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T-tests Pearsons correlation ANOVA Regression |
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Chi Square Man-Whitney U Wilcoxon test Kruskall Wallis test Friedman test |
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Stages in scientific research |
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1) Theory 2) Hypothesis 3) Research Design 4) Data 5) Descriptive/Inferential statistics |
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Types of experimental design |
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Independent groups Repeated measures Matched pairs |
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Independent groups Repeated measures Counterbalancing Matched pairs |
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Participants less likely to work out aim of study. Need more participants. Not as much control of confounding variables. |
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Fewer participants More control of confounding variables More likely to guess aim |
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Counterbalancing (assigning order to groups) |
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Matched pairs (each member of pairs to separate groups) |
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Levels of measurement (differ in terms of magnitude, absolute zero and equal intervals) |
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Nominal = categorical data Ordinal = categorical data Interval = continuous data Ratio = continuous data |
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Mutually exclusive categories No magnitude (Male/female) |
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Ranking in order of magnitude Interval between units not always equal (8th/bronze, silver, gold) |
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Has magnitude No absolute zero (temperature/ date) |
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Highest level of measurement magnitude, equal interval and absolute zero (weight/height/number of books) |
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Look at relationship between 2 variables |
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Predict one variable from another |
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Correlation: Are 2 variables related? |
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Does one increase as the other increases? Does one decrease as the other increases? |
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Correlation: How can we get a numerical measure of the degree of relationship? |
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Correlation: relationship between variable Correlation Co-efficient: a measure of the relationship between variables |
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Measure of strength of relationships, (either spearmans or pearsons) -1 and +1 (0=no correlation) |
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R=top number on left sig= middle on left |
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