Best Practices in Quasi–Experimental Designs: Matching Methods for Causal
     Inference

Stuart, Elizabeth A.; Rubin, Donald B.

doi:10.4135/9781412995627.d14

Cited by 262 publications

(215 citation statements)

References 124 publications

(181 reference statements)

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“…Para compensar esta ausencia se recurre al empleo de grupos de tratamiento, grupos de control, medidas pretest y postest y técnicas de control experimental (p.e., métodos de emparejamiento, véase Stuart & Rubin, 2008) con el objeto de controlar las diferencias preexistentes entre grupos. Sin embargo, en determinadas áreas de la psicología aplicada los diseños cuasiexperimentales son más utilizados que otras alternativas de diseño.…”

Section: Diseños Cuasiexperimentalesunclassified

Un sistema de clasificación de los diseños de investigación en psicología

2013

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Resumen: En este trabajo se elabora un marco conceptual y se desarrollan unos principios básicos para fundamentar un sistema de clasificación de los diseños de investigación más usuales en psicología basado en tres estrategias (manipulativa, asociativa y descriptiva) de donde emanan varios tipos de estudios, tres para la estrategia manipulativa (experimentales, cuasiexperimentales y de caso único), tres para la asociativa (comparativos, predictivos y explicativos) y dos para la descriptiva (observacionales y selectivos). Palabras clave: Metodología de la investigación; diseño de la investigación; diseño experimental; diseño no experimental.Title: A classification system for research designs in psychology. Abstract: In this work we devise a conceptual framework and develop some basic principles to promove a classification system for the most usual research designs in psychology based on three strategies (manipulative, associative and descriptive) from which emerge different types of studies, three for manipulative strategy (experimental, quasi-experimental and single-case), three for associative strategy (comparative, predictive and explanatory) and two for descriptive strategy (observational and selective). Key words: Research methodology; research design; experimental design; non experimental design. IntroducciónCon el incremento en el número de manuscritos que reciben las revistas de psicología con factor de impacto, se ha convertido en una necesidad la normalización, estandarización y actualización de los criterios para la revisión metodológica de trabajos empíricos (Ramos y Catena, 2004). En respuesta a esta necesidad, el Comité Editorial de la revista Anales de Psicología se ha planteado actualizar sus criterios de revisión metodológica elaborando una clasificación de los diseños de investigación utilizados en sus publicaciones con el objeto de diagnosticar la presencia de errores comunes y proponer soluciones para mejorar la calidad metodológica de la revista.El gran problema de las revisiones de artículos de investigación es que suele dejarse en manos del investigador experto en un tema sustantivo la decisión acerca de su publicación, quien en general confina sus comentarios críticos al área de contenido asumiendo que los aspectos metodológi-cos del trabajo en revisión están bien tratados y no contienen errores. Excepto en casos excepcionales, no suele haber revisores metodológicos de artículos de investigación sustantivos y sólo se proponen cuando un segundo proceso de revisión así lo requiere. Como consecuencia, los aspectos metodoló-gicos se han convertido en la parte más vulnerable de los artículos de investigación, de ahí que con mucha frecuencia se requiera la ayuda de expertos en metodología, en la mayoría de los casos después de haber sido planificada y concluida la investigación.Es por tanto un tema crucial que los investigadores dispongan de un marco conceptual donde situar sus proyectos de investigación, conozcan bien algunos de los principios básicos que sustentan una revisión metodológica y d...

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Section: Diseños Cuasiexperimentalesunclassified

Un sistema de clasificación de los diseños de investigación en psicología

2013

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“…No variable poses a statistically significant difference in its mean value between the treatment and control groups after matching. All but two covariates exhibit a variance ratio within the range from 0.5 to 2 recommended by Stuart and Rubin (2007). Table 3 summarises estimation results.…”

Section: Resultsmentioning

confidence: 99%

Does slum formalisation without title provision stimulate housing improvement? A case of slum declaration in Pune, India

Nakamura

2016

Urban Studies

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Though previous studies have examined how formalising land tenure affects housing improvements in informal settlements, the role of tenure security and its long-term influence remain unclear. In response, this paper quantitatively examines the extent to which formalising land tenure by way of slum declaration has stimulated housing improvements during the last three decades in the slums of Pune, India. Since slum declaration guarantees residents occupancy but not full property rights, this study focuses on how tenure security contributes to housing outcomes, such as materials, size, the number of floors and the amount of money spent for the improvements. Using original household survey data, analysis involving propensity score matching and difference-in-differences methods reveals that slum declaration has tripled a household's likelihood of having added a second floor and, albeit less clear, increased the average amount of money spent on housing improvements. At the same time, slum declaration has not induced any improvement in housing materials, largely since many residents of non-formalised slums have also replaced materials. These results indicate that slum declaration, even in the long run, has continued to influence housing investments in Pune's slums, in terms of both type and amount spent, though residents of non-formalised slums have also come to enjoy certain de facto tenure security. Among other implications for policy, these findings underscore that governments should at least provide legal assurance of occupancy rights in informal settlements, even if active interventions such as slum upgrading and titling are currently difficult.

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“…First, matching methods introduce some of the advantages of a randomized experiment into a study based on observational data. Second, matching methods reduce the sensitivity of results to model-based and inherently untestable assumptions (Stuart and Rubin 2007). Matching methods and regression-based model adjustments are not mutually exclusive, however.…”

Section: Methodsmentioning

confidence: 99%

“…In fact, many scholars argue that the best approach is often to combine the two methods by conducting regression adjustment on balanced samples (Heckman et al 1997, Abadie and Imbens 2006, Ho et al 2007). The logic behind this combined empirical strategy is that the matching methods make it possible to reduce large covariate bias between the treated and control groups, and the traditional regression methods can be used to adjust for any residual bias and to increase efficiency (Stuart and Rubin 2007).…”

Section: Methodsmentioning

confidence: 99%

How Does School District Consolidation Affect Property Values? A Case Study of New York

Duncombe¹,

Yinger

Zhang

2014

Public Finance Review

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This paper explores the impact of school district consolidation on house values based on house sales in upstate New York State from 2000 to 2012. By combining propensity score matching and double-sales data to compare house value changes in consolidating and comparable school districts, we find that, except in one relatively large district, consolidation has a negative impact on house values during the years right after it occurs and that this effect then fades away and is eventually reversed. This pattern suggests that it takes time either for the advantages of consolidation to be apparent or for the people who prefer consolidated districts to move in. Finally, as in previous studies, the long-run impacts of consolidation on house values are positive in census tracts that initially have low incomes, but negative in high-income census tracts, where parents may have a relatively large willingness to retain the non-budgetary advantages of small districts.

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Best Practices in Quasi–Experimental Designs: Matching Methods for Causal Inference

Cited by 262 publications

References 124 publications

Un sistema de clasificación de los diseños de investigación en psicología

Un sistema de clasificación de los diseños de investigación en psicología

Does slum formalisation without title provision stimulate housing improvement? A case of slum declaration in Pune, India

How Does School District Consolidation Affect Property Values? A Case Study of New York

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