Research
Research Engineer will help you make the correct decisions for your research
Research Engineer is an automated decision tree focused on helping researchers make the correct decisions when conducting research and analyzing data with statistics.
There are decision trees available in Research Engineer that can help researchers write research questions, choose research designs, understand statistical power, conduct sample size calculations, use evidence-based medicine principles, calculate diagnostic testing and epidemiological calculations, select precise and accurate variables, create and maintain research databases, create reliable valid survey instruments, and perform psychometrics.
Within each decision tree, you will be presented with a series of questions. You can click on the buttons and links that best represents your answers to the questions. This allows you to move forward in the decision tree and to make the correct choices based on your research questions.
Click on a button below to get started!
There are decision trees available in Research Engineer that can help researchers write research questions, choose research designs, understand statistical power, conduct sample size calculations, use evidence-based medicine principles, calculate diagnostic testing and epidemiological calculations, select precise and accurate variables, create and maintain research databases, create reliable valid survey instruments, and perform psychometrics.
Within each decision tree, you will be presented with a series of questions. You can click on the buttons and links that best represents your answers to the questions. This allows you to move forward in the decision tree and to make the correct choices based on your research questions.
Click on a button below to get started!
Decision trees in Research Engineer
Formulate and refine your research question using the FINER and PICO frameworks.
Choose the correct research design to answer your research question.
Understand the implications of effect size, sample size, measurement, variance, and research design on statistical power.
Calculate the needed sample size for ten different statistical tests using G*Power.
Apply the five components of evidence-based medicine: Asking, acquiring, appraising, applying, and assessing.
Calculate diagnostic testing measures like sensitivity, specificity, positive predictive value (PPV), and negative predictive value (NPV).
Apply epidemiological calculations like odds ratios, relative risk, number needed to treat (NNT), and number needed to harm (NNH).
Learn more about the scales of measurement, different types of variables, and the impact of measurement on statistical power.
Choose the correct statistics to answer research questions and learn how to conduct and interpret statistics in SPSS.
Download databases that are formatted for between-subjects, within-subjects, mixed-effects, survival, and multivariate designs.
Create a new survey instrument using an empirically validated methodology.
Choose the correct psychometrics to answer research questions and learn how to conduct and interpret psychometrics in SPSS and AMOS.
Statistician For Hire
DO YOU NEED TO HIRE A STATISTICIAN?
Eric Heidel, Ph.D. will provide statistical consulting for your research study at $100/hour. Secure checkout is available with PayPal, Stripe, Venmo, and Zelle.
- Statistical Analysis
- Sample Size Calculations
- Diagnostic Testing and Epidemiological Calculations
- Psychometrics
