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Quasi-experiment, the Glossary

A quasi-experiment is an empirical interventional study used to estimate the causal impact of an intervention on target population without random assignment.^[1]

33 relations: Case–control study, Causality, Cohort study, Confounding, Dependent and independent variables, Design of experiments, Difference in differences, Donald T. Campbell, Ecological validity, Education, Empirical evidence, Experiment, External validity, Generalization, Guido Imbens, Instrumental variables estimation, Internal validity, Interrupted time series, Longitudinal study, Natural experiment, Panel analysis, Placebo, Policy analysis, Population, Post-traumatic stress disorder, Propensity score matching, Public health, Random assignment, Randomization, Randomized controlled trial, Regression discontinuity design, Social science, Susan Athey.
Observational study

Case–control study

A case–control study (also known as case–referent study) is a type of observational study in which two existing groups differing in outcome are identified and compared on the basis of some supposed causal attribute. Quasi-experiment and case–control study are design of experiments.

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Causality

Causality is an influence by which one event, process, state, or object (a cause) contributes to the production of another event, process, state, or object (an effect) where the cause is partly responsible for the effect, and the effect is partly dependent on the cause.

See Quasi-experiment and Causality

Cohort study

A cohort study is a particular form of longitudinal study that samples a cohort (a group of people who share a defining characteristic, typically those who experienced a common event in a selected period, such as birth or graduation), performing a cross-section at intervals through time.

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Confounding

In causal inference, a confounder is a variable that influences both the dependent variable and independent variable, causing a spurious association. Quasi-experiment and Confounding are design of experiments.

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Dependent and independent variables

A variable is considered dependent if it depends on an independent variable. Quasi-experiment and dependent and independent variables are design of experiments.

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Design of experiments

The design of experiments (DOE or DOX), also known as experiment design or experimental design, is the design of any task that aims to describe and explain the variation of information under conditions that are hypothesized to reflect the variation.

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Difference in differences

Difference in differences (DID or DD) is a statistical technique used in econometrics and quantitative research in the social sciences that attempts to mimic an experimental research design using observational study data, by studying the differential effect of a treatment on a 'treatment group' versus a 'control group' in a natural experiment. Quasi-experiment and difference in differences are design of experiments and observational study.

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Donald T. Campbell

Donald Thomas Campbell (November 20, 1916 – May 6, 1996) was an American social scientist.

See Quasi-experiment and Donald T. Campbell

Ecological validity

In the behavioral sciences, ecological validity is often used to refer to the judgment of whether a given study's variables and conclusions (often collected in lab) are sufficiently relevant to its population (e.g. the "real world" context).

See Quasi-experiment and Ecological validity

Education

Education is the transmission of knowledge, skills, and character traits and manifests in various forms.

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Empirical evidence

Empirical evidence for a proposition is evidence, i.e. what supports or counters this proposition, that is constituted by or accessible to sense experience or experimental procedure.

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Experiment

An experiment is a procedure carried out to support or refute a hypothesis, or determine the efficacy or likelihood of something previously untried. Quasi-experiment and experiment are design of experiments.

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External validity

External validity is the validity of applying the conclusions of a scientific study outside the context of that study.

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Generalization

A generalization is a form of abstraction whereby common properties of specific instances are formulated as general concepts or claims.

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Guido Imbens

Guido Wilhelmus Imbens (born 3 September 1963) is a Dutch-American economist whose research concerns econometrics and statistics.

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Instrumental variables estimation

In statistics, econometrics, epidemiology and related disciplines, the method of instrumental variables (IV) is used to estimate causal relationships when controlled experiments are not feasible or when a treatment is not successfully delivered to every unit in a randomized experiment.

See Quasi-experiment and Instrumental variables estimation

Internal validity

Internal validity is the extent to which a piece of evidence supports a claim about cause and effect, within the context of a particular study.

See Quasi-experiment and Internal validity

Interrupted time series

Interrupted time series analysis (ITS), sometimes known as quasi-experimental time series analysis, is a method of statistical analysis involving tracking a long-term period before and after a point of intervention to assess the intervention's effects. Quasi-experiment and Interrupted time series are design of experiments.

See Quasi-experiment and Interrupted time series

Longitudinal study

A longitudinal study (or longitudinal survey, or panel study) is a research design that involves repeated observations of the same variables (e.g., people) over long periods of time (i.e., uses longitudinal data). Quasi-experiment and longitudinal study are design of experiments, observational study and social research.

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Natural experiment

A natural experiment is a study in which individuals (or clusters of individuals) are exposed to the experimental and control conditions that are determined by nature or by other factors outside the control of the investigators. Quasi-experiment and natural experiment are observational study.

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Panel analysis

Panel (data) analysis is a statistical method, widely used in social science, epidemiology, and econometrics to analyze two-dimensional (typically cross sectional and longitudinal) panel data.

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Placebo

A placebo is a substance or treatment which is designed to have no therapeutic value.

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Policy analysis

Policy analysis or public policy analysis is a technique used in the public administration sub-field of political science to enable civil servants, nonprofit organizations, and others to examine and evaluate the available options to implement the goals of laws and elected officials.

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Population

Population is the term typically used to refer to the number of people in a single area.

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Post-traumatic stress disorder

Post-traumatic stress disorder (PTSD) is a mental and behavioral disorder that develops from experiencing a traumatic event, such as sexual assault, warfare, traffic collisions, child abuse, domestic violence, or other threats on a person's life or well-being.

See Quasi-experiment and Post-traumatic stress disorder

Propensity score matching

In the statistical analysis of observational data, propensity score matching (PSM) is a statistical matching technique that attempts to estimate the effect of a treatment, policy, or other intervention by accounting for the covariates that predict receiving the treatment. Quasi-experiment and propensity score matching are observational study.

See Quasi-experiment and Propensity score matching

Public health

Public health is "the science and art of preventing disease, prolonging life and promoting health through the organized efforts and informed choices of society, organizations, public and private, communities and individuals".

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Random assignment

Random assignment or random placement is an experimental technique for assigning human participants or animal subjects to different groups in an experiment (e.g., a treatment group versus a control group) using randomization, such as by a chance procedure (e.g., flipping a coin) or a random number generator. Quasi-experiment and random assignment are design of experiments.

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Randomization

Randomization is a statistical process in which a random mechanism is employed to select a sample from a population or assign subjects to different groups. Quasi-experiment and Randomization are design of experiments.

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Randomized controlled trial

A randomized controlled trial (or randomized control trial; RCT) is a form of scientific experiment used to control factors not under direct experimental control. Quasi-experiment and randomized controlled trial are design of experiments.

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Regression discontinuity design

In statistics, econometrics, political science, epidemiology, and related disciplines, a regression discontinuity design (RDD) is a quasi-experimental pretest–posttest design that aims to determine the causal effects of interventions by assigning a cutoff or threshold above or below which an intervention is assigned. Quasi-experiment and regression discontinuity design are design of experiments and observational study.

See Quasi-experiment and Regression discontinuity design

Social science is one of the branches of science, devoted to the study of societies and the relationships among individuals within those societies.

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Susan Athey

Susan Carleton Athey (born) is an American economist.

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References

[1] https://en.wikipedia.org/wiki/Quasi-experiment

Also known as Design of quasi-experiments, Quasi Experiment, Quasi experimental design, Quasi-experimental, Quasi-experimental design, Quasi-experimental studies, Quasi-experimental study, Quasi-experiments, Quasi-natural experiment.