Welcome to MD2C!
About MD2C – Data Analytics
MD2C offers Data Analytics and help with Quantitative Research. I like to help you to explore your data and craft models in order to make better business decisions.
Data Analytics
Examples of data analytics projects are:
- Predictive maintenance: predict whether a machine will break down;
- Predictive education: predict which student needs a little extra help to be successful;
- IoT in school: predict which room will be available to study;
- Predictive hiring: predict if a candidate will fit the job;
- Getting to know your customer: understand and use customer behavior patterns;
- Know your employees: profile classification to create powerful teams
Quantitative Research
I collaborated with many researcher and realized their quantitative research for their papers. Specialties:
- PLS-SEM
- CB-SEM
- Mediation, moderation and Conditional Process Analysis
To help other researchers, I developed PROCESS templates to graph conditional effects.
Clients
Current and past clients include:
Partners
Current and past partners include:
Keywords
Quantitative Research, Data Science, Business Intelligence, Descriptive and Predictive Analysis.
KVK: 55402542 (MD2C forms part of MD2 Consultancy)
MD2C has been founded by Marian Dragt. You can reach me by sending an email to info [at] md2c [dot] nl
PROCESS Graphing templates
As researcher, there is a big chance that you have to create graphs. I 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 my PROCESS Graphing templates.
The below templates are designed for Windows OS, but I have good news for Apple OS users: the templates are now also available for Excel on Mac!
I know that there are sometimes problems with the download link after your purchase. In case this happens, please feel free to contact me by sending an email to info [at] md2c [dot] nl and I will make sure you will get your template.
Available PROCESS Templates
Please find below the current available templates. If you have special requests, please reach out to me. I can’t guarantee you that I can graph every model, but I am willing to try!
Model 1
For model 1, I have 3 options, depending on your type of variables and how you want to graph the moderation effect:
- Graphing moderation (PROCESS v3.0) – Model 1 (IV on x-axis) (Windows version, with a dichotomous independent variable (X), a continuous moderator (W), and a continuous dependent variable (Y). Click here for the Mac version.
- Graphing moderation (PROCESS v3.0) – Model 1 (MOD on x-axis) (Windows version), with a dichotomous independent variable (X), a continuous moderator (W), and a continuous dependent variable (Y). Click here for the Mac version.
- Graphing moderation (PROCESS v3.0) – Model 1 (continuous IV) (Windows version), with a continous 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. Click here for the Mac version.
Model 3
Graphing moderated moderation (PROCESS v3.0) – Model 3 (Windows version), 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. Click here for the Mac version.
Model 7
For Model 7 I have 2 options:
Graphing moderated mediation (PROCESS v3) – Model 7 (Windows version), with a dichotomous independent variable (X), and a continuous moderator (W), mediator (M) and dependent variable (Y). Click here for the Mac version.
Graphing moderated mediation (PROCESS v3) – Model 7 (Windows version), with a continuous independent variable (X), and a continuous moderator (W), continuous mediator (M) and continuous dependent variable (Y). Click here for the Mac version.
Model 8
For model 8 I have 2 options, but I recommend you to update PROCESS to the latest edition.
Graphing moderated mediation (PROCESS v2.16) – Model 8 (Windows version), with a dichotomous independent variable (X), and a continuous moderator (W), mediator (M) and dependent variable (Y). As this is based on an earlier version of PROCESS, I am discontinuing the development of this template and recommend you to use V3.
Graphing moderated mediation (PROCESS v3) – Model 8 (Windows version), with a dichotomous independent variable (X), and a continuous moderator (W), mediator (M) and dependent variable (Y). Click here for the Mac version.
Model 14
Graphing moderated mediation (PROCESS v3.0) – Model 14 (Windows version), with a continuous independent variable (X) Dysfunctional Behavior, a continuous dependent variable (Y) Work Performance, a continuous mediator (M) Negative Affective Tone, and a continuous moderator (W) Nonverbal Negative Expressivity. Click here for the Mac version.
Graphing moderated mediation (PROCESS v3.0) – Model 14 (Windows version), with a dichotomous independent variable (X), a continuous dependent variable (Y), a continuous mediator (M), and a continuous moderator (W). Click here for the Mac version.
Model 15
Graphing moderated mediation (PROCESS v3.0) – Model 15 (Windows version) uses a continuous independent variable (X), a continuous dependent variable (Y), a continuous mediator (M) , and a continuous moderator (W).
PROCESS Blogs
For an example how to use one of theses templates, you are welcome to read my 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 moderation (PROCESS v3.0) …
Human Resources Analytics – Predict Employee Leave
Imagine you are an HR-Manager, and you would like to know which employees are likely to stay, and which might leave your company. Besides you would like to understand which factors contribute to leaving your company. You have gathered data in the past (well, in this case Kaggle simulated a dataset for you, but just …
Continue reading “Human Resources Analytics – Predict Employee Leave”
Graphing moderation of PROCESS v3.0 Model 1
This blog is about graphing moderation with the help of SPSS with the PROCESS macro, and our corresponding MD2C Graphing template for PROCESS v3.0 Model 1 – Moderation. The case that we used is based on the article of Chapman and Lickel (2016), and you can find a detailed elaboration of this case in Andrew …
Continue reading “Graphing moderation of PROCESS v3.0 Model 1”
Contact MD2C
Please feel free to contact me by sending an email to info [at] md2c [dot] nl