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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 Groups

  • 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 Groups

  • 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 Groups

  • 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 Group

  • 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 Group

  • 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 Group

  • 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 Group

  • 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 Group

  • Two Ages:

    • interval/ratio: Dependent Samples t

    • ordinal: Wilcoxon T


Type of design longitudinal1
Type of Design: Longitudinal Group

  • Three or More Ages:

    • interval/ratio: RM ANOVA

    • ordinal: Friedman