Exam #2 Flashcards

(51 cards)

1
Q

Experimental and Quasi-Experimental Designs

A

-Researcher intervenes
-Tests cause-effect
-Provide Level 2 and 3 evidence

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2
Q

True Experimental Design Properties

A
  1. Randomization
  2. Control
  3. Manipulation

Often called Randomized Controlled Trial (RCT)

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3
Q

Control

A

Acquired By
-Manipulating independent variable
-Random assignment
-Using control group

-The control group receives the usual care or a placebo

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4
Q

Treatment Effect

A

Effect attributed to the intervention

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5
Q

Effect Size

A

Statistical measure of the strength of the relationship between two variables

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6
Q

Power Analysis

A

-Informs researcher of SAMPLE SIZE NEEDED to determine of the effect intervention

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7
Q

Types of Experimental Design

A
  1. Randomized controlled trial
  2. Solomon four group design
  3. After only design
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8
Q

Randomized Controlled Trial

A

-use experimental and control groups

-Intervention Fidelity: every subject receiving the intervention receives the same intervention

-Statistical comparisons to determine any differences between groups

-Healthy sample size

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9
Q

After-Only Design

A

-AKA Post-test only control group design

-Two random groups, neither is pre-tested

-Used to minimize testing effects or when pretest isn’t possible

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10
Q

Strength of Experimental Design

A

Most powerful for testing cause and effect

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11
Q

Weakness of Experimental Design

A

-complicated to design

-Costly to implement

-difficult to implement

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12
Q

Quasi-Experimental Design

A

-Tests CAUSE and EFFECT

-Randomization may not be possible, or may not be control group, or neither

Provides LEVEL 3 evidence

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13
Q

Types of Quasi-Experimental Design

A

-Nonequivalent control group design
-After-only Nonequivalent control group design
-One Group (pretest-posttest) design
-Time series design

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14
Q

Nonequivalent Control Group Design

A

-No randomization

-Can compare two groups on variables of interest before the intervention

-Threats to internal validity include selection, maturation, testing, and mortality

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15
Q

After-Only Nonequivalent control group design

A

-Assigned experimental and control groups, but neither is pretested or measured

-Useful when testing effects are suspected to be a major threat to internal validity

-No randomization

-AKA Posttest only

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16
Q

One-group only (pretest-posttest design)

A

-When only one group is available for study

-Only an experimental group; data is collected before and after an experimental treatment

-No control group, no randomization

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17
Q

Time-Series Design

A

-Design is useful for determining trends over time

-Data is collected multiple times before the intervention to establish a baseline

-Data collected multiple times after to determine a change from baseline

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18
Q

Strengths of Quasi-Experimental Design

A

-Practical
-Less expensive
-Generalizable
-More adaptable to real-world settings
-Replication of study can strengthen evidence

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19
Q

Weaknesses of Quasi-Experimental Design

A

-Less control –> less confidence

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20
Q

EMIC View

A

-researches enters participants world
-view of the person experiencing phenomenon
-what is it like to experience phenomenon or to be a part of specific culture or group?

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21
Q

EMIC View elements

A

-recruit key informants
-use quotes
-Insiders perspective

22
Q

ETIC

A

researcher uses QUANtitative analyses of behavior

23
Q

Qualitative Research Methods

A

-Phenomenology
-Grounded theory
-Ethnography
-Community bases participatory research
-Case study

24
Q

Phenomenological Method

A

Learning and constructing the meaning of human experience through intensive dialogue with people who are living the experience

25
Grounded Theory
Discover emerging patterns in the data to arrive at a theory about basic social processes
26
Ethnographical method
Scientific description and interpretation of cultural or social groups and systems -Goal is to understand participant's views (emic view)
27
Community Bases Participatory Research
Accesses the voice of a community to plan context-appropriate action -Study participants - active and equal participants with researchers
28
Case Study Research
Focuses on a selected phenomenon over a period of time to provide IN-DEPTH description -Uses a specific case
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Mixed Methods Research
Uses descriptive data collected from interview to measure variables identified
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Meta-Summary
-Summary analysis of group of qualitative studies with thematic summaries or surveys data
31
Meta-Synthesis
Interpretive synthesis of a group of qualitative studies with description or explanatory data
32
Elements NOT FOUND in Qualitative Research
-No hypothesis -No dependent or independent variables -No large, random samples -No complex statistical procedures -No scaled measurement tools
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Rigor
Credibility: have the participants validated the themes Auditability: does the researcher document the research process Fittingness: are the results meaningful to nursing
34
Research Design
Is the plan or blueprint for conducting the study
35
Types of Quantitative Research Designs
-True Experimental (randomized controlled trial) -Quasi-experimental -Non-experimental
36
Extraneous Variables
-characteristics of the participants or conditions in the study that are not controlled -compete with the independent variables as an explanation for a study's outcome AKA: confounding, mediating, or intervening variables
37
Homogenous Sample
-Participants in study have similar extraneous variables -Limits generalizability but increases the potential application of the results to similar populations
38
Intervention Fidelity
Fidelity: trustworthiness or faithfulness -Researcher standardized the intervention and planned how to administer the intervention to each subject in the same manner under the same conditions.
39
Internal Validity
How well the study is conducted
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External Validity
How applicable the findings are to the real world
41
History
An event, other than the intervention, that might influence the dependent variable
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Maturation
Developmental, biological, or psychological processes that operate within an individual over time
43
Testing
Taking the same test more than once can influence the participant's responses the next time the test is taken
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Instrumentation
Changes in equipment used to make measurements or changes in observational techniques may cause measurements to vary
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Nonexperimental Designs
-Construct a picture of a phenomenon -Explore events, people, or situations as they naturally occur -Test relationships and differences among variables -Independent variable not manipulated -Subjects not randomized -No control group -Provides level IV evidence
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Relationship-Difference Studies
-Look at relationship differences among variables -Correlational studies -Developmental studies: cross sectional, prospective, retrospective
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Correlational Studies
-Examines the association between two or more variables -For exploring the relationship between variables that cannot be manipulated -Interested in quantifying the strength and the direction of the relationship
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Cross-Sectional Studies
-Examine data at one point in time -Explore relationships and correlations, or differences and comparisons, or both
49
Prospective Studies
AKA longitudinal or cohort studies -Collect data from same sample at different points in time -Explore relationships and correlations, or differences and comparisons or both -Each subject is followed up separately
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Retrospective Studies
AKA Ex Post Facto or Case Control -Look back in time -Attempt to link present events to events that have occurred in the past
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