Free Videos, Calculators, Articles, Instructions, Datasets, etc.

**NOTE: This LibGuide links to many external sources and will be updated as more resources are identified. Please report any broken links to zmoore@fairmontstate.edu.**

**Page Info**

The top box on this page contains a series of resources to help you identify the appropriate statistical analyses to run, based on the types of variables that are measured or manipulated in your study. (For a review of variable identification, see the tab in this LibGuide).

The other content boxes on this page contain links to SPSS tutorials for running descriptive, correlational, and experimental analyses; as well as links to online statistical tables and calculators for small data sets.

- Interactive Flowchart for Choosing the Appropriate Test Follow this link to figure out an appropriate statistical test by answering a few questions about the variables.
- From identifying variables to choosing the appropriate test This link leads to a text-based site that will help tie variable identification (see previous libguide tab) with analysis selection (current tab).
- Examples of identifying variables and choosing the right test This link leads to a site that provides 5 examples where students assess similar problems with different types of variables and analyses.
- Interactive Examples for choosing the right test This link goes to a site allowing you to test your knowledge/skill with regard to statistical test selection.

**SPSS tutorials**

- Text-based instructions for running and interpreting (by worldsustainable.com)

**Online Calculators for Small Data Sets (pages include instructions)**

- Basic Calculators
- Basic Sample Statistics from vassarstats
- Extended Descriptives from calculatorsoup.com

- Advanced Calculator
- Basic and Advanced Descriptives from wessa.net (includes several calculators for univariate, bivariate, and multivariate descriptives)

- Basic Graph Makers
- Interactive Histogram Maker with activities
- Interactive Bar Chart Maker with activities

- Tables
- Interactive Z table and chart by David Lane
- Printable pdf Z-table
- Interactive Z vs T tables from tutor-homework.com

**Text-Based Tutorials - Note: these tutorials cover univariate analyses (one dependent variable)**

WHEN IV IS CATEGORICAL AND DV IS NUMERIC

- Comparing 1 group mean to a hypothesized/predicted mean
- One Sample t-test from statology.org
- One Sample t-test from ezspss.com

- Comparing 2 sets of scores from a repeated measure (single within IV)
- Paired Samples t-test from spss-tutorials.com
- Paired Samples t-test from worldsustainable.com

- Comparing 2 means from different groups of people (single between IV)
- Independent T-test from ezspss.com
- Independent T-test from statology.org

- Comparing 3+ groups of scores from a repeated measure (single within IV)
- One-way Repeated Measures ANOVA from ezspss.com
- One-way Repeated Meausres ANOVA from spss-tutorials.com

- Comparing 3+groups of scores from different groups of people (single between IV)
- One-way ANOVA from ezspss.com
- One-way ANOVA from spss-tutorials.com

- ADVANCED - Comparing 4+ groups defined by more than one IV (factorial - multiple IVs)
- Two-Way Between ANOVA from statology.org
- Two-Way Between ANOVA from spss-tutorials.com
- Two-Way Repeated-Measures ANOVA from spss-tutorials.com
- Two-Way Mixed ANOVA (video) from David Robinson

WHEN IV AND DV ARE BOTH CATEGORICAL

- Chi Square Test of Independence tutorial from spss-tutorials.com

**3-part video series to Run/Interpret Pearson Correlations in SPSS - **permission to link/embed for educational use provided by "Quantitative Specialists"

**ADVANCED - Text-base tutorial series for Regression in SPSS from spss-tutorials.com**

**Online Calculators for Small Data Sets**

- Basic Calculators
- Pearson R from socscistatistics.com
- Pearson R with Scatterplot from StatsCalculator.com
- Pearson's R with Descriptives from statisticslectures.com

- Advanced Calculators
- Pearson, Spearman, or Kendall Coefficients from gigacalculator.com
- Advanced Correlation/Regression from VassarStats

- Table
- Basic Table from real-statistics.com

**The linked sites contain instructions along with the Calculators (for small data sets) and tables**

- Calculators for all types of t-tests (single, dependent, and independent) from mathportal.org
- One-sample T-tests
- Single Sample t-Test (with descriptives) from VassarStats
- One Sample t-test (with decision) from StatsCalculator.com
- One-Sample t-test (with multiple data-entry options) from graphpad.com

- Two-sample T-tests
- Two-Sample t-Test for Independent or Correlated Samples ( includes descriptives) from VassarStats
- Independent t-test (with decision) from StatsCalculator.com
- Independent t-test from socscistatistics.com
- Paired t-test (with advanced options and output) from statskingdom.com
- Paired t-test from socscistatistics.com

- ANOVA (f-test) Calculators
- One-Way ANOVA for Independent or Correlated Samples from VassarStats
- One-Way ANOVA for Independent Samples from goodcalculators.com
- One-Way ANOVA for Independent Samples (with advanced options and output) from statskingdom.com
- Two-Way ANOVA for Independent Samples (includes descriptives and summary tables) from VassarStats
- Two-Way ANOVA for Independent Samples (with advanced options and output) from statskingdom.com
- Two-Way ANOVA (with multi-tabular graphical and text output) from datasciencegenie.com
- ADVANCED - Mixed ANOVA calculator from wessa.net

- Chi Square Calculators
- Chi Square Calculator with video Tutorial from ChiSquareTable.net
- Chi Square Calculator from gigacalculators.com
- Chi Square Goodness-of-fit test from VassarStats
- Contingency Table from VassarStats

- Critical Value Tables and Calculators
- T-table from t-tables.net
- Critical T calculator from CalculatorT.com
- Critical T calculator from statscalculator.com
- Interactive F-table from get-calc.com
- Critical Value Calculator for multiple tests from sociscistatistics.com
- Critical Value Calculator for multiple tests from calculators.tech

**This LibGuide is under construction and more resources will be added as they are identified.**