Winsteps Jobs
Queue Winsteps batch runs for the worker process. The worker
(Emerald.Worker) must be running on a machine with Winsteps
installed — it picks jobs up from the shared queue within a few seconds.
Required. Every control file in the job runs on this version.
Job history
| Created (local) | Type | Status | Detail |
|---|---|---|---|
| 2026-10-19 18:53:13 | CleanDataBatch | Succeeded | All 5 course(s) cleanedUNPACK: DoRExtract_Mock_December_EOC_Algebra1_9-10-2026_9_20_03AM already unpacked — skipped UNPACK: DoRExtract_Mock_December_EOC_Biology_9-10-2026_9_20_50AM already unpacked — skipped UNPACK: DoRExtract_Mock_December_EOC_English1_9-10-2026_9_21_39AM already unpacked — skipped UNPACK: DoRExtract_Mock_December_EOC_English2_9-10-2026_9_22_36AM already unpacked — skipped UNPACK: DoRExtract_Mock_December_EOC_USHistory_9-10-2026_9_23_34AM already unpacked — skipped UNPACK: 0 package(s) unpacked, 5 already present → C:\Users\emeraldadmin\EdMetric\Emerald Data - Documents\Emerald Dev\Contract Data\2026\TX\Edmetric\December EOC\DoR Extracts 5 extract(s) to clean (EOC, Production; admin token per extract date) [Algebra 1] > Build input and output file paths [Algebra 1] > Read item data flat (text) file [Algebra 1] 550673 item record(s) [Algebra 1] > Read student data flat (text) file [Algebra 1] 11015 student record(s) [Algebra 1] > Filter valid student cases [Algebra 1] filter CALCULATED_SCORE_CODE_VALUE (keep): 11013 record(s) remain [Algebra 1] filter status (keep): 11013 record(s) remain [Algebra 1] filter Overall_Attemptedness (keep): 11013 record(s) remain [Algebra 1] filter RTS_REGION_EXTERNALID (keep): 0 record(s) remain [Algebra 1] filter RTS_EnrlGrdCd (drop): 0 record(s) remain [Algebra 1] filter isDemo (keep): 0 record(s) remain [Algebra 1] filter segment_1_formID (keep): 0 record(s) remain [Algebra 1] > Filter dropped students [Algebra 1] 0 student record(s) remain [Algebra 1] > Remove embedded field test item records [Algebra 1] 0 operational item record(s) remain [Algebra 1] > Sort item records by oppID [Algebra 1] > Rescore some item records [Algebra 1] > Rescore visited, unselected item records with no score to 0 [Algebra 1] 0 item record(s) recoded to 0 [Algebra 1] > Rescore handscored items with condition codes to 0 [Algebra 1] > Reshape item data from long to wide [Algebra 1] 0 student(s) x 0 item(s) [Algebra 1] > Build and write item bank CSV [Algebra 1] 0 item bank row(s) written [Algebra 1] > Pad RecordIDs to width 10 and sort students by RecordID [Algebra 1] > Rescore NA item score values and convert to character [Algebra 1] > Convert each record to a character scalar [Algebra 1] > Write Winsteps data file [Algebra 1] > Write item list file [Algebra 1] > DONE OK: Algebra 1 — 0 of 11015 student(s) kept, 0 item(s), STAAR_December2026_Mathematics_Algebra1_Operational_data_rep1.dat in 3.1s [Algebra 1] STAAR_December2026_Mathematics_Algebra1_Operational_itemList.csv: 0 item(s) [Algebra 1] WARNING: Operational.csv from an earlier run differs from STAAR_December2026_Mathematics_Algebra1_Operational_itemList.csv — carry any REM marks into the new list and delete Operational.csv, or stage 1 will stop. PLACED: Algebra 1 → Algebra1\ (5 file(s): STAAR_December2026_Mathematics_Algebra1_Operational_data_rep1.dat, STAAR_December2026_Mathematics_Algebra1_Operational_data_rep1.list, STAAR_December2026_Mathematics_Algebra1_Operational_data_rep1.csv, ItemBank_DoRExtract_Mock_December_EOC_Algebra1_9-10-2026_9_20_03AM.xlsx, STAAR_December2026_Mathematics_Algebra1_Operational_itemList.csv) [Biology] > Build input and output file paths [Biology] > Read item data flat (text) file [Biology] 363495 item record(s) [Biology] > Read