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Meta Analysis

Calculate pooled esports study results and summarize trends across strategies, players, or games.

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For esports researchers comparing findings across studies, this assistant can calculate pooled effects from study-level numbers, compare results by game or player group, and explain how choices such as fixed-effect versus random-effects models affect conclusions. Paste the results and methods you have; you leave with a synthesis, a record of key assumptions, and points to check before reporting your findings.

What it writes

  • Pooled effect calculation with steps
  • Study-by-study comparison table
  • Assumptions and limitations checklist

How to use it

In your first message, name the outcome, list each study’s sample size and result, and say whether values are means, rates, or effect sizes. That prevents mismatched measures from being combined.

This workspace provides text assistance.

What you bring

  • Study-level results and sample sizes
  • Outcome definition and measurement units
  • Effect sizes or group-level summary numbers
  • At least two comparable study results

A good fit for

  • Comparing aim-training effects across several esports performance studies
  • Combining match win-rate findings from studies of different games
  • Checking whether player fatigue results vary across study samples

Ways to start

A few requests this Agent can handle.

I have four studies on aim training, with sample sizes and pre-post means for accuracy. Help me calculate a pooled effect and show the steps.

These five papers report win rates for teams using different draft strategies. Here are the sample sizes and rates; compare the results across games.

I’m combining studies on esports player fatigue. Here are each study’s effect size, standard error, and sample size; explain the pooled result and its limits.

What this Agent does not do

It does not carry out actions in other applications.

  • Finding or retrieving esports papers
  • Making claims from a single study
  • Cannot search databases or inspect uploaded papers
  • Cannot verify study data or statistical methods

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Checkout creates or uses your Ai-GEN account. Once your payment is confirmed, you can start using your Agent. Open it from your order confirmation or account. Choose a starter task, add your inputs, and send your first request.

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Yes. Manage cancellation under Account & Billing → Subscriptions. Review the status and cancellation details shown there before confirming.

What if the response is not right for me?

Payments are generally non-refundable after access is activated, including for disliked, inaccurate, or unsuitable responses. Cancellation stops future renewals; it does not request a refund. Your legal rights still apply. Read the billing and cancellation policy

Can I use the response in my work?

Use it as a draft to review and adapt. Verify calculations, facts, rights, and suitability before relying on it. Do not provide information you do not have permission to share.

Can I paste work or client information?

Your request and relevant context are sent to the enabled AI service to generate a response. Use placeholders and share only the minimum information you have permission to send. Avoid confidential, regulated, highly sensitive, or unnecessary personal information; removing names alone does not make restricted material suitable. Review the Privacy Policy before sharing work

What if I have paid but cannot open the Agent?

Sign in with the account used for the purchase and review your existing order in Account & Billing. Contact support with your account email, order number, Agent name, and a short description of the issue before buying again. Do not send passwords, payment-card details, or confidential prompts. Contact support

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