scholarly journals Quasi-Experimental Shift-Share Research Designs

2018 ◽  
Author(s):  
Kirill Borusyak ◽  
Peter Hull ◽  
Xavier Jaravel
10.28945/3521 ◽  
2016 ◽  
Vol 15 ◽  
pp. 283-303 ◽  
Author(s):  
Jesús Moreno León ◽  
Gregorio Robles ◽  
Marcos Román-González

The introduction of computer programming in K-12 has become mainstream in the last years, as countries around the world are making coding part of their curriculum. Nevertheless, there is a lack of empirical studies that investigate how learning to program at an early age affects other school subjects. In this regard, this paper compares three quasi-experimental research designs conducted in three different schools (n=129 students from 2nd and 6th grade), in order to assess the impact of introducing programming with Scratch at different stages and in several subjects. While both 6th grade experimental groups working with coding activities showed a statistically significant improvement in terms of academic performance, this was not the case in the 2nd grade classroom. Notable disparity was also found regarding the subject in which the programming activities were included, as in social studies the effect size was double that in mathematics.


Author(s):  
John C. Norcross ◽  
Thomas P. Hogan ◽  
Gerald P. Koocher ◽  
Lauren A. Maggio

Evidence-based practice depends on research as its key source, and that research follows one of several designs. This chapter identifies commonly used research designs, terms used in their application, and the special strengths and weaknesses of each design. Designs include randomized clinical trials, quasi-experimental designs, surveys, and case study methods. Discussion of multivariate methods covers the important role of partial correlation and its applications in multiple regression, structural equation modeling, factor analysis (both exploratory and confirmatory), and mediator analysis. The chapter further details the role of the hypothesis in the designs, types of errors (I and II) affecting conclusions, and the role of power in statistical tests. Critical factors in drawing causal conclusions from the various designs receive special attention throughout.


2017 ◽  
Vol 33 (7) ◽  
pp. 977-1001 ◽  
Author(s):  
Leesa M. Foreman ◽  
Kaitlin P. Anderson ◽  
Gary W. Ritter ◽  
Patrick J. Wolf

We consider situations in which public charter school lotteries are neither universally conducted nor consistently documented. Such lotteries produce “broken” Randomized Control Trials, but provide opportunities to assess the internal validity of quasi-experimental research designs. Here, we present the results of a statewide charter school evaluation using a broad-based student matching evaluation design, and run two additional analyses using the charter application waitlists as robustness checks. Our additional models, which address concerns of self-selection by using only charter applicants as matched comparison students, yield similar effect estimates and thus provide support for the use of matching designs in charter school evaluations.


2019 ◽  
Vol 9 (4) ◽  
pp. 1
Author(s):  
Maria Darra ◽  
Anastasia Papanthymou

The purpose of this paper is to analyze the content of 33 empirical studies related to student self-assessment in primary and secondary education and have been published over the last decade (2009-2019) in 19 scientific journals classified in Scimago (only articles in journals with peer review system to assure their quality) in order to investigate: a) the research design (experimental, quasi-experimental, non-experimental), b) the research method (mixed method, quantitative method, qualitative method), c) the specific design (pretest-posttest etc.), d) the data collection method (questionnaire, interviews, etc.). According to the main findings most studies use non-experimental design, followed by experimental and quasi-experimental design. With regard to research methods quantitative method is used in all research designs, while qualitative and mixed method are used to a lesser degree and only in experimental and non-experimental design. Regarding the specific design, most experimental and quasi- experimental studies adopt a "pretest-posttest" design, while non-experimental studies follow mainly descriptive design. Finally, concerning the data collection methods, questionnaire is the most common method for all research designs, as opposed to other methods, such as interview or the combination of questionnaire and interview.  Therefore, there is a need to investigate the issue of student self-assessment using experimental or quasi-experimental research design where the mixed methodological approach will be adopted and data collection will be carried out using various research tools such as the interview and the questionnaire in order to triangulate the results.


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