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Score Features

Conor Wild edited this page Aug 26, 2022 · 4 revisions

Description

  • This page is a complete reference of every feature that can be extracted from a test score.
  • The cbs_parse_data extracts all these features, providing them in columns in the resulting wideform data file.
  • This isn't guaranteed to be up-to-date, yet. Also, it's ugly and I will improve it eventually. |

Digit Span (DS)

Feature Location Description Notes
max_score Score Max difficulty successfully completed Score displayed to user
avg_score Legacy Raw Score Average difficulty of correctly answered problems
avg_ms_per_item Session Data Average (normalized) duration of each correctly answered question, where each question's duration is normalized by the number of items in the question. Have to Calcualte this feature from the JSON session data
num_errors Session Data Number of errors (should always be 3 for this test) Embedded in JSON - session_data['errorsMade']
num_correct Session Data Number of correctly answered problems Embedded in JSON - session_data['correctAnswers']
num_attempts Session Data Numer of attempted problems Calculated as # of errors + # of correct
duration_ms Session Data Total duration spent on this task Embedded in JSON - session_data['durationTimeSpan']
avg_ms_correct Session Data Average duration of correctly answered problems. Calculated from the list of session_data['questions']

Double Trouble (DT)

Feature Location Description Notes
final_score Score Final score - # of correct - # of incorrect Score displayed to user
pct_CC Legacy Raw Score - 1st number % correctly answered of questions in the CC condition (easiest) CC - the colors and words of prime (top word) and targets (bottom words) are all congruent
pct_CI Legacy Raw Score - 2nd number % correctly answered of questions in the CI condition CI - the prime is congruent, but targets are incongruent
pct_IC Legacy Raw Score - 3rd number % correctly answered of questions in the IC condition IC - the color of the prime is incongruent, but the targets congruent
pct_II Legacy Raw Score - 4th number % correctly answered of questions in the II condition (hardest) II - both targets and prime words are incongruent with the displayed color
RT_CC Legacy Raw Score - 5th number Average reaction time (ms) of CC problems Note: all 8 numbers in this Legacy Raw Score are separated by whitespace
RT_CI Legacy Raw Score - 6th number Average reaction time (ms) of CI problems
RT_IC Legacy Raw Score - 7th number Average reaction time (ms) of IC problems
RT_II Legacy Raw Score - 8th number Average reaction time (ms) of II problems
num_errors Session Data Number of errors (should always be 3 for this test) Embedded in JSON - session_data['errorsMade']
num_correct Session Data Number of correctly answered problems Embedded in JSON - session_data['correctAnswers']
num_attempts Session Data Numer of attempted problems Calculated as # of errors + # of correct
duration_ms Session Data Total duration spent on this task (Should be fixed at around 90000) Embedded in JSON - session_data['durationTimeSpan']
avg_ms_correct Session Data Average duration of correctly answered problems. Calculated from the list of session_data['questions']

Feature Match (FM)

Feature Location Description Notes
final_score Score Final score: sum of difficulties of correct answers - sum of difficulties of incorrect answers Score displayed to user
attempted Legacy Raw Score (text field) or Session Data # of attempted problems Parsed from text field
errors Legacy Raw Score (text field) or Session Data # of incorreclty answered problems Parsed from text field
max Legacy Raw Score (text field) Most difficutly problem answered correctly Parsed from text field
correct_score Legacy Raw Score (text field) Sum of all correctly answered problems (no subtraction for errors) Parsed from text field
num_errors Session Data Number of errors (should always be 3 for this test) Embedded in JSON - session_data['errorsMade']
num_correct Session Data Number of correctly answered problems Embedded in JSON - session_data['correctAnswers']
num_attempts Session Data Numer of attempted problems Calculated as # of errors + # of correct
duration_ms Session Data Total duration spent on this task (Should be fixed at around 300000) Embedded in JSON - session_data['durationTimeSpan']
avg_ms_correct Session Data Average duration of correctly answered problems. Calculated from the list of session_data['questions']

Grammatical Reasoning (GR)

Feature Location Description Notes
final_score Score Final score - # of correct - # of incorrect Score displayed to user
num_errors Session Data Number of errors (should always be 3 for this test) Embedded in JSON - session_data['errorsMade']
num_correct Session Data Number of correctly answered problems Embedded in JSON - session_data['correctAnswers']
num_attempts Session Data Numer of attempted problems Calculated as # of errors + # of correct
duration_ms Session Data Total duration spent on this task (Should be fixed at around 90000) Embedded in JSON - session_data['durationTimeSpan']
avg_ms_correct Session Data Average duration of correctly answered problems. Calculated from the list of session_data['questions']

Monkey Ladder (ML)

Feature Location Description Notes
max_score Score Max difficulty successfully completed Score displayed to user
avg_score Legacy Raw Score Average difficulty of correctly answered problems
avg_ms_per_item Session Data Average (normalized) duration of each correctly answered question, where each question's duration is normalized by the number of items in the question. Have to Calcualte this feature from the JSON session data
num_errors Session Data Number of errors (should always be 3 for this test) Embedded in JSON - session_data['errorsMade']
num_correct Session Data Number of correctly answered problems Embedded in JSON - session_data['correctAnswers']
num_attempts Session Data Numer of attempted problems Calculated as # of errors + # of correct
duration_ms Session Data Total duration spent on this task Embedded in JSON - session_data['durationTimeSpan']
avg_ms_correct Session Data Average duration of correctly answered problems. Calculated from the list of session_data['questions']

Odd One Out (OOO)

