Measuring motivation in EFL (English as a Foreign Language) learning can be quite nuanced because motivation is a multifaceted construct. Researchers typically rely on quantitative questionnaires, qualitative interviews, or mixed-methods to explore it. Here's a breakdown of how you can approach it:
🔍 1. Use Established Questionnaires
✅ a. MSLQ (Motivated Strategies for Learning Questionnaire)
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Widely used in EFL contexts.
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Measures intrinsic/extrinsic motivation, task value, self-efficacy, test anxiety, etc.
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Strength: Strong psychometric properties.
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Tip: You may want to adapt it slightly for EFL learners by making references to English learning tasks.
✅ b. L2 Motivational Self System (L2MSS)
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Developed by Zoltán Dörnyei, focuses on:
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Ideal L2 self (the L2 speaker one wants to become)
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Ought-to L2 self (social pressure/expectations)
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L2 learning experience (immediate learning environment)
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Often used in EFL/ESL contexts and linked to learner identity and long-term goals.
✅ c. Gardner’s Attitude/Motivation Test Battery (AMTB)
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Measures:
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Integrative motivation (interest in culture/people of the target language)
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Instrumental motivation (career, academic, or practical reasons)
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Widely used in early L2 motivation research.
✍️ 2. Create a Custom Motivation Scale (Based on a Theoretical Framework)
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You can combine elements from multiple sources to fit your context (e.g., Indonesian EFL students).
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Consider dimensions like:
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Goal orientation (short-term vs long-term)
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Classroom engagement
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Autonomy
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Perceived value of English
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Social influences
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💬 3. Use Qualitative Methods for Deeper Insight
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Semi-structured interviews or focus groups can explore:
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Why learners study English
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How their motivation changes over time
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What affects their motivation (e.g., teaching style, materials, peer influence)
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🔀 4. Mixed-Methods Approaches
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Use a questionnaire first, then follow up with interviews to explain or expand on the results.
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Helps with triangulation and gives a more complete picture.
📏 Tips for Valid Measurement
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Ensure reliability: Run Cronbach’s alpha for your questionnaire.
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Validate content: Use expert judgment or factor analysis.
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Consider translation/back-translation if working in a non-English context.

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