chapter 6 Flashcards

1
Q

mono-operation bias

A

when only one version of the treatment or program is used. if you use one version of a program in a single place at a single point in time, you may not capture the full breadth of the concept of your program.
solution: try to implement multiple versions of your program

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2
Q

mono-method bias

A

when you only use one measure of a construct.
solution: implement multiple measures of key constructs and demonstrate that the measures behave as theoretically expected.

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3
Q

interaction of different treatments

A

when you think what was implemented was the construct you had in mind, but that was not the case
solution: try to isolate effects of your program from effects of other treatments by using a control group.

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4
Q

interaction of testing and treatment

A

the label program includes testing (testing makes a group more receptive to treatment)
solution: randomly assign your participants in two groups and pretest one of them. if there’s differences in the outcome there’s an effect of pretesting.

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5
Q

restricted generalisability across constructs

A

when a treatment is only effective on the construct you measured. when you fail to anticipate that the treatment may have negative consequences or side effects on other outcomes
solution: anticipate the unintended and measure a broad range of potential outcomes.

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6
Q

confounding constructs

A

when the label is not a good description of what you implemented.
solution: if you find a treatment effect at a specific dosage, be sure to conduct subsequent studies that explore the range of effective dosages

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7
Q

social threats

A

threats related to social and human nature of research

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8
Q

hypothesis guessing

A

most people engage in hypothesis guessing when participating in a study. they try to determine the real purpose of the study and are likely to base their behaviour on what they guess, and not just your treatment.
solution: control it through research design. eg. have multiple program groups and give each a slightly different explanation. if they perform differently, it may be evidence that it influences results.

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9
Q

evaluation apprehension

A

influences the way participants behave in a study. eg. when people want to look good or smart, which can not be labeled as a treatment result.
solution: telling participants there are no right or wrong answers.

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10
Q

researcher expectancies

A

the researcher can bias the results of a study consciously or unconsciously. eg. the researcher can communicate what the desirable outcomes are to the participants.
solution: have multiple researchers who offer different characteristics, if resources allow.

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