Cognitive abnormalities and cerebral perfusion defects in a community-dwelling cohort of elderly men with MMSE within the normal range

Objectives: Mini Mental State Examination’s (MMSE’s) sensitivity in its upper level is questioned, hence we investigated cognitive abnormalities and defects in regional cerebral blood flow (rCBF) in elderly with MMSE scores ≥24.

Methods: One hundred and four men at age 81 with MMSE scores ≥24 (mean 28.4 ± 1.7), no dementia or stroke, were examined with neuropsychological test battery, and their rCBF was estimated using ^99mTc-HMPAO SPECT.

Results: MMSE was very sparsely correlated with rCBF. Instead, visuo-spatial tests were correlated with rCBF in parietal and occipital lobe, verbal tests with rCBF in frontal and temporal-parietal lobes, and most of all between Digit Symbol and all rCBF regions, especially in subcortical gray and white matter. In a cluster of low achievers, test of Synonyms, followed by Digit Symbol and Benton test, had highest discriminatory importance. Low achievers had generalized rCBF changes especially in subcortical areas. Only lower scores on two MMSE items, figure drawing and calculation, could discriminate the clusters.

Conclusion: A substantial number of octogenarian men with MMSE ≥ 24p have widespread rCBF changes corresponding to a decreased speeded performance and verbal capacity.     

Effects of Situational Judgment Test Format on Reliability and Validity

Single-response situational judgment tests (SRSJTs) differ from multiple-response SJTs (MRSJTS) in that they present test takers with edited critical incidents and simply ask test takers to read over the action described and evaluate it according to its effectiveness. Research comparing the reliability and validity of SRSJTs and MRSJTs is thus far extremely limited. The study reported here directly compares forms of a SRSJT and MRSJT and explores the reliability, convergent validity, and predictive validity of each format. Results from this investigation present preliminary evidence to suggest SRSJTs may produce internal consistency reliability, convergent validity, and predictive validity estimates that are comparable to those achieved with many traditional MRSJTs. We conclude by discussing practical implications for personnel selection and assessment, and future research in psychological science more broadly.     

Testing Serial Crime Events for Randomness in Day‐of‐Week Patterns with Small Samples

This paper discusses exact tests for evaluating whether a series of offences are randomly distributed across days of the week for small sample sizes. The context is if an analyst has identified a series of related events, can the analyst determine if those events are randomly distributed with respect to the day‐of‐week given only a few offences? This paper develops exact reference distributions because the number of potential permutations is small, and this research finds that the likelihood ratio G‐test under realistic circumstances is quite powerful. Only three crimes need to occur on the same day of the week to reject the null. Several examples of using the test under realistic circumstances are illustrated; a series of thefts of catalytic converters where the exact dates are unknown, gang shootings, and arsons over a year. Copyright © 2015 John Wiley & Sons, Ltd.     

Neuropsychological predictors of conversion to probable Alzheimer disease in elderly with mild cognitive impairment

In the field of neuropsychology, it is essential to determine which neuropsychological tests predict Alzheimer's disease (AD) in people with mild cognitive impairment (MCI) and which cut‐off points should be used to identify people at greater risk for converting to dementia. The aim of the present study was to analyse the predictive value of the cognitive tests included in a neuropsychological battery for conversion to AD among MCI participants and to analyse the influence of some sociodemographic variables – sex, age, schooling – and others, such as follow‐up time and emotional state. A total of 105 participants were assessed with a neuropsychological battery at baseline and during a 3‐year follow‐up period. For the present study, the data were analysed at baseline. During the follow‐up period, 24 participants (22.85%) converted to dementia (2.79 ± 1.14 years) and 81 (77.14%) remained as MCI. The logistic regression analysis determined that the long delay cued recall and the performance time of the Rey figure test were the best predictive tests of conversion to dementia after an MCI diagnosis. Concerning the sociodemographic factors, sex had the highest predictive power. The results reveal the relevance of the neuropsychological data obtained in the first assessment. Specifically, the data obtained in the episodic verbal memory tests and tests that assess visuospatial and executive components may help to identify people with MCI who may develop AD in an interval not longer than 4 years, with the masculine gender being an added risk factor.     

