feat(skills): add deep-research skill
Copy deep-research skill from local Qoder installation to config repo for version control
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skills/deep-research/templates/preregistration_template.md
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skills/deep-research/templates/preregistration_template.md
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# Preregistration Template — OSF Standard 21-Item Preregistration Template
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## Purpose
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A fill-in template based on the OSF Standard Pre-Data Collection Registration format. Researchers complete this template before data collection and upload it to a preregistration platform (e.g., OSF Registries).
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---
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## Instructions
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1. Complete this template **before** data collection
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2. Items marked `[Required]` are mandatory; `[Optional]` are recommended but not required
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3. If an item is not applicable, write "Not applicable" and briefly explain why
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4. After completion, go to [OSF Registries](https://osf.io/registries) to create a preregistration
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5. Once submitted, preregistrations cannot be modified (an embargo period can be set)
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---
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## A. Study Information
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### 1. Title [Required]
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> Study Title
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```
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[Enter descriptive study title]
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```
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### 2. Authors [Required]
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> Research Team
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| Name | Institution | Role | ORCID |
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|------|-------------|------|-------|
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| [Name] | [Institution] | [PI / Co-PI / RA] | [ORCID] |
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| [Name] | [Institution] | [Role] | [ORCID] |
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### 3. Research Questions [Required]
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> Main Research Questions
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```
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RQ1: [Enter main research question]
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RQ2: [Enter secondary research question, if any]
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```
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### 4. Hypotheses [Required]
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> Pre-specified Hypotheses
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> Please state directional predictions clearly
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```
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H1: [Enter hypothesis 1, including expected direction]
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Example: Students receiving treatment X will score significantly higher
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on test Y than the control group
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H2: [Enter hypothesis 2, if any]
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H3: [Enter hypothesis 3, if any]
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```
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---
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## B. Design Plan
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### 5. Study Type [Required]
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> Study Design
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- [ ] Experiment
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- [ ] Between-subjects
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- [ ] Within-subjects
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- [ ] Mixed design
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- [ ] Factorial design: ___ x ___
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- [ ] Observational study
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- [ ] Cross-sectional
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- [ ] Longitudinal / Cohort
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- [ ] Case-control
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- [ ] Survey
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- [ ] Other: [Describe]
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```
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[Describe study design in detail]
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```
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### 6. Randomization [Optional]
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> Randomization Procedure
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```
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Randomization method: [Simple random / Stratified random / Cluster random / Block random / Not applicable]
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Randomization unit: [Individual / Class / School / Not applicable]
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Randomization tool: [Random number table / Computer program / Lottery / Not applicable]
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Allocation ratio: [1:1 / 2:1 / Other]
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```
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### 7. Blinding [Optional]
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> Blinding / Masking
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```
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Blinding level: [No blinding / Single-blind / Double-blind / Triple-blind]
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Blinded parties: [Participants / Researchers / Assessors / Not applicable]
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Blinding maintenance: [Describe how blinding is maintained]
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Unblinding timing: [Describe when unblinding occurs]
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```
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### 8. Study Design / Conditions [Required]
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> Specific description of each group/condition
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```
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Experimental group/Condition 1: [Describe intervention content, duration, frequency in detail]
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Experimental group/Condition 2: [If any]
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Control group: [Describe control condition in detail]
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```
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---
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## C. Sampling Plan
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### 9. Existing Data [Required]
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> Existing Data Declaration
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- [ ] No data have been collected yet (Registration prior to creation of data)
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- [ ] Data exist but have not been examined (Registration prior to any human observation of the data)
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- [ ] Some data have been examined (Registration prior to accessing the data)
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- [ ] Data have been used for preliminary analysis (Registration following analysis of the data)
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```
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[Describe data status and your level of familiarity with the data]
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```
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### 10. Data Collection Procedures [Required]
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> Data Collection Procedures
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```
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Collection method: [Online survey / Paper survey / Interview / Experiment / Archival data / Other]
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Collection instruments: [Questionnaire name / Scale name / Experimental software]
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Collection location: [Online / Classroom / Laboratory / Other]
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Collection timeline: [Start and end dates]
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Data collectors: [Who is responsible for collection]
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```
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### 11. Sample Size [Required]
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> Planned sample size
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```
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Target sample size: [N = ]
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Sample size per group: [Experimental group n = , Control group n = ]
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```
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### 12. Sample Size Rationale [Required]
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> Basis for sample size determination
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```
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Method: [Power analysis / Prior research conventions / Feasibility constraints / Other]
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Power analysis parameters (if applicable):
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- Effect size: [d = / f = / r = ]
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- Effect size source: [Prior study / Meta-analysis / Pilot study]
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- Significance level (alpha): [.05 / .01]
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- Statistical power: [.80 / .90]
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- Test type: [t-test / ANOVA / Regression / Other]
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- Calculation tool: [G*Power / R / Other]
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- Calculation result: Minimum required N = [ ]
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Oversampling rate: [Accounting for ___% attrition, actual target N = ]
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```
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### 13. Stopping Rule [Required]
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> When to stop data collection
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```
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Stopping rule:
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- [ ] Stop when target sample size is reached
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- [ ] Stop at specified date (Deadline: [Date])
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- [ ] Stop when target power is reached (sequential analysis)
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- [ ] Other: [Describe]
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```
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---
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## D. Variables
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### 14. Manipulated Variables [Required for experiments]
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> Independent Variables
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```
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Independent variable 1: [Name]
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Operational definition: [How it is manipulated]
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Levels: [Level 1 / Level 2 / ...]
