Standard errors and sample sizes in two-level research

Tom A.B. Snijders, Roel J. Bosker

    Research output: Contribution to journalArticleAcademic

    59 Downloads (Pure)


    The hierarchical linear model approach to a two-level design is considered, some variables at the lower level having fixed and others having random regression coefficients. An approximation is derived to the covariance matrix of the estimators of the fixed regression coefficients (for variables at the lower and the higher level) under the assumption that the sample sizes at either level are large enough. This covariance matrix is expressed as a function of parameters occurring in the model. If a research planner can make a reasonable guess as to these parameters, this approximation can be used as a guide to the choice of sample sizes at either level.
    Original languageEnglish
    Pages (from-to)237-260
    Number of pages24
    JournalJournal of educational statistics
    Issue number3
    Publication statusPublished - 1993


    Dive into the research topics of 'Standard errors and sample sizes in two-level research'. Together they form a unique fingerprint.

    Cite this