Technology education research is a growing field, with the rate of growth increasing over the last 2 decades. As the field grows, it is paramount that credibility is maintained in published findings. To date there is no evidence to suggest a lack trust is warranted, however in the midst of the replication crisis there is need to ensure continued…

Head Start is a national program that helps young children from families with low income get ready to succeed in school. It does this by working to promote their early learning and health and their families' well-being. The Head Start Family and Child Experiences Survey (FACES) provides national information about Head Start programs and…

Missing data is endemic in much educational research. However, practices such as step-wise regression common in the educational research literature have been shown to be dangerous when significant data are missing, and multiple imputation (MI) is generally recommended by statisticians. In this paper, we provide a review of these advances and their…

Missing data are a common occurrence in survey-based research studies in education, and the way missing values are handled can significantly affect the results of analyses based on such data. Despite known problems with performance of some missing data handling methods, such as mean imputation, many researchers in education continue to use those…

Researchers in career and technical education often ignore more effective ways of reporting and treating missing data and instead implement traditional, but ineffective, missing data methods (Gemici, Rojewski, & Lee, 2012). The recent methodological, and even the non-methodological, literature has increasingly emphasized the importance of…

The conflict between immediacy and accuracy in data-gathering and analysis is discussed. The case of the Postsecondary Transcript Sample (PETS) of the National Longitudinal Study is used to illustrate the particulars of this conflict and their resolution on the side of accuracy. (Author/MLW)

A practical application of generalizability theory, demonstrating how the variance components contribute to understanding and interpreting the data collected to evaluate a program, is described. The evaluation concerned 120 learning modules developed for the Dental Auxiliary Education Project. The goals of the project were to design, implement,…

The quality of educational data in Nepal was evaluated by investigating three questions: (1) the extent of reporting error in national education data; (2) accuracy of error estimation; and (3) levels at which error is introduced. Evidence suggests that data may be more accurate than decision makers suppose. (SLD)

The nine-volume Survey Kit is designed to help readers prepare and conduct surveys and become better users of survey results. All the books in the series contain instructional objectives, exercises and answers, examples of surveys in use, illustrations of survey questions, guidelines for action, checklists of "dos and don'ts," and…

This paper provides an overview of common sampling methods (both the good and the bad) likely to be used in community college self-evaluations and presents the results from several simulated trials. The report begins by reviewing various survey techniques, discussing the negative and positive aspects of each method. The increased accuracy and…