was investigated in the sample of employed and unemployed subjects ( N = 401) using stepwise regression analysis. The results showed that Extraversion and Conscientiousness were the only valid predictors of employment status and that vocational interests did not show incremental validity over and above these factors. The RIASEC types, however, were clearly superior in explaining the nature of employment, underscoring the validity of Holland's hexagonal calculus assumptions. Employment reflecting Realistic, Social and Enterprising characteristics was to a limited extent predicted by four of the Big Five, except Neuroticism, over and above the RIASEC types. The findings are discussed in the framework of Schneider's Attraction-Selection-Attrition (ASA) theory (1987) concluding that Holland's RIASEC model is more employee-driven, being better at predicting the nature of employment, whereas the FFM is more employer-oriedted, with greater validity in evaluating the employability and employment status of applicants.     

Unsupervised discovery of nonlinear structure using contrastive backpropagation

We describe a way of modeling high-dimensional data vectors by using an unsupervised, nonlinear, multilayer neural network in which the activity of each neuron-like unit makes an additive contribution to a global energy score that indicates how surprised the network is by the data vector. The connection weights that determine how the activity of each unit depends on the activities in earlier layers are learned by minimizing the energy assigned to data vectors that are actually observed and maximizing the energy assigned to "confabulations" that are generated by perturbing an observed data vector in a direction that decreases its energy under the current model.     

Empirically derived job characteristics measures and the motivating potential score

The relationship of job satisfaction to empirically derived measures of job perceptions originally investigated by Zaccaro and Stone (1988) and to measures of the job from the Job Diagnostic Survey (JDS: Hackman & Old-ham, 1975) was investigated. The multiplicative nature of the JDS scales forming the Motivating Potential Score (MPS) was tested. The extent to which job satisfaction mediated the relationship between job perceptions and intent to leave was explored using a path analysis. The empirically derived measures of Zacarro and Stone were found to account for a significant increment in variance in the case of satisfaction with work itself, but not with overall satisfaction or satisfaction with other job facets. No evidence for the multiplicative formulation of the MPS was found. Both perception of job danger and a linear composite motivating potential scale exhibited direct effects on intent to leave not mediated by job satisfaction.This paper is based, in part, on a Master's thesis by Michelle Hinton under the direction of Michael Biderman.     

The influence of negative advertising frames on political cynicism and politician accountability

This research examined the influence of negative political advertising frames on the thoughts and feelings people generate in response to campaign advertising. Preparing and conducting this investigation involved the use of a multiple‐method strategy. Content analysis identified two advertising frames (i.e., candidate theme and ad hoc issue advertisements) and two experiments separately induced political cynicism and politician accountability. Three hundred and sixty people participated in the experimental studies, in which they read and responded, using a thought‐listing technique, to candidate theme or ad hoc issue negative advertisements. Results demonstrated that participants were more likely to generate cynical comments and hold politicians accountable for the country's ills when reading candidate theme advertisements than ad hoc issue advertisements. The results indicate that this contributes to a political climate of cynicism and may function to erode the electorate's overall trust in government.