SPSS Stat tests & definitions Flashcards

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1
Q

p value (hypothesis tests)

A
  • used in null hypothesis rejection testing
    if p > 0.05, accept null hypothesis - results oppose research hypothesis enough to consider null hypothesis is correct
    if p < 0.05, reject null hypothesis (larger p value = more likely ‘significant’ results were cause by chance)
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2
Q

hypothesis tests:

A

t tests

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3
Q

parametric

A

means normally distributed data p < .01

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4
Q

Nominal data

A

Data represented in the form of categories

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5
Q

Ordinal data

A

Data is ordered in some way

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6
Q

Interval data

A

Based on numerical scales that include units of equal, precisely defined size

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7
Q

Statistical tests

A

Used in psychology to determine whether a significant difference or correlation exists

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8
Q

Levels of measurement

A

Quantitative data can be classified into types of levels as measurement, such as nominal, ordinal and interval

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9
Q

Chi-squared

A

A test for an association between 2 variables or conditions. Data should be nominal level using an unrelated (independent) design

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10
Q

Mann-Whitney U

A

A test for significant difference between 2 sets of scores. Data should be at least ordinal level using an unrelated design (independent groups)

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11
Q

Wilcoxon test

A

A test for a significant difference between 2 sets of scores. Data should be at least ordinal level using a related design (repeated measures) (equivalent of Mann Whitney for repeated)

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12
Q

Pearson’s correlation (r value)

A

A parametric test for correlation when data is at interval level

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13
Q

ratio data

A

Quantitative data version of interval data, set value between each, no smaller value than 0

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14
Q

Spearman’s correlation (r value)

A

version of Pearson’s test for data w more outliers

correlation coefficient

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