Researchers in the decision making tradition usually analyze multiple decisions within experiments by aggregating choices across individuals and using the individual subject as the unit of analysis. This approach can mask important variations and patterns within the data. Specifically, it...

It has been suggested that researchers comparing causal models across populations employ path regression coefficients corrected for unreliability. This procedure, however, does not eliminate the problem of differences in the units of measure across populations. This paper outlines a technique...

All statistical models must be identified if the estimates are to be meaningful. Determining the identification status of the measurement portion of a structural equation model can be difficult because the resulting system of covariance equations is nonlinear. The recent literature on...

Social scientists often use the mean of individual-level characteristics to describe aggregates such as organizations, schools, or programs. They seldom, however, attempt to assess the reliability of these measures. This article indicates how the internal consistency reliability of such measures...

This paper proposes and tests a simple joint explanation for i) increases in marital and nonmarital birth rates in the United States over recent decades, ii) the dramatic rise in the share of nonmarital births, and iii) the pronounced racial differences in the timing of childbearing. The...

We develop a model of fertility and marriage that implies a magnified effect of marriage rates on the share of births to unmarried women. For U.S. data, plots and regression estimates support the prediction that the share of unmarried births is driven primarily by the square of the share of...