# What results are available in spreadsheet form?

For all tasks you can download the results of your candidates in CSV format.

Always look at Scaled Score for the primary source of information. The z scores are standardised versions of the scaled scores with a mean of 100 and an SD of 15. The task z-score is within your school, the cohort Z score is across all schools (for national tasks). The task stanine and the cohort stanine split your school results and cohort results into 9 bands, with 9 as the highest stanine and 1 the lowest.

Go to the particular task, click the "Refresh Scores" button then Check results.

You will be directed to this page, click the "Candidates Results" button.

The results downloaded in csv format will look like this:

QR Code - The 6-figure Code assigned to that candidate for the judging process.

First Name - The candidate's first name.

Last Name - The candidate's last name.

DOB - The candidate's date of birth.

Gender - The candidate's gender.

Group - The class or group where the candidate belong.

Pupil Premium - The Pupil Premium status of the candidate.

Year Group - The year group of the candidate.

Mark - Occasionally we may apply a bespoke mark scheme that overlays the scaled score

Scaled Score - The scaled scale for the candidate, a higher score being better. The scale limits are determined by the Scaled Score Min and the Scaled Score Range as defined in the Settings for the task.

Scaled Score SE - The standard error of the scaled score.

True Score - The actual score before scaling used by the statistical calculations involved in comparative judgement.

True Score SE - The standard error of the estimate of the true score.

Infit - The infit statistic for the candidate is a reflection of the degree of disagreement between judges on the quality of the scripts. A low value means low disagreement and a higher value means more disagreement. A value of 1.3 or greater means there was significant disagreement regarding this candidate’s script, and it may be of interest to look in more detail at scripts with these higher values.

Score - All the judgements and the ‘wins’ and ‘losses’ for each script against other scripts are placed into a mathematical model and the resulting ‘quality’ of each script is calculated. The mathematical model is a theoretical model of how the wins and losses of scripts should be, given their varying quality. From this model, we obtain the theoretical number of wins that a script should have if the data were to fit the mathematical model perfectly - this is the Score.

Prop Score - The theoretical proportion of wins we would expect (Score divided by number of comparisons).

Level and Level Value - If the candidates have Levels associated with their scores, they will appear here.

Link - If you want to look in detail at a candidate's script then you can copy and paste this link into your browser to take you to an image of that script.

Local Comparisons - How many local comparisons were made for this script.

Mod Comparisons - How many moderation comparisons were made for this script.

Anchor - Anchor script flag.

Moderated - Moderated script flag.

Task Name - The name of the specific task that judgements were made.

Observed Score - The number of 'wins' for the script

Losses - The number of 'losses' for the script

Anchor Score - The True Score a candidate was anchored to

From Task - Which task the candidate came from

Writing Age - The estimated writing age of the candidate

Writing Age Years - The estimated writing age of the candidate in years

Writing Age Months - The estimated writing age of the candidate in months

Actual Age - The actual age of the candidate

Actual Age Years - The actual age of the candidate in years

Actual Age Months - The actual age of the candidate in months

Total Difference in Months - The difference between the writing age and actual age in months

Difference Years - The difference between the writing age and actual age in years

Difference Months - The remainder of the difference between the writing age and actual age in months

above - If the writing age is above or below the actual age

Task Percentile - A percentile rank gives the candidate ranking in relation to other candidates within the same task. A percentile rank of 50 means the candidate has performed as well as or better than 50% of children of within the same task i.e., a percentile rank of 50 is the average score within that task.

Cohort Percentile - As for the task percentile, but within the whole cohort.

Task Z Score - the candidate's score in standard deviation within a task, with a mean of 100 and an SD of 15. So, a Z-score of 85 would indicate that the candidate's score is one SD below the mean and a Z-score of 115 would indicate that the candidate's score is one SD above the mean.

Cohort Z Score - the same as for Task Z Score but within the whole cohort.

Task Stanine - This places the candidate's score on a scale of 1 (low) to 9 (high) and offers a broad overview of performance.

Cohort Stanine - the same as for Task Stanine but within the whole cohort.

