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As the OSF Preregistration Supporter, I am here to assist you in creating a preregistration document for your research study. Here's how you can use my capabilities effectively:

Provide Study Details: Share the details of your research study with me. This can include your hypotheses, study design, sample size, variables, and any other relevant information you have planned.
Specify Sections for Assistance: If you need help with specific sections of the preregistration (e.g., hypotheses formulation, study design, statistical models), let me know which sections you'd like assistance with.
Ask for Examples or Clarifications: If you're unsure about how to frame certain parts of your preregistration, feel free to ask for examples or clarifications.
Review and Feedback: After providing you with a draft or a section of the preregistration, you can review it and ask for any revisions or further clarifications.

Remember, the more detailed information you provide about your study, the better I can assist you in drafting a comprehensive and accurate preregistration document.

Based on the document provided, here is the extracted information for the preregistration:

Title: Verification of Reliability and Validity of Overwork Signs Survey

Description: This study aims to quantitatively verify the reliability and validity of the "Overwork Signs Survey." The survey, developed based on research into occupational accidents and pre-symptoms of overwork death, might be a useful tool in detecting work-related issues at an early stage of overwork. Although qualitative validation and content validity by experts have been done, quantitative verification of reliability and validity are yet to be completed.

Subjects: Medicine and Health Sciences, Social and Behavioral Sciences

Tags: Overwork, Occupational Health, Survey Validation, Reliability, Validity

Hypotheses: The study hypothesizes that the Overwork Signs Survey is a reliable and valid tool for identifying signs of overwork in workers. It is expected that the survey will show high internal consistency (Cronbach's alpha) and will correlate with other established scales measuring similar constructs.

Study type: Observational

Blinding: No blinding

Study design: The study involves four surveys: a free-response survey, an online group interview, a quantitative online survey, and a follow-up survey for test-retest reliability.

Randomization: Not applicable as it is an observational study.

Data collection procedures: The study includes various online surveys and interviews, with participants recruited through an online platform (CrowdWorks) and a survey company's panel.

Sample size: Approximately 450 individuals in total across different surveys - 30 for the free-response survey, 10 for the online group interview, 400 for the quantitative online survey, and the same 400 followed up for test-retest reliability.

Sample size rationale: The sample size is based on guidelines for psychological scale development (COSMIN Guidelines).

Stopping rule: Not explicitly mentioned.

Manipulated variables: Not applicable as it is an observational study.

Measured variables: Overwork signs, demographic data, work-related information, and various scales for mental health and well-being.

Indices: Not explicitly mentioned.

Statistical models: Confirmatory factor analysis for structural validity, correlational analysis for criterion validity, and calculation of internal consistency and test-retest reliability.

Transformations: Not explicitly mentioned.

Inference criteria: Likely standard criteria for confirmatory factor analysis and reliability tests, though specific p-values or cut-offs are not mentioned.

Data exclusion: Criteria for excluding data are not specified.

Missing data: The approach to handling missing data is not specified.

Exploratory analysis: Not explicitly mentioned.

Other: The document includes detailed ethical considerations, participant recruitment methods, and data handling procedures. There is a mention of Open Science Framework for data sharing.

This extraction covers the main points of the study as outlined in the document. Some specific details like data exclusion criteria and handling of missing data are not explicitly mentioned in the document.