title: Complex sample data recommendations and troubleshooting.
abstract: Complex survey data, as highlighted in this issue of Evaluation Review, provide a wealth of opportunities for answering methodological and/or applied research questions. However, the analytic issues of nonindependence and unequal selection probability must be addressed when analyzing this type of data. Thus, to ensure that research questions are accurately answered when using complex survey data, researchers must take extra precautions to ensure complex survey data are correctly analyzed. The purpose of this article is to provide software recommendations for analysis of and tips on troubleshooting when analyzing complex sample data.
authors.affiliation: Department of Educational and Human Sciences, University of Central Florida, Orlando, FL 32816, USA. debbie.hahs-vaughn@ucf.edu
authors.forename: Debbie L
authors.initials: DL
authors.lastname: Hahs-Vaughn
authors.forename: Christine M
authors.initials: CM
authors.lastname: McWayne
authors.forename: Rebecca J
authors.initials: RJ
authors.lastname: Bulotsky-Shearer
authors.forename: Xiaoli
authors.initials: X
authors.lastname: Wen
authors.forename: Ann-Marie
authors.initials: AM
authors.lastname: Faria
mesh_terms: D002648:Child; D002675:Child, Preschool; D003625:Data Collection; D018479:Early Intervention, Educational / Q000706:statistics & numerical data*; D006801:Humans; D015233:Models, Statistical; D012984:Software; D014481:United States