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
Q

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

A

effectiveness studies