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Introduction to Statistical Analysis Using IBM SPSS Statistics (V23) (0G514G)

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Detailed Course Outline

Introduction to Statistical Analysis

  • Explain the difference between a sample and a population
  • Explain the difference between an experimental research design and a non-experimental research design
  • Explain the difference between independent and dependent variables

Examine Individual Variables

  • Describe the levels of measurement used in IBM SPSS Statistics
  • Use graphs to examine variables
  • Use summary measures to examine variables
  • Explain normal distributions
  • Explain standardized scores and their use

Test Hypotheses-Theory

  • Explain the difference between a sample and a population
  • Design a test of a hypothesis
  • Explain the alpha level
  • Explain the difference between statistical and practical significance
  • Describe the two types of errors in testing a hypothesis

Test Hypotheses about Individual Variables

  • Explain the sampling distribution of a statistic
  • Explain the difference between the standard deviation and the standard error
  • Use the One-Sample T Test to test a hypothesis about a population mean
  • Use the Paired-Samples T Test to test on an ""before-after treatment"" effect
  • Use the Binomial Test to test a hypothesis about a population proportion

Test the Relationship between Categorical Variables

  • Use the Chart Builder to visualize the relationship between two categorical variables
  • Use percentages in Crosstabs to describe the relationship between two categorical variables
  • Use the Chi-Square test in Crosstabs to test the relationship between two categorical variables

Test the Difference between the Means of Two Groups

  • Use the Chart Builder to create an error bar and boxplot to visualize the difference between groups
  • Use Explore and Means to describe the differences between groups
  • Use the Independent-Samples T Test to test whether the difference between two group means is statistically significant

Test the Differences between More than Two Group Means

  • Use One-Way ANOVA to determine whether there are statistically significant differences between means of three or more groups
  • Use post hoc tests to identify differences between group means

Test the Relationship between Scale Variables

  • Use the Chart Builder to create a scatterplot to assess the relationship between two scale variables
  • Explain when the correlation can be used
  • Perform a hypothesis test on the correlation

Predict a Scale Variable

  • Use Regression to predict a scale variable with one or more scale variables
  • Use Automatic Linear Modeling to predict a scale variable with categorical and scale variables

Use Nonparametric Tests

  • Describe when Nonparametric Tests should and can be used
  • Use Nonparametric Tests for two or more independent samples
  • Use Nonparametric Tests for two dependent samples