Non-Experimental Design Flashcards

1
Q

Describe non-experimental design.

A
  • No manipulation of variables, examine effects of existing differences (can be quantitative or qualitative)
  • Qualitative research is often used to jump-start asking new questions or to develop quantitative measures
  • May include verbal statements, direct quotes, excerpts, open-ended responses, etc.
  • Inductive reasoning: data is collected to identify trends/themes to develop theories
  • Often includes natural environments/situations
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2
Q

What are the goals of non-experimental designs?

A
  • Observe, describe, document behavior or characteristics
  • Examine relations among behavior or characteristics
  • Compare characteristics
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3
Q

What are types of non-experimental designs?

A
  • Descriptive
  • Relationship
  • Comparative
  • Causal-comparative or Cohort
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4
Q

What are types of descriptive non-experimental designs?

A
  • Surveys
  • Case studies
  • Prevalence studies
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5
Q

Describe surveys.

A
  • Types of questions: yes/no, categorical, rating scale, cumulative response, open-ended
  • Advantages: easy to test/score, can test large # people, may be standardized
  • Disadvantages: difficult to craft questions (i.e. leading questions, social desirability, ambiguity), voluntarily/non-response bias, may be reliability but not necessarily valid
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6
Q

Describe case studies.

A
  • Intense observation of an individual to understand their behavior
  • Can utilize an experimental design
  • Trade-off between gathering evidence in natural setting vs. having as much experimental control as possible
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7
Q

What are types of relationship non-experimental designs?

A
  • Correlational

- Predictive (regression)

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8
Q

Describe correlational studies.

A
  • Two variables that vary along a dimension (not groups)

- Examine if the extent of one relates to the extent of the other

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9
Q

Describe predictive/regression studies.

A
  • Two or more variables

- Examine measures close in time/use to predict the future occurrence of another

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10
Q

What are types of comparative non-experimental design?

A
  • Case-control

- Group comparisons

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11
Q

Describe case-control studies.

A
  • Examines the degree to which people are one vs. the other

- Problems of restricted range, skewed sample (extreme participants)

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12
Q

Describe group comparison studies.

A
  • Examines the impact of existing differences between 2+ groups on a measure of skill/characteristic
  • EX: demographics, disorder vs. control
  • Assumes everyone is either one or the other category
  • Problem is unequal sample sizes
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13
Q

Describe causal-comparative studies.

A

-Obtain several measures per participant in order to control for possible alternative explanations

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14
Q

Compare longitudinal vs. cross-sectional studies.

A

LONGITUDINAL

  • Better control for other differences between groups
  • Slower to run
  • More participant drop-out (attrition)
  • Order effects

CROSS-SECTIONAL

  • Groups may differ on factors besides age
  • Faster to run
  • Attrition not a factor
  • Particiapnts are naive
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15
Q

Describe naturalistic observation studies.

A
  • Ethology: the study of naturally-occurring behavior

- Method: making detailed observations of animals/humans in their natural settings

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16
Q

Describe ethnography studies.

A
  • Systematized form of participant observation
  • Describe patterns of behavior that characterize a culture in natural settings
  • Fieldwork, behavior, artifacts, speech samples
17
Q

Describe grounded theory.

A
  • No presumptions; data direct the development of the theory and refine repeatedly
  • Analysis: open coding, axial coding, selective coding
18
Q

What is open coding?

A

-Read through many times to summarize patterns

19
Q

What is selective coding?

A

-Finding core variable across all data

20
Q

What is axial coding?

A

-Defining relationships

21
Q

Describe phenomenology studies.

A
  • Verbal transcript of narrative
  • Holistic sense
  • Identify parts (meaning changes)
  • Re-wording to capture underlying meaning
  • Generate a written description of the structure of an event
22
Q

Describe conversion analysis.

A
  • Recordings of conversational interactions
  • Measures: orthographic transcripts
  • Analysis of transcripts: intended actions, turn-taking , how other person responds, prosodic features
23
Q

What is examined with scientific rigor?

A
  • Researcher bias: reflectivity, negative case sampling, research triangulation
  • Descriptive adequacy: demonstrate factual accounting (i.e. methods/data triangulation, thick description)
  • Interpretative adequacy: how well study captured/conveyed the meaning of an experience