Develop and validate psychometric measurement instruments for social science research.
npx skills add https://github.com/HosungYou/Diverga --skill d4
Please help me install this Agent Skill. Skill: d4 Source: https://github.com/HosungYou/Diverga/tree/main/skills/d4 Command: npx skills add https://github.com/HosungYou/Diverga --skill d4
This Skill streamlines the complex process of developing and validating measurement instruments (scales, questionnaires) for social science research, ensuring psychometric soundness.
Develop a new scale for measuring user engagement by following the scale development plan.
High-intent search queries and answers about installing and using this skill.
Scale development involves defining the construct, writing items, pilot testing, and conducting factor analysis to establish internal structure. You validate the psychometric instrument by assessing content, response processes, and relations with other variables to ensure measurement reliability and validity.
Validating a questionnaire requires evidence across content, response processes, internal structure, relations with other variables, and consequences. Established psychometric standards mandate these validity checks to confirm your measurement instrument accurately captures the target construct.
Assess scale reliability by calculating internal consistency metrics like Cronbach's alpha and Omega during psychometric validation. These checks verify that your questionnaire items consistently measure the intended construct across respondents, ensuring measurement instrument soundness.
Validating an existing questionnaire for a new population requires re-establishing internal structure through factor analysis and verifying reliability and validity evidence. This psychometric validation ensures the measurement instrument maintains soundness across different respondent groups.
Factor analysis is a psychometric technique used during scale development to evaluate the internal structure of your measurement instrument. You need it to confirm that questionnaire items group together as theorized, supporting construct validity evidence.
xjtulycRun end-to-end psychometric validation on questionnaire item response datasets.
Amar1404Identify missing data points in datasets and generate data collection instrument requests.
ptreezhCompute reliability and validity metrics for research instruments with JSON output.
tnezExtract knowledge from journal entries into ADRs and guides.
