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Topping, K. J.; Samuels, J.; Paul, T. – British Educational Research Journal, 2008
To explore whether different balances of fiction/non-fiction reading and challenge might help explain differences in reading achievement between genders, data on 45,670 pupils who independently read over 3 million books were analysed. Moderate (rather than high or low) levels of challenge were positively associated with achievement gain, but…
Descriptors: Independent Reading, Reading Achievement, Achievement Gains, Gender Differences
Kulick, Edward – 1983
This paper presents a promising new item bias detection technique that derives practical appeal from its simplicity and economy, and provides data relating to the method's consistency across samples. The proposed regression on item characteristics (RIC) method is a straightforward and inexpensive approach to the study of item bias, based on…
Descriptors: Correlation, Cost Effectiveness, Data Analysis, Difficulty Level
Reckase, Mark D.; And Others – 1985
Factor analysis is the traditional method for studying the dimensionality of test data. However, under common conditions, the factor analysis of tetrachoric correlations does not recover the underlying structure of dichotomous data. The purpose of this paper is to demonstrate that the factor analyses of tetrachoric correlations is unlikely to…
Descriptors: Correlation, Difficulty Level, Factor Analysis, Item Analysis
Mason, Emanuel; Zollman, Alan – Focus on Learning Problems in Mathematics, 1992
This study explored the relationship between traditional item difficulty and cognitive complexity as measured by response time. Rural students (n=43) responded to computer-based tests of the Individualized Study by Technology General Mathematics Course developed by Alaska's Department of Education. Results indicated that mean response times were…
Descriptors: Cognitive Measurement, Cognitive Processes, Computer Assisted Instruction, Computer Assisted Testing
Jones, Patricia B.; And Others – 1987
In order to determine the effectiveness of multidimensional scaling (MDS) in recovering the dimensionality of a set of dichotomously-scored items, data were simulated in one, two, and three dimensions for a variety of correlations with the underlying latent trait. Similarity matrices were constructed from these data using three margin-sensitive…
Descriptors: Cluster Analysis, Correlation, Difficulty Level, Error of Measurement
Muraki, Eiji – 1984
The TESTFACT computer program and full-information factor analysis of test items were used in a computer simulation conducted to correct for the guessing effect. Full-information factor analysis also corrects for omitted items. The present version of TESTFACT handles up to five factors and 150 items. A preliminary smoothing of the tetrachoric…
Descriptors: Comparative Analysis, Computer Simulation, Computer Software, Correlation
Tucker, Ledyard R.; And Others – 1986
A Monte Carlo study of five indices of dimensionality of binary items used a computer model that allowed sampling of both items and people. Five parameters were systematically varied in a factorial design: (1) number of common factors from one to five; (2) number of items, including 20, 30, 40, and 60; (3) sample sizes of 125 and 500; (4) nearly…
Descriptors: Correlation, Difficulty Level, Educational Research, Expectancy Tables
Simmons, Johnny O. – 1985
This study examined the need to develop reliable and valid procedures for screening large populations for possible speech and language problems and the use of the Fluharty Preschool Speech and Language Screening Test (FPSLST) as such a device. The test was administered to 260 preschool children, ages three to six. There were 166 Blacks and 94…
Descriptors: Black Students, Comprehension, Correlation, Difficulty Level