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Blackwell, Matthew; Honaker, James; King, Gary – Sociological Methods & Research, 2017
We extend a unified and easy-to-use approach to measurement error and missing data. In our companion article, Blackwell, Honaker, and King give an intuitive overview of the new technique, along with practical suggestions and empirical applications. Here, we offer more precise technical details, more sophisticated measurement error model…
Descriptors: Error of Measurement, Correlation, Simulation, Bayesian Statistics
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Ludtke, Oliver; Marsh, Herbert W.; Robitzsch, Alexander; Trautwein, Ulrich; Asparouhov, Tihomir; Muthen, Bengt – Psychological Methods, 2008
In multilevel modeling (MLM), group-level (L2) characteristics are often measured by aggregating individual-level (L1) characteristics within each group so as to assess contextual effects (e.g., group-average effects of socioeconomic status, achievement, climate). Most previous applications have used a multilevel manifest covariate (MMC) approach,…
Descriptors: Statistical Analysis, Sampling, Context Effect, Simulation
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Eid, Michael; Nussbeck, Fridtjof W.; Geiser, Christian; Cole, David A.; Gollwitzer, Mario; Lischetzke, Tanja – Psychological Methods, 2008
The question as to which structural equation model should be selected when multitrait-multimethod (MTMM) data are analyzed is of interest to many researchers. In the past, attempts to find a well-fitting model have often been data-driven and highly arbitrary. In the present article, the authors argue that the measurement design (type of methods…
Descriptors: Structural Equation Models, Multitrait Multimethod Techniques, Statistical Analysis, Error of Measurement
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Wang, Zhongmiao; Thompson, Bruce – Journal of Experimental Education, 2007
In this study the authors investigated the use of 5 (i.e., Claudy, Ezekiel, Olkin-Pratt, Pratt, and Smith) R[squared] correction formulas with the Pearson r[squared]. The authors estimated adjustment bias and precision under 6 x 3 x 6 conditions (i.e., population [rho] values of 0.0, 0.1, 0.3, 0.5, 0.7, and 0.9; population shapes normal, skewness…
Descriptors: Effect Size, Correlation, Mathematical Formulas, Monte Carlo Methods
Rowley, Glenn L. – 1986
Classroom researchers are frequently urged to provide evidence of the reliability of their data. In the case of observational data, three approaches to this have emerged: observer agreement, generalizability theory, and measurement error. Generalizability theory provides the most powerful approach given an adequate data collection design, but…
Descriptors: Classroom Observation Techniques, Classroom Research, Correlation, Elementary Education
Torrence, David R. – 1986
This was a replicative study that was initiated with a journeyman level certification instrument for an international union, when industry monitors were observed suggesting to examinees to "go with your first response." The question arose whether this was a researched-based practice. If not, wouldn't this practice inject constant error…
Descriptors: Adults, Correlation, Error of Measurement, Guessing (Tests)
Suddick, David E.; And Others – 1985
The Test of Standard Written English (TSWE) is a 50-item multiple choice instrument designed to assess the ability of college students to use English. In this study, based upon a sample of 45 students, the TSWE was revalidated with writing samples. The coefficient of 0.54 was most impressive given that the TSWE scores were restricted to those…
Descriptors: Correlation, Error of Measurement, Essay Tests, Higher Education
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
Thompson, Bruce; Borrello, Gloria M. – 1987
Attitude measures frequently produce distributions of item scores that attenuate interitem correlations and thus also distort findings regarding the factor structure underlying the items. An actual data set involving 260 adult subjects' responses to 55 items on the Love Relationships Scale is employed to illustrate empirical methods for…
Descriptors: Adults, Analysis of Covariance, Attitude Measures, Correlation
Cope, Ronald T. – 1987
This study used generalizability theory and other statistical concepts to assess the application of the Angoff method to setting cutoff scores on two professional certification tests. A panel of ten judges gave pre- and post-feedback Angoff probability ratings of items of two forms of a professional certification test, and another panel of nine…
Descriptors: Certification, Correlation, Cutting Scores, Error of Measurement
Shale, Doug – 1986
This study is an attempt at a cohesive characterization of the concept of essay reliability. As such, it takes as a basic premise that previous and current practices in reporting reliability estimates for essay tests have certain shortcomings. The study provides an analysis of these shortcomings--partly to encourage a fuller understanding of the…
Descriptors: Analysis of Variance, Correlation, Error of Measurement, Essay Tests
Schaeffer, Gary A.; And Others – 1984
The reliability of criterion referenced tests, which are often used to evaluate health education programs, may be conceptualized in different ways. Classical conceptualizations of test reliability have limited usefulness when applied to health-related criterion referenced tests. When a cutting score is set, test reliability can be represented as…
Descriptors: Correlation, Criterion Referenced Tests, Cutting Scores, Elementary Secondary Education
Banta, Trudy W.; And Others – 1987
The higher education community needs measures of the value added to student development by the college experience. The American College Testing Program (ACT) provides a quick, easy method for estimating the extent of student growth in general education. An institution can test seniors with the ACT College Outcome Measures Project (COMP) exam, then…
Descriptors: Academic Achievement, Achievement Gains, Analysis of Variance, College Students
Hummel, Thomas J.; Johnston, Charles B. – 1986
This study investigated seven methods for analyzing multivariate group differences. Bonferroni t statistics, multivariate analysis of variance (MANOVA) followed by analysis of variance (ANOVA), and five other methods were studied using Monte Carlo methods. Methods were compared with respect to (1) experimentwise error rate; (2) power; (3) number…
Descriptors: Analysis of Variance, Comparative Analysis, Correlation, Differences