Experimental And Quasi Experimental Designs For Research

By P. Kaufmann. 2016

3,796 citations recorded by the source corpus.

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

Citations in the corpus

Counterfactual Normalization: Proactively Addressing Dataset Shift and Improving Reliability Using Causal Mechanisms (2018, background): “Transportability: The goal of an experiment is for the ﬁndings to generalize beyond a single study, a concept known as external validity (Campbell and Stanley, 1963).”
Domestic Minor Sex Trafficking: Assessing and Reducing Risk (2014, methodology): “Additionally, the exploratory one-group pretest/posttest design (Campbell and Stanley 1963) with youth who had Table 2 Risk factors experienced by youth”
Causal inference and the data-fusion problem (2016, background): “Special cases of transportability can be found in the literature under different rubrics such as “lack of external validity” (45, 46), “heterogeneity” (47), and “meta-analysis” (48, 49).”
Critical Thinking Across the Curriculum: A Vision (2016, unknown): “Campbell and Stanley in their classic work (1963) sneer at them by calling them ‘‘pre-experimental’’. Cook and Campbell (1979) in another classic also are severely critical of pre-test/post-test only designs.”
Beyond the existence proof: ontological conditions, epistemological implications, and in-depth interview research (2014, background): “Two definitive features of behavioral experiments are: (1) random assignment of research subjects to groups, and, (2) manipulation which exposes groups to different treatments (Campbell and Stanley 1963, pp. 6–42).”
Understanding and misunderstanding randomized controlled trials (2016, unknown): “Much of the literature, in economic development and elsewhere, perhaps inspired by Campbell and Stanley’s (1963) famous “primacy of internal validity,” assumes that internal validity is enough to guarantee the usefulness of the estimates in different contexts.”
Endogeneity: A Review and Agenda for the Methodology-Practice Divide Affecting Micro and Macro Research (2020, unknown): “Campbell & Stanley, 2015; Chatterji, Findley, Jensen, Meier, & Nielson, 2016; Grant & Wall, 2009; Greenberg & Tomlinson, 2004; Harrison & List, 2004 Quasi-experiments -”
Influence of Social Media on Chinese Students’ Choice of an Overseas Study Destination: An Information Adoption Model Perspective (2014, unknown): “Respondents were randomly assigned to one of four distinctive treatments of the stimulus material (Baker, 2001; Campbell & Stanley, 1966).”
An Analysis of Learning Rate and Curricular Scope: Caution When Choosing Academic Interventions Based on Aggregated Outcomes (2015, background): “When one is running relativeeffectiveness studies, threats to internal validity are minimized by holding constant or evenly distributing all variables that may influence learning with the exception of the treatments (Campbell & Stanley, 1966; Kazdin, 2011).”
Educational impact on the relationship of environmental knowledge and attitudes (2018, background): “We did not encounter ‘experimental mortality’, meaning that we had no higher dropout rate at the post or retention test, which is an important issue for the internal validity of studies (Campbell and Stanley 1963).”
Does school-to-school collaboration promote school improvement? A study of the impact of school federations on student outcomes (2014, background): “…schools during this period, such as changes in the school’s intake), maturation (changes in the school over time, such as staffing changes), and selection (as the two groups may differ in ways that we have not measured or controlled for, such as motivation to innovate) (Campbell & Stanley, 1963).”
An impact assessment of machine learning risk forecasts on parole board decisions and recidivism (2017, background): “In this setting, one would be concerned about other interventions that could affect recidivism introduced around the same time as the machine learning forecasts, what Campbell and Stanley (1963) call the effects of “history”.”
Interaction, Internet self-efficacy, and self-regulated learning as predictors of student satisfaction in online education courses (2014, methodology): “This study relies on a correlational design (Campbell & Stanley, 1963) and seeks to explore relationships and then makes causal assertions.”
The Statistics of Causal Inference: A View from Political Methodology (2015, unknown): “Given this fact, experiments are often said to be internally valid, but they may lack external validity (Campbell and Stanley 1963).”
How Reasonable are Common-Sense Reasoning Tasks: A Case-Study on the Winograd Schema Challenge and SWAG (2018, unknown): “nal validity (Campbell and Stanley, 1963).”
Understanding the paradigm shift to computational social science in the presence of big data (2014, unknown): “…networks or in mobile phone systems, research designs can be implemented that allow researchers to ﬁ nd the data that meet a set of pre-de ﬁ ned experimental conditions – the “ needles in the data haystack ” – without ever taking subjects into a laboratory setting to conduct an experiment [21].”
Quantitative Research: A Successful Investigation in Natural and Social Sciences (2020, methodology): “It follows pre-test and post-test to see the result of the treatment but fails to include a control group [Campbell & Stanley, 1963; Ary et al., 2010].”
Adjustment Criteria for Generalizing Experimental Findings (2019, background): “Special cases of transportability are found in the literature under different rubrics, including “lack of external validity” (Campbell and Stanley, 1963; Manski, 2007), “heterogeneity” (Höfler et al.”