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27 Cards in this Set
- Front
- Back
Descriptive statistics
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Study a group as a whole and not individually also calculate values that describe the sample
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Central tendency
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Mean median and mode
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Variability
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Necessary in addition to central tendency, how spread out the scores are
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Types of variability
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Range and standard deviation
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Bar graphs and histograms
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Different categories as well as qualitatively different
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Line graph
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Quantitative differences in categories and connected increases etc
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Scatter plot
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Plotting individual data points. meaningful pairing of two different continuous measurements
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Inferential statistics
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Inferences made from data, guidelines include identifying the experimental design, between or within, and identifying the scale of measurement involved, noir
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Interval / ratio scales
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T tests, ANOVAs, correlations, regressions. What are you trying to show, differences: t test and a Nova's, relationships
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Ordinal scale
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Nonparametric tests, differences including between studies and within studies , relationships
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Mann Whitney U test
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Ordinal scale between subjects test between two groups
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KRuskal Wallis H test
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Ordinal scales between subjects tests between more than two groups
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Wilcoxon signed ranks test
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Two conditions, within subjects, ordinal scale
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Friedman t-test
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Ordinal scale, within subjects, two or more conditions
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Ordinal scale relationship test
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Spearman rank - order correlation
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Nominal scale
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Can only count things up, due to variables interact? Looks at observed frequencies , expected frequencies. Chi square compares observed frequencies to expected frequencies
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Chi square
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Compares observed frequencies to expected frequencies on a nominal scale
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What statistical test should you use when predicting weight from height
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Regression
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Statistical test used to determine if GPS change when people change majors
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Paired samples t test
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Statistical tests to determine political affiliation and voter registration
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Chi square
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Test comparing salaries of people in education business or government
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One-way ANOVA
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Testing differences between old people and young people on life satisfaction scale
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Mann Whitney U test and or independent samples t test
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Lab based data collection
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Physical presence of participants, flexibility and stimulus presentation and type of measurement
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Field based data collection
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Real world representation, external validity, also includes extraneous factors and confounds
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Lab based research options
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Internet, Amazon Mechanical Turk
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Non-experimental
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A type of experiments is that cannot determine cause and effect , racks true IV manipulation does not attempt to control variables
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Quasi experiment
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Attempt to control variables does not manipulate The IV
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