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…

Purpose: Various aspects of speech production related to auditory-motor integration and learning have been examined through auditory feedback perturbation paradigms in which participants' acoustic speech output is experimentally altered and played back via earphones/headphones "in real time." Scientific rigor requires high precision in…

The analysis of spoken language has been integral to a breadth of research in social science and beyond. However, for analyses to occur with efficiency, language must be in the form of computer-readable text. Historically, the speech-to-text process has occurred manually using human transcriptionists. Automated speech recognition (ASR) is…

Researchers are combining self-reports from mobile surveys with passive data collection using sensors and apps on smartphones increasingly more often. While smartphones are commonly used in some groups of individuals, smartphone penetration is significantly lower in other groups. In addition, different operating systems (OSs) limit how mobile data…

Multilevel modeling (MLM) is a statistical technique for analyzing clustered data. Despite its long history, the technique and accompanying computer programs are rapidly evolving. Given the complexity of multilevel models, it is crucial for researchers to provide complete and transparent descriptions of the data, statistical analyses, and results.…

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…

Agent-based modeling has become increasingly popular in recent years, but there is still no codified set of recommendations or practices for how to use these models within a program of empirical research. This article provides ideas and practical guidelines drawn from sociology, biology, computer science, epidemiology, and statistics. We first…

Understanding faculty work practices can translate into improved library services. This study documents how education and behavioral science faculty locate, retrieve, and use information resources for research and writing and how they publish and store their research materials. The authors interviewed twelve professors using a structured interview…

This paper is a report of the replication of a seminal study on cognitive presence in computer mediated conferencing (CMC) by Garrison, Anderson, and Archer (2001). A comparison of cognitive presence coding by three different researchers is also demonstrated. The study re-ignites debates about what constitutes the segment of CMC data to be coded…

Introduction: The Accreditation Council for Continuing Medical Education (ACCME) provides guidelines for continuing medical education (CME) materials to mitigate problems in the independence or validity of content in certified activities; however, the process of peer review of materials appears largely unstudied and the reproducibility of…

Discussion of the use of qualitative research methodology in the study of information-seeking behavior focuses on a study of the information-seeking attributes of 31 members of the Stanford University (California) academic community. Qualitative and quantitative analyses are explained, and issues and problems encountered in implementing the…

Political communication researchers recently have emphasized conditional relationships as crucial to specifying and understanding the effects of the mass media. In many cases, however, researchers will not predict which variables will modify the form or existence of media effects. They therefore will not include measures of the conditional…

Discusses problems in research investigating Web-based instruction (WBI) and describes a study of university freshmen that used a single-source method to test the impact of WBI on learning. Examines computer software log files and discusses results of multiple regression analyses that show use of relevant Web content does improve learning.…

Vocational education research and development (R&D) product evaluations are difficult to conduct for several reasons, such as the many types of R&D products, the multiple users of the products with different goals for evaluation, the limited time available, and the high cost. In order to meet these challenges, an internal evaluation team…