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Independent variable 2: [If any]
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```
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### 15. Measured Variables [Required]
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> Dependent Variables
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```
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Primary dependent variable: [Name]
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Operational definition: [How it is measured]
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Measurement instrument: [Scale name / Test name]
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Reliability and validity: [Cite reliability/validity literature]
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Secondary dependent variable: [If any]
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Covariates/Control variables: [If any]
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```
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### 16. Indices [Required]
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> Specific scoring method for each variable
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```
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Variable 1 scoring:
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- Items: [Which items]
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- Scoring method: [Sum / Mean / Factor score / Other]
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- Reverse-scored items: [Which items need reverse scoring]
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- Missing data handling: [How to handle missing values]
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Variable 2 scoring: [Same format as above]
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```
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---
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## E. Analysis Plan
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### 17. Statistical Models [Required]
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> Primary statistical analysis methods
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```
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Analysis for Hypothesis 1:
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- Statistical method: [Independent t-test / ANOVA / Regression / HLM / SEM / Other]
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- Detailed description: [Model specification, e.g., DV ~ IV + covariate + (1|cluster)]
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Analysis for Hypothesis 2: [Same format as above]
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```
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### 18. Transformations [Optional]
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> Data transformation plan
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```
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Planned transformations:
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- [ ] No transformations
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- [ ] Log transformation: Applied to [which variables], trigger condition [skewness > ]
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- [ ] Standardization (Z-score)
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- [ ] Other: [Describe]
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```
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### 19. Inference Criteria [Required]
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> Statistical inference criteria
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```
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Significance level: alpha = [.05 / .01 / .005]
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Multiple comparison correction: [Bonferroni / Holm / FDR / Not applicable]
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Effect size reporting: [Cohen's d / eta-squared / R² / Other]
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Confidence interval: [95% CI / 99% CI]
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One-tailed/Two-tailed test: [Two-tailed / One-tailed, with justification]
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```
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### 20. Data Exclusion [Required]
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> Data exclusion criteria
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```
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Exclusion criteria:
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- [ ] Failed attention check (Specific criteria: [ ])
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- [ ] Response time too short/long (Criteria: < [ ] minutes or > [ ] minutes)
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- [ ] Outliers (Definition: [> 3 SD / IQR method / Other])
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- [ ] Incomplete rate > [ ]%
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- [ ] Other: [Describe]
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Post-exclusion procedures:
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- Report pre- and post-exclusion sample sizes
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- Compare characteristics of excluded vs. retained samples
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```
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### 21. Exploratory Analyses [Optional]
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> Planned exploratory analyses
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```
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Exploratory analyses (not primary hypotheses, but planned):
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1. [Analysis description]
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2. [Analysis description]
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These analyses will be explicitly labeled as "exploratory" in the paper.
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```
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---
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## F. Other
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### Ethics Review [Optional]
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```
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IRB review status: [Approved / Under review / Exempt / Not applicable]
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IRB number: [ ]
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Reviewing institution: [ ]
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```
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### Data Availability [Optional]
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```
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Will data be made public: [Yes / No / Partially]
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Data repository: [OSF / Dataverse / Other]
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Timing: [After publication / After study completion / Other]
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```
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### Supplementary Materials [Optional]
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```
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- [ ] Full questionnaire/scale
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- [ ] Stimulus materials
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- [ ] Analysis code
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- [ ] Power analysis report
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- [ ] Pilot study results
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```
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---
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## Pre-Submission Checklist
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- [ ] All [Required] items have been completed
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- [ ] Hypotheses are clearly stated and testable
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- [ ] Analysis methods correspond to hypotheses
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- [ ] Exclusion criteria were established before data collection
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- [ ] Confirmatory and exploratory analyses have been distinguished
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- [ ] IRB review status has been confirmed
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- [ ] Preregistration platform has been selected (OSF Registries recommended)
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> After completion, go to [OSF Registries](https://osf.io/registries) to submit the preregistration.
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