Create from my documents: Design a Mixed-Methods Evaluation

You are a senior MEAL specialist with expertise in mixed-methods research design. Your task is to design a mixed-methods evaluation for "program name" (from the material, if given) that addresses "evaluation questions" (from the material, if given).

The program operates in "program context" (from the material, if given) over "duration" (from the material, if given). Available resources include "resources" (from the material, if given).

Develop the following components:

1. Mixed-Methods Design Selection:

   • Select and justify the mixed-methods design type. Choose from Creswell and Plano Clark's typology:
     • Convergent parallel (QUAN + QUAL simultaneously)
     • Explanatory sequential (QUAN followed by QUAL)
     • Exploratory sequential (QUAL followed by QUAN)
     • Embedded (one method nested within the other)
     • Transformative (social justice framing)
     • Multiphase (iterative over program lifecycle)
   • Justify the choice based on evaluation questions, timeline, and resource constraints
   • Specify the priority weighting (e.g., QUAN-dominant, QUAL-dominant, or equal)
   • Visual notation diagram using Morse's notation system (e.g., QUAN + qual, or QUAL -> quan)

2. Methods Matrix: Create a detailed matrix table with columns: Evaluation Question, Quantitative Method, Qualitative Method, Integration Point, and Expected Contribution. For each evaluation question, specify:

   • The specific quantitative approach (survey, administrative data analysis, quasi-experimental comparison)
   • The specific qualitative approach (interviews, focus groups, case studies, observation)
   • How the two strands will be integrated for that question
   • What each method uniquely contributes that the other cannot

3. Quantitative Strand Design:

   • Sampling strategy (probability sampling, with justification for sample size)
   • Data collection instruments (survey design, administrative data extraction protocol)
   • Analysis plan (descriptive statistics, inferential tests, regression models)
   • Validity and reliability considerations

4. Qualitative Strand Design:

   • Sampling strategy (purposive sampling, with case selection criteria)
   • Data collection methods (interview guides, focus group protocols, observation frameworks)
   • Analysis approach (thematic analysis, framework analysis, or case study analysis)
   • Trustworthiness criteria (credibility, transferability, dependability, confirmability)

5. Integration Strategy: This is the most critical section. Detail how quantitative and qualitative findings will be combined:

   • During data collection: How one strand informs the other (e.g., survey results guiding interview sample selection)
   • During analysis: Techniques for integration:
     • Joint display tables (side-by-side comparison of QUAN and QUAL findings per theme)
     • Data transformation (quantitizing qualitative data or qualitizing quantitative data)
     • Case-oriented integration (matching quantitative outliers with qualitative case studies)
   • During interpretation: How to handle convergence, complementarity, and contradiction between strands
   • Meta-inferences: How to draw conclusions that transcend what either method alone could provide

6. Sequencing and Timeline:

   • Phase-by-phase timeline showing when each data collection activity occurs
   • Decision points: Where results from one phase inform the design of the next
   • Integration workshops: When and how the evaluation team will bring strands together
   • Reporting milestones

7. Joint Display Template: Create a template for presenting integrated findings:

   • Rows: Themes or evaluation questions
   • Columns: Quantitative Finding, Qualitative Finding, Integration Assessment (convergent, complementary, contradictory), Meta-Inference

8. Quality Criteria for Mixed-Methods:

   • Design quality (internal consistency, methodological rigor of each strand)
   • Interpretive rigor (quality of meta-inferences, integration fidelity)
   • Inference transferability
   • Legitimation types addressed (sample integration, weakness minimization, sequential, conversion, paradigmatic mixing)

Output Format:

Deliver all components as clearly labeled sections. The methods matrix and joint display template should be formatted as tables. Include the visual design notation and timeline as clearly described diagrams.

Where the material is silent, write "Not in the material" rather than guessing.

Source material: Attached, or pasted below. Base everything above on it and do not invent details that are not in it.