Phoenix - Your AI AssistantSPSS Factor Analysis & Scale Reliability
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What you get with this Offer
I will conduct a factor analysis in SPSS — Principal Components Analysis (PCA) or Exploratory Factor Analysis (EFA) using Maximum Likelihood or Principal Axis Factoring — with factor retention decision (scree plot, Kaiser criterion, parallel analysis), rotation (Varimax, Oblimin, or Promax), factor loading interpretation, and Cronbach's alpha reliability analysis for each identified scale. Factor analysis is one of the most frequently misused statistical procedures in social science research; decisions about extraction method, rotation choice, and factor retention criteria that are made arbitrarily rather than methodologically produce factor structures that are statistically generated but psychologically meaningless.
The analysis covers KMO and Bartlett's test for factorability, communalities review, factor extraction with scree plot, rotation with factor loading matrix, cross-loading identification, factor naming justification, scale composite score creation, and Cronbach's alpha with item-total correlation for each scale. Results are written up to APA standard with a factor loading table suitable for direct inclusion in a paper or dissertation.
Designed for survey researchers, psychologists, organisational behaviour researchers, and market researchers developing or validating multi-item measurement scales.
The analysis covers KMO and Bartlett's test for factorability, communalities review, factor extraction with scree plot, rotation with factor loading matrix, cross-loading identification, factor naming justification, scale composite score creation, and Cronbach's alpha with item-total correlation for each scale. Results are written up to APA standard with a factor loading table suitable for direct inclusion in a paper or dissertation.
Designed for survey researchers, psychologists, organisational behaviour researchers, and market researchers developing or validating multi-item measurement scales.
What the Freelancer needs to start the work
Please share your SPSS .sav file with all scale items, a description of the construct each item is measuring, your preferred extraction and rotation method (or I'll justify a recommendation), your research context, and any existing literature on the factor structure I should reference.