Chapter 2: Research Methods Flashcards

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1
Q

Types of variables

A

1) independent - the measure / manipulated variable (predictors)

2) dependent - what you’re studying, the variable of interest. (criteria)
ex: what impact does the independent variable have on what we’re studying (the dependent variable)?

3) extraneous variable aka confounding - an outlying variable that can contaminate the results.
3a) control variables - extraneous variables that need to be held constant on the study to not confusing results w/ impact if independent variables

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2
Q

Characteristics of a Good Theory

A

parsimonious (explain a lot as simply as possible)

precision (specific and accurate conceptual statements)

testability (verifiable by experimentation)

useful (focused on important phenomenon)

generative (stimulate research that attempts to support or refute the theory)

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3
Q

Inductive model of research

A

working from data to theory

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4
Q

deductive model of research

A

theory to data -

working from theory and propositions and then collect data to test

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5
Q

causal inference

A

a conclusion drawn about the likelihood of a causal relationship between variables

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6
Q

experimental research design

A
  • Lab - control the environment

- Field / Quasi-experiments

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7
Q

Observational research design

A
  • Survey
  • Archival research - the most common example of meta-analysis
  • Naturalistic observation
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8
Q

internal validity

A

confidence that result was from independent variable impacting dependent variable

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9
Q

external validity

A

can the results be generalized

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10
Q

hypothesis

A

tentative statement about relationship between two or more variables

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11
Q

Data Collection Techniques

A
naturalistic observation (unobtrusive)
case studies
archival research
surveys
experience sampling methodology
social network analysis
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12
Q

Validity

A

am I accurately measuring the construct I’m describing?

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13
Q

Reliability

A

get consistent results / stable

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14
Q

Test/retest reliability

A

same individual, group, sample etc.)and measure the difference between the two scores

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15
Q

Parallel forms

A

common in standardized tests. I.e. Computerized adaptive testing. Different versions of the same test w/ consistent scores across both versions

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16
Q

Interrater reliability

A

across different raters (panel, assessor)

17
Q

Internal consistency

A

multiple items that are meant to measure 1 thing, each item is behaving in a similar way, and accurately measuring what you want to measure, together.

18
Q

construct validity

A

extent to which a test measures the underlying construct (something not observable - intelligence)that it was intended to measure

19
Q

content validity

A

extent to which a test covers a representative sample of the quality being assessed

20
Q

predictive validity

A

scores obtained at one point can predict criteria in the future

21
Q

concurrent validity

A

test predicts a criterion that is measured at the same time the test os conducted. i.e. measure job attitudes and performance at the same time - gives us concurrent validity of job attitudes to predict performance

22
Q

convergent validity

A

the degree to which the measure of the construct we’re interested in, is related to measures of similar constructs

23
Q

divergent validity

A

the degree to which the measure of the construct we’re interested in, is unrelated to measures of dissimilar constructs

24
Q

correlation coefficient

A

stat that measures the strength and direction (pos/neg) of a relationship between 2 variables

25
Q

correlation

A

relevant because they are intimately involved in prediction in IO

26
Q

regression

A

allows us to predict one variable from another = r