Stereotype threat in manual labor settings for African American and Caucasian participants

Stereotype threat has primarily been studied with regard to test performance in academic settings, testing aptitude, ability, and intelligence, and it has been found to cause both behavioral and cognitive decrements. Although there is research on stereotype threat in the workplace, this too is usually conducted in upper‐level or more academically based job tasks. This article concentrates on how stereotype threat affects those in manual labor workplace settings. This research, however, sought to test subjects on a behavioral task in a workplace setting to see if the results mirror those in academia. Stereotype threat in academic settings has been shown to cause both behavioral and cognitive decrements. It was theorized that stereotype threat would cause performance decrements for the African American participants. Participants were undergraduate students—60 Caucasian and 60 African American. All performed two manual labor tasks, sorting and assembling nuts and bolts, and a math test, half while under stereotype threat and half without stereotype threat manipulation. Results yielded significant differences between the two conditions for African Americans on both the academic and nonacademic/manual labor tasks.     

Does adviser mentoring add value? A longitudinal study of mentoring and doctoral student outcomes

This study of the impact of doctoral adviser mentoring on student outcomes was undertaken in response to earlier research that found (a) students with greater incoming potential received more adviser mentoring, and (b) adviser mentoring did not significantly contribute to important student outcomes, including research productivity [Green, S. G., and Bauer, T. N. (1995). Personnel Psychology 48(3): 537–561]. In this longitudinal study spanning 5 1/2 years, the effect of mentorship on the research productivity, career commitment, and self-efficacy of Ph.D. students in the ‘hard’ sciences was assessed, while controlling for indicators of ability and attitudes at program entry. Positive benefits of mentoring were found for subsequent productivity and self-efficacy. Mentoring was not significantly associated with commitment to a research career.     

Incorporating Uncertainty Into Parallel Analysis for Choosing the Number of Factors via Bayesian Methods

A number of psychometricians have suggested that parallel analysis (PA) tends to yield more accurate results in determining the number of factors in comparison with other statistical methods. Nevertheless, all too often PA can suggest an incorrect number of factors, particularly in statistically unfavorable conditions (e.g., small sample sizes and low factor loadings). Because of this, researchers have recommended using multiple methods to make judgments about the number of factors to extract. Implicit in this recommendation is that, when the number of factors is chosen based on PA, uncertainty nevertheless exists. We propose a Bayesian parallel analysis (B-PA) method to incorporate the uncertainty with decisions about the number of factors. B-PA yields a probability distribution for the various possible numbers of factors. We implement and compare B-PA with a frequentist approach, revised parallel analysis (R-PA), in the contexts of real and simulated data. Results show that B-PA provides relevant information regarding the uncertainty in determining the number of factors, particularly under conditions with small sample sizes, low factor loadings, and less distinguishable factors. Even if the indicated number of factors with the highest probability is incorrect, B-PA can show a sizable probability of retaining the correct number of factors. Interestingly, when the mode of the distribution of the probabilities associated with different numbers of factors was treated as the number of factors to retain, B-PA was somewhat more accurate than R-PA in a majority of the conditions.     

Loglinear analysis of cross-classified ordinal data: applications in developmental research

This article provides an introduction to loglinear analysis of cross-classification tables, including tables with nominal and ordinal variables. Loglinear models offer several advantages over the more commonly used chi-square test of independence, including the ability to analyze 3-, 4-, and higher-way interactions, the ability to determine whether the association between variables is linear or nonlinear, and the ability to interpret scale scores assigned to categories of an ordinal variable. After a review of the advantages of loglinear modeling, the chi-square test of independence is compared with the loglinear model of independence. This comparison serves to introduce the notation and terminology of loglinear modeling. The overall strategy of loglinear modeling is introduced next; then special loglinear models for ordinal data are reviewed. Each model discussed in the article is applied to data from the developmental literature.     

The development of a hypertext-based tutor for Geographical Information Systems

Experience gained in the construction of the world's first Geographical Information Systems tutor, ARCDEMO, emphasised the importance of accommodating different learning strategies. ARCDEMO, while highly successful, suffered from static graphical displays, a single pre-determined access path, and an overall design which restricted its scope in use. The Geographical Information System Tutor (GIST) was developed to address these problems using Apple's object-orientated HyperCard software. GIST incorporates a 'point-and-click' interface with graphical cues to initiate operations which include animated demonstrations, step-by-step illustrative graphics and graphical displays capable of user modification. The system was designed with two alternative access modes, serial or browsing , to allow different classes of user to work through the material in their preferred fashion. The use of GIST in undergraduate and short course teaching has shown how users respond well to the interface and find graphical explanations easy to follow.     

General population norms about child abuse and neglect and associations with childhood experiences

BACKGROUND: A variety of definitions of child abuse and neglect exist. However, little is known about norms in the general population as to what constitutes child abuse and neglect or how perceived norms may be related to personal experiences. METHODS: We conducted a random-digit-dialed telephone survey of 504 Washington State adults. Respondents were asked whether they believed each of 34 behaviors, identified in focus groups as possibly physically, sexually or emotionally abusive or neglectful, constituted abuse or neglect. Then, they were asked whether they had experienced 33 of the behaviors. RESULTS: Five of the six behaviors with the highest levels of consensus were for sexual abuse, whereas only one emotionally abusive behavior had a high level of consensus (95% agreement). Consensus that spanking constituted abuse increased with severity. Those respondents who reported experiencing a particular behavior were significantly less likely to believe the behavior abusive for 11 of the 33 behaviors and more likely to believe the behavior abusive for two of the behaviors. Where comparisons were possible, there was a high level of consensus that behaviors identified as abusive in Child Protective Service operational definitions constituted abuse. CONCLUSIONS: Self-reported childhood experiences were associated with perceived norms about child abuse. A better understanding of community norms about child abuse and neglect may be helpful in communicating with the public or allow for better targeting of educational messages through the media, parenting education classes, and so forth.