6.1 Nonexperimental Design Flashcards

1
Q

Non-Experimental Designs

A
  • Not amendable to experimental/quasi-experimental approaches

AIMS
- Explore events, people or situations as they occur
- Test relationships and differences among variables

  • Does not require randomization or intervention. Independent variables are naturally occurring and not manipulated.
  • Level 4 evidence
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2
Q

Words Related to Non-Experimental Designs

A

Exploratory
- Study simply seeks to learn more about the variable and their relationships

Observational
- Suggests there is no intervention.

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3
Q

Types of Non-Experimental Studies

A
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4
Q

Survey Studies

A

Descriptive
- Provides a picture of a situation that is naturally happening without manipulation (intervention) of any variables

Exploratory
- Used when little is known about a phenomenon

Comparative
- Compares 2+ groups of variables

  • Uses detailed descriptions and use of data to improve nursing practice

Variables include opinions, attitudes or facts (age)

  • DOES NOT DETERMINE CAUSATION

Advantage
- Collection of large amounts of data from large populations and is cost effective

Disadvantage
- Obtained data is superficial

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5
Q

Relationship/Difference Studies

A
  • Aims to assess relationships between variables.

Correlational Study
- Instead of testing causation, it tests whether a variable covary (as one variable changes does the other)
- Testing strength of relationships between variables

Developmental Study
- Utilizes “time perspective”
- Concerned about current relationships and changes as time passes

3 Types
- Cross-Sectional
- Cohort, Longitudinal, Prospective
- Case-Control, retrospective, ex post facto

Advantage
- Efficient and effective to collect large amounts of data that can serve as a foundation for future experimental studies.
- Offers a framework for exploring the relationships between variables that cannot be manipulated

Disadvantage
- Limitations due to variables not being manipulated
- Lack of generalizable studies
- Inability to determine casual relationships

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6
Q

Non-Experimental Studies

A
  • Does not explain cause-and-effect relationships
  • Data however can be used to predict how subjects respond to interventions
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7
Q

Methodological Research

A
  • Development and evaluation of data collecting instruments.
  • Is not interested in cause-effect relationships
  • Make a measurable instrument for intangible concepts.
  • “Psychometric Testing”
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8
Q

Secondary Analysis

A
  • A method (not design approach) where previously collected data is re-analyzed for a secondary purpose
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9
Q

Mixed Methods

A
  • Use both qualitative and quantitative approaches in a study
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