student data flat (text) file [Biology] 11015 student record(s) [Biology] > Filter valid student cases [Biology] filter CALCULATED_SCORE_CODE_VALUE (keep): 11012 record(s) remain [Biology] filter status (keep): 11012 record(s) remain [Biology] filter Overall_Attemptedness (keep): 11005 record(s) remain [Biology] filter RTS_REGION_EXTERNALID (keep): 0 record(s) remain [Biology] filter RTS_EnrlGrdCd (drop): 0 record(s) remain [Biology] filter isDemo (keep): 0 record(s) remain [Biology] filter segment_1_formID (keep): 0 record(s) remain [Biology] > Filter dropped students [Biology] 0 student record(s) remain [Biology] > Remove embedded field test item records [Biology] 0 operational item record(s) remain [Biology] > Sort item records by oppID [Biology] > Rescore some item records [Biology] > Rescore visited, unselected item records with no score to 0 [Biology] 0 item record(s) recoded to 0 [Biology] > Rescore handscored items with condition codes to 0 [Biology] > Reshape item data from long to wide [Biology] 0 student(s) x 0 item(s) [Biology] > Build and write item bank CSV [Biology] 0 item bank row(s) written [Biology] > Pad RecordIDs to width 10 and sort students by RecordID [Biology] > Rescore NA item score values and convert to character [Biology] > Convert each record to a character scalar [Biology] > Write Winsteps data file [Biology] > Write item list file [Biology] > DONE OK: Biology — 0 of 11015 student(s) kept, 0 item(s), STAAR_December2026_Science_Biology_Operational_data_rep1.dat in 3.8s [Biology] STAAR_December2026_Science_Biology_Operational_itemList.csv: 0 item(s) [Biology] WARNING: Operational.csv from an earlier run differs from STAAR_December2026_Science_Biology_Operational_itemList.csv — carry any REM marks into the new list and delete Operational.csv, or stage 1 will stop. PLACED: Biology → Biology\ (5 file(s): STAAR_December2026_Science_Biology_Operational_data_rep1.dat, STAAR_December2026_Science_Biology_Operational_data_rep1.list, STAAR_December2026_Science_Biology_Operational_data_rep1.csv, ItemBank_DoRExtract_Mock_December_EOC_Biology_9-10-2026_9_20_50AM.xlsx, STAAR_December2026_Science_Biology_Operational_itemList.csv) [English 1] > Build input and output file paths [English 1] ECR item detected from the item bank: 107727 [English 1] > Read item data flat (text) file [English 1] 599196 item record(s) [English 1] > Read student data flat (text) file [English 1] 11523 student record(s) [English 1] > Filter valid student cases [English 1] filter CALCULATED_SCORE_CODE_VALUE (keep): 11522 record(s) remain [English 1] filter status (keep): 11522 record(s) remain [English 1] filter Overall_Attemptedness (keep): 11520 record(s) remain [English 1] filter RTS_REGION_EXTERNALID (keep): 0 record(s) remain [English 1] filter CALCULATED_DISCREPANT (drop): 0 record(s) remain [English 1] filter RTS_EnrlGrdCd (drop): 0 record(s) remain [English 1] filter isDemo (keep): 0 record(s) remain [English 1] filter segment_1_formID (keep): 0 record(s) remain [English 1] > Filter dropped students [English 1] 0 student record(s) remain [English 1] > Filter students with blank ECR condition codes [English 1] 2 student(s) dropped; 0 remain [English 1] > Drop students whose ECR was not administered (numVisits = 0 and score = -1) [English 1] 0 student(s) dropped; 0 remain [English 1] > Filter students without ECR item records [English 1] 0 student record(s) remain [English 1] > Remove embedded field test item records [English 1] 0 operational item record(s) remain [English 1] > Sort item records by oppID [English 1] > Rescore some item records [English 1] > Rescore visited, unselected item records with no score to 0 [English 1] 0 item