Choosing a Research Design Flashcards
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Research Design and Validity
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- Research design is the fundamental strategy for creating and implementing a research plan. It outlines the structure of the study, including data collection, analysis, and interpretation.
- Internal validity is about ensuring that the results of a study accurately represent the relationships and causal connections within the study itself. It’s crucial for ensuring the study’s credibility.
- External validity, on the other hand, concerns the generalizability of research findings. Researchers need to assess whether their findings can apply to broader populations or contexts.
2
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Experimental Designs
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- Experimental designs are a rigorous approach to research that involves manipulating one or more variables to observe their effects. They are particularly common in the natural sciences.
- In a laboratory experiment, researchers conduct their studies in a controlled setting, allowing them to exert precise control over variables. Field experiments occur in real-world settings, which can enhance external validity but may be less controlled.
3
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A ‘Natural’ Experiment
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- This example highlights how some real-world situations can mimic the controlled conditions of a laboratory experiment, leading to a “natural” experiment.
- In Posner’s study, the division of the Chewa and Tumbuka peoples by an arbitrary border provides a unique natural experiment. By comparing these groups, researchers can examine the impact of the border on their relationships and political behavior.
4
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Observational Designs
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- Observational research designs contrast with experimental designs. Instead of manipulating variables, researchers work with the naturally occurring variation in the world.
- Observational research can be further divided into variable-oriented and case-oriented designs. Researchers choose the most appropriate approach based on their research questions and goals.
5
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Statistical Observation
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- Statistical observation is a critical part of observational research. It involves analyzing relationships between variables using statistical methods, such as correlations, regressions, or cross-tabulations.
- Researchers often use cross-sectional designs (examining data at a single point in time) and time-series cross-sectional designs (which analyze data across multiple time points and cases).
6
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Comparative Method
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- The comparative method focuses on comparing a small number of cases to generate broader generalizations. This approach is valuable when there are too few cases for traditional statistical analyses.
- This method is versatile, enabling researchers to explore a wide range of research questions. It’s commonly used in political science, where there may be a limited number of relevant cases.
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