PARAPHRASE: Data Source 3: Direct Employee Observations a. Data Source Description: Source: Structured Leadership Observations using standardized evaluation forms during shift observations. How to Obtain: Managers or HR observers follow a checklist during in-person site visits. b. Data Measurement Categorization: Type: Ordinal (evaluation rubrics: "Below Expectations," "Meets Expectations," "Exceeds Expectations") or Nominal (specific observed behaviors). Justification: Ratings fall into ordered categories; some observations may simply note the presence/absence of behaviors (nominal). c. How Data Point Will Be Measured: Example: Scoring observable leadership behaviors on a 3-point rubric, frequency of desired actions (e.g., coaching moments per shift). d. Data Capture/Extraction Considerations: Consistency: Observers must be trained for inter-rater reliability. Data Currency: Observations reflect real-time leadership behaviors. Challenges: Observer bias, consistency across evaluators, time-intensive data collection.

Data Source 3: Direct Employee Observations a. Data Source Description: * Source: Structured Leadership Observations using standardized evaluation forms during shift observations. * Howto Obtain: Managers or HR observers follow a checklist during in-person site visits. b. Data Measurement Categorization: Type: Ordinal (evaluation rubrics: \"Below Expectations,\" \"Meets Expectations,\" \"Exceeds Expectations\") or Nominal (specific observed behaviors). * Justification: Ratings fall into ordered categories; some observations may simply note the presence/absence of behaviors (nominal). c. How Data Point Will Be Measured: * Example: Scoring observable leadership behaviors on a 3-point rubric, frequency of desired actions (e.g., coaching moments per shift). d. Data Capture/Extraction Considerations: * Consistency: Observers must be trained for inter-rater reliability. * Data Currency: Observations reflect real-time leadership behaviors. + Challenges: Observer bias, consistency across evaluators, time-intensive data collection