Spatial ability is the skill associated with mental relations among objects, the process of maintaining the physical aspects of an object after mentally rotating it in space. Many studies report a strong association of spatial ability with success in various areas of health care, especially surgery, radiology and dentistry. To date, similar investigations in professional nursing could not be located. Registered nurses, employed in an acute care multi-hospital setting, were surveyed using the Shipley-2Block Pattern Test, the Group Embedded Figures Test, and a newly created test of general nursing knowledge. The sample size of 123 nurses was composed of 31 male nurses and 92 female nurses. Data was collected between May and August of 2013 and analyzed using R, version 2.15.2. The present study did not demonstrate a statistically significant effect for gender differences on two measures of spatial ability. However, Cohen’s d effect sizes for mean gender differences in the present study are consistent with prior studies. This may suggest the nursing profession is comparable with other professions where males perform higher than females on spatial ability. The present study should be considered an initial step toward evaluating the relevance of spatial ability in the performance of nursing care.

Circumscription and Compromise theory suggests self-concept and sex stereotype explain occupational preferences, including preferences for science, technology, engineering and mathematics (STEM). Support exists for sex differences between males and females in both science degrees and science careers. The main thrust of observed sex differences in science lies in the development of occupational interest, as it has been suggested females are encouraged away from science due to stereotypes and social pressure. The present study evaluates high school juniors and seniors (n = 295) to explore their preference for science as indicated by science motivation, attitude, academic experience, and interest. Latent Profile Analysis was used to model profiles of preferences for science with a person-centered approach. Then, the impact of self-concept variables was explored and four profiles of science interest were identified. Sex differences were identified based on science interest, but were not always in favor of males. Covariate analysis indicates vocabulary ability and personality as significantly different for students in the high science interest profile. Implications of these results and future research directions are discussed.

This present study examined the structural validity of a Chinese version of Multidimensional Work Ethic Profile (MWEP-C), using a large sample of Chinese parents and their young adult children (N = 1047). Confirmatory factor analysis (CFA) was applied to evaluate the model fit of sample data on three competing models using two randomly split stratified subsamples. Measurement invariance for these two generational respondents was checked using differential item functioning (DIF) analysis. The results indicated that MWEP-C provided a reasonable fit for the sample data and the majority of survey items produced similar item-level responses for individuals that do not differ on the attributes of work ethic across these two generations. DIF items were detected based on advanced and successive iterations. Monte Carlo simulations were also conducted for creating threshold values and for chi-square probabilities based on 1,000 replications. After identifying the DIF items, model fit improved and generational differences and similarities in work ethic between parents and their young adult children were also identified. The results suggested that the younger Chinese generations have higher work ethic mean scores on the dimensions of work centrality and morality/ethics while they have similarities on time concept, self-reliance, delay of gratification, and hard work …

Data-driven decision making is an integral part of higher education and it needs to be rooted in strong methodological and statistical practices. Key practices include the use and interpretation of effect sizes as well as a correct understanding of null hypothesis significance testing (NHST). Therefore, effect size reporting and interpreting practices in higher education journal articles represent an important area of inquiry. This study examined effect size reporting and interpretation practices of published quantitative studies in three core higher education journals: Journal of Higher Education, Review of Higher Education, and Research in Higher Education. The review covered a three-year publication period between 2013 and 2015. Over the three-year span, a total of 249 articles were published by the three journals. The number of articles published across the three years did not vary appreciably. The majority of studies employed quantitative methods (71.1%), about a quarter of them used qualitative methods (25.7%), and the remaining 3.2% used mixed methods. Seventy-three studies were removed from further analysis because they did not feature any quantitative analyses. The remaining 176 quantitative articles represented the sample pool. Overall, 52.8% of the 176 studies in the final analysis reported effect size measures as part of their major …