Exploratory Factor Analysis in DataStatPro | Numeric & Likert Text Data

Learn how DataStatPro handles numerical questionnaire scores and categorical Likert text responses in an exploratory factor analysis workflow. Define numerical category codes at runtime, handle reverse wording, and interpret the resulting structure. This lesson uses 240 synthetic practice respondents and six items in matching numeric and text formats. It demonstrates PCA extraction with Varimax rotation, KMO, Bartlett’s test, eigenvalues, scree plots, rotated loadings, and communalities. Runtime coding does not establish equal category spacing or validate a scale; PCA and common-factor models answer different questions. Try DataStatPro: https://datastatpro.com CHAPTERS 00:00 Exploratory Factor Analysis 00:23 Open DataStatPro 00:46 One example, two formats 01:06 Import the workbook 01:31 Open factor analysis 01:52 Start with numerical items 02:13 Choose the analysis settings 02:42 Run the numerical analysis 03:01 Now choose text responses 03:24 Define the response order 03:47 Code once when appropriate 04:08 Handle reverse wording 04:32 Run the coded text analysis 04:56 Check data suitability 05:18 Why retain two dimensions? 05:41 Interpret the pattern 06:05 How well does each item fit? 06:32 Keep the conclusion proportionate 07:01 Your EFA workflow Like, subscribe, and share for more step-by-step DataStatPro tutorials. #DataStatPro #StatisticsTutorial #DataAnalysis