Chapter 7 - Research Design Flashcards

1
Q

The Research Trinity

A

Design
Measurement
Analysis

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2
Q

Research Design

A

The “recipe” or “blueprint” for the research project.

The step-by-step plan for obtaining observations to
support sound conclusions about a question of
interest.

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3
Q

Purpose of Study

A

Exploratory
Descriptive
Causal or “cause-probing”*

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4
Q

Extent of Researcher Interference

A

Control

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5
Q

____________ is Important for establishing causality

A

Control

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6
Q

Prominent forms of control

A
  • Manipulation (altering the presumed cause/IV)
  • Randomization (random assignment to conditions)
  • Elimination (make “constant”)
  • Inclusion as variable(s) (e.g., study men & women)
  • Statistical
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7
Q

Two Study Settings

A
  • Contrived
  • non-contrived
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8
Q

Contrived Study Setting

A

lab settings

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9
Q

non-contrived Study Setting

A

field settings

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10
Q

Examples of Unit of Analysis

A
  • Individual
  • Dyad
  • Group
  • Division
  • Organization
  • Industry
  • Culture
  • Country
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11
Q

Cross-sectional studies

A

Data collected on a particular sample at a particular
point in time (snapshot)

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12
Q

Longitudinal studies

A

Data collected on a particular sample at multiple
points in time

  • “Repeated measures” is a similar term, especially for studies
    involving two time-periods.
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13
Q

Multiple cross-sectional studies

A

Data collected on different samples at multiple points
in time.

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14
Q

Research Strategies

A
  • Experiments
  • Quasi-experiments
  • Survey research
  • Observation
  • Case studies
  • Grounded theory
  • Action research
  • Mixed methods
    – Triangulation (looking for converging evidence)
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15
Q

Cause-Probing Research Strategies

A

Experiment
Quasi-experiment

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16
Q

Factors of cause-probing Experiment

A

– Manipulation of IV(s)
– Random assignment of units to conditions
* Control & experimental
– Measure effects on DV(s)
– Control potential
confounds
– Clarification:
* Sometimes researchers will do a pre-test and post-test on the DV
* Pre-testing not a defining feature of an experiment

17
Q

Factors of cause-probing Quasi-experiment

A

– Very similar to experiment
– Except: No random assignment
* May use intact or selfselected groups instead
– More likely to measure potential confounds
* Statistical control
– Similar to both experimental & relational designs

18
Q

Descriptive Research Strategies

A

Description/Estimation
Relational

19
Q

Factors of Descriptive Description/Estimation

A

– Focus on description and estimation
– Various qualitative and quantitative research strategies
* E.g., observation, interviews, focus groups, surveys
– Useful at, but not limited to, exploratory research

20
Q

Factors of Descriptive Relational

A

– No random assignment
– No manipulation(s)
– Measure variables (at least two)
* May include “predictor” and “criterion” as well as mediator(s), moderator(s), and control variables
– Cause → Effect inferences?
* “Consistent with” language
* A lot of alternative explanations

21
Q

Research design

A

A blueprint or plan for the collection, measurement, and analysis of data, created to answer your research questions.

22
Q

Survey

A

A system for collecting information from or about people to
describe, compare, or explain their knowledge, attitudes, and
behavior

23
Q

Ethnography

A

A research process in which the anthropologist closely observes, records, and engages in the daily life of another culture and then writes accounts of this culture, emphasizing descriptive detail.

24
Q

Case study

A

Focuses on collecting information about a specific object, event or activity, such as a particular business unit or organization.

25
Q

Noncontrived setting

A

Research conducted in the natural environment where activities take place in the normal manner (i.e., the field setting).

26
Q

Contrived setting

A

An artificially created or “lab” environment in which research is conducted.

27
Q

Field study

A

A study conducted in the natural setting with a minimal amount of researcher interference in the flow of events in the situation

28
Q

Field experiment

A

An experiment done to detect cause‐and‐effect relationships in the natural environment in which events normally occur.

29
Q

Lab experiment

A

An experimental design set up in an artificially contrived setting where controls and manipulations are introduced to establish cause‐and‐effect relationships among variables of interest to the researcher.

30
Q

Unit of analysis

A

The level of aggregation of the data collected during data analysis.

31
Q

Cross‐sectional study

A

A research study for which data are gathered just once (stretched though it may be over a period of days, weeks, or months) to answer the research question.

32
Q

Longitudinal study

A

A research study for which data are gathered at several points in time to answer a research question.

33
Q
A