terms from lectures Flashcards

1
Q

grounded theory

A

An approach to the analysis of qualitative data in which the goal is to use the data to generate theory; the data collection and analysis proceed in an iterative (recursive) fashion.

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2
Q

middle range theory

A

limited in scope and can be tested using empirical evidence.

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3
Q

grand theory

A

general and abstract. provide ways of looking at the world that can be an inspiration for research.

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4
Q

3 categories of epistemology

A
  1. positivism. (empirical, testable, science = value free.)
  2. interpretivism. (critique of positivism, focuses on subjective meaning.)
  3. critical approach. (also critique of positivism, science =/= value free.)
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5
Q

ontology

A

branch of metaphysics dealing with study of being.

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6
Q

epistemology

A

study of knowledge and how it is acquired.

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7
Q

2 ontological perspectives

A
  1. objective. (reality is objective, outside of perception.)
  2. constructionist. (reality is set of mental constructions.)
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8
Q

reflexivity

A

researcher’s awareness that values, decisions, biases, and presence impact the research. want to make bias explicit; reflexive on process.

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9
Q

response set

A

A term for the tendency for some people, when responding to multiple-indicator measures, to respond to every item in the same way, suggesting that their answers are motivated by something other than their actual feelings. Three of the most common response-set effects are “acquiescence,” “social desirability,” and “laziness or boredom.” impossible to completely avoid.

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10
Q

probing

A

used when interviewer needs more information from respondent. can be problematic so should be standardized to avoid influencing answers.

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11
Q

prompting

A

when interviewer suggests a specific response to the interviewee. rare. last resort.

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12
Q

researcher driven diaries

A

alternative to using questionnaires and interviews, especially when interested in behaviours rather than attitudes. participants record feelings, perceptions, and actions shortly after they occur.

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13
Q

ecological fallacy

A

characteristics of the group are falsely applied to individuals.

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14
Q

2 research design explanation types

A
  1. nomothetic. (cause and effect, expressed in general laws/principles. quantitative.)
  2. idiographic. (rich descriptions, qualitative.)
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15
Q

measurement/construct validity

A

measuring what you purport to be measuring.

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16
Q

2 types of longitudinal design

A
  1. panel. (same group studied at diff times.)
  2. cohort. (diff groups studied at diff times. less attrition.)
17
Q

panel conditioning

A

when people’s actions or beliefs change after participating in panel.

18
Q

3 types of case

A
  1. critical case. (shows conditions under which hypothesis holds/does not hold.)
  2. extreme/unique case. (study extreme to understand common.)
  3. revelatory case. (case/context never before studied.)
19
Q

2 types of concept definitions

A
  1. nominal. (describe concept in words.)
  2. operational. (describe how to measure concept.)
20
Q

codes

A

labels or titles given to themes or categories.

21
Q

internal reliability/consistency

A

whether multiple measures administered in one setting are consistent.

22
Q

concurrent validity

A

measure correlates with criterion thought to be relevant to concept.

23
Q

construct validity

A

concepts relate to each other in a way consistent with researcher’s theory.

24
Q

convergent validity

A

one measure of concept correlates with second measure of same concept using different measurement technique.

25
Q

kendall’s tau-b

A

shows correlation between pairs of ordinal variables, or one ordinal and one interval-ratio variable.

26
Q

spearman’s rho

A

correlation between pairs of ordinal variables.

27
Q

cramér’s v

A

shows strength of relationship between two nominal variables.

28
Q

chi-squared

A

measures likelihood that relationship between two variables exists in population.

29
Q

spuriousness

A

exists if two variables are correlated but only through a third variable. two IV’s.

30
Q

systematic sample

A

type of probability sample. participants selected directly from sampling frame without using random numbers.

31
Q

periodicity

A

problem with systematic sampling that occurs if cases in sampling frame are arranged in some systematic order. increases chances of sampling error.

32
Q

multi-stage cluster sampling

A

type of probability sampling for large populations with no adequate sampling frame. 2 or more stages of picking clusters. problem of clusters being different sizes and cluster samples being stratified as well.