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Johnson, Eugene G.; Rust, Keith F. – Journal of Educational Statistics, 1992
The use of sampling weights in deriving population estimates for the National Assessment of Educational Progress (NAEP) and the effects of nonresponse and undercoverage on those estimates are described. The estimation of sampling variability from complex sample surveys is also reviewed, concentrating on the jackknife repeated replication…
Descriptors: Educational Assessment, Elementary Secondary Education, Estimation (Mathematics), Mathematical Models

Arnold, Barry C.; And Others – Psychometrika, 1993
Inference is considered for the marginal distribution of "X" when ("X", "Y") has a truncated bivariate normal distribution. The "Y" variable is truncated, but only the "X" values are observed. A sample of 87 Otis test scores is shown to be well described by this model. (SLD)
Descriptors: Admission (School), Computer Simulation, Equations (Mathematics), Mathematical Models
Marsh, Herbert W.; Hau, Kit-Tai; Wen, Zhonglin – Structural Equation Modeling, 2004
Goodness-of-fit (GOF) indexes provide "rules of thumb"?recommended cutoff values for assessing fit in structural equation modeling. Hu and Bentler (1999) proposed a more rigorous approach to evaluating decision rules based on GOF indexes and, on this basis, proposed new and more stringent cutoff values for many indexes. This article discusses…
Descriptors: Statistical Significance, Structural Equation Models, Evaluation Methods, Evaluation Research
Lipson, Kay – Mathematics Education Research Journal, 2003
Many statistics educators believe that few students develop the level of conceptual understanding essential for them to apply correctly the statistical techniques at their disposal and to interpret their outcomes appropriately. It is also commonly believed that the sampling distribution plays an important role in developing this understanding.…
Descriptors: Statistical Inference, Learning Strategies, Sampling, Statistics
Woodruff, David – 1993
Two analyses of variance (ANOVA) models for item scores are compared. The first is an items by subject random effect ANOVA. The second is a mixed effects ANOVA with items fixed and subjects random. Comparisons regarding reliability, Cronbach's alpha coefficient, psychometric inference, and inter-item covariance structure are made between the…
Descriptors: Analysis of Covariance, Analysis of Variance, Comparative Analysis, Factor Analysis
Blumberg, Carol Joyce – 1989
A subset of Statistical Process Control (SPC) methodology known as Control Charting is introduced. SPC methodology is a collection of graphical and inferential statistics techniques used to study the progress of phenomena over time. The types of control charts covered are the null X (mean), R (Range), X (individual observations), MR (moving…
Descriptors: Charts, Data Analysis, Educational Research, Evaluation Methods
Ozgur, Ceyhun; Strasser, Sandra E. – Decision Sciences Journal of Innovative Education, 2004
Authors who write introductory business statistics texts do not agree on when to use a t distribution and when to use a Z distribution in both the construction of confidence intervals and the use of hypothesis testing. In a survey of textbooks written in the last 15 years, we found the decision rules to be contradictory and, at times, the…
Descriptors: Statistics, Statistical Analysis, Textbooks, Textbook Evaluation
Levy, Roy; Mislevy, Robert J. – US Department of Education, 2004
The challenges of modeling students' performance in simulation-based assessments include accounting for multiple aspects of knowledge and skill that arise in different situations and the conditional dependencies among multiple aspects of performance in a complex assessment. This paper describes a Bayesian approach to modeling and estimating…
Descriptors: Probability, Markov Processes, Monte Carlo Methods, Bayesian Statistics

Sheehan, Janet K.; Han, Tianqi – Mid-Western Educational Researcher, 1996
Contrasts aptitude by treatment interaction (ATI) and hierarchical linear modeling (HLM) methods for making cross-level inferences between individual-level and group-level factors in school effectiveness research. Recommends HLM when intraclass correlations are high. ATI is suitable when intraclass correlations are low, but partitioning the…
Descriptors: Aptitude Treatment Interaction, Causal Models, Context Effect, Educational Research

Hinders, Duane C. – Mathematics Teacher, 1990
Discusses the use or misuse of statistics or probability in society. Presented are examples from opinion polling, sports, the 1970 draft lottery, and the law. Lists 18 references. (YP)
Descriptors: Data Interpretation, Mathematical Applications, Mathematical Concepts, Mathematical Logic

Kiger, Jack E.; Wise, Kenneth – College and Research Libraries, 1993
Describes the of attribute sampling to estimate characteristics of library collections and operations. The nature of statistical sampling and making a statistical inference are covered, and examples from library situations are given. Tables of determination of sample size and evaluation of results are included. (Contains six references.) (EAM)
Descriptors: Expectancy Tables, Library Administration, Library Collections, Methods

Rubin, Allen; Knox, Karen S. – Research on Social Work Practice, 1996
Data analysis problems, particularly involving the likelihood of obtaining visually ambiguous graphs, pose a barrier to efforts to promote increased use of single-case evaluation by practitioners. Uses findings from an evaluation of a cognitive-behavioral intervention with adolescent sex offenders to illustrate data analysis problems. (JPS)
Descriptors: Data Analysis, Data Interpretation, Evaluation Methods, Graphs

Ng, Sik Hung; Pipe, Margaret-Ellen; Beath, Bruce; Holton, Derek – Educational Psychology: An International Journal of Experimental Educational Psychology, 1999
Examines how the wording of statistical problems affects 11-12 year old children's answers. Ninety-six children were given statistical problems on two statistical concepts (base-rate and the law of large numbers). Indicates that the children had a high level of statistical intuition and knew when to reason statistically. (CMK)
Descriptors: Early Adolescents, Foreign Countries, Higher Education, Intermediate Grades
Schappe, Julie F. – Early Childhood Education Journal, 2005
Current preschool assessments lack the ability to capture performance variance and complex thinking skills. This study examined the relationship among student performance, student feelings, and teacher perceptions as they apply to using a formal performance assessment in a preschool setting. A formal performance assessment was administered to 71…
Descriptors: Correlation, Academic Achievement, Teacher Attitudes, Thinking Skills
Olson, Jeffery E. – 1992
Often, all of the variables in a model are latent, random, or subject to measurement error, or there is not an obvious dependent variable. When any of these conditions exist, an appropriate method for estimating the linear relationships among the variables is Least Principal Components Analysis. Least Principal Components are robust, consistent,…
Descriptors: Error of Measurement, Factor Analysis, Goodness of Fit, Mathematical Models