Multiple imputation (MI) is a popular method for handling missing data. In education research, it can be challenging to use MI because the data often have a clustered structure that need to be accommodated during MI. Although much research has considered applications of MI in hierarchical data, little is known about its use in cross-classified…

Measuring race and ethnicity for administrative data sets and then analyzing these data to understand racial/ethnic disparities present many logistical and theoretical challenges. In this chapter, we conduct a synthetic review of studies on how to effectively measure race/ethnicity for administrative data purposes and then utilize these measures…

The development in information science has enabled an explosive growth of data, which attracts more and more researchers to engage in the field of big data analytics. Noticeably, in many real-world applications, large amounts of data are imbalanced data since the events of interests occur infrequently. Classification of imbalanced data is an…

Properly defining a population ensures that resources, such as funding and access, meet the needs, expectations, and intended outcomes for those represented. Ethical concerns arise when a target population, such as the English Language Learner population, is defined in numerous yet incomplete ways, and differently in research and in state policies…

In the modern world information has become the new power. An increasing amount of efforts are being made to gather data, resources being allocated, time being invested and tools being developed. Data collection is no longer a myth; however, it remains a great challenge to create value out of the enormous data that is being collected. Data modeling…

Purpose: The purpose of this study was to investigate the characteristics of missing physical activity (PA) data of children and youth. Method: PA data from the Chinese City Children and Youth Physical Activity Study ("N" = 2,758; 1,438 boys and 1,320 girls; aged 9-17 years old) were used for the study. After the data were sorted by the…

Two basic data sources required for research studies have been secondary and primary. Secondary data collection helps the researcher to provide relevant background to the study and are, in most cases, available for retrieval from recorded sources. Primary data collection requires the researcher to venture into the field where the study is to take…

This "What Works Clearinghouse Procedures and Standards Handbook (Version 3.0)" provides a detailed description of the standards and procedures of the What Works Clearinghouse (WWC). The remaining chapters of this Handbook are organized to take the reader through the basic steps that the WWC uses to develop a review protocol, identify…

The Education Trust research report "Stuck Schools" suggests a framework for identifying chronically low-performing schools in need of turnaround. The study uses Maryland and Indiana to show that some low-performing schools make progress while others remain stagnant. The report has four serious problems of reliability and validity,…

The author was invited to prepare a commentary in response to the Lev-Wiesel manuscript titled "Intergenerational Transmission of Sexual Abuse? Motherhood in the Shadow of Incest." Lev-Wiesel's stated intent in the study was to understand an important issue, namely how is intra-familial sexual abuse perpetuated across successive generations. This…

The reanalysis of data collected in large research projects presents problems, mainly because the hypotheses to be tested may be dependent on the hypotheses of the original project. One possible solution to this problem would be to use the data to group subjects into typologies. (HW)

Describes a study of reliability among coders of information for meta-analysis (a quantitative procedure for synthesizing data in primary research reports) of research on life satisfaction in American adults. Identifies sources and areas of disagreement among coders and discusses measures that can be used to enhance intercoder consistency.…

The methodological and practical problems that are especially common in or unique to assessment research in correctional settings are discussed. The distinctive culture of correctional institutions and the complications caused by governing bodies contribute to the particular problems encountered in collecting and analyzing data. (SLD)

Interest in quantifying nonverbal variables in human interaction has led to the development and application of several nonverbal observation systems. The authors present a selective overview of these approaches, briefly explaining the major assumptions in terms of their differences and similarities. Drawing largely from their own experiences in…

The history of the study of human mental ability is an example of the dialectic in social science between those who interpret data within the framework of existing social inequities and those who look for perspectives that might eventually dissolve inequities. The dedication of Henry Herbert Goddard to a belief in the scientific proof of…