A Quasi-Experimental Design for Studies on the Impact of Administrative Decisions: Applications and Extensions of the Regression-Discontinuity Design

1998 ◽  
Vol 1 (3) ◽  
pp. 315-333 ◽  
Author(s):  
Steven Mellor ◽  
Melvin M. Mark
Keyword(s):  
Experimental Design ◽  
Regression Discontinuity ◽  
Regression Discontinuity Design ◽  
Quasi Experimental ◽  
The Impact

scholarly journals The malleability of intelligence: the effects of schooling, genetic factors, socioeconomic status, and their interplay in children.

2021 ◽  
Author(s):  
Nicholas Judd ◽  
Bruno Sauce ◽  
Torkel Klingberg
Keyword(s):  
Socioeconomic Status ◽  
Working Memory ◽  
Genetic Factors ◽  
Fluid Intelligence ◽  
Regression Discontinuity ◽  
Regression Discontinuity Design ◽  
Quasi Experimental ◽  
Independent Effects ◽  
Main Effects ◽  
The Impact

Schooling, socioeconomic status (SES), and genetics all play large roles in intelligence differences. However, it is unclear to what extent their contributions are unique and if they interact. Here we used a multitrait polygenic score for cognition (cog-PGS) with a quasi-experimental regression discontinuity design to isolate how months of schooling relate to intelligence in 7,853 children (aged 9-11). We found large, independent effects of schooling, cog-PGS, and SES on working memory, crystallized (cIQ), and fluid intelligence (fIQ). Intriguingly, we found evidence for gene-by-environment interplay between cog-PGS and SES for cIQ, and a trend in the same direction for fIQ. This interaction was negative meaning that the intelligence of the highest SES children was the least affected by genetic differences, while the lowest SES children were most affected by genetic variability. Schooling showed no interaction with cog-PGS or SES for the three intelligence domains tested. While schooling had strong main effects on intelligence, it did not lessen, nor widen the impact of these preexisting SES or genetic factors.

scholarly journals Evaluating the Effectiveness of Vaccines Using a Regression Discontinuity Design

2019 ◽  
Vol 188 (6) ◽  
pp. 987-990
Author(s):  
Nicole E Basta ◽  
M Elizabeth Halloran
Keyword(s):  
Randomized Clinical Trials ◽  
Regression Discontinuity ◽  
Control Strategies ◽  
Regression Discontinuity Design ◽  
Vaccination Programs ◽  
Wide Range ◽  
Quasi Experimental ◽  
Psychology Literature ◽  
And Control ◽  
The Impact

Abstract The regression discontinuity design (RDD), first proposed in the educational psychology literature and popularized in econometrics in the 1960s, has only recently been applied to epidemiologic research. A critical aim of infectious disease epidemiologists and global health researchers is to evaluate disease prevention and control strategies, including the impact of vaccines and vaccination programs. RDDs have very rarely been used in this context. This quasi-experimental approach using observational data is designed to quantify the effect of an intervention when eligibility for the intervention is based on a defined cutoff such as age or grade in school, making it ideally suited to estimating vaccine effects given that many vaccination programs and mass-vaccination campaigns define eligibility in this way. Here, we describe key features of RDDs in general, then specific scenarios, with examples, to illustrate that RDDs are an important tool for advancing our understanding of vaccine effects. We argue that epidemiologic researchers should consider RDDs when evaluating interventions designed to prevent and control diseases. This approach can address a wide range of research questions, especially those for which randomized clinical trials would present major challenges or be infeasible. Finally, we propose specific ways in which RDDs could advance future vaccine research.

scholarly journals English Listening Lesson Library Online (ELLLO) as a Supporting Media in Learning Listening

2016 ◽  
Vol 3 (1) ◽  
pp. 51
Author(s):  
Sukmawati Tono Palangngan ◽  
Haryanto Atmowardoyo ◽  
Sukardi Weda
Keyword(s):  
Quantitative Analysis ◽  
Experimental Design ◽  
Random Sampling ◽  
Listening Comprehension ◽  
Regression Discontinuity ◽  
Sampling Technique ◽  
Regression Discontinuity Design ◽  
Quasi Experimental ◽  
Second Year ◽  
Academic Year

