Chapter 12

  1. degrees of freedom
    • subtracting a number (usually 1 or 2) from a sample (N or n), a group (K), a row (R), a column (C), or other subset designation.
    • N-1.
    • free to vary.
  2. nonparametric
    statistical procedures used with variables measured at the nominal or ordinal level -- “distribution-free”
  3. parametric
    statistical procedures appropriate for variables measured at the interval or ratio level -- assume normality
  4. Chi-square statistic (crosstabs) (Contingency table)
    • Extension of the goodness of fit test - can measure 2+ variables simultaneously;
    • a measurement of observed versus expected frequencies and outcomes
  5. statistically significant
    if the chi-square value equals or exceeds the value in the table based on df and probability, then the differences in observed frequencies are __________ at that alpha level
  6. t-test
    • most elementary method of comparing two groups' mean scores
    • variations include: testing independent groups, related groups, and cases in which the population mean is known/unknown
    • assumes normal distribution and homogeneity of variance
  7. linear regression
    numerical expressions of the degree to which two variables change in relation to each other
  8. Pearson r
    • 1) An estimate of the strength of the relationship, as indicated by the number;
    • 2) A statement about the direction of the relationship, as shown by the + or - sign;
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Chapter 12
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research methods exam 3 lydia fielder
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