Introduction to Statistical Software

Lecture 7

Dave Brocker

Farmingdale State College

Statistical Software

Excel, R, SPSS, Jamovi, JASP – Oh My!

There are several tools you can use for statistical analyses.

  • PSY 360 (Research Methods) typically employs the use of both Excel and SPSS

  • I think the best approach is to use these options in addition to free software such as R.

Statistical Software

Excel, R, SPSS, Jamovi, JASP – Oh My!

  • R is available on all Operating Systems completely free of charge and can even be accessed through web browsers such as Safari, Chrome, or Mozilla Firefox.

    • As an added bonus, R is even accessible in this presentation! Press ~ to see

Statistical Software

Why should I care?

Your time is worth something and if I can show you a different way of approaching statistical questions that you might find easier—I will do whatever I can to do so!

  • Your future job might not have SPSS

  • You can learn programming syntax and troubleshoot in real-time

Statistical Software

Excel

We have used Microsoft Excel in this course to demonstrate core concepts such as finding the arithmetic average, standard deviation, measures of central tendency, and calculating z-scores.

  • Since statistical tests are mathematical at a base-level, (most) any test can be run in Excel that can be run elsewhere

Statistical Software

Excel

  • Excel has dedicated first-party addons such as Data Analysis Toolpak and third-party addons as well. The Data Analysis Toolpak can be used to run the following tests:

Statistical Software

Excel

Statistical Software

Excel

Statistical Software

Excel

Statistical Software

Excel

Whoa! Those are a lot of tests! Excel is an absolute powerhouse, but some of the tests and options are somewhat difficult to access and/or have a steep learning curve.

Statistical Software

SPSS

SPSS (Statistical Principles for Social Science) is used in a variety of disciplines and has options for the majority of tests that you will end up running in your academic career. SPSS also has a syntax editor which allows you to have more control over your data/tests/outputs.

Statistical Software

SPSS: Example

Let’s walk through an example in SPSS step-by-step.

  • Open up the dataset move_dat_reduced.csv from Brightspace

  • Double-click on IBM SPSS and wait for the file to open

SPSS: Example

Descriptive Statistics

SPSS does its best to analyze your data and assign data value types (continuous, nominal) as well as scales of measurement (nominal, ordinal, interval, ratio).

  • SPSS will only allow specific data types to be analyzed in specific ways

  • SPSS does not always ‘know’ what you are looking for, so you need to make sure your data is set up correctly!

SPSS: Example

Descriptive Statistics

SPSS has two views, Variable View and Data View

Variable View: Provides an overview of your variables.

  • What is the name?

  • What is the data type?

  • What is the range of values?

  • Are there any labels?

  • What is the Measure type?

SPSS: Example

Descriptive Statistics

SPSS has two views, Variable View and Data View

  • Data View: Provides a glimpse of your raw data

    • What is in the first column?

    • What is in the second column?

    • etc.

SPSS: Example

Descriptive Statistics

Descriptive Statistics describe the data, they give us an idea of where our data (likely) comes from, the measures of central tendency, and estimation about normality can be made.

  • Mean | Sum

  • Standard Deviation

  • Range

  • Mode

  • Kurtosis*

  • Skewness*

SPSS: Example

Frequency Statistics

Frequency Statistics give us an idea of the composition of our dataset and allow us to make estimations and guesses in relation to the normality of our data

  • Frequency of Responses (% or n)

  • Minimum Values

  • Max Values

  • Range

SPSS: Example

Descriptive and Frequency Statistics

In our dataset, we want to investigate the categorical composition of our data as well as the statistical makeup of our data.

For the dataset provided, find the descriptive Statistics and Frequency Statistics for each variable of the appropriate data type.