Raven's test performance of sub-Saharan Africans: Average performance,psychometric properties,and the Flynn Effect

This paper presents a systematic review of published data on the performance of sub-Saharan Africans on Raven's Progressive Matrices. The specific goals were to estimate the average level of performance, to study the Flynn Effect in African samples, and to examine the psychometric meaning of Raven's test scores as measures of general intelligence. Convergent validity of the Raven's tests is found to be relatively poor, although reliability and predictive validity are comparable to western samples. Factor analyses indicate that the Raven's tests are relatively weak indicators of general intelligence among Africans, and often measure additional factors, besides general intelligence. The degree to which Raven's scores of Africans reflect levels of general intelligence is unknown. Average IQ of Africans is approximately 80 when compared to US norms. Raven's scores among African adults have shown secular increases over the years. It is concluded that the Flynn Effect has yet to take hold in sub-Saharan Africa.     

Using university rankings as a potential indicator of student experiences in American higher education

Students at America’s most renowned private universities face different acceptance rates, college wealth, class sizes, and potential graduate earnings even in comparison with students at the nation’s highest-ranking public institutions. The analyses that led to these findings frequently focused on national or state-wide comparisons of public versus private universities. This paper contrasts these studies by analysing a fixed group of colleges, those regularly listed in the global top 50 of research and reputation rankings. It argues that even within this small subset of colleges, the highest-ranking public universities have more in common with their similarly positioned private counterparts than with lower ranking public institutions; a finding reflected in assessments of private colleges. Subsequently, the paper finds that student experiences are more likely defined by a college’s reputational rank than by an institution’s public or private status, endowment, or acceptance rates, however, the same was found not to be true of potential graduate earnings.     

Principal component analysis using LISREL 8

The object of this article is to demonstrate that the widely disseminated program LISREL 8 can be used to carry out principal component analyses. LISREL 8 offers a number of useful possibilities including multigroup principal component analysis and principal component regression. Several illustrative analyses are reported.     

A Test for Cluster Bias: Detecting Violations of Measurement Invariance Across Clusters in Multilevel Data

We present a test for cluster bias, which can be used to detect violations of measurement invariance across clusters in 2-level data. We show how measurement invariance assumptions across clusters imply measurement invariance across levels in a 2-level factor model. Cluster bias is investigated by testing whether the within-level factor loadings are equal to the between-level factor loadings, and whether the between-level residual variances are zero. The test is illustrated with an example from school research. In a simulation study, we show that the cluster bias test has sufficient power, and the proportions of false positives are close to the chosen levels of significance.     

Measurement Bias in Multilevel Data

Measurement bias can be detected using structural equation modeling (SEM), by testing measurement invariance with multigroup factor analysis (Jöreskog, 1971;Meredith, 1993;Sörbom, 1974) MIMIC modeling (Muthén, 1989) or restricted factor analysis (Oort, 1992,1998). In educational research, data often have a nested, multilevel structure, for example when data are collected from children in classrooms. Multilevel structures might complicate measurement bias research. In 2-level data, the potentially “biasing trait” or “violator” can be a Level 1 variable (e.g., pupil sex), or a Level 2 variable (e.g., teacher sex). One can also test measurement invariance with respect to the clustering variable (e.g., classroom). This article provides a stepwise approach for the detection of measurement bias with respect to these 3 types of violators. This approach works from Level 1 upward, so the final model accounts for all bias and substantive findings at both levels. The 5 proposed steps are illustrated with data of teacher–child relationships.     

Teacher beliefs about the cognitive diagnostic information of classroom‐ versus large‐scale tests: implications for assessment literacy

Classroom teachers are in the front line of introducing students to formal learning, including assessments, which can be assumed to continue for students should they extend their schooling past the expected mandatory 12 years. The purpose of the present investigation was to survey secondary teachers’ beliefs of classroom and large‐scale tests for (a) providing information about students’ learning processes, (b) influencing meaningful student learning, and (c) eliciting learning or test‐taking strategies for successful test performance. Secondary teachers were surveyed because a majority of large‐scale tests are developed for secondary students (e.g., PISA, TIMSS). Results suggested that in comparison to large‐scale tests teachers believe classroom tests provide more information about student learning processes, are more likely to influence meaningful student learning, and are more likely to require learning over test‐taking strategies. The implications of these results for assessment literacy are explored.     

The effect of rowing to exhaustion on frontal plane angular changes in the lumbar spine of elite rowers

Abstract

Lumbar spine injury is common in rowers and examination of spinal kinematics may improve the understanding of this injury's prevalence. This study aimed to examine the range of frontal plane angular displacement (AD) in the lumbar spine at L3 during ergometer rowing and to investigate the effect of exhaustion on lumbar kinematics. Twelve elite male rowers completed an incremental test on a Concept 2 ergometer. Lumbar AD at L3 was measured continually throughout the rowing trial using a Spectrotilt Inclinometer and blood lactate was sampled at 3-minute intervals. AD of between 4.7° and 8.8° was recorded at L3. There was a significant increase in AD between the first and last stage of the test (mean increase = 4.1 ± 1.94°, 95% Confidence Interval [CI], 2.9 to 5.3°, t = 7.36, P = 0.000014). Incremental rise in AD was associated with an incremental rise in blood lactate but regression confirmed that only stroke rate was a significant predictor for increasing angle. Thus there is a statistically significant increase in frontal plane AD at L3 over the course of an incremental exercise test although it cannot be confirmed if this is as a result of exhaustion. The values of AD confirm that there is motion in the frontal plane in ergometer rowing.