For the autoscored Inbox Simulation, stability was assessed with test-retest administration. 200 people took the simulation twice, with the mean interval of 40 days. Coefficient was 0.53.

Concurrent validity is the degree to which the scores on a test are related to the scores on another, already established, test administered at the same time. However, other criteria can also be used. The autoscored Inbox Simulation and an established Case Study, which were found to be significantly related. Data-Driven (Case Study) was found to be significantly correlated with all the aspects measured by the Autoscored Inbox Simulation except for Mentoring. This pattern may reflect the relatively stronger relationship Data Driven has with responding to the questions posed in the Autoscored Inbox Simulation.

Significant correlations between Contingency Handling (Case Study) and aspects of responsiveness (r=.40), planning and prioritization (r=.46), customer service orientation (r=.47), and strategy (r=.42). This highlights the importance of responsiveness, planning, strategic prioritization, and customer centricity while handling contingencies.

By collecting test scores and criterion scores (e.g. job performance ratings, grades in a training course, supervisor or manager ratings), one can determine how much confidence may be placed in using test scores to predict job success. In such cases, criterion validity is referred to as predictive validity. In the business domain, using a validation sample of 110 candidates, it was reported that the overall composite scores on autoscored Inbox Simulation correlated .24 with panel interview ratings and .31 with perception ratings on potential by the internal stakeholders.

Jombay Assessments have defined a global set of norms that include all data across industries, functions, and experience levels. For each assessment, Industry-Function-Experience level combinations are derived for norms with significant population data. Norming has been done at the trait level and is based on the mean and standard deviation for each sample. A data of at least 100 respondents per combination is considered as a significant population for generating norms. Norms are defined by taking the mean and the standard deviation of the sample’s scores and dividing the sample into 6 buckets. Jombay norm data is annually updated.

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