Research Methods at Staffordshire University | Flashcards & Summaries

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Lernmaterialien für Research methods an der Staffordshire University

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There is one difference to the parametric assumptions of a within subjects t test compared to a between subjects what is this
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Homogeneity of variance is NOT assumed 
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What test must be used if data is not normally distributed in a within subjects design 
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Wilcoxon signed rank test 
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How can we calculate outliers 
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Z scores 
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When reported a t test what letter do you place at the beginning of the statistical justification 
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t
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What does a one way anova allow us to do
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Allows us to use an independent variable with more than two levels 
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Pearsons r can be between...... ?
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● -1 (perfect negative correlation) 
● 1 (perfect positive correlation) 
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What is Nominal Data 
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Involves different categories, categories don't have any order.
I.E , ethnicity, gender, favourite colour 
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What is a null hypothesis 
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What do things look like if the research hypothesis is wrong I.e
Scored in condition a will be equal to those in condition b 
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What are the 4 parametric assumptions of a between subjects t-test 
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● Interval or ratio data 
● data are independently sampled 
● data are approximately normally distributed 
● homogeneity of variance 
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What test must be used in a Between subjects experiment if normal distribution nor homogeneity of variance is not met 
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Welch's t test 
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What is counterbalancing 
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A way to limit the effects of extraneous variables
such as testing of the participants in the morning and half in the afternoon etc. 
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What is a within subjects design 
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Same participants in each condition of the IV 
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Q:
There is one difference to the parametric assumptions of a within subjects t test compared to a between subjects what is this
A:
Homogeneity of variance is NOT assumed 
Q:
What test must be used if data is not normally distributed in a within subjects design 
A:
Wilcoxon signed rank test 
Q:
How can we calculate outliers 
A:
Z scores 
Q:
When reported a t test what letter do you place at the beginning of the statistical justification 
A:
t
Q:
What does a one way anova allow us to do
A:
Allows us to use an independent variable with more than two levels 
Mehr Karteikarten anzeigen
Q:
Pearsons r can be between...... ?
A:
● -1 (perfect negative correlation) 
● 1 (perfect positive correlation) 
Q:
What is Nominal Data 
A:
Involves different categories, categories don't have any order.
I.E , ethnicity, gender, favourite colour 
Q:
What is a null hypothesis 
A:
What do things look like if the research hypothesis is wrong I.e
Scored in condition a will be equal to those in condition b 
Q:
What are the 4 parametric assumptions of a between subjects t-test 
A:
● Interval or ratio data 
● data are independently sampled 
● data are approximately normally distributed 
● homogeneity of variance 
Q:
What test must be used in a Between subjects experiment if normal distribution nor homogeneity of variance is not met 
A:
Welch's t test 
Q:
What is counterbalancing 
A:
A way to limit the effects of extraneous variables
such as testing of the participants in the morning and half in the afternoon etc. 
Q:
What is a within subjects design 
A:
Same participants in each condition of the IV 
Research methods

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