# Web Activities

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

From your chapter activities, you have data that can be entered into the calculator below. This calculator (which only requires the regression coefficient and SE) will provide estimates of the indirect effect as well as confidence intervals for the indirect effect.

#### Determine the 95% CI around the indirect effect

Go to this website: https://www.danielsoper.com/statcalc/calculator.aspx?id=88

Analyze your class data predicting that the influence of spirituality on green purchasing intentions is mediated by perceived consumer effectiveness using the above calculator. In order to determine the 95% CI around the indirect effect you will need to build two regression models:

XM

X and M → Y

From these two regression models you will need to record the regression coefficient and standard error for X (model 1) and M (model 2). Then plug that information into the calculator above.

#### Determine the 95% CI around the indirect effect

Go to this website: https://www.danielsoper.com/statcalc/calculator.aspx?id=88

Analyze your class data predicting that the influence of religiosity on mental health was fully mediated by spirituality using the above calculator. In order to determine the 95% CI around the indirect effect you will need to build two regression models:

XM

X and MY

From these two regression models you will need to record the regression coefficient and standard error for X (model 1) and M (model 2). Then plug that information into the calculator above.

#### Think of three simple questions that you can post on social media to a mediation model you believe to be true

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

Using the three answers you asked of your friends, analyze your data predicting that the influence of X on Y was fully mediated by M. In order to determine the 95% CI around the indirect effect you will need to build two regression models:

XM

X and MY

From these two regression models you will need to record the regression coefficient and standard error for X (model 1) and M (model 2). Then plug that information into the calculator above.