SRM: Unit 1-5 Notes

Key terms:

  • Conceptualization: A researcher’s clarification of how they are defining a concept 

  • Operationalization - Turning a conceptualization into a measure using specific, observable indicators 

  • Valid - Measure has to actually measure the concept

  • Reliable - Measure has to work every time, even in different contexts 

  • Explanatory variable: The supposed CAUSE

  • Outcome variable: The supposed EFFECT 

  • Confounding variable 

General notes:

  • Consider what questions are even being asked and by whom

  • Key parts of a project’s validity

    • Measurement (internal validity)

      • Operationalization methods

        • Ethnography

        • Surveys 

        • Interviews 

      • Four types of measurement validity 

        • Face - measure seems reasonable/makes sense 

        • Content - all possible answers are included in measure 

        • Criterion - answers are comparable to answers that would be received from the ideal possible question (gold standard) 

        • Construct - measure is supported by other measures for the same concept

      • Two ways to test reliability

        • Test-retest reliability - asks the same question at two different points in time

        • Alternate forms - Asks the same question two different ways 

    • Generalizability (external validity)

      • Possible bias in sampling

        • Selection bias - not everyone has an equal chance of being selected for the sample 

        • Non-response bias - cases that are selected in the sample are not actually included in the sample 

    • Causality (Causal validity) - explanatory research questions 

      • Are X and Y correlated?

        • Types of causal explanations

          • Idiographic 

            • Focus on a single event and single set of people

            • Personal troubles 

          • Nomothetic 

            • Focus on patterns of events that happen to patterns of people 

              • Public Issues 

      • Time/temporal order - does X happen before Y

      • Non-spuriousness - there’s not something causing both X and Y to change at once

        • X doesn’t have to be the only cause of Y 

          • Only spurious if X isn’t the real cause of Y 

      • Mechanism - why could X cause Y?

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