P&B Chapter 10: Rigor and Validity in Quant. Research Flashcards

1
Q

Extent to which appropriate inferences can be made; how well a test measures what it is purported to measure

A

Validity

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2
Q

Reasons that an inference could be wrong

A

threats to validity

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3
Q

Validity of inferences that there truly is an empirical relationship, or correlation between the presumed cause and the effect

A

statistical conclusion validity

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4
Q

Validity that shows that it is the independent variable, rather than something else, that caused the outcome

A

internal validity

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5
Q

Validity that ensures that the measure is actually measuring what it is intended to measure, and not other variables of inferences; “from the observed persons, settings, and cause-and-effect operations included in the study to the constructs these these instances might represent; degree to which an intervention is a good representation of the underlying construct that was theorized as having the potential to cause beneficial outcomes

A

construct validity

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6
Q

Validity that concerns whether inferences and observed relationships will hold over variations in persons, setting, time or measures of the outcomes; generalizability of causal inferences

A

external validity

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7
Q

Involves using information about people’s characteristics to create comparable groups

A

Matching (also called pair matching)

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8
Q

Refers to the ability to detect true relationships among variables

A

Statistical power

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9
Q

Extent to which the implementation of an intervention is faithful to its plan

A

Intervention Fidelity (or treatment fidelity)

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10
Q

This threat to internal validity refers to proving that the cause proceeded the effect

A

Temporal ambiguity

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11
Q

This threat to internal validity concerns bias resulting from preexisting differences between groups. When participants aren’t randomly assigned to groups, the groups being compared could be non-equivalent. This can be reduced by collecting participant characteristics prior to the occurrence of the independent variable and then designing study around that

A

Selection bias

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12
Q

Threat to internal validity: The threat of _____ refers to the occurrence of external events that take place concurrently with the independent variable, and that can affect the outcomes

A

History

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13
Q

Threat to internal validity: Refers to processes occurring within participants during the course of the study as a result of the passage of time rather than as a result of the independent variable

A

Maturation

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14
Q

Threat to internal validity: Threat that arises from attrition (the ‘wearing away’ or progressive loss of data in research. Attrition occurs when cases are lost from a sample over time or over a series of sequential processes) in groups being compared

A

Mortality/attrition

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15
Q

Threat to internal validity: Effects of taking a pretest on people’s performance on a posttest (just the act of taking data from people changes them)

A

Testing

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16
Q

Threat to internal validity: bias that reflects changes in measuring instruments or methods of measurement between two points of data collection

A

instrumentation

17
Q

Threats to construct validity: participants may behave in a particular manner because they are aware of their role in a study

A

reactivity to the study situation (Hawthorne effect)

18
Q

Threats to construct validity: researchers influence on participant responses through subtle communication about desired outcomes

A

researcher expectancies

19
Q

Threats to construct validity: when a treatment is new, participants and research agents alike might alter their behavior

A

novelty effects

20
Q

Threats to construct validity: examples are compensatory equalization where health-care or staff members try to compensate for the control group members failure to receive a perceived beneficial treatment; compensatory rivalry where control group members have a desire to demonstrate that they can do as well as those receiving treatment

A

compensatory effects

21
Q

Threats to construct validity: when participants in control group receive similar services to those available in the treatment condition

A

treatment diffusion or contamination

22
Q

Threats to external validity: effect observed with certain types of people but not others

A

interaction between relationship and people

23
Q

Threats to external validity: innovative treatment might be effective because it is paired with other elements (ex. an enthusiastic and dedicated project director)

A

interaction between causal effects and treatment variation

24
Q

A solution to the conflict between external and internal validity is to use a phased series of studies: this first phase uses tight controls, strict intervention protocols, and stringent criteria for including people in the RCT

A

efficacy study

25
A solution to the conflict between external and internal validity is to use a phased series of studies: the second phase is used once the intervention has been deemed effective under tight conditions, it is then tested with larger samples in multiple sites under less restrictive conditions
effectiveness studies