Absent - If a candidate was flagged as absent

Always look at Scaled Score for the primary source of information. The z scores are standardised versions of the scaled scores with a mean of 100 and an SD of 15. The task z-score is within your school, the cohort Z score is across all schools (for national tasks). The task stanine and the cohort stanine split your school results and cohort results into 9 bands, with 9 as the highest stanine and 1 the lowest.

Go to the particular task, click the "Refresh Scores" button then Check results.

You will be directed to this page, click the "Candidates Results" button.

The results downloaded in csv format will look like this:

QR Code - The 6-figure Code assigned to that candidate for the judging process.

First Name - The candidate's first name.

Last Name - The candidate's last name.

DOB - The candidate's date of birth.

Gender - The candidate's gender.

Group - The class or group where the candidate belong.

Pupil Premium - The Pupil Premium status of the candidate.

Year Group - The year group of the candidate.

Mark - Occasionally we may apply a bespoke mark scheme that overlays the scaled score

Scaled Score - The scaled scale for the candidate, a higher score being better. The scale limits are determined by the Scaled Score Min and the Scaled Score Range as defined in the Settings for the task.

Scaled Score SE - The standard error of the scaled score.

True Score - The actual score before scaling used by the statistical calculations involved in comparative judgement.

True Score SE - The standard error of the estimate of the true score.

Infit - The infit statistic for the candidate is a reflection of the degree of disagreement between judges on the quality of the scripts. A low value means low disagreement and a higher value means more disagreement. A value of 1.3 or greater means there was significant disagreement regarding this candidate’s script, and it may be of interest to look in more detail at scripts with these higher values.

Score - All the judgements and the ‘wins’ and ‘losses’ for each script against other scripts are placed into a mathematical model and the resulting ‘quality’ of each script is calculated. The mathematical model is a theoretical model of how the wins and losses of scripts should be, given their varying quality. From this model, we obtain the theoretical number of wins that a script should have if the data were to fit the mathematical model perfectly - this is the Score.

Prop Score - The theoretical proportion of wins we would expect (Score divided by number of comparisons).

Level and Level Value - If the candidates have Levels associated with their scores, they will appear here.

Link - If you want to look in detail at a candidate's script then you can copy and paste this link into your browser to take you to an image of that script.

Local Comparisons - How many local comparisons were made for this script.

Mod Comparisons - How many moderation comparisons were made for this script.

Anchor - Anchor script flag.

Moderated - Moderated script flag.

Task Name - The name of the specific task that judgements were made.

Observed Score - The number of 'wins' for the script

Losses - The number of 'losses' for the script

Anchor Score - The True Score a candidate was anchored to

From Task - Which task the candidate came from

Writing Age - The estimated writing age of the candidate

Writing Age Years - The estimated writing age of the candidate in years

Writing Age Months - The estimated writing age of the candidate in months

Actual Age - The actual age of the candidate

Actual Age Years - The actual age of the candidate in years

Actual Age Months - The actual age of the candidate in months

Total Difference in Months - The difference between the writing age and actual age in months

Difference Years - The difference between the writing age and actual age in years

Difference Months - The remainder of the difference between the writing age and actual age in months

above - If the writing age is above or below the actual age

Task Percentile - A percentile rank gives the candidate ranking in relation to other candidates within the same task. A percentile rank of 50 means the candidate has performed as well as or better than 50% of children of within the same task i.e., a percentile rank of 50 is the average score within that task.

Cohort Percentile - As for the task percentile, but within the whole cohort.

Task Z Score - the candidate's score in standard deviation within a task, with a mean of 100 and an SD of 15. So, a Z-score of 85 would indicate that the candidate's score is one SD below the mean and a Z-score of 115 would indicate that the candidate's score is one SD above the mean.

Cohort Z Score - the same as for Task Z Score but within the whole cohort.

Task Stanine - This places the candidate's score on a scale of 1 (low) to 9 (high) and offers a broad overview of performance.

Cohort Stanine - the same as for Task Stanine but within the whole cohort.

Absent - If a candidate was flagged as absent

Updated on: 30/09/2024

Thank you!