Educational Testing Service

Maximum Likelihood from Incomplete Data Via the <i>EM</i> Algorithm

Summary A broadly applicable algorithm for computing maximum likelihood estimates from incomplete data is presented at various levels of generality. Theory showing the monotone ...

Inference and missing data

When making sampling distribution inferences about the parameter of the data, θ, it is appropriate to ignore the process that causes missing data if the missing data are 'missin...

Estimating causal effects of treatments in randomized and nonrandomized studies.

A discussion of matching, randomization, random sampling, and other methods of controlling extraneous variation is presented. The objective is to specify the benefits of randomi...

The standards for educational and psychological testing.

A general method for analysis of covariance structures

It is assumed that observations on a set of variables have a multivariate normal distribution with a general parametric form of the mean vector and the variance-covariance matri...

LISREL A GENERAL COMPUTER PROGRAM FOR ESTIMATING A LINEAR STRUCTURAL EQUATION SYSTEM INVOLVING MULTIPLE INDICATORS OF UNMEASURED VARIABLES

Let ¢(n v-n) and \jl(m /, 101) " ,") r.

FACTORIAL INVARIANCE OF ABILITY MEASURES IN GROUPS DIFFERING IN INTELLIGENCE AND SOCIOECONOMIC STATUS

Scores on 12 aptitude and achievement tests for 11,743 subjects, subdivided into four groups according to intelligence and socioeconomic status, were used. A technique, develope...