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Anderson, Margo; Fienberg, Stephen E. – Society, 1997
Describes the role and function of the census and discusses census taking and decision making about "counting" from two perspectives: the Supreme Court decision in Wisconsin vs New York, and the Census Bureau's current plans for the year 2000. Concluding comments explore the lessons learned from the 1990 census and the effect on the 2000…
Descriptors: Computation, Court Litigation, Data Interpretation, Planning

Davison, Mark L.; Sharma, Anu R. – Psychometrika, 1994
Three analyses of pretest and posttest data are considered: (1) posttest only designs; (2) two-way repeated measures of analysis of variance (ANOVA); and (3) one-way analysis of covariance (ANCOVA). Conditions that ensure legitimacy of inferences about the equality of treatment effects on the latent variable theta are discussed. (SLD)
Descriptors: Analysis of Covariance, Analysis of Variance, Pretests Posttests, Research Design

Jones, W. Paul – Educational and Psychological Measurement, 1991
A Bayesian alternative to interpretations based on classical reliability theory is presented. Procedures are detailed for calculation of a posterior score and credible interval with joint consideration of item sample and occasion error. (Author/SLD)
Descriptors: Bayesian Statistics, Equations (Mathematics), Mathematical Models, Statistical Inference

Lubke, G. H.; Dolan, C. V.; Kelderman, H. – Multivariate Behavioral Research, 2001
Investigated the validity of inferences from A. Jensen's method of studying group differences on cognitive tests (1985) and compared the validity of inferences to inferences based on multi-group confirmatory factor analysis using constructed population covariance matrices. Results show the insensitivity of Jensen's method and the superiority of…
Descriptors: Blacks, Cognitive Tests, Ethnicity, Groups
Moen, David H.; Powell, John E. – College Teaching Methods & Styles Journal, 2005
Using Microsoft Excel, several interactive, computerized learning modules are developed to demonstrate the Central Limit Theorem. These modules are used in the classroom to enhance the comprehension of this theorem. The Central Limit Theorem is a very important theorem in statistics, and yet because it is not intuitively obvious, statistics…
Descriptors: Spreadsheets, Computer Software, Computer Simulation, Statistics
Ojeda, Mario Miguel; Sahai, Hardeo – International Journal of Mathematical Education in Science and Technology, 2002
Students in statistics service courses are frequently exposed to dogmatic approaches for evaluating the role of randomization in statistical designs, and inferential data analysis in experimental, observational and survey studies. In order to provide an overview for understanding the inference process, in this work some key statistical concepts in…
Descriptors: Probability, Data Analysis, Sampling, Statistical Inference
Battle, April – ProQuest LLC, 2009
American educational leaders seek to educate children (regardless of race, class, or economic status) to become productive citizens. In order for our country to compete with other countries where students are well educated and highly motivated, we need to ensure that our educational system is equipped with the technology and tools that would allow…
Descriptors: Majors (Students), Research Design, Charter Schools, Catholic Schools
Velicer, Wayne F.; Friedman, Robert H.; Fava, Joseph L.; Gulliver, Suzy B.; Keller, Stefan; Sun, Xiaowu; Ramelson, Harley; Prochaska, James O. – Journal of Consulting and Clinical Psychology, 2006
Pharmacological interventions for smoking cessation are typically evaluated using volunteer samples (efficacy trials) but should also be evaluated in population-based trials (effectiveness trials). Nicotine replacement therapy (NRT) alone and in combination with behavioral interventions was evaluated on a population of smokers from a New England…
Descriptors: Drug Therapy, Veterans, Smoking, Intervention
Holland, Paul W. – 1988
D. B. Rubin's model for causal inference in experiments and observational studies is enlarged to analyze the problem of "causes causing causes" and is compared to path analysis and recursive structural equations models. A special quasiexperimental design, the encouragement design, is used to give concreteness to the discussion by…
Descriptors: Causal Models, Observation, Path Analysis, Quasiexperimental Design
Muthen, Bengt – 1994
This paper investigates methods that avoid using multiple groups to represent the missing data patterns in covariance structure modeling, attempting instead to do a single-group analysis where the only action the analyst has to take is to indicate that data is missing. A new covariance structure approach developed by B. Muthen and G. Arminger is…
Descriptors: Bayesian Statistics, Estimation (Mathematics), Maximum Likelihood Statistics, Monte Carlo Methods
Blankmeyer, Eric – 1992
L-scaling is introduced as a technique for determining the weights in weighted averages or scaled scores for T joint observations on K variables. The technique is so named because of its formal resemblance to the Leontief matrix of mathematical economics. L-scaling is compared to several widely-used procedures for data reduction, and the…
Descriptors: Comparative Analysis, Equations (Mathematics), Mathematical Models, Multivariate Analysis
Kish, Leslie – 1989
A brief, practical overview of "design effects" (DEFFs) is presented for users of the results of sample surveys. The overview is intended to help such users to determine how and when to use DEFFs and to compute them correctly. DEFFs are needed only for inferential statistics, not for descriptive statistics. When the selections for…
Descriptors: Computer Software, Error of Measurement, Mathematical Models, Research Design

Cohen, S. Alan – Educational Researcher, 1987
Instructional alignment is the extent to which stimulus conditions match three instructional components. This paper demonstrates a new perspective in which instructional alignment generates larger effects in research and practice for less "cost" than other instructional constructs. (VM)
Descriptors: Hypothesis Testing, Mastery Learning, Probability, Statistical Inference
Smith, A. Delany; Henson, Robin K. – 2000
This paper addresses the state of the art regarding the use of statistical significance tests (SSTs). How social science research will be conducted in the future is impacted directly by current debates regarding hypothesis testing. This paper: (1) briefly explicates the current debate on hypothesis testing; (2) reviews the newly published report…
Descriptors: Hypothesis Testing, Research Methodology, Research Reports, Social Science Research

Embretson, Susan E. – Applied Psychological Measurement, 1996
Conditions under which interaction effects estimated from classical total scores, rather than item response theory trait scores, can be misleading are discussed with reference to analysis of variance (ANOVA). When no interaction effects exist on the true latent variable, spurious interaction effects can be observed from the total score scale. (SLD)
Descriptors: Analysis of Variance, Interaction, Item Response Theory, Models