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A SYSTEM FOR CHOOSING STATISTICS. What type of design do you have? What do you want to find out? What type of data do you have? . Type of Design: Descriptive. What is a typical score? interval/ratio, no outliers: mean ordinal or higher: median nominal: mode

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a system for choosing statistics
A SYSTEM FOR CHOOSING STATISTICS
  • What type of design do you have?
  • What do you want to find out?
  • What type of data do you have?
type of design descriptive
Type of Design: Descriptive
  • What is a typical score?
    • interval/ratio, no outliers: mean
    • ordinal or higher: median
    • nominal: mode
  • How spread out are the scores?
    • interval/ratio: standard deviation
type of design correlational
Type of Design: Correlational
  • interval/ratio: Pearson r w/ test of sig.
  • ordinal: Spearman rho w/ test of sig.
  • dichotomous: Phi w/ test of sig.
  • interval/ratio & dichotomous: point biserial w/ test of sig.
type of design experimental between subjects
Type of Design: Experimental, Between Subjects
  • Two Groups:
    • interval/ratio: Independent Samples t
    • ordinal: Wilcoxon Rank-Sum
    • nominal: Chi-Square Goodness of Fit
type of design experimental between subjects1
Type of Design: Experimental, Between Subjects
  • Three or More Groups:
    • interval/ratio: One-Way BS ANOVA
    • ordinal: Kruskal-Wallis ANOVA
    • nominal: Chi-Square Goodness of Fit
type of design experimental within subjects or matched groups
Type of Design: Experimental, Within Subjects or Matched Groups
  • Two Conditions:
    • interval/ratio: Dependent Samples t
    • ordinal: Wilcoxon T
type of design experimental within subjects or matched groups1
Type of Design: Experimental, Within Subjects or Matched Groups
  • Three or More Conditions:
    • interval/ratio: RM ANOVA
    • ordinal: Friedman
type of design factorial two independent variables
Type of Design: Factorial, Two Independent Variables
  • Between Subjects:
    • interval/ratio: Two-Way BS ANOVA
    • ordinal: separate Kruskal-Wallis ANOVAs
    • nominal: Chi-Square Test of Independence
type of design factorial two independent variables1
Type of Design: Factorial, Two Independent Variables
  • Within Subjects:
    • interval/ratio: Two-Way RM ANOVA
    • ordinal: separate Friedman tests
type of design factorial two independent variables2
Type of Design: Factorial, Two Independent Variables
  • Mixed:
    • interval/ratio: Mixed ANOVA
    • ordinal: separate Kruskal-Wallis ANOVAs
type of design ex post facto or non equivalent control group
Type of Design: Ex Post Facto or Non-Equivalent Control Group
  • Two Groups:
    • interval/ratio: Independent Samples t
    • ordinal: Wilcoxon Rank-Sum
    • nominal: Chi-Square Goodness of Fit
type of design ex post facto or non equivalent control group1
Type of Design: Ex Post Facto or Non-Equivalent Control Group
  • Three or More Groups:
    • interval/ratio: One-Way BS ANOVA
    • ordinal: Kruskal-Wallis ANOVA
    • nominal: Chi-Square Goodness of Fit
type of design interrupted time series
Type of Design: Interrupted Time Series
  • interval/ratio: One-Way RM ANOVA
  • ordinal: Friedman
  • nominal: Chi-Square Goodness of Fit
type of design multiple time series
Type of Design: Multiple Time Series
  • interval/ratio: Mixed ANOVA
  • ordinal: separate Kruskal-Wallis ANOVAs
  • nominal: separate Chi-Square Goodness of Fit tests
type of design cross sectional
Type of Design: Cross-Sectional
  • Two Age Groups:
    • interval/ratio: Independent Samples t
    • ordinal: Wilcoxon Rank-Sum
    • nominal: Chi-Square Goodness of Fit
type of design cross sectional1
Type of Design: Cross-Sectional
  • Three or More Age Groups:
    • interval/ratio: One-Way BS ANOVA
    • ordinal: Kruskal-Wallis ANOVA
    • nominal: Chi-Square Goodness of Fit
type of design longitudinal
Type of Design: Longitudinal
  • Two Ages:
    • interval/ratio: Dependent Samples t
    • ordinal: Wilcoxon T
type of design longitudinal1
Type of Design: Longitudinal
  • Three or More Ages:
    • interval/ratio: RM ANOVA
    • ordinal: Friedman
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