# SPSS Statistics Commonly Used Analyze Menus

The following table provides a list of some of the most commonly used procedures within the Analyze menu of IBM SPSS Statistics, which is an application that performs statistical analysis on data.

Submenu | Useful For . . . | |
---|---|---|

Code Book |
Reports | A quick look at all your variables at once. Level of measurement automatically controls which summary statistics are displayed. |

Frequencies |
Descriptives | Most useful for categorical variables. You can run all of them at once. Tells you how many of each category value you have. |

Descriptives |
Descriptives | Easy way to get basic scale variable info like mean and median. |

Explore |
Descriptives | Based on a famous book, Exploratory DataAnalysis . An effective way to look at all kinds ofvariables, as well as pairs of variables. |

Crosstabs |
Descriptives | A test to check to see if categorical variables are independent of each other or related to each other. |

Means |
Compare Means | Calculates subgroup means and related statistics for dependent variables within categories of one or more independent variables. |

One-Sample T-Test |
Compare Means | Tests whether the mean of a single variable differs from a specified value (for example a group using a new learning method compared to the school average). |

Independent Samples T-Test |
Compare Means | Tests whether the means for two groups differ on a continuous dependent variable (for example, females versus males on income). |

Paired Samples T-Test |
Compare Means | Tests whether there is a significant difference in the mean under two conditions (for example, before versus after, or standing versus sitting). |

One way ANOVA |
Compare Means | Tests whether the means for two or more groups differ on a continuous dependent variable (for example, drug1 versus drug2 versus drug3 on depression). |

Bivariate Correlation |
Correlate | Correlations determine the similarity or difference in the way two continuous variables change in value from one case (row) to another through the data. |

Linear Regression |
Regression | A statistical technique that is used to predict a continuous dependent variable from one or more continuous independent variables. |