Evaluating data quality and understanding statistical measures
5HR03 – Reward for performance and contribution
This CIPD Level 5 learning video, part of unit 5HR03 – Reward for performance and contribution, examines how to evaluate data quality and understand statistical measures for benchmarking purposes. The content addresses assessment criteria 3.2 by exploring sources of intelligence such as reward and salary surveys, payroll data, and government statistics, whilst assessing the reliability and measurement of earnings, working hours, and pay settlements. You'll discover how to evaluate the most appropriate methods for gathering and measuring benchmarking data to develop meaningful organisational insight. By completing this video, you'll gain the analytical skills needed to critically assess data sources and apply statistical understanding to inform reward strategy decisions.
Assessment Criteria 3.2
Evaluate the most appropriate ways in which benchmarking data can be gathered and measured to develop insight.
Indicative Content
Sources of intelligence; evaluation, reliability and measurement of data; earnings, working hours, inflation, recruitment and vacancies; unemployment, pay settlements, bargaining and industrial disputes; reward and salary surveys, payroll data; government surveys, statistics and requirements.
What You'll Learn
Video covering: Evaluating data quality and understanding statistical measures
About 5HR03 – Reward for performance and contribution
This unit focuses on how internal and external business factors influence reward strategies and policies, the financial drivers of the organisation and the impact of reward costs and rewarding performance
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