Mixed Methods Guide

What it does

When your agent uses it

• Research & Science work in your project

Example prompts

• “/mixed-methods-guide”

Requirements

• Python 3

Workflow steps

7 steps, taken from the first numbered list in SKILL.md.

1. 1Research questions: State both QUAN and QUAL questions plus the mixed methods question
2. 2Design rationale: Explain why mixed methods is needed
3. 3Design type: Name the specific design (convergent, explanatory sequential, etc.)
4. 4Strand descriptions: Describe each strand's methods in detail
5. 5Integration procedure: Explain how and when data are integrated
6. 6Joint display: Present integrated findings in a table or figure
7. 7Meta-inferences: Draw conclusions that leverage both data types

What it can do on your machine

Read from SKILL.md and the folder at commit bf44b3c. It shows what the files ask for, not the result of running them.

• Tool permissions

  Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.

  From allowed-tools in the SKILL.md frontmatter.

• Runs code

  No scripts in the folder and no shell commands in SKILL.md (its code samples are python).

  From the folder's file list and the shell code blocks in SKILL.md.

• Network

  No URLs in SKILL.md.

  From URLs in SKILL.md, links to its own repository left out.

• Credentials

  Names no API keys, tokens, secrets or passwords.

  From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

Mixed Methods Guide loads about 2.2k tokens when it runs. Until then it costs about 19 tokens; SKILL.md has 644 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it

~19

When it runs · the whole SKILL.md, loaded when a task matches

~2.2k

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.

SKILL.md

The full file from wentorai/research-plugins at commit bf44b3c, republished under its MIT licence (© wentorai). 644 words, ~2,215 tokens.

name

mixed-methods-guide

description

Guide to designing and conducting mixed methods research

    QUAN data collection          QUAL data collection
           |                              |
    QUAN data analysis            QUAL data analysis
           |                              |
           +---------- Merge ------------+
                         |
                  Interpretation

    QUAN data collection & analysis
                |
    Identify results needing explanation
                |
    QUAL data collection & analysis (informed by QUAN results)
                |
           Interpretation

    QUAL data collection & analysis
                |
    Develop instrument / hypotheses / categories from QUAL findings
                |
    QUAN data collection & analysis (testing QUAL-derived constructs)
                |
           Interpretation

    QUAN experiment
        |-- Embedded QUAL (interviews during intervention)
        |-- QUAN outcome measures
           |
       Interpretation

| Quantitative Finding | Qualitative Theme | Meta-Inference |
|---------------------|-------------------|----------------|
| 78% reported high stress (M=4.2/5) | Theme: "Always-on culture" — participants described checking email at midnight | Convergent: high stress scores align with descriptions of boundary erosion |
| No significant gender difference (p=.34) | Women described unique stressors (caregiving + work), men described different ones (promotion pressure) | Divergent: similar overall levels but different sources of stress |
| Time-management training reduced stress (d=0.45) | Theme: "Tools help but culture doesn't change" | Complementary: training has modest measurable effect but underlying issues persist |

1. Thematic Analysis (Braun & Clarke, 2006)
   Step 1: Familiarize with data (read transcripts multiple times)
   Step 2: Generate initial codes
   Step 3: Search for themes (group codes into higher-level themes)
   Step 4: Review themes (check against data)
   Step 5: Define and name themes
   Step 6: Write up findings

2. Coding Process:
   - Open coding: label meaningful segments of text
   - Axial coding: identify relationships between codes
   - Selective coding: identify core categories

3. Tools: NVivo, ATLAS.ti, MAXQDA, Dedoose, or manual coding in spreadsheets

# Example: Quantifying qualitative themes for integration
import pandas as pd

# After coding interviews, create a themes-by-participant matrix
themes_matrix = pd.DataFrame({
    "participant": ["P01", "P02", "P03", "P04", "P05"],
    "high_stress": [1, 1, 0, 1, 1],      # 1 = theme present
    "boundary_erosion": [1, 0, 0, 1, 1],
    "coping_strategy": [0, 1, 1, 1, 0],
    "quant_stress_score": [4.5, 3.8, 2.1, 4.2, 4.0]
})

# Now examine whether theme presence correlates with quantitative scores
from scipy.stats import pointbiserialr

r, p = pointbiserialr(themes_matrix["high_stress"],
                       themes_matrix["quant_stress_score"])
print(f"Correlation between stress theme and score: r={r:.3f}, p={p:.3f}")

© wentorai, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

Just SKILL.md in skills/research/methodology/mixed-methods-guide of wentorai/research-plugins.

Open the folder on GitHubat commit bf44b3c

Used in 1 other repository

We found 1 copy of this SKILL.md (exact, near-identical or edited) in other folders, from 1 other GitHub owner. This page covers the copy in wentorai/research-plugins, which our catalogue first saw on October 7, 2026.

• brycewang-stanford/Auto-Empirical-Research-Skillsskills/43-wentorai-research-plugins/skills/research/methodology/mixed-methods-guide