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Exam Statistics and Results
Table: ceStatsExam
Aggregation of all Item Stats for the Exam.
| Field | Description |
|---|---|
| StatsID | Unique Identifier for this set of Statistics |
| QtyQuestions | Count of all Items on the Exam |
| QtyCandidates | Count of all Candidates taking the Exam |
| QtyCompetencies | Count of distinct Competencies from all Items on the Exam |
| QtySections | Count of Sections on the Exam |
| ValueMax | Maximum achievable points for Exam, from sum of all Value Max of Items on the Exam |
| QtyCorrect | Total of all QtyCorrect for all Items on the Exam |
| QtySkipped | Total of all QtySkipped for all Items on the Exam |
| QtyIncorrect | Total of all QtyIncorrect for all Items on the Exam |
| RawPercent | x = Count of Correct Items on Exam n = Count of Candidates on Exam k = Count of Items on Exam  |
| ValueCorrect | Total of all ValueCorrect for all Items on the Exam |
| ValueSkipped | Total of all ValueSkipped for all Items on the Exam |
| ValueIncorrect | Total of all ValueIncorrect for all Items on the Exam |
| ValueTotal | (ValueCorrect + ValueSkipped + ValueIncorrect) |
| ValuePercent |  |
| Difficulty | x = Count of Correct Items on Exam n = Count of Candidates on Exam k = Count of Items on Exam  |
| RawHigh | Highest QtyCorrect achieved by a Candidate on the Exam |
| RawLow | Lowest QtyCorrect achieved by a Candidate on the Exam |
| RawMean | Mean (average) QtyCorrect achieved by a Candidate on the Exam |
| RawVariance | Variance of QtyCorrect for all Candidates on the Exam |
| RawStdev | Standard Deviation of QtyCorrect for all Candidates on the Exam |
| ValueHigh | Highest ValueTotal achieved by a Candidate on the Exam |
| ValueLow | Lowest ValueTotal achieved by a Candidate on the Exam |
| ValueMean | Mean (average) ValueTotal achieved by a Candidate on the Exam |
| ValueVariance | Variance of ValueTotal for all Candidates on the Exam |
| ValueStdev | Standard Deviation of ValueTotal for all Candidates on the Exam |
| ValueMedian | Median (middle) ValueTotal for all Candidates on the Exam |
| ValueMode | Mode (most frequent) ValueTotal for all Candidates on the Exam |
| PercentDistribution | Text field which holds a summary of the score distributions. Not a statistic, but used in reporting |
| QtyPassExam | Count of Candidates that passed Exam. See Candidate Statistics (PassExam)  link |
| SpearmanRank | n = Number of Candidates RankOdd = Candidates Ranking on Odd Items only compared to all other Candidates on Exam RankEven = Candidates Ranking on Odd Items only compared to all other Candidates on Exam  |
| SpearmanBrown |  |
| KuderRichardson20 | k = Count of Items on Exam Total Test Variance = Variance of Candidate Raw Scores Sum of p*q = sum of all items p (difficulty) * q (1-p) for all items in Exam  |
| KuderRichardson21 | qtyX = Count Items answered correctly on Exam x ̅ = Mean of QtyCorrect for each Candidate on Exam s = StDev of Raw Scores of all Candidates on Exam  |
| StandardError | s = StDev of QtyCorrect for Exam n = Count of Candidates  |
| AlphaCoefficient | k = Count of Items on Exam Total Test Variance = Variance of Candidate Raw Scores Sum of Item Variance = Sum of all item variances on Exam  |
| Skewness | n = Count of Candidates xi = QtyCorrect for each Candidate on Exam x ̅ = Mean of QtyCorrect on Exam s = StDev of QtyCorrect on Exam  Calculate Population Skewness using Sample Skewness  |
| Kurtosis | n = Count of Candidates xi = QtyCorrect for each Candidate on Exam x ̅ = Mean of QtyCorrect for Exam s = StDev of QtyCorrect for Exam Calculate Sample Kurtosis  Calculate Population Kurtosis using Sample Kurtosis  |
| AlternateSystem | Stores Alternate Value used for Calculation (True, Custom, ZScore, TScore,…) see Alternate Scores link |
| AlternateBase | Alternate used in Alternate Calculations see Alternate Scores link |
| AlternateMean | Alternate Mean used in Alternate Calculations see Alternate Scores link |
| AlternateStDev | Alternate Standard Deviation used in Alternate Calculations see Alternate Scores link |
| QuestionLogitSum | Future use |
| QuestionLogitMean | Future use |
| QuestionLogitVariance | Future use |
| QuestionLogitSquaredSum | Future use |
| QuestionSpreadExpansion | Future use |
| CandidateLogitSum | Future use |
| CandidateLogitMean | Future use |
| CandidateLogitVariance | Future use |
| CandidateLogitSquaredSum | Future use |
| CandidateSpreadExpansion | Future use |
