This study examined caregivers' longitudinal reports of adolescent multiracial categorization across the ages of 9.5, 10.5, and 14 years, and adolescents' reports of their own multiracial categorization at the age of 14 years. A portion of caregivers' reports of adolescent multiracial status were inconsistent across the years of the study; some…

Everyone knows what a school is, but the question of what constitutes an individual school is more complex than one would expect. Since not all individual records that appear in state or federal data files are schools, this creates a persistent challenge for educational researchers. In order to ensure that we have an accurate accounting of charter…

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…

This project was a qualitative longitudinal research study into cultural and structural change in an English secondary school. The schools' consistent underperformance led to its conversion to "academy" status as part of a development under the Labour administration of 1997-2010. The Labour policy for academization was designed, first,…

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…

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…

Analyzes and documents classification issues as part of the assessment of data quality in the Common Core of Data (CCD). Focuses on the Public Elementary/Secondary Education Agency Universe Survey. Indicates shortcomings in the definitions used for the CCD. (SLD)

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)

Discusses problems of classifying racial and ethnic groups when collecting statistical data. Argues that surveys must acknowledge the great diversity of the American population and give respondents the freedom to choose the group or groups to which they belong. (FMW)

To evaluate the accuracy of the 1970 census' occupational classification system, a comparison was made between that year's responses to census questions and the replies by the same population group to the 1972 Postcensal Manpower Survey (PMS). Each of these questionnaires relied on a different methodology; in the PMS the respondent classified…

This technical report discusses the development of a framework for identifying a battery of measures to be used in evaluating Head Start program effects on children 3 to 7 years of age. The report consists of an overview and five chapters, and provides eight appendices (in two additional volumes). Among the topics addressed are background…