Home > Publications . Search All . Browse All . Country . Browse PSC Pubs . PSC Report Series

PSC In The News

RSS Feed icon

Krause says having religious friends leads to gratitude, which is associated with better health

Work by Bailey and Dynarski on growing income gap in graduation rates cited in NYT

Johnston says marijuana use by college students highest in 30 years

Highlights

Martha Bailey and Nicolas Duquette win Cole Prize for article on War on Poverty

Michigan's graduate sociology program tied for 4th with Stanford in USN&WR rankings

Jeff Morenoff makes Reuters' Highly Cited Researchers list for 2014

Susan Murphy named Distinguished University Professor

Next Brown Bag

Monday, Sep 22
Paula Fomby (Michigan), Family Complexity, Siblings, and Children's Aggressive Behavior at School Entry

Yu Xie photo

Values and limitations of statistical models

Publication Abstract

Xie, Yu. 2011. "Values and limitations of statistical models." Research in Social Stratification and Mobility, 29(3): 343-349.

Methodological consequences of population heterogeneity for the sequential logit model in studies of education transitions are now well understood. There are two main mechanisms by which heterogeneity may cause biases to parameter estimates in sequential logit models: outcome incommensurability and population incommensurability. These methodological problems are intrinsic to the substantive research question and thus are not easily remediable with better statistical models. All statistical solutions require extra information in the form of additional data or additional assumptions. In some settings, the researcher may explicitly introduce a form of heterogeneity into the sequential logit model and then evaluate the model. In other settings, the researcher may wish to stay with the conventional sequential logit model and interpret the results descriptively.

DOI:10.1016/j.rssm.2011.04.001 (Full Text)

PMCID: PMC3203205. (Pub Med Central)

Browse | Search : All Pubs | Next