Physics education researchers are interested in using the tools of machine learning and natural language processing to make quantitative claims from natural language and text data, such as open-ended responses to survey questions. The aspiration is that this form of machine coding may be more efficient and consistent than human coding, allowing…

The purpose of the current work is to present a case for the need to train all graduate students in the field of education in quantitative methodology. The premise for this position is that practitioners like researchers benefit from such training. Through an understanding of research design and statistics, teachers, school leaders, counselors,…

Educational data mining (EDM) has been a rapidly growing research field over the last decade and enabled researchers to discover patterns and trends in education with more sophisticated methods. EDM offers promising solutions to complex educational problems. Given the rapid increase in the availability of big data in education and software…

Quality of working life has been defined as the part of overall quality of life that is influenced by work. We developed a mediation model where home-work interface, job and career satisfaction, control at work, and working conditions are considered to be positively related to employee commitment and to the absence of stress at work. These two…

Men and women remain in unequal positions in coping with their scientific and academic careers. Several of the mechanisms dissuading or preventing women from pursuing scientific careers have already been described in the literature: women getting stuck with paltry, undervalued tasks, thus manufacturing a "sticky floor"; structuring the…

This review examines published secondary analyses of National Longitudinal Transition Study 2 (NLTS2) data, with a primary focus upon statistical objectives, paradigms, inferences, and methods. Its primary purpose was to determine which statistical techniques have been common in secondary analyses of NLTS2 data. The review begins with an…

Given the importance of statistical power analysis in quantitative research and the repeated emphasis on it by American Educational Research Association/American Psychological Association journals, the authors examined the reporting practice of power analysis by the quantitative studies published in 12 education/psychology journals between 2005…

In the focus article of this issue, von Davier, Naemi, and Roberts essentially coupled: (1) a short methodological review of structural similarities of latent variable models with discrete and continuous latent variables; and (2) 2 short empirical case studies that show how these models can be applied to real, rather than simulated, large-scale…

As in any field of scientific inquiry, advancements in the field of second language acquisition (SLA) rely in part on the interpretation and generalizability of study findings using quantitative data analysis and inferential statistics. While statistical techniques such as ANOVA and t-tests are widely used in second language research, this review…

This study investigates the predictors of school practitioners' (N = 2,425) use of educational research. The suggested model explained significantly but modestly the infrequent use of educational research by practitioners. Of the four factors in the study, "opinions about research" had the most explanatory power. The results are…

Multilevel modeling (MLM), also referred to as hierarchical linear modeling (HLM) or mixed models, provides a powerful analytical framework through which to study colleges and universities and their impact on students. Due to the natural hierarchical structure of data obtained from students or faculty in colleges and universities, MLM offers many…

This study characterized the use of research community partnerships (RCPs) to tailor evidence-based intervention, training, and implementation models for delivery across different childhood problems and service contexts using a survey completed by project principal investigators and community partners. To build on previous RCP research and to…

Historically, researchers focused on individuals with severe disabilities have utilized single-subject research methodologies to study the application of the behavioral theory to learning. In contrast, disability studies scholars have primarily used qualitative research methodologies to study quality of life or policy issues related to individuals…

This paper studies changes of standard errors (SE) of the normal-distribution-based maximum likelihood estimates (MLE) for confirmatory factor models as model parameters vary. Using logical analysis, simplified formulas and numerical verification, monotonic relationships between SEs and factor loadings as well as unique variances are found.…

As lines between research paradigms continue to blur with the ever-increasing popularity of mixed methods research, there are useful, and occasionally oxymoronic, opportunities for educational researchers to juxtapose tools from opposing methods. The gold standard is just not possible in so much of what we do with small-scale research, nor is it…