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Academic & Research

假设生成器

制定可测试的研究假设,包括自变量和因变量、预测关系以及零假设替代方案。

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Hypothesis Generator creates well-formulated null, alternative, directional, and non-directional hypotheses for any research topic. Get hypotheses with identified independent and dependent variables, theoretical frameworks, testability assessments, and suggested statistical tests — moving your research from question to testable prediction.

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Expect rigorous, citation-ready prose with counterarguments acknowledged.

如何使用 假设生成器

  1. Describe the research topic and the relationship you suspect exists between variables.
  2. List any variables you've already identified — or leave it for the AI to suggest them.
  3. Select the hypothesis type that matches your research design.
  4. Choose 3-5 pairs to explore different angles on your research topic.
  5. Add a theoretical framework if you have one — it strengthens the hypothesis justification.

使用案例

1

Develop hypotheses for a thesis or dissertation research proposal

2

Generate null and alternative hypothesis pairs for statistical testing

3

Explore multiple testable predictions before committing to a study design

4

Create hypotheses for a grant proposal's research design section

最佳结果的技巧

  • Always generate both null and alternative hypotheses — you need both for proper statistical testing.
  • The theoretical justification is what reviewers and committees care about most — ensure it's grounded in established theory.
  • Use the suggested statistical test to plan your analysis before collecting data.
  • If you can't operationalize (measure) a variable, the hypothesis isn't testable yet — refine it.
  • Run the tool with 5 pairs, then narrow down to the 1-2 most feasible and original hypotheses.

常见问题

What's the difference between null and alternative hypotheses?

The null hypothesis (H0) states there is NO significant effect or relationship. The alternative hypothesis (H1) states there IS a significant effect. You test the null and either reject it (supporting H1) or fail to reject it. Both must be stated.

Should I use directional or non-directional hypotheses?

Use directional (one-tailed) when theory or prior research suggests a specific direction of the effect (X increases Y). Use non-directional (two-tailed) when you expect a relationship but aren't sure of the direction. Non-directional is more conservative.

How many hypotheses should my study have?

Most studies have 1-3 main hypotheses. Each hypothesis should map to a specific research question. Too many hypotheses increases the risk of Type I errors and makes the study unfocused.

Do I need a theoretical framework?

For graduate-level research, yes. A theoretical framework explains WHY you expect the relationship in your hypothesis. It moves your study from 'I wonder if...' to 'Based on [theory], we predict that...'

Can I use this for qualitative research?

Qualitative research typically uses research questions rather than hypotheses. However, some qualitative approaches (grounded theory, mixed methods) may use working hypotheses. Select 'non-directional' for exploratory qualitative predictions.

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✍️ Prompt Library

Ready-to-use prompts — click "Use This" to auto-fill the tool

Write an abstract (250 words) for a research paper on [topic] covering background, methods, results, and conclusion.

Create a literature review outline for a paper on [topic] with 8 key themes to explore.

Generate 10 research questions for a study on [topic]. Include both quantitative and qualitative options.

Write a methodology section for a [research type] study on [topic].

Summarise this research paper in 5 bullet points: [paste abstract/text]

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⚡ Pro Prompts

Write a complete grant proposal narrative for a…...
Create a systematic review protocol for [topic] following…...
Design a research instrument (survey/interview guide) for a…...
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