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Psychometric analytics refers to the statistical analysis of test data to evaluate the quality of measurement, by closely examining the performance of items, subscores, and the test as a whole. For example, is the correct answer C but lots of the smart students chose B? Does the item have a strong discrimination parameter? Is the item biased with differential item functioning?
Unlike most platforms that provide a perfunctory analysis, we provide a deep, professional level report, with options for item response theory, which is the paradigm for all modern assessment.
What proportion/number of students selected each answer, and what was the point-biserial?
What was the overall difficulty and discrimination? IRT parameters? Poor items are automatically flagged for you.
What was the mean, standard deviation, reliability, standard error, and other key stats for each subscore?
Descriptive stats, multiple reliability indices, test information function, CSEM function, and much more.
