This paper addresses the sample invariant properties of four equating methods (Tucker and Levine linear equating, equipercentile equating through an anchor test, and three-parameter item response theory equating). Data from several national administrations of the Scholastic Aptitude Test served as the source of data for the study. Equating results…

A simple technique, developed by A. Phillips (1987) is used to approximate the covariance between the Mantel-Haenszel log-odds-ratio estimator for a 2 x 2 x k table and the sample marginal proportions. These results are then applied to obtain an approximate variance estimate of an adjusted risk difference based on the Mantel-Haenszel odds-ratio…

Central limit theorem (CLT) is considered an important topic in statistics, because it serves as the basis for subsequent learning in other crucial concepts such as hypothesis testing and power analysis. There is an increasing popularity in using dynamic computer software for illustrating CLT. Graphical displays do not necessarily clear up…

This paper explains the underlying assumptions of the sampling distribution and its role in significance testing. To compute statistical significance, estimates of population parameters must be obtained so that only one sampling distribution is defined. A sampling distribution is the underlying distribution of a statistic. Sampling distributions…

The modeling of longitudinal and multilevel data using a latent variable framework is reviewed. Particular emphasis is placed on growth modeling. Examples are discussed where repeated observations are made on students sampled within classrooms and schools. The concept of a latent variable is a convenient way to represent statistical variation not…

When survey data are statistically analyzed, many times some of the data is missing. If the missing values are not correctly handled, results of the analysis may be dubious and publication may jeopardize the credibility of the organization preparing the report. This study examined four of the more commonly used methods of handling missing data.…

Multivariate methods are being used with increasing frequency in educational research because these methods control "experimentwise" error rate inflation, and because the methods best honor the nature of the reality to which the researcher wishes to generalize. This paper: explains the basic logic of canonical analysis; illustrates that…

A computerized method of preparing a sample of journal issues for testing purposes was created by listing every issue of a set of journals. Random samples of the issues were selected by the computer and printed out. (Author/LS)

The study was designed to establish, on a regional basis, the validity of a set of measures of social handicap as predictive of educational backwardness and to identify the characteristics of those schools which are most compensatory in adverse social conditions. (Editor)

Article considered the preference students have for companies and the criteria each has for accepting employment on the one hand and for employing students on the other hand. (RK)

Sixty-six children aged 9-10 years were tested in two groups with two parallel cloze tests of reading comprehension. The same tests were then given as cloze tests of listening comprehension. (Editor)

Criteria for prediction of multinomial responses are examined in terms of estimation bias. Logarithmic penalty and least squares are quite similar in behavior but quite different from maximum probability. The differences ultimately reflect deficiencies in the behavior of the criterion of maximum probability.

A crucial question in any study is how representative the sample is of the population being studied at the time of the interview. This is of particular concern when the study is based on a follow-up of a sample of respondents initially interviewed for other purposes. This study evaluated the representativeness of a sample of elderly female…

To assess the effect on discriminant analysis in terms of correct classification into two groups, the following parameters were systematically altered using Monte Carlo techniques: sample sizes; proportions of one group to the other; number of independent variables; and covariance matrices. The pairing of the off diagonals (or covariances) with…