This research aims to find out: (1) whether the use of English Listening Lesson Library Online (ELLLO) affects the students’ Listening comprehension achievement and (2) students’ perception tow Engish Listening Lesson Library Online (ELLLLO). This research employed Quan-Qual method with a type of quasi-experimental design namely regression discontinuity design. The population was the second year students of SMAN 3 Palopo which  consisting of nine classes in 2014/2015 academic year. The total number of population was 270 students. This research used the combination of random sampling and nonrandom sampling technique, random sampling to decide the sample of the quantitative analysis and nonrandom sampling to decide the qualitative analysis. The data were collected by two instruments namely a listening test  and interview. The description of data collected through the listening comprehension test showed that ELLLO (English Listening Lesson Library Online) is significantly affecting the students listening comprehension. All students agree that English listening Lesson Library Online (ELLLO) is a good supporting media since they have used it for about six weeks and their favourite activity is game activities. Keywords: effect, ELLLO, listening

scholarly journals Effectiveness of a Power Factor Correction Policy in Improving the Energy Efficiency of Large-Scale Electricity Users in Ghana

Energies ◽  
2019 ◽  
Vol 12 (13) ◽  
pp. 2582 ◽  
Author(s):  
Samuel Lotsu ◽  
Yuichiro Yoshida ◽  
Katsufumi Fukuda ◽  
Bing He
Keyword(s):  
Energy Efficiency ◽  
Power Factor ◽  
Large Scale ◽  
Regression Discontinuity ◽  
Power Factor Correction ◽  
Energy Crisis ◽  
Regression Discontinuity Design ◽  
The Government ◽  
Power Factor Improvement ◽  
The Impact

Confronting an energy crisis, the government of Ghana enacted a power factor correction policy in 1995. The policy imposes a penalty on large-scale electricity users, namely, special load tariff (SLT) customers of the Electricity Company of Ghana (ECG), whose power factor is below 90%. This paper investigates the impact of this policy on these firms’ power factor improvement by using panel data from 183 SLT customers from 1994 to 1997 and from 2012. To avoid potential endogeneity, this paper adopts a regression discontinuity design (RDD) with the power factor of the firms in the previous year as a running variable, with its cutoff set at the penalty threshold. The result shows that these large-scale electricity users who face the penalty because their power factor falls just short of the threshold are more likely to improve their power factor in the subsequent year, implying that the power factor correction policy implemented by Ghana’s government is effective.

scholarly journals A regression discontinuity analysis of the social distancing recommendations for older adults in Sweden during COVID-19

2021 ◽  
Author(s):  
Carl Bonander ◽  
Debora Stranges ◽  
Johanna Gustavsson ◽  
Matilda Almgren ◽  
Malin Inghammar ◽  
...  
Keyword(s):  
Older Adults ◽  
Regression Discontinuity ◽  
Model Specification ◽  
Regression Discontinuity Design ◽  
Sharp Drop ◽  
Social Distancing ◽  
Disease Outcomes ◽  
The Social ◽  
National Register Data ◽  
The Impact

Objectives: To study the impact of non-mandatory, age-specific social distancing recommendations for older adults (70+ years) in Sweden on isolation behaviors and disease outcomes during the first wave of the COVID-19 pandemic. Methods: Our study relies on self-reported isolation data from COVID Symptom Study Sweden (n = 96,053) and national register data on COVID-19 hospitalizations, deaths, and confirmed cases. We use a regression discontinuity design to account for confounding factors, exploiting the fact that exposure to the recommendation was a discontinuous function of age. Results: By comparing individuals just above to those just below the age limit for the policy, our analyses revealed a sharp drop in the weekly number of visits to crowded places at the 70-year-threshold (-13%). Severe COVID-19 cases (hospitalizations or deaths) also dropped abruptly by 16% at the 70-year-threshold. Our data suggest that the age-specific recommendations prevented approximately 1,800 to 2,700 severe COVID-19 cases, depending on model specification. Conclusion: The non-mandatory, age-specific recommendations helped control the COVID-19 pandemic in Sweden.

scholarly journals Rancangan Eksperimen-Kuasi

2019 ◽  
Vol 27 (2) ◽  
pp. 187 ◽  
Author(s):  
T Dicky Hastjarjo
Keyword(s):  
Experimental Design ◽  
Experimental Methods ◽  
Professional Psychology ◽  
Control Group ◽  
Regression Discontinuity Design ◽  
Specific Design ◽  
Series Design ◽  
Randomized Experimental Design ◽  
Study Programs ◽  
Quasi Experimental

 Many studies in master psychology and professional psychology study programs used quasi-experimental methods, but there was no reference regarding quasi-experiments written in Indonesian. This article will fill in the blanks on reference to quasi-experimental methods. The article explains quasi-experimental design or non-randomized experimental design. According to Campbell quasi experimental design is divided into four types, namely (a) quasi-experimental design without control group or pretest, b) quasi experimental design with control group and pretest, c) time series design, and d) regression discontinuity design. Each type was broken down into a more specific design.

