Organizational relationships are complex. Employees do their work as individuals, but also as members of larger teams. They exist within various social networks, both within and spanning organizations. Multilevel theory is at the core of the organizational sciences, and unpacking multilevel relationships is fundamental to the challenges faced…

In 2014, I started working on the PhD project, which aims at understanding the causes and consequences of university graduates following different types of career pathways. On route to achieving this aim, I faced a challenging task of deriving a typology, which was theoretically meaningful and suitable for further quantitative analysis. As the…

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…

The research referenced in this methodological case study chronicles the journey of the researcher in identifying a research design that would utilize both quantitative and qualitative research strategies to explore education reform initiatives across two schools implementing the same whole school reform model. Challenges of selecting the…

Fully updated to reflect the most recent changes in the field, the Second Edition of "Propensity Score Analysis" provides an accessible, systematic review of the origins, history, and statistical foundations of propensity score analysis, illustrating how it can be used for solving evaluation and causal-inference problems. With a strong…

The Education 2030 Agenda calls for robust monitoring, reporting, and evaluating indicators from Early Childhood Education (ECE) to adult education. The new agenda demands clear indicators and measurement to generate evidence-based international discourses and advocacy. Ensuring availability of education data and statistics for evidence based…

This case study provides an account of my experiences and lessons learned in designing and implementing a survey research. The research was part of my doctoral thesis in educational measurement and quantitative methods. The purpose of the study was to examine the effectiveness of a Completely Structured Training compared with Partially Structured…

This case study considers how a non-equivalent control group design was used in a PhD study examining the impact of a multiple intelligence teaching approach on student engagement and learning. Two groups of second year undergraduate nursing students undertook the study: a treatment group (n = 26) and a control group (n = 18). The intervention for…

Exploratory Factor analysis is a research tool that can be used to make sense of multiple variables which are thought to be related. This can be particularly useful when a qualitative methodology may be the more appropriate method for collecting data or measures, but quantitative analysis enables better reporting. This case first gives a brief…

We present a case study of the process through which a methodology was developed and applied to a quasi-experimental research study that employed propensity score matching. Methodological decisions are discussed and summarized, including an explanation of the approaches selected for each step in the study as well as rationales for these…

This book investigates the acquisition of sociolinguistic knowledge in the early elementary school years of a Mandarin-English two-way immersion program in the United States. Using ethnographic observation and quantitative analysis of data, the author explores how input from teachers and classmates shapes students' language acquisition. The book…

Data in the social sciences often do not conform to what a researcher would like in order to have an unproblematic analysis using some form of linear regression. Especially, when data reflect counts, a number of potential problems arise. This case study discusses challenges that occurred when applying the models and examines the results. Finally,…

This case study presents an example of using a generalized linear model with a log-linear link to calculate an adjusted risk ratio to be able to assess the association between educational attainment and obesity in a cohort study of American adults. Both risk ratios and odds ratios can be calculated based on cohort study data, and risk ratios are…

This case study provides an account of a semester-long study in an undergraduate sports medicine class; the study was for my PhD dissertation. The aim was to determine whether a peer assessment/feedback training program was effective. I knew that previous research in my field and in education found little quantitative differences for a…

This case study uses structural equation modeling to examine the predictive validity of the Read Aloud Profile-Together, a measure of the distinct behaviors of parents and children during shared book reading, in relation to preschool children's early reading competency. Using secondary data analysis, this case study includes 800 parent-child pairs…