With the prevalence of missing data in social science research, it is necessary to use methods for handling missing data. One framework in which data with missing values can still be used for parameter estimation is the Bayesian framework. In this tutorial, different missing data mechanisms including Missing Completely at Random, Missing at…

Missing data are exceedingly common across a variety of disciplines, such as educational, social, and behavioral science areas. Missing not at random (MNAR) mechanism where missingness is related to unobserved data is widespread in real data and has detrimental consequence. However, the existing MNAR-based methods have potential problems such as…

The aim of this paper is to introduce a software that is appropriate for the generalizability theory for not only balanced but also unbalanced data sets. Because it is possible to have unbalanced data sets while conducting a study, the researchers have devised an easy solution, other than deleting data, to balance the design to cope with this…

An advantage of well-designed survey research is that, typically, it yields large volumes of quantitative and qualitative data. A key challenge researchers face is mining and reporting these data appropriately and promptly to inform research publications and presentations. When mixed methods are employed, and researchers attempt to master computer…

Walking readers step by step through complex concepts, this book translates missing data techniques into something that applied researchers and graduate students can understand and utilize in their own research. Enders explains the rationale and procedural details for maximum likelihood estimation, Bayesian estimation, multiple imputation, and…

One of the objectives of any government is the establishment of an effective solution to significantly control crime. Identity fraud in Nigeria has generated global attention and negative publicity toward its citizens. The research problem addressed in this study was the lack of understanding of the dynamics that influenced the adoption and…

Advances in digital video technology create opportunities for more detailed qualitative analyses of actual teaching practice in science and other subject areas. User-friendly digital cameras and highly developed, flexible video-analysis software programs have made the tasks of video capture, editing, transcription, and subsequent data analysis…

This guidebook is designed for data analysts who are working with computer data files that contain records with incomplete data. It indicates choices the analyst must make and the criteria for making those choices in regard to the following questions: (1) What resources are available for performing the imputation? (2) How big is the data file? (3)…

Argues that the prevailing computer science orientation to data visualizations is severely limited for addressing usability concerns associated with supporting users in three critical problem areas: sophisticated visual literacy, complex data analysis, and new paradigms of visual inquiry. Argues that current object-oriented usability…

This paper deals with two questions: (1) what are the the applications that might be made of microcomputers in evaluation? and (2) what are the kinds of problems (personnel, organizational, and technical) that must be overcome if microcomputers are to be used effectively? The applications include proposals and planning, management, data…

The process of focus-finding in qualitative research is ongoing and dynamic, involves researcher choices and decisions (rather than pure discovery), and is a process of social construction in which the researcher interacts with the research setting. Focus-finding is discussed in the context of a qualitative research study of the integration of…

This paper summarizes and highlights some of the critical developments, issues, and trends which impact the work of survey research. The issue of preventing or minimizing nonresponse bias by successfully obtaining cooperation from people being surveyed continues to be of concern to survey research professionals. The most effective response rate…

This guide to planning and conducting research projects covers how to decide on a research problem, state a hypothesis, plan for the collection of data, write a proposal, analyze and interpret data, and write the research report. Overall, the book takes a practical, hands-on approach and offers checklists, suggestions, and guidelines for all the…