Introduction to Research Design Flashcards

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1
Q

What are the Objectives of Political Research?

A
  • Aims to address big and smaller questions
  • To generate answers with external validity
  • To create strong designs that yield accurate, unbiased and relevant answers
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2
Q

What does MIDA stand for?

A

Model, Inquiry, Data strategy and Answer strategy

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3
Q

What are the theoretical elements of MIDA research design?

A

Model and Inquiry

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4
Q

What are the empirical aspects of MIDA research design?

A

Data strategy and Answer Strategy

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5
Q

What is the Model?

A

Represents our understanding of how the world works.
- Speculations about causal relationships, correlations and sequences of events.
- It defines units of study, conditions and outcomes.

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6
Q

What is an Inquiry?

A

Inquiry formulates research questions within the context of our model. Can be causal or descriptive.

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7
Q

What is an Estimand?

A

Part of the Inquiry: The estimand represents the theoretical answer to the Inquiry (research question derived from our model)

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8
Q

What is Data Strategy?

A

Data strategy focuses on measuring and operationalizing elements of our model and inquiry.
- Involves selecting units (sample vs population)
- Conditions (observational vs experimental)
- Measuring outcomes

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9
Q

What is Answer Strategy?

A

Statistical or qualitative methods to summarise and interpret data (cleaning, transforming, estimating data.)

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10
Q

How do researchers implement the MIDA framework?

A
  1. Researchers use the MIDA framework to select research designs
  2. Researchers can assess the dependencies across design elements by declaring each element (M,I,D,A)
  3. Researchers are encouraged to consider real world implications of their design and adjust their strategies accordingly
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11
Q

What is a Declaration?

A

Declaring a design involves identifying which components belong in M, I, D, and A of the MIDA framework.

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12
Q

What are the challenges of a Declarations?

A

Mapping ideas into MIDA isn’t always straightforward but is rewarding.

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13
Q

How can you declare a design?

A

Designs can be declared in words or code, with statistical programming languages like R with the ‘DeclareDesign’ software.

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14
Q

Why is it important to declare a design?

A

Expressing a design in terms of MIDA allows for a deeper understanding of its properties

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15
Q

What is a Diagnosis?

A

Diagnosis involves simulating a research design to understand potential outcomes and properties.

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16
Q

Why is it important to do a Diagnosis?

A

Simulation helps assess features like statistical power, biases, and error rates.

17
Q

What are Diagnostic Statistics?

A

Summary statistics from a single run of a design, e.g., error or significance.

18
Q

What are Diagnosands?

A

Summaries of diagnostic statistics across multiple simulations, e.g., bias or power.

19
Q

What is a ‘Success criteria’ in relation to Diagnosis?

A

Articulating what constitutes success and evaluating the likelihood of achieving it through simulation.

20
Q

What are some concerns regarding Diagnosis?

A

Risks include incorrect diagnoses and reliance on a narrow set of diagnosands.

21
Q

What is meant by the term ‘Redesign’?

A

Redesigning involves fine-tuning data and answer strategies to improve diagnosands.

22
Q

What is meant by the term ‘Optimisation’?

A

Adjusting sample size, data collection methods, or analysis strategies to enhance design properties.

23
Q

What are some constraints to Redesign?

A

Redesign considers ethical, logistical, and financial limitations.

24
Q

What are the six principles of Research Design?

A
  1. Design holistically
  2. Design agnostically
  3. Design for purpose
  4. Design early
  5. Design often
  6. Design to share
25
Q

What is meant by ‘Design Holisitically’?

A

Design with all parts in mind; diagnose the full design, not just the individual parts

26
Q

What is meant by ‘Design Agnostically’?

A

The design should work across different scenarios