A general longitudinal model is presented for estimating school effects and their stability. The model, capable of separating true changes from sampling and measurement error, controls statistically for effects of factors exogenous to the school system. The model is illustrated with data from large cohorts of students in Scotland. (SLD)

F. M. Lord's flexilevel, computerized adaptive testing (CAT) procedure was compared to an item-response theory-based CAT procedure that uses Bayesian ability estimation with various standard errors of estimates used for terminating the test. Ability estimates of flexilevel CATs were as accurate as were those of Bayesian CATs. (TJH)

Commonly employed measures of school quality can lead to very misleading results. Especially at the state level, nonrepresentative data such as aggregate Scholastic Aptitude Test scores provide very biased measures of school performance. Far superior are direct estimates of achievement growth. (SK)

Discusses problems involved with surveying and assessing literacy rates in developing nations. Defines current debates over literacy measurement, classification, and surveying. Examines and questions current assumptions linking literacy policy and economic development. Describes models for surveying and measuring literacy and numeracy skill…

Derivation of asymptotic variance-covariance matrices for item and personal parameters in item response models is demonstrated for one- and two-parameter models using maximum likelihood estimation. The results can be used in incomplete designs and in estimation of the accuracy of various designs beforehand. (TJH)

Results from this study indicate that a cutoff consisting of the mean plus a half standard deviation is more desirable than the original mean plus one standard deviation strategy for categorizing respondents into a "pure" identity status. Status-specific comparisons indicated groups were not significantly different on measures of…

Type I error rates of F. M. Lord's chi square test for differential item functioning were investigated using Monte Carlo simulations with marginal maximum likelihood estimation and marginal Bayesian estimation algorithms. Lord's chi square did not provide useful Type I error control for the three-parameter logistic model at these sample sizes.…

Techniques for adjusting census figures are discussed, with a focus on sampling error, uncertainty of estimates resulting from the luck of sample choice. Computer simulations illustrate the ways in which the smoothing algorithm may make adjustments less, rather than more, accurate. (SLD)

Addresses effects of reporting bias on spouses' answers to questions by comparing one-partner and couple data on marital violence. Results indicate significant underreporting of violence, and that some predictors of violence are significantly related to underreporting by one spouse. (JPS)

This article cautions against complacency in "subjective" assessment, arguing that even tests designed to reflect the development of learner-centered, interactive and communicative approaches to teaching English may have cultural bias built into their assessment criteria. The reply article singles out as an unresolved issue whether or…

In a meta-analysis of the effect of adding hypnosis to cognitive-behavioral treatments for weight reduction, additional data were obtained from authors of two previous studies, and computational inaccuracies in the previous meta-analyses were corrected. Discusses findings. Correlational analyses indicated that the benefits of hypnosis increased…

Because surveys now can be implemented with relative ease and little cost, many researchers are overlooking the basic principles of survey research. This chapter discusses sources of error that researchers should consider when conducting a survey, and gives readers basic suggestions for reducing error. (Contains 1 table and 1 figure.)

The history of the computer usage in high school laboratories is discussed. Students learned scientific methods by acknowledging measurement errors, using significant digits, questioning their own results, and without doubts, they benefited from applying skill learned in mathematics classes.

This study compares the ability of the multiple indicators, multiple causes (MIMIC) confirmatory factor analysis model to correctly identify cases of differential item functioning (DIF) with more established methods. Although the MIMIC model might have application in identifying DIF for multiple grouping variables, there has been little…

This study examined the effects of controlling the level of difficulty on the sensitivity of repeated curriculum-based measurement (CBM). Participants included 99 students in Grades 2 through 5 who were administered CBM reading passage probes twice weekly over an 11-week period. Two sets of CBM reading progress monitoring materials were compared:…