Chapter Ten: Within-Subjects Design Flashcards

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1
Q

Attrition

A

The differential dropping out of participants from a study; also known as mortality

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2
Q

Baseline Measurement

A

The initial assessment of a participant at the onset of a study, prior to any intervention or treatment

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3
Q

Behavioural Diary

A

A self-report data collection strategy where individuals record their behaviours and associated feelings as they occur

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4
Q

Carryover effect

A

Exposure to earlier experimental conditions influencing responses to subsequent conditions

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5
Q

Counterbalancing

A

Identifying and using all potential treatment sequences in a within-subjects design

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6
Q

Dependent Means T-Test

A

A statistic used to determine if there is a statistically significant difference between two related sets of scores; also known as a dependent means t-test or a paired-samples t-test

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7
Q

Fatigue Effect

A

Deterioration in quality of measurements due to participants becoming tired, less attentive, or careless during the course of the study

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8
Q

History

A

A threat to the internal validity of a study due to an external event potentially influencing participants’ behaviour during the study

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9
Q

Instrumentation Problem

A

In terms of threats to internal validity, a change in how a variable is measured or administered during the course of a study

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10
Q

Latin Square Design

A

A counterbalancing strategy where each experimental condition appears at every position in the sequence order equally often

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11
Q

Maturation

A

A threat to the internal validity of a study stemming from either long-term or short-term physiological changes occurring naturally within the participants that may influence the dependent variable

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12
Q

Order Effect

A

A threat to the internal validity in a within-subjects design resulting from influence that the sequence of experimental conditions can have on the dependent variable

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13
Q

Practice Effect

A

Changes in a participant’s responses or behaviour due to increased experience with the measurement instrument, not the variable under investigation

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14
Q

Pretest-Posttest Design

A

A within-subjects design where participants are measured before and after exposure to a treatment or intervention

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15
Q

Repeated-Measures Analysis of Variance (Repeated-Measures ANOVA)

A

A statistic used to test a hypothesis from a within-subjects design with three or more conditions

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16
Q

Repeated-Measures Design

A

A within-subjects design where participants are exposed to each level of the independent variable and are measured on the dependent variable after each level; unlike the pretest-posttest design, there is no baseline measurement

17
Q

Research Participant Pool

A

A list of students maintained by a psychology department who will receive credit in their psychology class if they participate in a research study

18
Q

Sensitization Effect

A

Continued exposure to experimental conditions in a within-subjects study increasing the likelihood of hypothesis-guessing, potentially influencing participants’ responses in later experimental conditions

19
Q

Testing Effect

A

A threat to the internal validity of a study where participants’ scores may change on subsequent measurements simply because of their increased familiarity with the instrument