
EHR 208: Human Resource Metrics and Analytics (2 Units C: LH 30)
Learning Outcomes
At the end of the course students should be able to:
1. describe the concept of human resource metrics and analytics.
2. classify human resource metrics quantitatively using numerical, graphical and statistical evaluation;
3. demonstrate the demographic indexation, simulation, modelling and techniques of Human Resource (HR) metrics and analytics;
4. recognise basic terms in metrics and analytics, such as absenteeism, turnover, attrition rate and selection errors; and
5. measure the reliability and validity of instruments used for assessing training cost, recruitment cost, etc.
Course Contents
Basic quantitative knowledge and skills on HR issues that can be quantified through numerical, graphical and statistical evaluations. Individual and group demographics, forecast of demand and supply using trend analysis, indexation, simulations, modelling and Delphi techniques. Computations of absenteeism, turnover/attrition rates, and selection error/ratio. Measuring
reliability and validity of instruments for assessing aptitudes/attitudes, criteria/predictor formation and measurement. Multiple versus single criteria, combination of measures, training cost and benefit analysis. Converting job evaluation to weights, values and ranks. Basic use of central tendencies. Correlation, regression and analysis of variance in HR decisions.



