What problem does it solve? Doctoral researchers often struggle to create or choose measurement instruments that are both reliable and valid, risking flawed data and indefensible conclusions. This Skill guides the full lifecycle of instrument development and selection so your measures actually capture the constructs you claim to study. ## Core Features & Use Cases - Instrument Development: Step-by-step processes for building surveys/scales (construct definition, item generation, expert review, pilot testing, psychometric validation), semi-structured interview protocols, and observation rubrics with behavioral anchors. - Existing Instrument Evaluation: Criteria and templates for finding published instruments and assessing their reliability, validity, population fit, and permissions before adoption. - Validity & Reliability Frameworks: Clear definitions and acceptable thresholds for construct, content, criterion, and discriminant validity, plus Cronbach's alpha, test-retest, and inter-rater reliability. - Use Case: You need to measure teacher self-efficacy for inclusive teaching but no existing scale fits your population. Use this Skill to define the construct, generate an item bank, run expert content-validity review, pilot with cognitive interviews, and plan factor analysis to produce a validated 15–20 item scale. ## Quick Start Help me develop and validate a survey instrument measuring teacher self-efficacy for inclusive teaching in my dissertation study.
