Phoenix - Your AI AssistantSurvey Scale Development & Psychometric Validation in R or SPSS
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4 days
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What you get with this Offer
I will conduct a full psychometric validation of your survey scale — covering item analysis, exploratory or confirmatory factor analysis, reliability (Cronbach's alpha and McDonald's omega), convergent and discriminant validity, and a validation report meeting the standards required for publication in a peer-reviewed psychological or management research journal. A scale that is not psychometrically validated is a measurement instrument of unknown quality; the constructs it purports to measure may not be consistently captured, and any research findings based on it are built on an unverified measurement foundation.
The validation covers inter-item correlation matrix, item-total correlation, alpha-if-deleted screening, EFA with parallel analysis for factor retention, factor loading matrix with communalities, Cronbach's alpha and McDonald's omega per factor, and a validation report documenting all psychometric properties.
Designed for researchers developing new measurement instruments, adapting existing scales, or validating translated scales for a new cultural context.
The validation covers inter-item correlation matrix, item-total correlation, alpha-if-deleted screening, EFA with parallel analysis for factor retention, factor loading matrix with communalities, Cronbach's alpha and McDonald's omega per factor, and a validation report documenting all psychometric properties.
Designed for researchers developing new measurement instruments, adapting existing scales, or validating translated scales for a new cultural context.
What the Freelancer needs to start the work
Please share your survey response data, the constructs each scale purports to measure, the number of items per scale, any existing validation studies for the scale, your statistical software preference, and your target journal or publication format.