Theory Flashcards

1
Q

What are the building blocks of theory development?

A

1) What: What are the logical factors that need to be considered when explaining the phenomena?
- Comprehensiveness: Does this consider all possible variables?
- Parsimony: Does it include variables that do not need to be included? I.e. does not provide additional value.
2) How: How are the variables above related to each other? (box and arrows)
- Introduces Causality
3) Why: Why do these relationships take place?
- Constitutes the theory’s assumptions
- In this stage, logic replaces data
- Propositions- Involve concepts. Hypothesis: Involves Measures
4) Who, Where, When: Introduces temporal and contextual factors
- Introduces the range of the theory

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2
Q

What is a legitimate value-added contribution to theory development?

A

Changing the What and How
Changing only the Whats
Changing or deepening understanding of the Why
Focusing on boundary expansion through changes in qualitative attributes would prove more fruitful.

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3
Q

What factors are considered in judging conceptual papers?

A
What’s New
So What?
Why So?
Well Done?
Done Well?
Why Now?
Who Cares?
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4
Q

“Paradigm Wars”

A

In-between theory debate (where academics take theories and treat them as theoretical perspectives) should not take away from attention to within-theory improvement (going deeper into the theory to see “is this the best we can do?”

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5
Q

“Chrysalis Effect”

A

the tendency to modify a priori hypotheses little by little until they are consistent with the findings, in order to be published- leading to a post hoc theory rather than
proposed a priori

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6
Q

Null Hypothesis Significance Testing (NHST)

A

Campbell, J.P. & Wilmot, M.P. (Forthcoming).

While this test should have nothing to do with the
probability of getting published, it does influence this, even though there is a plethora of issues related to NHTS, some of which are that Statistical Signifiance (SS) Has nothing to do with substantive significance
- Has nothing to do with the probability of replication
- Motivates biased efforts to reject null hypothesis
- Leads to HARKing

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7
Q

TFTS

A

Theory for Theory’s Sake (TFTS) - This is dangerous as it serves no scientific purpose
Campbell, J.P. & Wilmot, M.P. (Forthcoming).

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8
Q

Theory Pruning

A

hypothesis specification and study design intended to bound and reduce theory, also called the strong inference approach
Levitt, K. Mitchell, T.R. & Peterson, J. (2009)

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