Choosing a Research Design Flashcards

1
Q

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.
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2
Q

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.
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3
Q

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.
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4
Q

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.
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5
Q

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).
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6
Q

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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7
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