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Humphrey, Stephen E., Ed.; LeBreton, James M., Ed. – APA Books, 2019
Organizational relationships are complex. Employees do their work as individuals, but also as members of larger teams. They exist within various social networks, both within and spanning organizations. Multilevel theory is at the core of the organizational sciences, and unpacking multilevel relationships is fundamental to the challenges faced…
Descriptors: Hierarchical Linear Modeling, Theories, Institutional Research, Social Networks
Lohr, Sharon; Schochet, Peter Z.; Sanders, Elizabeth – National Center for Education Research, 2014
Suppose an education researcher wants to test the impact of a high school drop-out prevention intervention in which at-risk students attend classes to receive intensive summer school instruction. The district will allow the researcher to randomly assign students to the treatment classes or to the control group. Half of the students (the treatment…
Descriptors: Educational Research, Research Design, Data Analysis, Intervention
Teacher Incentive Fund, US Department of Education, 2016
The U.S. Department of Education (ED) expects all Teacher Incentive Fund (TIF) grantees to conduct an evaluation of their programs. Experience with earlier rounds of TIF grants has shown that evaluations can provide valuable information for managing and improving TIF-supported activities, as well as evidence that these activities have had a…
Descriptors: Program Evaluation, Questioning Techniques, Qualitative Research, Statistical Analysis
Foorman, Barbara R.; Petscher, Yaacov; Schatschneider, Chris – Florida Center for Reading Research, 2015
The Florida Center for Reading Research (FCRR) Reading Assessment (FRA) consists of computer-adaptive reading comprehension and oral language screening tasks that provide measures to track growth over time, as well as a Probability of Literacy Success (PLS) linked to grade-level performance (i.e., the 50th percentile) on the reading comprehension…
Descriptors: Elementary School Students, Middle School Students, High School Students, Written Language
Rupp, Andre A. – International Journal of Testing, 2007
One of the most revolutionary advances in psychometric research during the last decades has been the systematic development of statistical models that allow for cognitive psychometric research (CPR) to be conducted. Many of the models currently available for such purposes are extensions of basic latent variable models in item response theory…
Descriptors: Psychometrics, Research, Models, Item Response Theory

Kunnan, Antony John – Language Testing, 1998
Provides an introduction to structural equation modelling (SEM) for language research, including: general objectives of SEM applications relevant to language assessment; methodology and statistical assumptions about data that must be met; commonly-used SEM steps and concepts; application matters, with sample models; and recent critical discussions…
Descriptors: Language Research, Language Tests, Mathematical Formulas, Models
Rosenthal, James A. – Springer, 2011
Written by a social worker for social work students, this is a nuts and bolts guide to statistics that presents complex calculations and concepts in clear, easy-to-understand language. It includes numerous examples, data sets, and issues that students will encounter in social work practice. The first section introduces basic concepts and terms to…
Descriptors: Statistics, Data Interpretation, Social Work, Social Science Research

Burnett, J. Dale – Canadian Journal of Education, 1983
Illustrates the basic concepts of the loglinear approach to research analysis. Explains what type of research questions are answerable and what type of data will lend itself to a loglinear analysis approach. Three educational research examples illustrate this concept. (TLJ)
Descriptors: Data, Educational Researchers, Models, Research Tools

Miller, John – Technical Communication: Journal of the Society for Technical Communication, 1994
Presents an approach to document numbering, document titling, and process measurement which, when used with fundamental techniques of statistical process control, reveals meaningful process-element variation as well as nominal productivity models. (SR)
Descriptors: Management Systems, Models, Statistical Analysis, Technical Writing
Martin, Robert E.; Hokayem, Charles M.; Leaf, Jed; Perry, John – Business Officer, 2002
Describes a statistical model that can be used to compute an institution's expected enrollment yield and an average discount to obtain a net tuition and fees forecast for the coming year; using this information, resource allocation decisions can be made earlier and with confidence. (EV)
Descriptors: Enrollment, Higher Education, Income, Models
Arnold, Mit – Diagnostique, 1983
The paper reviews a series of models designed to reduce bias in the assessment process and describes the intent of each model and their interactive effect in the process of nonbiased educational evaluation. (Author/CL)
Descriptors: Disabilities, Elementary Secondary Education, Models, Statistical Analysis

Busk, Patricia L.; Marascuilo, Leonard A. – Australian Journal of Education, 1989
An extension of the discussion of loglinear models presents post hoc procedures for statistically evaluating treatment effects, contrasts, and confidence intervals, illustrating methods for main effect and interaction contrasts and paying special attention to odds ratios and their interval estimates. Procedures for treating variables as…
Descriptors: Estimation (Mathematics), Hypothesis Testing, Interaction, Mathematical Models
Noonan, Richard; Wold, Herman – Evaluation in Education: An International Review Series, 1983
Tries to develop a method for empirical evaluations of the impact of a school system on measurable cognitive and affective outcomes in students. Concentrates on the Partial Least Squares (PLS) methodology, and illustrates the potential of PLS for system analysis. (BW)
Descriptors: Academic Achievement, Data Analysis, Elementary Secondary Education, Evaluation Methods

Marascuilo, Leonard A.; Slaughter, Robert E. – Journal of Educational Measurement, 1981
Six statistical methods for identifying possible sources of bias in standardized test items are presented. The relationship between chi-squared methods and item-response theory methods are also discussed. (Author/BW)
Descriptors: Comparative Analysis, Latent Trait Theory, Mathematical Models, Standardized Tests

Wilson, Mark; Moore, Stephen – Australian Journal of Education, 1989
A guide to the use of microcomputer statistical analysis packages for loglinear analysis describes the application of one popular package to a straightforward problem and critically surveys features available in four of the leading packages. Survey findings and suggestions for further development are included. (Author/MSE)
Descriptors: Computer Oriented Programs, Computer Software, Mathematical Models, Media Selection