record(s) recoded to 0 [English 1] > Rescore handscored items with condition codes to 0 [English 1] > Reshape item data from long to wide [English 1] 0 student(s) x 0 item(s) [English 1] > Build and write item bank CSV [English 1] 0 item bank row(s) written [English 1] > Pad RecordIDs to width 10 and sort students by RecordID [English 1] > Rescore NA item score values and convert to character [English 1] > Convert each record to a character scalar [English 1] > Write Winsteps data file [English 1] > Write item list file [English 1] > DONE OK: English 1 — 0 of 11523 student(s) kept, 0 item(s), STAAR_December2026_RLA_English1_Operational_data_rep1.dat in 10.4s [English 1] WARNING: STAAR_December2026_RLA_English1_Operational_itemList.csv not written — English 1: expected exactly one extended constructed response item (ScorePoint ≥ 5) in STAAR_December2026_RLA_English1_Operational_data_rep1.csv, found 0 PLACED: English 1 → English1\ (4 file(s): STAAR_December2026_RLA_English1_Operational_data_rep1.dat, STAAR_December2026_RLA_English1_Operational_data_rep1.list, STAAR_December2026_RLA_English1_Operational_data_rep1.csv, ItemBank_DoRExtract_Mock_December_EOC_English1_9-10-2026_9_21_39AM.xlsx) [English 2] > Build input and output file paths [English 2] ECR item detected from the item bank: 107801 [English 2] > Read item data flat (text) file [English 2] 599352 item record(s) [English 2] > Read student data flat (text) file [English 2] 11526 student record(s) [English 2] > Filter valid student cases [English 2] filter CALCULATED_SCORE_CODE_VALUE (keep): 11525 record(s) remain [English 2] filter status (keep): 11524 record(s) remain [English 2] filter Overall_Attemptedness (keep): 11512 record(s) remain [English 2] filter RTS_REGION_EXTERNALID (keep): 0 record(s) remain [English 2] filter RTS_EnrlGrdCd (drop): 0 record(s) remain [English 2] filter isDemo (keep): 0 record(s) remain [English 2] filter segment_1_formID (keep): 0 record(s) remain [English 2] > Filter dropped students [English 2] 0 student record(s) remain [English 2] > Filter students with blank ECR condition codes [English 2] 1 student(s) dropped; 0 remain [English 2] > Drop students whose ECR was not administered (numVisits = 0 and score = -1) [English 2] 0 student(s) dropped; 0 remain [English 2] > Filter students without ECR item records [English 2] 0 student record(s) remain [English 2] > Remove embedded field test item records [English 2] 0 operational item record(s) remain [English 2] > Sort item records by oppID [English 2] > Rescore some item records [English 2] > Rescore visited, unselected item records with no score to 0 [English 2] 0 item record(s) recoded to 0 [English 2] > Rescore handscored items with condition codes to 0 [English 2] > Reshape item data from long to wide [English 2] 0 student(s) x 0 item(s) [English 2] > Build and write item bank CSV [English 2] 0 item bank row(s) written [English 2] > Pad RecordIDs to width 10 and sort students by RecordID [English 2] > Rescore NA item score values and convert to character [English 2] > Convert each record to a character scalar [English 2] > Write Winsteps data file [English 2] > Write item list file [English 2] > DONE OK: English 2 — 0 of 11526 student(s) kept, 0 item(s), STAAR_December2026_RLA_English2_Operational_data_rep1.dat in 10.7s [English 2] WARNING: STAAR_December2026_RLA_English2_Operational_itemList.csv not written — English 2: expected exactly one extended constructed response item (ScorePoint ≥ 5) in STAAR_December2026_RLA_English2_Operational_data_rep1.csv, found 0 PLACED: English 2 → English2\ (4 