Research Exam #2 Flashcards

1
Q

Types of Qualitative Research Designs

A
Phenomenology
Grounded Theory
Ethnography
Autoethongraphy
Participatory Action Research
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2
Q

Phenomenology

A

qualitative research about people’s lived experiences

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3
Q

Grounded Theory

A

(sociology) Collecting/analyzing data with the goal of creating theories that explain observations and experiences

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4
Q

Ethnography

A

(anthropology) experience of a specific cultural group
- autoethnography: experience of a person
- institutional ethnography: experience of an institution

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5
Q

Participatory action research

A

(politics) asks individuals what Q’s to ask to learn about xyz, then uses their answers as the questions they ask

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6
Q

qualitative terms relating to VALIDITY/RELIABILITY

A
  • trustworthiness
  • authenticity
  • transferability
  • credibility
  • dependability
  • confirmability
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7
Q

trustworthiness

A

(qualitative, validity)

how well the results can be trusted

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8
Q

transferability

A

(qualitative, validity)
=quantitative external validity
can the data apply to other circumstances?
enhanced by: thick description

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9
Q

credibility

A

(qualitative, validity)
=quantitative internal validity
how confident are we in the truth of the data?
enhanced by:prolonged engagement, persistent observation, peer-debriefing, member checking, triangulation (multiple methods to document 1 phenomenon)

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10
Q

dependability

A

(qualitative, validity)
=quantitative reliability
stability of data over time and space
enhanced by: step-wise replication (multi

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11
Q

validity

A

how well can the data be trusted?

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12
Q

reliability

A

was it measured correctly?

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13
Q

Types of Quantitative Validity

A

statistical conclusion validity
internal validity
construct validity
external validity

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14
Q

statistical conclusion validity

A

is there a relationship between the independent and the dependent variables? (did we use the right stats?)

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15
Q

internal validity

A

is there evidence of a causal relationship between the independent and dependent variables? (did the intervention actually cause the dep. variables change? were all others rules out?)

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16
Q

construct validity

A

to what theoretical constructs can the results be generalized?

17
Q

External validity

A

can the results be generalized to other persons, settings or times?

18
Q

Pyramid of Quantitative types of validity

A

statistical conclusion
internal
construct
external

19
Q

Threats to Internal Validity

A

iMulti-group threats:
1.selection history (something different happened to group 1 than group 2 between pre and posttests) ,
2. selection maturation: when geoups experience different maturational changes (5mos-10mos olds vs 10yr-10.5 yr olds)
3. selection attrition,
4. selection testing: when pretests effect groups differently
5. selection instrumentation: test is not consistent across groups (due to variance in reliability)
6.selection regression to the mean: interaction is of concern if the groups are specifically divided based on higher and lower pretest scores
Single group threats:
1. history (something may have happened to have an effect on the dependent variable),
2. maturation: changes occur to dep. variable due to passing time
3. attrition: potential loss of participants during the data collection
4. testing threat: the mere act of collecting data changes the response being measured (potential effect of pretesting or repeated testing on the dep. variable
5. instrumentation: bias due to an unreliable/ inaccurate measuring system
6. regression to the mean: statistical phenomenon where scores on pretests are inherently likely to move towards the group mean in the post-tests

20
Q

Threats to Statistical Conclusion Validity

A

wrong stats
ow statistical power (number of ppl to make it valid),
type I/type II errors,
variance

21
Q

Threats to Construct Validity

A

Reactivity: participants reacting to being in a study
1. Hawthorne effect: performance is effected (better) because they know they are in a study
2. Novelty effect: react because its new
Realism:________

22
Q

Threats to External Validity

A

if anything above is invalid it can not have external validity.

i. social threat: group a talks to group b
ii. compensatory equalization of treatment: treat the control group extra well to compensate for the fact that they are not getting the “better” treatment

23
Q

population:

A

the entire set of individuals or units to which your data will be generalized

24
Q

Target population

A

the larger population to which results of a study will be generalized (: the people with the condition your are focusing on, but not in your study)

25
Q

accessible population

A

¬¬¬¬¬¬The actual population of subjects available to be chosen for a study, usually a non random subset of the target population

26
Q

representative sample

A

a small groups whose characteristics are of equal proportions to those of a larger group

27
Q

sampling bias

A

bias that occurs when individuals who are selected for a sample overrepresent or underrepresent the underlying population characteristics

28
Q

sampling error

A

the difference between an observed statistic from a sample and the population parameters

29
Q

non-probability sampling

A

a sample that was not selected using random selection (weaker, but easier)

30
Q

probability sample

A

a sample chosen using randomized methods

31
Q

non-probability sampling

A

convenience: ppl at DU
snowballing: you’re in, get 3 fiends too!
quota

32
Q

Probability sampling (quantitative)

A

a sample chosen using randomized methods

33
Q

random sampling

A

probability method of selecting subjects for a sample, where every subject in the population has an equal chance of being chosen

34
Q

stratified random sampling

A

the grouping of individuals in a population into homogeneous groups on some characteristic prior to sampling (study on elementary school kids—take 1st , 2nd & 3rd graders and randomly split 1st in to a/b, randomly out 2nd in group a/b, randomly take 3rd split into a/b)

35
Q

cluster sampling

A

probability sampling in which large subgroups (clusters) are randomly selected, and then smaller units from those clusters are successively chosen