Go from a variable list to a structured research diagram in seconds. Map predictors, outcomes, mediating paths, moderating conditions, and hypothesis labels into a model your committee can read at a glance.
Explore how common study designs translate into structured diagrams, then build one for your own research
A study-level variable map for information systems, edtech, or digital service adoption research.
An HR study model showing antecedents, a boundary condition, and performance as the outcome construct.
A multi-predictor marketing model with a satisfaction mediator and dual outcome constructs.
An input-process-output structure for education studies with mediation at the process stage.
A corporate sustainability model with two-stage mediation and an industry type moderator.
A behavior-intention framework extended with a health literacy antecedent and downstream health outcomes.
Start with one of these examples, then adapt the subject, labels, data, or layout for your own use.
A study-level variable map for information systems, edtech, or digital service adoption research.
Create a conceptual framework based on the Technology Acceptance Model. Show Perceived Usefulness and Perceived Ease of Use influencing Attitude, Behavioral Intention, and Actual System Use. Add hypothesis labels and clean academic formatting.
An HR study model showing antecedents, a boundary condition, and performance as the outcome construct.
Create a conceptual framework for employee performance research. Independent variables: Training and Development, Employee Motivation, Leadership Style. Moderator: Organizational Culture. Dependent variable: Employee Performance with productivity, quality, and engagement sub-dimensions.
A multi-predictor marketing model with a satisfaction mediator and dual outcome constructs.
Create a conceptual framework for consumer behavior research. Independent variables: Brand Image, Brand Trust, Perceived Quality, Price Perception. Mediator: Customer Satisfaction. Outcomes: Purchase Intention and Brand Loyalty. Add control variables for Age, Income, and Education.
An input-process-output structure for education studies with mediation at the process stage.
Create a conceptual framework for educational outcomes. Inputs: Teaching Methods and Student Characteristics. Mediators: Student Engagement and Learning Strategies. Outcomes: Academic Achievement, Skill Development, and Satisfaction. Show pathway arrows.
A conceptual framework turns your research question into a structured diagram. It maps what you expect to influence what, explains where mediators carry mechanisms, marks where moderators shift relationships, and identifies the outcomes you plan to measure. Reach for this generator when you have a literature-grounded hypothesis but need a reviewable figure for a proposal, thesis chapter, dissertation committee, journal submission, or supervisor walkthrough.
A conceptual framework belongs to your specific study. It may pull from several theories, prior findings, and constructs you define for this project. A theoretical framework is anchored more directly in one established theory and traces the intellectual lineage of your variables. If your supervisor wants a diagram that charts variables and hypotheses for your exact study, this generator fits. If they want a figure that grounds your variables inside a named theory such as TAM, TPB, or RBV, use the theoretical framework tool instead.
Limit the diagram to variables that appear in your literature review, data collection instrument, and analysis plan. Avoid adding constructs just to look comprehensive. Clear labels, consistent arrow styles, and a restrained color palette help reviewers trace your logic without confusion. For dense models, group variables by theoretical block or role so the overall structure remains navigable.
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