Feature Location Description Notes
final_score Score Final score: sum of difficulties of correct answers - sum of difficulties of incorrect answers Score displayed to user
attempted Legacy Raw Score (text field) or Session Data # of attempted problems Parsed from text field
errors Legacy Raw Score (text field) or Session Data # of incorreclty answered problems Parsed from text field
max Legacy Raw Score (text field) Most difficutly problem answered correctly Parsed from text field, USED FOR DOMAIN SCORE CALCULATIONS
num_errors Session Data Number of errors (should always be 3 for this test) Embedded in JSON - session_data['errorsMade']
num_correct Session Data Number of correctly answered problems Embedded in JSON - session_data['correctAnswers']
num_attempts Session Data Numer of attempted problems Calculated as # of errors + # of correct
duration_ms Session Data Total duration spent on this task (Should be ~180000) Embedded in JSON - session_data['durationTimeSpan']
avg_ms_correct Session Data Average duration of correctly answered problems. Calculated from the list of session_data['questions']

Paired Associates (PA)

Feature Location Description Notes
max_score Score Max difficulty successfully completed Score displayed to user
avg_score Legacy Raw Score Average difficulty of correctly answered problems
avg_ms_per_item Session Data Average (normalized) duration of each correctly answered question, where each question's duration is normalized by the number of items in the question. Have to Calcualte this feature from the JSON session data
num_errors Session Data Number of errors (should always be 3 for this test) Embedded in JSON - session_data['errorsMade']
num_correct Session Data Number of correctly answered problems Embedded in JSON - session_data['correctAnswers']
num_attempts Session Data Numer of attempted problems Calculated as # of errors + # of correct
duration_ms Session Data Total duration spent on this task Embedded in JSON - session_data['durationTimeSpan']
avg_ms_correct Session Data Average duration of correctly answered problems. Calculated from the list of session_data['questions']

Polygons (PO)

Feature Location Description Notes
final_score Score Final score: sum of difficulties of correct answers - sum of difficulties of incorrect answers Score displayed to user
num_errors Session Data Number of errors (should always be 3 for this test) Embedded in JSON - session_data['errorsMade']
num_correct Session Data Number of correctly answered problems Embedded in JSON - session_data['correctAnswers']
num_attempts Session Data Numer of attempted problems Calculated as # of errors + # of correct
duration_ms Session Data Total duration spent on this task (should be ~90000) Embedded in JSON - session_data['durationTimeSpan']
avg_ms_correct Session Data Average duration of correctly answered problems.

Rotations (RO)

Feature Location Description Notes
final_score Score Final score: sum of difficulties of correct answers - sum of difficulties of incorrect answers Score displayed to user
attempted Legacy Raw Score (text field) or Session Data # of attempted problems Parsed from text field
errors Legacy Raw Score (text field) or Session Data # of incorreclty answered problems Parsed from text field
max Legacy Raw Score (text field) Most difficutly problem answered correctly Parsed from text field
correct_score Legacy Raw Score (text field) Sum of all correctly answered problems (no subtraction for errors) Parsed from text field
num_errors Session Data Number of errors (should always be 3 for this test) Embedded in JSON - session_data['errorsMade']
num_correct Session Data Number of correctly answered problems Embedded in JSON - session_data['correctAnswers']
num_attempts Session Data Numer of attempted problems Calculated as # of errors + # of correct
duration_ms Session Data Total duration spent on this task (Should be fixed at around 300000) Embedded in JSON - session_data['durationTimeSpan']
avg_ms_correct Session Data Average duration of correctly answered problems.

Spatial Planning (SP)

Feature Location Description Notes
final_score Score Final score: sum of difficulties of correct answers Score displayed to user
num_errors Session Data Number of errors (should always be 3 for this test) Embedded in JSON - session_data['errorsMade']
num_correct Session Data Number of correctly answered problems Embedded in JSON - session_data['correctAnswers']
num_attempts Session Data Numer of attempted problems Calculated as # of errors + # of correct
duration_ms Session Data Total duration spent on this task (should be ~180000) Embedded in JSON - session_data['durationTimeSpan']
avg_ms_correct Session Data Average duration of correctly answered problems. Calculated from the list of session_data['questions']

Spatial Span (SS)

Feature Location Description Notes
max_score Score Max difficulty successfully completed Score displayed to user
avg_score Legacy Raw Score Average difficulty of correctly answered problems
avg_ms_per_item Session Data Average (normalized) duration of each correctly answered question, where each question's duration is normalized by the number of items in the question. Have to Calcualte this feature from the JSON session data
num_errors Session Data Number of errors (should always be 3 for this test) Embedded in JSON - session_data['errorsMade']
num_correct Session Data Number of correctly answered problems Embedded in JSON - session_data['correctAnswers']
num_attempts Session Data Numer of attempted problems Calculated as # of errors + # of correct
duration_ms Session Data Total duration spent on this task Embedded in JSON - session_data['durationTimeSpan']
avg_ms_correct Session Data Average duration of correctly answered problems. Calculated from the list of session_data['questions']

Token Search (TS)

Feature Location Description Notes
max_score Score Max difficulty successfully completed Score displayed to user
avg_score Legacy Raw Score Average difficulty of correctly answered problems
avg_ms_per_item Session Data Average (normalized) duration of each correctly answered question, where each question's duration is normalized by the number of items in the question. Have to Calcualte this feature from the JSON session data
num_errors Session Data Number of errors (should always be 3 for this test) Embedded in JSON - session_data['errorsMade']
num_correct Session Data Number of correctly answered problems Embedded in JSON - session_data['correctAnswers']
num_attempts Session Data Numer of attempted problems Calculated as # of errors + # of correct
duration_ms Session Data Total duration spent on this task Embedded in JSON - session_data['durationTimeSpan']
avg_ms_correct Session Data Average duration of correctly answered problems. Calculated from the list of session_data['questions']

Notes

  • I used this to convert the csv table to markdown.

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