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Introduction to Statistical Analysis Using IBM SPSS Statistics (V21) (0G512G)

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Detaillierter Kursinhalt

Introduction to Statistical Analysis

  • Explain the basic steps of the research process
  • Explain differences between populations and samples
  • Explain differences between experimental and non-experimental research designs
  • Explain differences between independent and dependent variables

Understanding Data Distributions - Theory

  • Describe the levels of measurement used in IBM SPSS Statistics
  • Use measures of central tendency and dispersion
  • Use normal distributions and z-scores

Data Distributions for Categorical Variables

  • Use the options in the Frequencies procedure
  • Interpret the results of the Frequencies procedure

Data Distributions for Scale Variables

  • Use the options in the Frequencies, Descriptives, and Explore procedures
  • Interpret the results of the Frequencies, Descriptives, and Explore procedures

Making Inferences about Populations from Samples

  • Explain the influence of sample size
  • Explain the nature of probability
  • Explain hypothesis testing
  • Explain different types of statistical errors and power
  • Explain differences between statistical and practical importance

Relationships Between Categorical Variables

  • Use the options in the Crosstabs procedure
  • Request appropriate statistics for a crosstabulation
  • Interpret cell counts and percents in a crosstabulation
  • Use the Chi-Square test, interpret its results, and check its assumptions
  • Use the Chart Builder to visualize a crosstabulation
  • Use additional syntax-only Crosstabs features

The Independent- Samples T Test

  • Check the assumptions of the Independent-Samples T Test
  • Use the Independent-Samples T Test to test the difference in means
  • Know how to interpret the results of a Independent-Samples T Test
  • Use the Chart Builder to create an error bar graph to display mean differences

The Paired-Samples T Test

  • Use the Paired-Samples T Test procedure
  • Interpret the results of a Paired-Samples T Test

One-Way ANOVA

  • Use the options in the One-Way ANOVA procedure
  • Check the assumptions for One-Way ANOVA
  • Interpret the results of a One-Way ANOVA analysis
  • Use the Chart Builder to create an error bar to graph mean differences

Bivariate Plots and Correlations for Scale Variables

  • Visually assess the relationship between two scale variables with scatterplots, using the Chart Builder procedure
  • Explain the Pearson correlation coefficient and its assumptions
  • Interpret a Pearson correlation coefficient
  • Explain the options of the Bivariate Correlations procedure

Regression Analysis

  • Explain linear regression and its assumptions
  • Explain the options of the Linear Regression procedure
  • Interpret the results of the Linear Regression procedure
  • Use Automatic Linear Models to perform regression

Nonparametric Tests

  • Describe when non-parametric tests should and can be used
  • Describe the options in the Nonparametric Tests procedure dialog box and tabs
  • Interpret the results of several types of nonparametric tests