Chapter 2 Flashcards

1
Q

3 jobs of theories

A
  1. identify key variables
  2. tell causal stories
  3. explain variation
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2
Q

spatial variation

A
  • multiple units measures @ one time
  • cross sectional (CS)
    EX. # of giving campaigns of each nonprofit in Broome county
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3
Q

temporal variation

A
  • repeated measurement of one unit @ different moments in time
  • time series (TS)
    EX. Broome county covid cases everyday from May 7th - May 15th
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4
Q

time series cross-sectional (TSCS)

A

EX. BU mean GPAs across majors and semesters

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5
Q

hypothesis

A

predictions of what will happen if theory is correct

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6
Q

modifable variables

A

causes of outcome we influence

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7
Q

non-modifiable variables

A

cannot be changes by policy/practice
EX. policymaking done through democratic process in US

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8
Q

grand social theories

A

a.k.a. theoretical paradigms
- shape researchers view of variables and mechanisms
EX. rational choice theory - select decisions that max. benefits/utility

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9
Q

exploratory and qualitative research

A

linking threads of empirical evidence form exploratory studies in field

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10
Q

positive theory

A

how things are

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11
Q

normative theory

A

how things should be

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12
Q

model

A

graphical or mathematical representation of two items

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13
Q

variables

A

different values/attributes, can vary

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14
Q

relationships

A

show how change in x produces change in y

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15
Q

assumptions

A

explicit statements of assumptions lead us to think precisely

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16
Q

good model does three things

A
  1. connects X+Y via shortest route
  2. parsimonious relationship
    3.make new predictions
17
Q

causal mechanisms

A

process by which change in X is presumed to cause change in Y

18
Q

units of analysis

A

objects or thins described ny variables in model

19
Q

logic models

A

graphical model showing how a program produces desired outcomes

20
Q

intervening variables

A

intervene between independent and dependent variables
- help articulate causal process through which change in X produces change in Y

21
Q

Why use logic models?

A
  • identify unrecognizable variables to track performance indicators
    -helps design program evaluation
22
Q

hierarchical models

A

describe relationship between variables @ different levels of units of analysis