scholarly journals In This Issue: Intersection of Realist Inquiry and Structural Equation Modeling, Multilevel Participatory Social Justice Mixed Methods Design, Qualitative Vignette Experiments, Mixed Methods Research Systematic Methodological Reviews, and Mixed Methods in Randomized Controlled Trials

2021 ◽  
Vol 15 (4) ◽  
pp. 467-469
Author(s):  
José F. Molina-Azorin ◽  
Michael D. Fetters
2021 ◽  
pp. 155868982110331
Author(s):  
Julie A. Edmunds ◽  
Dora Gicheva ◽  
Beth Thrift ◽  
Marie Hull

Randomized controlled trials (RCTs) in education are common as the design allows for an unbiased estimate of the overall impact of a program. As more RCTs are completed, researchers are also noting that an overall average impact may mask substantial variation across sites or groups of individuals. Mixed methods can provide insight and help in unpacking some of the reasons for these variations in impact. This article contributes to the field of mixed methods research by integrating mixed methods into a recently developed conceptual framework for understanding variations in impact. We model the use of this approach within the context of an RCT for online courses that found differences in impact across courses.


2019 ◽  
Vol 79 (6) ◽  
pp. 1075-1102
Author(s):  
Yaacov Petscher ◽  
Christopher Schatschneider

Complex data structures are ubiquitous in psychological research, especially in educational settings. In the context of randomized controlled trials, students are nested in classrooms but may be cross-classified by other units, such as small groups. Furthermore, in many cases only some students may be nested within a unit while other students may not. Such instances of partial nesting requires a more flexible framework for estimating treatment effects so that the model coefficients are correctly estimated. Although several recommendations have been offered to the field on handling partially nested data, few are comprehensive in their treatment of manifest and latent variables in the context of partial nesting, full nesting, and cross-classification. The present study introduces n-level structural equation modeling (SEM) as a flexible measurement and analytic framework for the estimation of treatment effects for complex data structures that frequently present in randomized controlled trials. In this tutorial, we explore how the notation of n-level SEM allows for parsimonious model specification whether data are observed or latent and in the presence of partial nested or cross-classified designs. By using the xxm package in R, the advantage of using n-level SEM framework is demonstrated through five examples for single outcome manifest variables, as in the traditional multilevel model, as well as latent applications as in multilevel SEM.


2020 ◽  
pp. 155868982097069
Author(s):  
Allison Brown ◽  
Kent G. Hecker ◽  
Harold Bok ◽  
Rachel H. Ellaway

Realist inquiry, based on the philosophy of critical realism, focuses on exploring the underlying mechanisms that drive social phenomena. Structural equation modeling is a collection of quantitative analytical methods that take a theory-based, confirmatory approach to examining statistical relationships between measured (observable) and underlying (latent) variables. Despite originating from different scientific traditions, the apparent similarities between these two approaches hold promise for their combination in mixed methods research. This article contributes to the field of mixed methods research by exploring their potential synergies, how each approach could contribute to the other, and proposing a framework for their combinations in mixed methods research, which has implications in terms of the implied and explicit ontological and epistemological positionings of these two approaches.


SAGE Open ◽  
2021 ◽  
Vol 11 (3) ◽  
pp. 215824402110411
Author(s):  
Fatemah H. Albalawi ◽  
Ali H. Al-Hoorie

Research into language learning demotivation has tended to focus on the identification of discrete factors resulting in demotivation. In this article, we report an investigation into the interrelationship among factors eventually leading to demotivation using a sequential exploratory mixed-methods design. In Study 1, 13 participants were interviewed about their demotivation experiences and what factors, they perceived, had led to demotivation over a period of 12 months. We then used these results to formulate a demotivation model. In Study 2, we tested the generalizability of this model on a larger sample ( N = 2044). Using structural equation modeling, our results showed that the model fit the data, and most of its paths were statistically significant. This model showed that having a fixed mindset had one direct and two indirect paths to demotivation. The two indirect paths were through lowering the learner’s ideal L2 self and through feeling disappointed by setbacks. We discuss the implication of our findings for language learning and teaching.


2021 ◽  
Vol 11 (3) ◽  
pp. 67
Author(s):  
Eyal Eckhaus ◽  
Nitza Davidovitch

This study centers on a retrospective investigation of effective and pedagogic planning of academic digital courses taught during the COVID-19 crisis, from the students’ perspective. We shall focus on the difference between the traditional, teaching-centered paradigm, and the modern learning-centered approach, while emphasizing the formulation of learning outcomes in online study expanses, in light of the learning experience imposed on teachers and students at the various academic institutions.The study explored the learning outcomes from students’ point of view, as well as the benefits and challenges embodied by formulating learning goals in the post-COVID era, according to the learning-centered paradigm, relating to the strengths and weaknesses of the Zoom teaching method from the students’ perspective, predicated on 1,828 students from several institutions. We used a mixed methods design incorporating qualitative and quantitative analysis to develop the Online Teaching Recommendations (SOTR) model. We used Structural Equation Modeling (SEM) for goodness-of-fit.The research findings indicate that the various types of e-learning challenge academic institutions to carry out renewed thinking about the main potential advantage of physical academic institutions where students and teachers meet, talk, and discuss directly and unmediated, compared to virtual bodies of knowledge and teaching that are evolving at present and that are allegedly threatening to render universities irrelevant.


2017 ◽  
Vol 35 (23-24) ◽  
pp. 5448-5468 ◽  
Author(s):  
Omer Farooq Malik ◽  
Abdul Sattar ◽  
Asif Shahzad ◽  
Rafia Faiz

In this study, quantitative and qualitative data are presented to examine the direct and mediated effect of personal bullying on nurses’ turnover intentions via job stress. The study also investigates the moderating role of political skill on the association between personal bullying and job stress. The study employed an explanatory sequential mixed methods design. In the first, quantitative phase of the study, data were collected from a sample of 324 registered nurses working in public sector hospitals of Pakistan using a self-administered questionnaire. Results from variance-based structural equation modeling showed that personal bullying has a direct as well as an indirect effect on nurses’ turnover intentions through job stress. Furthermore, results showed that political skill attenuates the effect of personal bullying on job stress. The second, qualitative phase was conducted as a follow-up to the quantitative results involving individual interviews from 11 nurses. Overall, the qualitative data validated the key quantitative results. The study is among the first to employ a mixed methods design to investigate the direct and mediated effects of personal bullying on nurses’ turnover intentions and the stress-buffering role of political skill.


2020 ◽  
pp. 004728752093487 ◽  
Author(s):  
Amr Al-Ansi ◽  
Heesup Han ◽  
Seongseop (Sam) Kim ◽  
Brian King

This study used a mixed methods approach to investigate Muslim traveler experiences of inconvenience while visiting Korea, combining focus groups and semistructured interviews (a qualitative approach), and questionnaire-based surveying (a quantitative approach). The authors investigated the reliability and validity of a customized structural model by merging covariance-based structural equation modeling (CB-SEM) and partial least squares SEM (PLS-SEM). There were five salient and observable constructs which cause inconvenience for Muslims when visiting Korea. The results showed significant effects on the part of the identified constructs on affective experience, satisfaction, desire, behavior intention, and place attachment. The study findings can guide Korean tourism stakeholders in tackling the issues causing inconvenience for Muslim travelers, as well as informing authorities in other countries and territories.


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