Documenting the adverse impact of resume screening: degree of ethnic identification matters

We investigated adverse impact of resume screening taking into account the intersectionality of minority characteristics. A correspondence audit test showed hiring discrimination depended on the strength of applicants’ ethnic identification. The odds for rejection were 4-6 times higher for resumes with ethnic minority identifiers (Arab names; Arab affiliations) when compared to ethnic majority identifiers (Dutch names; Dutch affiliations). Sex moderated the ethnicity effect but the particular effect (ethnic prominence; double jeopardy against females or males) depended on the type and degree of ethnic identification, lending support for a within-category approach to study ethnic prejudice. The four-fifths rule resulted in similar findings. Theoretical implications regarding the intersectional effects of minority characteristics and practical implications regarding ways to avert adverse impact during resume-screening are discussed

Recruiter Perceptions of Applicant Fit: Commonalities and Differences

To date, normative selection models have focused primarily on matching individual knowledges, skills, and abilities to job requirements. However, it has increasingly been argued that people should also be selected for fit to broader organizational characteristics such as strategy, culture and values. Despite the apparent reasonableness of these claims, there has been little research on how employers actually go about the task of screening or selecting for broader organizational fit. Accordingly, the present study examined how organizational recruiters assess applicant fit. Fifty-four campus recruiters in four colleges provided examples of best-fitting and worst-fitting applicants from just-completed interview schedules, along with specific descriptions of what it was that made each applicant fit or not fit . Examination of interview transcripts suggested that despite the recent emphasis on unique organizational values, strategies, or cultures in discussions of fit, by far the most frequently-mentioned determinants of fit were either (1) job-related coursework or experience, or (2) generally (rather than uniquely) desirable personal characteristics such as articulateness, positive personal appearance, and good general communication skills. However, some systematic differences were detected in the extent to which particular characteristics were sought by recruiters in different colleges or by those recruiting for different types of vacancies. Findings are related to previous research, and implications for applicants, employers, and future researchers are offered

Doing less but getting more: Improving forced-choice measures with IRT.

Multidimensional forced-choice (MFC) questionnaires typically show good validities and are resistant to impression management effects. However, they yield ipsative data, which distorts scale relationships and makes comparisons between people problematic. Depressed reliability estimates also led developers to create tests of potentially excessive length. We apply an IRT Preference Model to make more efficient use of information in existing MFC questionnaires. OPQ32i used for selection and assessment internationally is examined using this approach. The latent scores recovered from a much reduced number of MFC items are superior to the full test?s ipsative scores, and comparable to unbiased normative scores

Gender, power and emotions in the collaborative production of knowledge: A large-scale analysis of Wikipedia editor conversations

This paper studies the conversations behind the operations of a large-scale, online knowledge production community: Wikipedia. We investigate gender differences in the conversational styles (emotionality) and conversational domain choices (controversiality and gender stereotypicality of content) among contributors, and how these differences change as we look up the organizational hierarchy. In the general population of contributors, we expect and find significant gender differences, whereby comments and statements from women are higher-valenced, have more affective content, and are in domains that are less controversial and more female-typed. Importantly, these differences diminish or disappear among people in positions of power: female authorities converge to the behavior of their male counterparts, such that the gender gaps in valence and willingness to converse on controversial content disappear. We find greater sorting into topics according to their gender stereotypicality. We discuss mechanisms and implications for research on gender differences, leadership behavior, and conversational phenomena arising from such large-scale forms of knowledge production

Teaching psychology to computing students

The aim of this paper is twofold. The first aim is to discuss some observations gained from teaching Psychology to Computing students, highlighting both the wide range of areas where Psychology is relevant to Computing education and the topics that are relevant at different stages of students’ education. The second aim is to consider findings from research investigating the characteristics of Computing and Psychology students. It is proposed that this information could be considered in the design and use of Psychology materials for Computing students. The format for the paper is as follows. Section one will illustrate the many links between the disciplines of Psychology & Computing; highlighting these links helps to answer the question that many Computing students ask, what can Psychology offer to Computing? Section two will then review some of the ways that I have been involved in teaching Psychology to Computing students, from A/AS level to undergraduate and postgraduate level. Section three will compare the profiles of Computing and Psychology students (e.g. on age, gender and motivation to study), to highlight how an understanding of these factors can be used to adapt Psychology teaching materials for Computing students. The conclusions which cover some practical suggestions are presented in section four

The relationships between corporate meeting planner's personality traits and their choices of meeting places

This study is to determine the influence of personality on the novelty preference for corporate meeting destination choice. The Big-Five model of personality which consists of five traits namely openness, conscientiousness, extraversion,agreeableness, and neuroticism was employed to operationalise the personality construct. A total of 75 corporate meeting planners drawn from public listed service organisations were involved. The main method of data collection was questionnaire survey and multiple regression analysis was employed as the main statistical analysis. The results revealed that only openness (positively) and agreeableness (negatively) contributed significantly to the prediction of novelty preference for corporate meeting destination choice. This study, which also seeks to determine the relationships between some demographical variables and novelty preference, found that demographical information is not a good predictor of meeting destination choice. The main implication of this study is pertaining to the segmentation and targeting of the corporate meeting market. This study also helps in bridging the gap between tourism marketing and organisational research

Five Factor Model Personality Profiles of University of North Dakota Unmanned Aircraft Systems Students

A great deal of effort has been made to quantify personality characteristics in the pilots of manned aircraft. However, analysis of similar characteristics of individuals interested in piloting Unmanned Aircraft (UA) remains relatively unexplored. This research examined the Five Factor Model (FFM) personality profiles of individuals pursuing Unmanned Aircraft Systems (UAS) studies at the University of North Dakota (UND). Using the Big Five Inventory (BFI) general personality index, the responses of a UAS Student group (N=65) were compared to a Normative sample group (N=248) previously collected by Petros (2013). Apart from the two highest scoring factors in each group (i.e. conscientiousness (C) for the UAS sample and agreeableness (A) for the normative sample), the ordinal rank of mean factor scores showed similarity between samples. The sample group, comprised of students with either Pre UAS Operations, or UAS Operations declared as a first or second major, scored significantly lower in neuroticism (N) (p\u3c0.001), significantly higher in openness (O) (p\u3c0.01), and significantly higher in conscientiousness (C) (p\u3c0.001) than individuals in the Normative sample. Recommendations for future research encourage the inclusion of the BFI facet scores offered by Soto and John (2008), or application of the Revised NEO Personality Inventory for assessment of more specific traits within the domains of the FFM. Also recommended is the exploration of these personality traits as they appear within individuals, both civil and military, who have completed training for the operation of UAS platforms

Extending Social Learning Theories to Collectivist Cultures: The Effect of Behavior Modeling Training, Service Orientation and Language Skills on Service Skills and Behaviors

Although previous research has suggested that training approaches using behavior modeling yield better results than lecture-based approaches, these assumptions have not been tested in collectivist cultures. This study examined the effects of these alternative training methods for service knowledge and service behavior with a field experiment involving 117 Russian hotel employees. Despite no previous exposure to behavior modeling and no cultural context for service, the behavioral modeling training approach relative to the lecture-based approach yielded higher levels of both service knowledge and behavior. Since the setting was an English speaking hotel, difference in language ability were also considered and behavioral modeling was found to be a more effective training approach regardless of English ability. It also appears that service orientation is positively associated with both knowledge and behavior. The results indicate behavior modeling may be most helpful to those employees least predisposed to service or with lower language abilities