Cheating among University of Transkei students

The purpose of this study was to investigate the extent to which cheating in academic work occurs at this university. 58 participants registered for a postgraduate diploma in education responded to a questionnaire on cheating. Some students admitted engaging in every behaviour; however, the percentage of students so engaged was much lower than those reported among British and American institutions of higher learning. This may partly be attributed to respondents being reluctant to divulge their dishonesty.     

Written expression, Hooper, and blind rating

Much research has supported the assertion of Hooper, et al.'s 1994 claims that specific stimuli perform better than others in eliciting well-developed written responses; however, previous research was conducted with raters who were aware of the hypotheses. The present study of 29 middle school children validated previous support for Hooper, et al.'s assertions by implementing blind rating and, once again, finding that significant differences between Hooper-like and non-Hooper-like prompts existed for structural items but not for items of mechanics.     

A model of human performance on the traveling salesperson problem

A computational model is proposed of how humans solve the traveling salesperson problem (TSP). Tests of the model are reported, using human performance measures from a variety of 10-, 20-, 40-, and 60-node problems, a single 48-node problem, and a single 100-node problem. The model provided a range of solutions that approximated the range of human solutions and conformed closely to quantitative and qualitative characteristics of human performance. The minimum path lengths of subjects and model deviated by average absolute values of 0.0%, 0.9%, 2.4%, 1.4%, 3.5%, and 0.02% for the 10-, 20-, 40-, 48-, 60-, and 100-node problems, respectively. Because the model produces a range of solutions, rather than a single solution, it may find better solutions than some conventional heuristic algorithms for solving TSPs, and comparative results are reported that support this suggestion.     

Perception of genetic risk among genetic counselors

A mailed survey of female prenatal genetic counselors, obstetric nurses, and high school biology teachers was conducted to determine if these groups hold different attitudes toward genetic risk and to investigate the extent to which any differences result from the effect of different professional experiences. In this study, the participants were 166 genetic counselors, 116 obstetric nurses, and 78 biology teachers (n = 360). Survey participants completed a written questionnaire designed to assess their numeric estimate of the empiric risk for birth defects/genetic problems, their subjective perception of this risk, and their personal use of prenatal diagnosis. Genetic counselors were found to be less likely than the other groups to consider the frequency of birth defects/genetic problems as rare and were 10 times more likely than nurses and 8 times more likely than teachers to have had prenatal diagnosis. Furthermore, more than half of the prenatal diagnosis procedures had by genetic counselors were not medically indicated. These results suggest that genetic counselors have an increased perception of genetic risks relative to nurses or teachers. Possible explanations for this finding are discussed, and the potential role of discordant risk perception in creating biases in the genetic counseling process is explored.     

Can the MMPI-2 validity scales detect depression feigned by experts?

Major depression is one of the most frequently presented disorders for claims of psychiatric disability. Evidence also suggests that many individuals making claims of disability exaggerate or even fabricate mental illness. These facts suggest that the detection of feigned depression is an important task in psychiatric disability claim assessments. In this study, the capacity of a number of MMPI-2 validity scales and indicators to detect feigned depression was examined. Twenty-three mental health professionals with specific expertise and significant experience in assessing and treating major depression were asked to complete the MMPI-2 as if they were suffering from major depression. The MMPI-2 protocols of this sample were compared to those of a sample of patients diagnosed with major depression. Results indicated that the validity scales F, back F (FB), and the Dissimulation scale (Ds) were highly successful at distinguishing MMPI-2 protocols of feigned depression from bona fide depression. Replicating results from previous studies, however, FB proved most effective, outperforming all other validity scales and indicators, including F and Ds. These findings suggest that even experts are unable to feign major depression successfully on the MMPI-2, and that the FB scale might be the most effective indicator for detecting feigned depression.     

Repeated assessment of the Tower of Hanoi test: reliability and age effects

The purpose of this research was to analyze the effects of repeating an executive function test. Three versions of the Tower of Hanoi (TOH) test were repeated three times each, with test-retest intervals of 2 months. Two groups of children participated in the research (7.7 and 11.6 years, n = 22 and n = 28). Repeating the assessment improved the performance and decreased the total performance time in both of the groups. The older participants improved their performance faster than the younger ones. The reliability of all the scores, besides the error scores, seemed to be satisfactory after the first few assessments. The stability of the scores was maintained through all the assessments. The planning time did not explain the variations of the achieved score. The reasons for the initially low reliabilities are discussed, and modifications for the test administration and scoring are suggested.     

Varying intertrial interval reveals temporally defined memory deficits and enhancements in NTAN1-deficient mice

The N-end rule is one ubiquitin-proteolytic pathway that relates the in vivo half-life of a protein to the identity of its N-terminal residue. NTAN1 deamidates N-terminal asparagine to aspartate, which is conjugated to arginine by ATE1. An N-terminal arginine-bearing substrate protein is recognized, ubiquitylated by UBR1/E3α, and subsequently degraded by 26S proteasomes. Previous research showed that NTAN1-deficient mice exhibited impaired long-term memory in the Lashley III maze. Therefore, a series of studies, designed to assess the role of NTAN1 in short- and intermediate-term memory processes, was undertaken. Two hundred sixty mice (126 −/−; 134 +/ +) received Lashley III maze training with intertrial intervals ranging from 2–180 min. Results indicated that inactivation of NTAN1 amidase differentially affects short-, intermediate-, and long-term memory.     

The effects of averaging subjective probability estimates between and within judges

The average probability estimate of J > 1 judges is generally better than its components. Two studies test 3 predictions regarding averaging that follow from theorems based on a cognitive model of the judges and idealizations of the judgment situation. Prediction 1 is that the average of conditionally pairwise independent estimates will be highly diagnostic, and Prediction 2 is that the average of dependent estimates (differing only by independent error terms) may be well calibrated. Prediction 3 contrasts between- and within-subject averaging. Results demonstrate the predictions' robustness by showing the extent to which they hold as the information conditions depart from the ideal and as J increases. Practical consequences are that (a) substantial improvement can be obtained with as few as 2-6 judges and (b) the decision maker can estimate the nature of the expected improvement by considering the information conditions.     

Rater bias in psychological research: when is it a problem and what can we do about it?

Rater bias is a substantial source of error in psychological research. Bias distorts observed effect sizes beyond the expected level of attenuation due to intrarater error, and the impact of bias is not accurately estimated using conventional methods of correction for attenuation. Using a model based on multivariate generalizability theory, this article illustrates how bias affects research results. The model identifies 4 types of bias that may affect findings in research using observer ratings, including the biases traditionally termed leniency and halo errors. The impact of bias depends on which of 4 classes of rating design is used, and formulas are derived for correcting observed effect sizes for attenuation (due to bias variance) and inflation (due to bias covariance) in each of these classes. The rater bias model suggests procedures for researchers seeking to minimize adverse impact of bias on study findings.