Research Design Flashcards

1
Q

Mediating Variable

A

Responsible for the relationship between variables

IV affects the mediator, then mediator affects dv

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2
Q

Moderating Variable

A

Affects the direction and strength of the relationship between the IV and DV

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3
Q

Quasi-Experimental vs True Experimental research

A

True experiment = random assignment

Quasi-experiment = pre-existing groups or single group *NO CONTROL of assignment of subjects

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4
Q

Simple Random Sampling

A

Every member of population has equal chance of being selected (random)

Selection of one member has no effect on selection of another member of the population

Reduces bias

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5
Q

Stratified Random Sampling

A

Population varies in terms of the characteristics
(E.g. gender, age, education level, SES etc.)

Divide population and randomly sample each statrum

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6
Q

Cluster Sampling

A

Sample from clusters of individuals when unable to access to entire population of interest

E.g., random selection of patients from 10 inpatient programs

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7
Q

Confounding Variable

A

Extraneous/irrelevant variable that introduces Systematic error

Threatens internal validity of research design

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8
Q

Ways to Limit the Effects of Confounds

A

Random assignment

Hold extraneous variable constant

Match subjects on extraneous variable

Include extraneous variable as additional IP (blocking)

Statistical control via ANCOVA

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9
Q

Systematic vs. Random Error

A

Systematic = confounding variable

Random error = unpredictable fluctuations in subjects/condition/measuring instruments

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10
Q

Internal and External Validity

Research, not psychometrics

A

Internal Validity = there is a causal relationship between IV and DVs

External Validity = the causal relationship generalizes to other people, settings, times, and operations

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11
Q

Threats To Internal Validity: Extraneous Variables

A

Maturation (examinee)

History (external events)

Testing / Practice effects

Instrumentation

Regression toward the mean

Selection (assignment)

Attrition

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12
Q

***Threats To External Validity

A

Testing / Treatment Interaction

Selection / Treatment Interaction

Reactivity

Multiple Treatment Interference (carryover effects)

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13
Q

Reactivity: Evaluation Apprehension

A

Subject changes their behavior in order to avoid negative evaluation

[Threat To EXTERNAL Validity]

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14
Q

Reactivity: Demand Characteristics

A

Cues in experimental setting that:

  • Inform subjects of the purpose of the study
  • Suggest what behaviors are expected

[Threat To EXTERNAL Validity]

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15
Q

Reactivity: Experimenter Expectancies

A

Experimenter unintentionally provides subjects with cues (demand characteristics)

Experimenter behavior that leads to biased results

[Threat To EXTERNAL Validity]

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16
Q

Ways to Limit Effects of Reactivity

A

Deception

Single-or Double-blind technique

Unobtrusive measures

17
Q

Multiple Treatment Interference:

Carryover Effects

A

When different levels of IV affect one another

Order effects

Practice effects

[Threat To EXTERNAL Validity]

18
Q

Between-Group Designs

A

Different levels of IV administered to a different group or subject

Simplest: one IV with two levels and two groups

19
Q

Between-Groups: Factorial design

A

2+ IV’s

Allows for analysis of Main effects and Interaction Effects

e.g. two-way ANOVA, three-way ANOVA

20
Q

Between-Groups: Main Effect

A

Effect of one IV on the dv

*disregards effects of all other IV’s

21
Q

Between-Groups: Interaction

A

Interaction occurs when the effects of an IV differ at different levels of another IV

e. g. effects of intervention levels differ for different sx severity levels
* When there is an interaction, main effects must be interpreted in light of interaction

22
Q

Within-Subjects Designs (Repeated Measures)

A

All levels of the IV are administered sequentially to all subjects

Disadvantages:

  • carryover effects
  • pre/post test autocorrelation confound
23
Q

Mixed Designs

A

Combines between-groups and within-subject designs

Requires at least one between-groups IV and
one-within subjects IV

24
Q

Single-Subject Design

A

Includes at least one baseline phase and one treatment phase

Subject acts as their own no-treatment control

DV is measured repeatedly at regular intervals throughout baseline and treatment phases

25
Q

Single-Subject: AB Design

A

Single baseline phase (A)

Single treatment phase (B)

*multiple dv measurements in each phase

26
Q

Single-Subject: Reversal Designs (ABA, ABAB…)

A

Withdrawal of treatment during second and subsequent baseline phases

Advantage: controls for history, maturation and other threats to internal validity

27
Q

Single-Subject: Multiple Baseline Design

A

Used when reversal design is is inappropriate for ethical or practical reasons (e.g withdrawing useful tx)

IV sequentially applied to the same subject to create multiple baselines (IV is never withdrawn)

E.g. sequentially measuring different behaviors/ settings / tasks

28
Q

Interrupted Time Series Design

A

One Group

DV measured at regular intervals before and after tx

dv NOT measured during tx

29
Q

Single-Subject Reversal Designs (ABA, ABAB…):

DV baseline levels

A

DV returns to original baseline level following a treatment phase

= Evidence that IV is having a true effect

30
Q

Solomon four-group design

A

Evaluates effects of pretest on internal and external validity

Treats pretest as IV