Curriculum bias in standardized tests of reading decoding

This study examined overlap between four basal reading programs and the phonetic analysis subtest of three standardized achievement measures. Raw scores, percentages of items correct, grade equivalents, and percentile scores were computed for a hypothetical student who had mastered all grapheme-phoneme correspondences taught at each grade level. The results indicated that (a) programs differed in the number and sequence of phonics skills taught; (b) percentile and grade-equivalent scores differed across programs at each grade level for a given test; and (c) the proportion of grade-equivalent scores falling at or above expected grade levels differed across tests for a given program (range of 29%–71%). The implications for selecting and interpreting standardized measures of reading decoding are discussed.     

Optimal appropriateness measurement

The test-taking behavior of some examinees may be so idiosyncratic that their test scores may not be comparable to the scores of more typical examinees. Appropriateness measurement attempts to use answer patterns to recognize atypical examinees. In this report appropriateness measurement procedures are viewed as statistical tests for choosing between a null hypothesis of normal test-taking behavior and an alternative hypothesis of atypical test-taking behavior. Most powerful tests for inappropriateness are described together with methods for computing their power. A recursion greatly simplifying the calculation of optimal test statistics is described and illustrated.The work reported in this article was supported by United States Office of Naval Research contracts N00014-79C-0752, NR 154-445 and N00014-83K-0397, NR 150-518, Michael V. Levine, Principal Investigator.     

A comparison of the efficiency and accuracy of BILOG and LOGIST

Comparisons are made between BILOG version 2.2 and LOGIST 5.0 Version 2.5 in estimating the item parameters, traits, item characteristic functions (ICFs), and test characteristic functions (TCFs) for the three-parameter logistic model. Data analyzed are simulated item responses for 1000 simulees and one 10-item test, four 20-item tests, and four 40-item tests. LOGIST usually was faster than BILOG in producing maximum likelihood estimates. BILOG almost always produced more accurate estimates of individual item parameters. In estimating ICFs and TCFs BILOG was more accurate for the 10-item test, and the two programs were about equally accurate for the 20- and 40-item tests.I am grateful to Robert J. Mislevy, Martha L. Stocking, and Marilyn S. Wingersky for many helpful comments on an earlier version of this paper. I would also like to thank Hamid Kamrani and Bongmyoung Park for getting LOGIST and BILOG running and keeping them running under changing computer systems at CTB/McGraw-Hill.     

Construct and concurrent validity of the Cambridge neuropsychological automated tests in Portuguese older adults without neuropsychiatric diagnoses and with Alzheimer’s disease dementia

We aimed to analyze the construct and concurrent validity of the Rapid Visual Information Processing (RVP), Paired Associates Learning (PAL), Reaction Time (RTI), and Spatial Working Memory (SWM) tests from the Cambridge Neuropsychological Test Automated Battery (CANTAB®). Inclusion criteria were checked in a first session. The CANTAB and additional pencil-and-paper tests were administered within 1 week. The participants (aged 69–96 years) were 137 Portuguese adults without neuropsychiatric diagnoses and 37 adults with mild-to-moderate Alzheimer’s disease dementia. Comparisons were made between the CANTAB tests and between these tests and the Rey Complex Figure Test (RCFT), Verbal Fluency (VF) test, and some Wechsler Memory Scale-III and Wechsler Adult Intelligence Scale-III subtests. Most intra-test correlations were stronger than the CANTAB inter-test correlations. The RVP correlated more with VF animals (.44), the PAL with RCFT immediate recall (–.52), the RTI with RVP mean latency (.42), and the SWM with Spatial Span backward (–.39).     

幽门螺杆菌诊断方法评价

诊断幽门螺杆菌（Hp）感染有侵入性和非侵入性两类方法。前者需通过胃镜取胃粘膜活检,包括快速尿素酶试验（RUT）、病理组织学检查、细菌培养及基因检测等;非侵入性方法包括尿素呼气试验（UBT）、血清Hp抗体测定及Hp粪便抗原检测等。各种检测方法的敏感性及特异性不一,适用范围也不同,选择合适的检测方法需结合Hp感染特点、检测条件及费用情况等。     

Influence of Socio-Demographic Factors on SRAVEN Performance

This exploratory study aimed to investigate the influence of specific socio-demographic variables on a computerized test of non-verbal neuropsychological performance. Six hundred and thirty South African first year students were assessed using the University of Pennsylvania Computerized Neuropsychological Test Battery (PennCNP). Fluid intelligence was measured by a computerized version of the Raven's Progressive Matrices (SRAVENS). Analysis of variance indicated that gender, home language, quality of schooling, language of schooling and paternal education influenced performance on the SRAVEN. Stepwise multiple regression evidenced the importance of language, paternal education and high school language on SRAVENS responses. The assumption of non-verbal test scores as being independent of socio-demographic factors needs to be revisited as such independence cannot be maintained in light of such evidence.     

Comprehensive driving assessment: neuropsychological testing and on-road evaluation of brain injured patients

The study investigates the correspondence between neuropsychological test results and on-road driving performance among 55 patients with a CT-verified brain damage or documented neurological disorder (cerebrovascular accident: 43, traumatic brain injury: 5, multiple sclerosis: 4, other: 3). 5 patients showed unimpaired test profiles and passed the on-road evaluation. 18 patients showed severe neuropsychological deficits contrary to driving and were not recommended for on-road evaluation. Of the remaining 32 patients with some neuropsychological deficits, all 100% in the minor impaired group (n = 8) passed the driving evaluation, compared to 69% in the mildly impaired (n = 16) and 38% in the moderately impaired group (n = 8). Measures of reduced visuoconstructive ability, reaction time, visual attention, and awareness of cognitive impairments, were found to discriminate between groups. It is concluded that neuropsychological assessment of targeted functions provide an ecological valid prediction of driving skill after brain damage, but that on-road evaluation is needed as supplement in cases with ambiguous test findings.