Data from international comparative studies in education are generally derived from complex, multi-stage sample designs and rotated assessments. Consequently, care must be taken not only in estimating variance components but also in interpreting them. Target population definitions, the nature of the sampling stages and their sampling units, and…

This report describes the derivation and evaluation of a method for comparing the performance standards for public school students set by different states. It is based on an approach proposed by McLaughlin and associates, which constituted an innovative attempt to resolve the confusion and concern that occurs when very different proportions of…

Detecting early signs of autism is essential for timely diagnosis and initiation of effective interventions. Several research groups have initiated prospective studies of high-risk populations including infant siblings, to systematically collect data on early signs within a longitudinal design. Despite the potential advantages of prospective…

Purpose: Description of study participants and documentation of the desired diversity in the Prevention Research Centers Healthy Aging Research Network's Workgroup on Promoting Cognitive Health large multisite study designed to examine attitudes about brain health, behaviors associated with its maintenance, and information-receiving preferences…

Monitoring the Future (MTF), now in its 35th year, has become one of the nation's most relied-upon sources of information on changes taking place in licit and illicit psychoactive drug use among American adolescents, college students, young adults, and more recently, middle-aged adults. During the last three and a half decades, the study has…

Purpose: The primary aim of the research reported here is to provide strategic guidance for the development of a national communication strategy to improve sun protection practice amongst young people. Design/methodology/approach: The research adopted an exploratory approach, employing qualitative focus groups to represent three population groups,…

Large sample standard errors for the Tucker method of linear equating under the common item nonrandom groups design are derived under normality assumptions as well as under less restrictive assumptions. Standard errors of Tucker equating are estimated using the bootstrap method described by Efron. The results from different methods are compared…

In applied and experimental research, it has been demonstrated that the extreme groups procedure is more powerful than the standard correlational approach for some values of the correlation and extreme group size. Methods are provided for using the covariance information that is usually discarded in the classical extreme groups approach.…

Assesses conditional states of item mastery found among items from different item domains and the effectiveness of various procedures for identifying such conditional relations. Item domains considered were from the curriculum area of multiplication of whole numbers, and were defined by a domain referenced testing system. (Author/RC)

Confidence intervals are an important tool to indicate uncertainty of estimates and to give an idea of probable values of an estimate if a different sample from the population was drawn or a different sample of measures was used. Standard symmetric confidence intervals for proportion estimates based on a normal approximation can yield bounds…

Two types of statistical analyses of rating scale data are discussed. An example, with its accompanying mathematical calculations for each type, is presented; and the advantages and disadvantages of each method are compared. It is judged that the little-known and seldom-used Kolmogorov-Smirnov one-sample test should be reexamined because of its…

Describes a study conducted in southeastern Washington to determine public opinion regarding several educational options. Compares study results obtained through structured interviews with adult residents at a randomly selected sample of households with results obtained by mailing questionnaires to all remaining households in the area. (AYC)

Questions are raised concerning differences between traditional metric multiple regression, which assumes all variables to be measured on interval scales, and nonmetric multiple regression. The ordinal model is generally superior in fitting derivation samples but the metric technique fits better than the nonmetric in cross-validation samples.…

Estimates of population values obtained using three sampling techniques (simple random sampling, stratified random sampling, and cluster sampling) and three size samples for each technique (10%, 25% and 50%) were compared with known "population" values. 25% simple random sample provided quite good estimates of the "population"…