Norm groups

In this talk, you will learn how to score psychometric tests and the importance of selecting the right norm group for interpreting results. Dr Tyler explains what to consider when choosing or creating a norm group, such as size, recency, and relevance to the candidate’s background and job role. You will also understand why norms matter for fair and meaningful assessments in the workplace.

After this talk, you will:

• Understand how to arrive at raw scores and standardized scores using norm tables.

• Know why it is important to choose the correct norm group for interpreting test results.

• Be aware of the key factors to consider when selecting a norm group, such as group size, educational background, work experience, job role, and seniority.

• Recognise the impact of using job applicant or development norm groups and how motivational distortion can affect scores.

• Understand that pre-screening and the background of norm group participants can influence results.

• Know the importance of the age and relevance of norm group data, and why more recent norm groups are preferred.

• Understand the significance of industry sector and ethnic background when comparing norm groups.

• Be aware that greater score differences often exist within cultures rather than between them.

• Know that you can create your own norm group if suitable published ones are not available, provided you ensure data quality.

• Understand that choosing the right norm group depends on the purpose—such as whether you want local or global comparisons for particular roles.