MD2C

Data Science – Business Analytics – Research are the focus areas of MD2C. We can help you to explore your data and craft models in order to make better business decisions.

We also offer courses to become a data scientist yourself, in collaboration with DataChangers.

We have a special focus on facilitating academic research, and developed several templates to create graphs based on PROCESS outcome.

MD2C has been founded by Marian Dragt.

Current and past clients include:

• Microsoft
• Nyenrode Business Universiteit
• Van Campen Liem
• Breinwave
• Timing

We founded DataChangers because opportunities for data scientists—one of today’s hottest jobs—are rapidly growing in response to the exponential amounts of data being captured and analyzed. Companies hire data scientists to find insights and to solve meaningful business problems.

Therefore we founded DataChangers, so you can learn how to become a data scientist yourself!

All courses are Microsoft certified, and are available online. We offer all the Microsoft Professional Program tracks, which are created to help you gain technical job-ready skills and get real-world experience through online courses, hands-on labs, and expert instruction. Proving you have these skills can put you on the path to a rewarding career.

Change your world with DataChangers and start discovering the world of data! If you have any questions or want to keep informed about the courses, please let us know.

As researcher, there is a big chance that you have to create graphs. We decided to created some PROCESS Graphing templates to help you graph moderation, moderated mediation, etc., based on the output of the PROCESS macro from Andrew Hayes for SPSS.

This PROCESS macro from Andrew Hayes is very usefull to calculate conditional effects within SPSS. If you want to visualize these effects, you can use one of our PROCESS Graphing templates.

PROCESS Templates

Current available templates:

Graphing moderated mediation (PROCESS v2.16) – Model 8, with a dichotomous independent variable (X), and a continuous moderator (W), mediator (M) and dependent variable (Y).

Graphing moderated mediation (PROCESS v3) – Model 8, with a dichotomous independent variable (X), and a continuous moderator (W), mediator (M) and dependent variable (Y).

Graphing moderated moderation (PROCESS v3.0) – Model 3, with a continuous independent variable (X) Negative Emotions, a continuous dependent variable (Y) Support for Government Action, a categorical moderator (W) Sex, and a continuous moderator (Z) Age.

Graphing moderated mediation (PROCESS v3.0) – Model 14, with a continuous independent variable (X) Dysfunctional Behavior, a continuous dependent variable (Y) Work Performance, a continuous mediation (M) Negative Affective Tone, and a continuous moderator (W) Nonverbal Negative Expressivity.

• Graphing moderation (PROCESS v3.0) – Model 1 (IV on x-axis), with a continuous independent variable (X), a continuous dependent variable (Y), and a continuous moderator (W). As some of you requested, the IV is on the x-axis, and the moderator in the legend.

For model 1, we have 2 options, depending on how you want to graph the moderation effect:

• Graphing moderation (PROCESS v3.0) – Model 1 (IV on x-axis),  with a dichotomous independent variable (X), a continuous moderator (W), and a continuous dependent variable (Y).
• Graphing moderation (PROCESS v3.0) – Model 1 (MOD on x-axis),  with a dichotomous independent variable (X), a continuous moderator (W), and a continuous dependent variable (Y).

PROCESS Blogs

For an example how to use one of theses templates, you are welcome to read our blog about graphing a moderation model. You can find more blogs here.

Please feel free to contact us: