RM/intro.md

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   - Specific enough to answer thoroughly
   - Complex enough to develop the answer over the space of a paper or thesis
   - Relevant to your field of study
+# RQ Validation activity
+- Based on [this paper](https://onlinestudy.york.ac.uk/courses/871/files/230590?wrap=1)
+- Introduction
+  - Self-efficacy is the personal belief of one's ability to succeed in a task
+  - How a teacher teaches can influence self-efficacy
+  - Knowing the impact of teaching on self-efficacy requires measurement
+  - There is no measure of self-efficacy in introductory algorithms courses
+  - What is a conceptually valid measure of self-efficacy in algorithm courses?
+- Method
+  - We partnered with four institutions to measure self-efficacy
+  - We adapted a previously designed instrument to an algorithm course context
+  - We administered the adapted instrument in four classes, obtaining 130 responses
+- Results
+  - We verified the data had sufficient sphericity to be factorable
+  - We performed a factor analysis, finding four factors that explained 66% of the variance
+  - The factors were consistent with the instrument's intended measurements, indicating construct validity
+  - Cronbachs Alpha was 0.938 suggested reliability
+  - The instrument did not correlate with measures of self-regulation, suggesting divergent validity
+  - The instrument did correlate with measurements of personality traits, suggesting nomological validity
+- Conclusion
+  - Therefore the instrument we designed is a conceptually valid measure of self-efficacy in introductory algorithm courses.
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