Exam Statistics and Results

Table: ceStatsExam

Aggregation of all Item Stats for the Exam.

FieldDescription
StatsIDUnique Identifier for this set of Statistics
QtyQuestionsCount of all Items on the Exam
QtyCandidatesCount of all Candidates taking the Exam
QtyCompetenciesCount of distinct Competencies from all Items on the Exam
QtySectionsCount of Sections on the Exam
ValueMaxMaximum achievable points for Exam, from sum of all Value Max of Items on the Exam
QtyCorrectTotal of all QtyCorrect for all Items on the Exam
QtySkippedTotal of all QtySkipped for all Items on the Exam
QtyIncorrectTotal of all QtyIncorrect for all Items on the Exam
RawPercentx = Count of Correct Items on Exam
n = Count of Candidates on Exam
k = Count of Items on Exam

ValueCorrectTotal of all ValueCorrect for all Items on the Exam
ValueSkippedTotal of all ValueSkipped for all Items on the Exam
ValueIncorrectTotal of all ValueIncorrect for all Items on the Exam
ValueTotal(ValueCorrect + ValueSkipped + ValueIncorrect)
ValuePercent
Difficultyx = Count of Correct Items on Exam
n = Count of Candidates on Exam
k = Count of Items on Exam

RawHighHighest QtyCorrect achieved by a Candidate on the Exam
RawLowLowest QtyCorrect achieved by a Candidate on the Exam
RawMeanMean (average) QtyCorrect achieved by a Candidate on the Exam
RawVarianceVariance of QtyCorrect for all Candidates on the Exam
RawStdevStandard Deviation of QtyCorrect for all Candidates on the Exam
ValueHighHighest ValueTotal achieved by a Candidate on the Exam
ValueLowLowest ValueTotal achieved by a Candidate on the Exam
ValueMeanMean (average) ValueTotal achieved by a Candidate on the Exam
ValueVarianceVariance of ValueTotal for all Candidates on the Exam
ValueStdevStandard Deviation of ValueTotal for all Candidates on the Exam
ValueMedianMedian (middle) ValueTotal for all Candidates on the Exam
ValueModeMode (most frequent) ValueTotal for all Candidates on the Exam
PercentDistributionText field which holds a summary of the score distributions. Not a statistic, but used in reporting
QtyPassExamCount of Candidates that passed Exam. See Registrant Statistics
SpearmanRankn = 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
KuderRichardson20k = 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

KuderRichardson21qtyX = 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

StandardErrors = StDev of QtyCorrect for Exam
n = Count of Candidates
StandardErrorMeasurements = StDev of QtyCorrect for Exam
n = Count of Candidates
kr20 = Kuder Richardson 20
AlphaCoefficientk = Count of Items on Exam
Total Test Variance = Variance of Candidate Raw Scores
Sum of Item Variance = Sum of all item variances on Exam

Skewnessn = 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

Kurtosisn = 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

AlternateSystemStores Alternate Value used for Calculation (True, Custom, ZScore, TScore,…) see Alternate Scores
AlternateBaseAlternate used in Alternate Calculations see Alternate Scores
AlternateMeanAlternate Mean used in Alternate Calculations see Alternate Scores
AlternateStDevAlternate Standard Deviation used in Alternate Calculations see Alternate Scores
QuestionLogitSumFuture use
QuestionLogitMeanFuture use
QuestionLogitVarianceFuture use
QuestionLogitSquaredSumFuture use
QuestionSpreadExpansionFuture use
CandidateLogitSumFuture use
CandidateLogitMeanFuture use
CandidateLogitVarianceFuture use
CandidateLogitSquaredSumFuture use
CandidateSpreadExpansionFuture use