Confidence intervals (CIs) and effect sizes are essential to encourage meta-analytic thinking and to accumulate research findings. CIs provide a range of plausible values for population parameters with a degree of confidence that the parameter is in that particular interval. CIs also give information about how precise the estimates are. Comparison…

Responds to Biskin's comments (this issue) on the significance test controversy. Highlights areas of agreement (importance of replication evidence, importance of effect sizes) and disagreement (influence of sample size, evaluation of populations vs. samples, significance of Carver's article). Includes further recommendations for reporting research…

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…

Alphabet Math is an investigation of the order of usage of letters in the alphabet. Children collect individual data then compare and interpret it to make inferences. The inferences are compared to analyses of larger samples. How this is done is described. (MT)

Institutional researchers frequently use national datasets such as those provided by the National Center for Education Statistics (NCES). The authors of this chapter explore the adjustments required when analyzing NCES data collected using complex sample designs. (Contains 8 tables.)

A method for drawing inferences from complex samples is based on Rubin's approach to missing data in survey research. Standard procedures for drawing such inferences do not apply when the variables of interest are not observed directly, but must be inferred from secondary random variables which depend on the variables of interest stochastically.…