Web Activities

Click on the following links. Please note these will open in a new window.

Conduct a one-way within-subjects ANOVA

Go to this website: http://www.socscistatistics.com/tests/anovarepeated/Default.aspx

Have the students report how messy (0 = not at all messy; 10 = extremely messy) they are in three different locations: their bedroom, their bathroom, and their kitchen area. You may need to confirm the students understand that this is a one-way within-subjects ANOVA with three levels of the independent variable.

Next, have the students enter the class data into the above calculator and determine conduct a one-way, or one-factor ANOVA test for repeated-measures.

Conduct a one-way within-subjects ANOVA

Go to this website: http://www.socscistatistics.com/tests/anova/Default2.aspx

Have the students report has risk avoidant (0 = avoiding any risk; 10 = living dangerously) they are in three different domains of their life: in relationships, at work or school, and when making financial decisions.

Next, have the students enter the class data into the above calculator and determine conduct a one-way, or one-factor ANOVA test for repeated-measures.

Think of a simple question that you can post on social media to determine how much categorical information explains an outcome you are interested in measuring

Go to this website: http://www.socscistatistics.com/tests/anova/Default2.aspx

Think about a simple question you could ask your friends through social media. Before you ask the question, you will need to think of three questions that can be compared on the same metric. In my experience people are best at estimating how much time (in minutes) and money (in dollars) they do are would like to spend engaged in different activities. Be sure to ask three questions that can be measured and quantified (e.g., you can compute the mean for both questions) and that the response options are on the same metric. Then, post you question online. Using the data your friends report, use the calculator above to conduct a one-way, or one-factor ANOVA test for repeated-measures.