Deck 30: Broadening Your Research Horizons
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Deck 30: Broadening Your Research Horizons
1
When you do a three-way factorial ANOVA, which effects do you need to interpret?
A) Three main effects, three two-way interactions and a three-way interaction
B) Three main effects and a three-way interaction
C) Three main effects and three two-way interactions
D) A three-way interaction
A) Three main effects, three two-way interactions and a three-way interaction
B) Three main effects and a three-way interaction
C) Three main effects and three two-way interactions
D) A three-way interaction
A
2
When do you use a multiple analysis of variance (MANOVA)?
A) When you try to find out whether multiple levels of independent variables on their own or in combination with one another affect one dependent variable while controlling for confounding variables
B) When you compare means from more than two conditions while controlling for confounding variables
C) When you try to find out whether multiple levels of independent variables on their own or in combination with one another affect several dependent variables
D) When you try to find out whether multiple levels of independent variables on their own or in combination with one another affect one dependent variable
A) When you try to find out whether multiple levels of independent variables on their own or in combination with one another affect one dependent variable while controlling for confounding variables
B) When you compare means from more than two conditions while controlling for confounding variables
C) When you try to find out whether multiple levels of independent variables on their own or in combination with one another affect several dependent variables
D) When you try to find out whether multiple levels of independent variables on their own or in combination with one another affect one dependent variable
C
3
What is an advantage of using MANOVA?
A) It can be applied for any distribution.
B) It controls confounding variables.
C) It eliminates variation between the samples.
D) It detects relationships between multiple dependent variables.
A) It can be applied for any distribution.
B) It controls confounding variables.
C) It eliminates variation between the samples.
D) It detects relationships between multiple dependent variables.
D
4
How can you include categorical predictor variables with more than two levels in a regression analysis?
A) By using estimated marginal means
B) You cannot include categorical predictor variables with more than two levels in a regression analysis.
C) By dummy variable modelling
D) By using a non-parametric equivalent of a regression analysis
A) By using estimated marginal means
B) You cannot include categorical predictor variables with more than two levels in a regression analysis.
C) By dummy variable modelling
D) By using a non-parametric equivalent of a regression analysis
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5
How do you calculate interactive predictors in regression models?
A) (Binary variable * 1) * Continuous variable
B) (Binary variable + 1) * Continuous variable
C) Binary variable * Continuous variable
D) Binary variable * (Continuous variable + 1)
A) (Binary variable * 1) * Continuous variable
B) (Binary variable + 1) * Continuous variable
C) Binary variable * Continuous variable
D) Binary variable * (Continuous variable + 1)
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6
Imagine, you have an experiment where you want to see how accurately people from three age groups who listen to three types of music try to identify the emotion being expressed by that music. This would be 3x3 mixed design ANOVA. However, you want to also test whether these effects are also found in participant's reaction times to the stimuli. What kind of variable would that be?
A) Continuous variable
B) Ratio variable
C) Independent variable
D) Dependent variable
A) Continuous variable
B) Ratio variable
C) Independent variable
D) Dependent variable
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7
If you were to run a 2 * 3 * 4 mixed ANOVA, how many two-way interactions would you get from the analysis?
A) Four two-way interactions
B) Two two-way interactions
C) One two-way interaction
D) Three two-way interactions
A) Four two-way interactions
B) Two two-way interactions
C) One two-way interaction
D) Three two-way interactions
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8
What is the difference between MANOVA and ANOVA?
A) MANOVA is an ANOVA with more than three independent variables.
B) MANOVA is another name for a three-way ANOVA.
C) MANOVA has no independent variables but has more than one dependent variable.
D) MANOVA is an ANOVA with multiple dependent variables.
A) MANOVA is an ANOVA with more than three independent variables.
B) MANOVA is another name for a three-way ANOVA.
C) MANOVA has no independent variables but has more than one dependent variable.
D) MANOVA is an ANOVA with multiple dependent variables.
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9
What is an interactive predictor?
A) A predictor that represents the relationship between two outcome variables
B) A predictor that represents the relationship between two predictor variables
C) A predictor that represents the relationship between a predictor variable and an outcome variable
D) A predictor that represents the relationship between two outcome variables
A) A predictor that represents the relationship between two outcome variables
B) A predictor that represents the relationship between two predictor variables
C) A predictor that represents the relationship between a predictor variable and an outcome variable
D) A predictor that represents the relationship between two outcome variables
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10
You want to investigate how eating sweets influences your happiness. You have 3 groups of participants: eating chocolate, eating pure sugar, and eating ginger biscuits. Additionally, you want to see how amount of sweets (10g, 100g, 1kg) and gender (male, female) influences happiness. Which statistical test would be the most appropriate to investigate it?
A) Multiple regression
B) Factorial MANOVA
C) Two-way factorial ANOVA
D) Three-way factorial ANOVA
A) Multiple regression
B) Factorial MANOVA
C) Two-way factorial ANOVA
D) Three-way factorial ANOVA
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11
Which of the following is the most suitable form of data for conversation analysis?
A) Recordings of semi-structured interviews
B) Open questionnaire responses
C) Recordings of real-world social interactions
D) Participant diaries
A) Recordings of semi-structured interviews
B) Open questionnaire responses
C) Recordings of real-world social interactions
D) Participant diaries
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12
Which is not an example of a feature of speech examined in a conversation analysis?
A) Psychological motives
B) Membership categories
C) Turn-taking
D) Adjacency-pairs
A) Psychological motives
B) Membership categories
C) Turn-taking
D) Adjacency-pairs
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13
In narrative analysis, what does the coherence of a narrative refer to?
A) How long the participant's story is
B) Volume of speech
C) The tone of the participant's story
D) How clear the participant's story is
A) How long the participant's story is
B) Volume of speech
C) The tone of the participant's story
D) How clear the participant's story is
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14
In narrative analysis studies, which type of interviews focus upon participants' experiences with topics in the research?
A) Life history interviews
B) Episodic interviews
C) Structured interviews
D) Autobiographies
A) Life history interviews
B) Episodic interviews
C) Structured interviews
D) Autobiographies
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