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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TESTE DEIN WISSEN
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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TESTE DEIN WISSEN
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
Lösung ausblenden
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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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## Beispielhafte Karteikarten für deinen Research methods Kurs an der Staffordshire University - von Kommilitonen auf StudySmarter erstellt!

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
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

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