The Effect of Using Class PC and Interactive Boards on Students' Academic Achievement and Creative Thinking

2017 ◽  
Vol 7 (2) ◽  
pp. 1-23
Author(s):  
Mohamad M. Hileh ◽  
Abdel-Aziz Ahmad Sharabati ◽  
Tamara Yacoub Nasereddin ◽  
Suheir Mustafa Hussein
Keyword(s):  
Academic Achievement ◽  
Experimental Design ◽  
Primary Schools ◽  
Creative Thinking ◽  
Teaching And Learning ◽  
Traditional Learning ◽  
Traditional Teaching ◽  
Post Test ◽  
Quasi Experimental ◽  
The Impact

The purpose of the article is to investigate the impact of teaching and learning methods on Jordanian students' performance in primary schools. This study is of quasi-experimental design. Three tools are used in this study: an interactive board, a class PC and traditional tools. The data was collected by questionnaires, and then regressions were used to test the hypothesis. The results indicate that for creativity thinking, the highest difference between pre and post-test is related to class PC followed by traditional learning and finally interactive boards. Moreover, results indicate that the three tools affect fluency, flexibility and originality, while they have no significant effect on elaboration. The results also indicate that for the academic achievement class the PC reported the highest mean, followed by interactive boards and finally by traditional tools. Furthermore, results show that using class the PC and interactive boards affect students' creative thinking as compared to traditional teaching.

Measuring the impact of an organizational inclusion programme on absence among employees with disabilities: A quasi‐experimental design

2018 ◽  
Vol 157 (4) ◽  
pp. 651-669
Author(s):  
Conxita FOLGUERA‐I‐BELLMUNT ◽  
Xavier FERNÁNDEZ‐I‐MARÍN ◽  
Joan Manuel BATISTA‐FOGUET
Keyword(s):  
Experimental Design ◽  
Employees With Disabilities ◽  
Quasi Experimental ◽  
The Impact

scholarly journals Estimating the Impact of Air Pollution on Inbound Tourism in China: An Analysis Based on Regression Discontinuity Design

2019 ◽  
Vol 11 (6) ◽  
pp. 1682 ◽  
Author(s):  
Daxin Dong ◽  
Xiaowei Xu ◽  
Yat Wong
Keyword(s):  
Air Pollution ◽  
Air Quality ◽  
Regression Discontinuity ◽  
Tourism Development ◽  
Tourism Industry ◽  
Regression Discontinuity Design ◽  
Reverse Causality ◽  
Chinese Cities ◽  
Inbound Tourism ◽  
The Impact

Prior studies have suggested the existence of a reverse causality relationship between air quality and tourism development: while air quality influences tourism, dynamic segments of the tourism industry (e.g., cruising, airline, foodservice) have impacts on air quality. This reverse causality hinders a precise estimate on the effect of air pollution on tourism development within a conventional econometric framework, since the variable of air pollution is endogenous. This study estimates the impact of air pollution on the inbound tourism industry in China, by controlling for endogeneity based on a regression discontinuity design (RDD). The estimate is derived from a quasi-experiment generated by China’s Huai River Policy, which subsidizes coal for winter heating in northern Chinese cities. By analyzing data from 274 Chinese cities during the period 2009–2012, it is found that air pollution significantly reduces the international inbound tourism: an increase of PM 10 (particulate matter smaller than 10 μ m) by 0.1 mg/m 3 will cause a decline in the tourism receipts-to-local gross domestic product (GDP) ratio by 0.45 percentage points. This study also highlights the importance of controlling for endogeneity, since the detrimental impact of air pollution would otherwise be considerably underestimated. This study further demonstrates that, although air pollution is positively correlated with the average expenditure of each tourist, it substantially depresses the number of inbound tourists. The results imply that air quality could potentially influence inbound tourists’ city destination choices. However, it is interesting to note that travelers in air polluted cities in China tend to spend more money.

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