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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 encourage entrepreneurship and therefore we have special prices for start-ups, so please feel free to contact us.

DataChangers – Change Your World With Data

DataChangers Microsoft Data Science TrackWe 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.

PROCESS Graphing templates

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:

PRODUCT V216 Model 8 Moderated mediation (dich IV - cont W - cont Y)
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).

PRODUCT V3 Model 8 Graphing moderated mediation (dich IV - cont W - cont M - cont 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).

PRODUCT V3 Model 3 Moderated moderation

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.

PRODUCT V3 Model 14 Graphing moderated mediation

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.

PRODUCT V3 Model 1 Moderation (cont IV on x-axis - cont W in legend)

PRODUCT V3 Model 1 Moderation (dich IV in legend - cont W on x-axis)

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

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.

Blog

FAQ PROCESS – Frequently Asked Questions

Frequently Asked Questions about how to use the PROCESS templates You can use the PROCESS macro from Andrew Hayes to calculate conditional effects within SPSS. If you want to visualize these effects, you can use one of our Excel templates, which are based on the SPSS output. Current available PROCESS templates Graphing moderated mediation (PROCESS …

Human Resources Analytics – Predict Employee Leave

Predict Employee Leave In this tutorial, you will learn how to employ a simulated dataset from Kaggle to build a machine learning model to both predict and explain whether employees will leave their employer or not and the reason(s) why they may do so. The data comprise a wide range of topics which allow to …

Meetup Instruction Guide Build your Bot

Build your Bot Workshop Setup and Instruction Guide to Build your Bot In most of our Microsoft Data Science meetup, hosted by i.e. Infi, InSpark, Winvision, Macaw, among others, we organize workshops. This time you will learn how to build your bot with the Cognitive Services of Microsoft. In this workshop you wil build a …