JASP Tutoring Online

Online JASP tutoring with My Engineering Buddy

A statistical results table is not a conclusion until you understand the research question, assumptions and uncertainty behind its numbers. My Engineering Buddy (MEB) offers paid, live, one-to-one JASP tutoring for students and researchers who use the software for descriptive analysis, classical hypothesis testing and Bayesian statistics. Tutors can guide you through data setup, analysis choices, effect sizes and interpretation using original example datasets. The goal is independent statistical understanding rather than producing assessed analyses or research reports for you.

Topics a JASP tutor can help you learn

Data exploration and preparation

• Variable types and measurement scales
• Descriptive statistics and distributions
• Missing data and unusual observations
• Exploratory plots and group comparisons
• Choosing relevant summaries before testing

Inferential methods

• t-tests and confidence intervals
• ANOVA and post-hoc concepts
• Correlation and linear regression
• Nonparametric test choices
• Bayesian tests and Bayes factor interpretation

Reporting and methodological judgment

• Effect sizes and practical significance
• Assumption checks and diagnostics
• Multiplicity and research design concerns
• Explaining evidence without overclaiming
• Reproducible analysis and result tables

Share the specific subject level, software version and learning outcomes you need. Tutor expertise and depth will depend on the question.

How one-to-one JASP tutoring works

A session might use a fictional classroom dataset comparing performance across two teaching approaches. Your tutor can ask whether the samples are independent, which variables are continuous and why an effect-size estimate may matter more than a binary significance label. You select an appropriate analysis, examine its assumptions and translate the resulting output into plain language. Later you might compare what a Bayes factor does and does not imply.

A technical distinction worth understanding

A p-value is not the probability that the null hypothesis is true, and a Bayes factor is not automatically a posterior probability. These quantities answer different statistical questions under different frameworks. A tutor can help you separate strength of evidence, effect magnitude and uncertainty so a statistically significant result is not automatically described as large or practically important.

Related tutoring and prerequisites

Statistical Software tutoring covers tool choice and analysis workflows. AMOS tutoring focuses on path diagrams and structural equation models; EViews tutoring often addresses econometric time-series analysis. Excel tutoring is useful for inspecting tabular data and formulas, while Statistics tutoring provides the probability and inference concepts required to understand any JASP output.

Getting started with paid tutoring

Tell MEB what you need to understand, what you have tried and which type of guided practice would help. Current pricing and introductory options appear elsewhere on this page. Tutors teach methods and offer feedback; you retain responsibility for assessed work and professional decisions.

Questions about JASP tutoring

Is JASP suitable for statistics beginners?

Yes. Its interface can support learning, but interpreting tests still requires statistical reasoning.

Can tutoring explain Bayes factors?

Yes. Practice can compare evidence under different models and clarify what the reported ratio means.

Can a tutor help me choose between t-tests and ANOVA?

Yes. The design, dependent variable and number of groups help determine a suitable method.

Will MEB produce my assessed JASP analysis?

No. Tutors guide independent analysis and interpretation while you complete your own work.