Nonparametric goodness-of-fit tests for the rasch model

A Monte Carlo algorithm realizing a family of nonparametric tests for the Rasch model is introduced which are conditional on the item and subject marginals. The algorithm is based on random changes of elements of data matrices without changing the marginals; most powerful tests against all alternative hypotheses are given for which a monotone characteristic may be computed from the data matrix; alternatives may also be composed. Computation times are long, but exactp-values are approximated with the quality of approximation only depending on calculation time, but not on the number of persons. The power and the flexibility of the procedure is demonstrated by means of an empirical example where, among others, indicators for increased item similarities, the existence of subscales, violations of sufficiency of the raw score as well as learning processes were found. Many of the features described are implemented in the program T-Rasch 1.0 by Ponocny and Ponocny-Seliger (1999).The author wishes to thank Alexander Kaba, Birgit Bukasa, and Ulrike Wenninger of Österreichisches Kuratorium für Verkehrssicherheit (Austrian Traffic Safety Board) for allowing a data set to be used for the empirical example, and Elisabeth Ponocny-Seliger and the reviewers for many helpful comments. The menu-driven program T-Rasch 1.0 by Ponocny and Ponocny-Seliger (1999) can be obtained from Assessment Systems Corporation (http: //www.assess.com) or from the authors. (Note that it also performs exact person fit tests.)     

Evaluating correlations in studies of personality and behavior: Beyond the number of significant findings to be expected by chance

When large numbers of statistical tests are computed, such as in broad investigations of personality and behavior, the number of significant findings required before the total can be confidently considered beyond chance is typically unknown. Employing modern software, specially written code, and new procedures, the present article uses three sets of personality data to demonstrate how approximate randomization tests can evaluate (a) the number of significant correlations between a single variable and a large number of other variables, (b) the number of significant correlations between two large sets of variables, and (c) the average size of a large number of effects. Randomization tests can free researchers to fully explore large data sets and potentially have even wider applicability.     

Survey of New Zealand truck driver fatigue and fitness for duty

This paper presents recent research into compliance with current driving hours regulations, the effectiveness of using driving hours to predict fatigue, and alternative compliance and enforcement options. The paper describes results of a major survey of truck driver fatigue in New Zealand, a review of international compliance and enforcement procedures, and research focussing on the social forces and influences that affect truck drivers. The survey of truck drivers was based on interviews and performance tests collected from 600 truck drivers at depots, wharves, markets, and other locations throughout the North Island of New Zealand. The interviews included: questions on driver demographic and work/rest patterns, drivers' attitudes towards fatigue, propensity towards daytime sleepiness, and a self-assessment of the driver's momentary level of fatigue. In addition, a simulator-based performance test of driving was undertaken. The performance test included a combination of a standard driving task, a dual-axis sub-critical tracking task (maintaining speed and steering in a controlled but unstable environment, a virtual roadway affected by the appearance of random wind gusts requiring steering correction), and a tertiary or side-task requiring driver monitoring and periodic responses. The initial results from the first 100 drivers have found a sizable number of drivers exceeding the allowable driving hours, high levels of fatigue and sleepiness, and interesting differences between line-haul and local delivery drivers. A related research project into the social processes and relationships that affect truck drivers has resulted in a good understanding of the social conditions that influence cultural change and the actions of truck drivers and fleet managers. In this paper we will have particular regard to these processes in the construction of ideas concerning safety. This includes an understanding of the role of major stakeholders, such as freight forwarders and the enforcement agencies with respect to drivers and their conditions, actions and understanding of the road transport industry. This knowledge coupled with the survey results and an understanding of compliance and enforcement alternatives will be used to explore potential fatigue management options.     

Text anxiety on cognitive ability test can result in differential predictive validity of academic performance

This paper investigates whether test anxiety leads to differential predictive validity in academic performance. Our results show that the predictive validity of a cognitive ability test, using final exam performance as a criterion, decreased a small amount as Worry (the cognitive aspect of anxiety) increased but was unaffected by Emotionality (the physiological aspect of anxiety). These results suggest that cognitive ability tests may be more useful as predictors of performance for low anxiety test-takers. These findings are discussed in the context of the interference and deficit perspectives of test anxiety.