Lecture 4 Flashcards

1
Q

When does data collection occur?

A

Quant: Specific step along the way. Occurs after sampling.
Qual: iterative cycle btwn sampling, data collection, data analyses.

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2
Q

Data collection principles: Qualitative

A

Investigator involvement considerable.
Collection and analyses are intertwined: inform each other, verify understanding
Time spent GAINING ACCESS and gathering data may be considerable.
Multiple methods for gathering data.

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3
Q

Data collection principles: Quant

A

Investigator involvement is minimal
Data analyses conducted when all data available
May take a long Time
Methods are prescribed, do not change after protocol is established

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4
Q
Investigator involvement in:
phenomenology
grounded theory
participatory action research
ethnography
A

p: active listener
g: fully participates
par: variable, depends on study
e: fully participates

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5
Q

Data collection approaches for both qual and quant (5)

A
  • observe
  • ask questions
  • examine materials
  • measure performance
  • self report
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6
Q

How do you collect data in qual?

A
  • fieldwork: notes, reflections
  • observe
  • ask questions: interviews or focus groups
  • examine materials
  • audio taping
  • photo’s and videos
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7
Q

How do you collect data in quant?

A
  • observe, count
  • checklists
  • interviews: structured (specific answers to count)
  • examine materials
  • questionnaires
  • outcome measures
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8
Q

How do you gain access (people, context) to qualitative data?

A
  • point of entry through the physical location and the experiences of the participants
  • process depends on nature of the question
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9
Q

What do you consider while gaining access to qual data?

A
researcher position
existing networks
rapport
previous research experiences
known site vs. unknown
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10
Q

Why does previous research experience matter?

A

Shows credibility in researcher.

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11
Q

What happens after the researcher gains access? (“Learning the ropes”) - Qual

A
  • ongoing fieldwork: learn personal stories of informants, gain familiarity w/ setting, become an insider
  • Rich Point
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12
Q

What is a Rich Point?

A
  • point at which the investigator realizes his/her assumptions are not sufficient to explain the nature of the context.
  • Investigator must work at understanding what is really happening by asking questions that focus or refocus
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13
Q

How do you refer to individuals in studies?

A
  • subjects - quant - passive, objective
  • respondents - surveys
  • informants- qual - subjective
  • key informants -
  • participants
  • other terms - insiders, outsiders
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14
Q

What is a key informant?

A

Person particularly knowledgeable.

  • useful for helping investigator understand what is happening
  • used to obtain info about subgroups to whom the researcher has no access
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15
Q

How do you ensure data accuracy in qual research (7)? What are they important for?

A
  • multiple gatherers
  • triangulation (crystallization)
  • saturation
  • member checking
  • reflexivity
  • audit trail
  • peer debriefing

**all important for criteria of merit

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16
Q

Multiple Gatherers

A

several investigators analyze independently, then compare results

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17
Q

triangulation (crystallization)

A

multiple approaches (observe, interview, collect materials, etc)

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18
Q

saturation

A

sufficient info, no new insights

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19
Q

member checking

A

validate assumptions w/ informants

20
Q

Reflexivity

A

to elucidate investigator bias

21
Q

audit trail

A

explain thinking and action leading to results

22
Q

Peer debriefing

A

more than 1 investigator analyzing

23
Q

How do you measure in quant studies?

A
  • assign #’s to represent quantities of a characteristic, attribute or to classify objects: describes behaviours, allows comparisons across people/within person
  • levels of measurement: nominal, ordinal, interval ratio
24
Q

What are levels of measurement?

A

Nominal - naming
Ordinal
Interval and Ratio

25
Q

Characteristics of experimental type levels of measurement

A

See Table.

26
Q

Measurement scales - types

A
  • Likert scale

- Visual Analogue Scale

27
Q

Likert scale

A
  • ordinal

- definitely satisfied, somewhat satisfied –> etc

28
Q

Visual analogue scale

A
  • interval or ratio
  • can have numbers or categories
  • no pain to worst pain
29
Q

What are measurement instruments used for (5)?

A
  • describe group
  • to screen- screening test
  • to determine risk - predict future, risk assessment
  • to diagnose - diagnostic test
  • to make comparisons, evaluate outcomes
30
Q

Types of measures in quant?

A
  • single items: weight, ROM

- composite scales: QoL, FIM

31
Q

How can you be confident w/ the quality of your data?

A
  • validity

- reliability

32
Q

Validity

A
  • extent to which an instrument evaluates what it is intended to measure.
  • affected by both random and systematic error
33
Q

Reliability

A
  • repeatability
  • sources of error - include instrument, rater
  • due to random error
  • measured by statistics
34
Q

What are types of measurement error?

A

Random - occurs by chance

Systematic - consistent variation

35
Q

What are types of validity in quant?

A
  • traditional view: face validity, content validity, construct validity, criterion validity
  • contemporary view: unitary concept w/ many facets; theory driven, assign meaningful interpretation to scores or outcomes
36
Q

Face validity

A

Look up

37
Q

Content validity

A

Look Up

38
Q

Construct validity

A
  • convergent - everyone is supposed to be the same

- divergent - everyone is different

39
Q

Criterion validity

A
  • concurrent: take new measure/old measure, see if you get the same result
  • predictive: do above in the futre
40
Q

What is the significance of contemporary view of validity?

A

If the research doesn’t affect the person, it doesn’t really matter in the end…. ??

41
Q

What are assessments of reliability in quant?

A
  • extent of internal measurement error: stability reliability (test-retest), internal consistency reliability
  • extent of external measurement error (equivalence): inter and intra rater reliability
42
Q

What are evaluative outcome measures in quant?

A
  • “sensitivity to change”: ability to detect change, but the change may not be clinically meaningful
  • “responsiveness” - detect clincially important change
43
Q

What are psychometric properties in quant?

A
  • properties of an ax instrument
  • extent of validation for the pop. being tested
  • term from psychologists, social scientists
44
Q

What are clinimetric properties?

A
  • properties of indexes, rating scales, etc used to describe or measure symptoms, physical signs, clinical phenomena in clinical medicine
  • extend of validation of these clinical ax tools
45
Q

What are evaluative assessments that are often used interchangeably?

A
  • psychometric

- clinimetric