Descriptive analyses of socially important or theoretically interesting phenomena and trends are a vital component of research in the behavioral, social, economic, and health sciences. Such analyses yield reliable results when using representative individual participant data (IPD) from studies with complex survey designs, including educational…

Data collected from surveys can result in hundreds of variables and thousands of respondents. This implies that time and energy must be devoted to (a) carefully entering the data into a database, (b) running preliminary analyses to identify any problems (e.g., missing data, potential outliers), (c) checking the reliability and validity of the…

This article presents findings on the consequences of matrix sampling of context questionnaires for the generation of plausible values in large-scale assessments. Three studies are conducted. Study 1 uses data from PISA 2012 to examine several different forms of missing data imputation within the chained equations framework: predictive mean…

Researchers in the field of early adolescence interested in quantifying the environmental influences on a response variable of interest over time would use cluster sampling (i.e., obtaining repeated measures from students nested within classrooms and/or schools) to obtain the needed sample size. The resulting longitudinal data would be nested at…

Cluster randomized trials involving participants nested within intact treatment and control groups are commonly performed in various educational, psychological, and biomedical studies. However, recruiting and retaining intact groups present various practical, financial, and logistical challenges to evaluators and often, cluster randomized trials…

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…

The study examined the relationship between teachers' utilization of school facilities and academic achievement of student nurses in Human Biology in schools of Nursing in Akwa Ibom State. Four (4) specific objectives, four (4) research questions and four (4) null hypotheses were formulated to guide the study. Ex-post facto survey design was…

Students with disabilities experience poorer post-school outcomes compared with their peers without disabilities. Existing experimental literature on "what works" for improving these outcomes is rare; however, a rapidly growing body of research investigates correlational relationships between experiences in school and post-school…

The study examined distance education as a tool for human resource development for junior secondary schools in Ebonyi State, Nigeria and it adopted a descriptive survey as the design. The population of the study consists of 2,410 secondary school teachers. Stratified simple random sampling technique was used to select 690 respondents. The…

Background: The current paper is based on two different approaches. One is the relational model of authority (Tyler & Lind, 1992), which addresses the effects of justice perceptions on the legitimacy of authorities and behavioural compliance. The other is Emler and Reicher's theory (1995, 2005), which explains the involvement of adolescents in…

In its analysis of data it collected in 2006, the Programme for International Student Assessment (PISA) survey by the Organisation for Economic Co-operation and Development (OECD) used a variety of statistical methods to arrive at the 'key findings' that school autonomy, school competition and the public posting of student achievement data were…

Ramsay-curve item response theory (RC-IRT) is a nonparametric procedure that estimates the latent trait using splines, and no distributional assumption about the latent trait is required. For item parameters of the two-parameter logistic (2-PL), three-parameter logistic (3-PL), and polytomous IRT models, RC-IRT can provide more accurate estimates…

For accreditation and programmatic decision making, education school administrators use inter-rater reliability analyses to judge credibility of student-teacher assessments. Although weak levels of agreement between university-appointed supervisors and cooperating teachers are usually interpreted to indicate that the process is not being…

Districts now have access to a wealth of new information that can help target students with appropriate supports and bring focus and coherence to college readiness efforts. However, the abundance of data has brought its own challenges. Schools and school systems are often overwhelmed with the amount of data available. The capacity of districts to…

The vertical scales of large-scale achievement tests created by using item response theory (IRT) models are mostly based on cluster (or correlated) educational data in which students usually are clustered in certain groups or settings (classrooms or schools). While such application directly violated assumption of independent sample of person in…