file(s): STAAR_December2026_RLA_English2_Operational_data_rep1.dat, STAAR_December2026_RLA_English2_Operational_data_rep1.list, STAAR_December2026_RLA_English2_Operational_data_rep1.csv, ItemBank_DoRExtract_Mock_December_EOC_English2_9-10-2026_9_22_36AM.xlsx) [USH] > Build input and output file paths [USH] > Read item data flat (text) file [USH] 736896 item record(s) [USH] > Read student data flat (text) file [USH] 11514 student record(s) [USH] > Filter valid student cases [USH] filter CALCULATED_SCORE_CODE_VALUE (keep): 11514 record(s) remain [USH] filter status (keep): 11514 record(s) remain [USH] filter Overall_Attemptedness (keep): 11507 record(s) remain [USH] filter RTS_REGION_EXTERNALID (keep): 0 record(s) remain [USH] filter RTS_EnrlGrdCd (drop): 0 record(s) remain [USH] filter isDemo (keep): 0 record(s) remain [USH] filter segment_1_formID (keep): 0 record(s) remain [USH] > Filter dropped students [USH] 0 student record(s) remain [USH] > Remove Civics segment item records [USH] 0 Civics item record(s) removed [USH] > Remove embedded field test item records [USH] 0 operational item record(s) remain [USH] > Sort item records by oppID [USH] > Rescore some item records [USH] > Rescore visited, unselected item records with no score to 0 [USH] 0 item record(s) recoded to 0 [USH] > Rescore handscored items with condition codes to 0 [USH] > Reshape item data from long to wide [USH] 0 student(s) x 0 item(s) [USH] > Build and write item bank CSV [USH] 0 item bank row(s) written [USH] > Pad RecordIDs to width 10 and sort students by RecordID [USH] > Rescore NA item score values and convert to character [USH] > Convert each record to a character scalar [USH] > Write Winsteps data file [USH] > Write item list file [USH] > DONE OK: USH — 0 of 11514 student(s) kept, 0 item(s), STAAR_December2026_Social Studies_USHistory_Operational_data_rep1.dat in 7.2s [USH] STAAR_December2026_Social Studies_USHistory_Operational_itemList.csv: 0 item(s) [USH] WARNING: Operational.csv from an earlier run differs from STAAR_December2026_Social Studies_USHistory_Operational_itemList.csv — carry any REM marks into the new list and delete Operational.csv, or stage 1 will stop. PLACED: USH → USHistory\ (5 file(s): STAAR_December2026_Social Studies_USHistory_Operational_data_rep1.dat, STAAR_December2026_Social Studies_USHistory_Operational_data_rep1.list, STAAR_December2026_Social Studies_USHistory_Operational_data_rep1.csv, ItemBank_DoRExtract_Mock_December_EOC_USHistory_9-10-2026_9_23_34AM.xlsx, STAAR_December2026_Social Studies_USHistory_Operational_itemList.csv) All 5 course(s) cleaned |
| 2026-10-19 14:41:04 | CleanDataBatch | Succeeded | All 5 course(s) cleanedUNPACK: DoRExtract_Mock_December_EOC_Algebra1_9-10-2026_9_20_03AM already unpacked — skipped UNPACK: DoRExtract_Mock_December_EOC_Biology_9-10-2026_9_20_50AM already unpacked — skipped UNPACK: DoRExtract_Mock_December_EOC_English1_9-10-2026_9_21_39AM already unpacked — skipped UNPACK: DoRExtract_Mock_December_EOC_English2_9-10-2026_9_22_36AM already unpacked — skipped UNPACK: DoRExtract_Mock_December_EOC_USHistory_9-10-2026_9_23_34AM already unpacked — skipped UNPACK: 0 package(s) unpacked, 5 already present → C:\Users\emeraldadmin\EdMetric\Emerald Data - Documents\Emerald Dev\Contract Data\2026\TX\Edmetric\December EOC\DoR Extracts 5 extract(s) to clean (EOC, Production; admin token per extract date) [Algebra 1] > Build input and output file paths [Algebra 1] > Read item data flat (text) file [Algebra 1] 550673 item record(s) [Algebra 1] > Read student data flat (text) file [Algebra 1] 11015 student record(s) [Algebra 1] > Filter valid student cases [Algebra 1] filter CALCULATED_SCORE_CODE_VALUE (keep): 11013 record(s) remain [Algebra 1] filter status (keep): 11013 record(s) remain [Algebra 1] filter Overall_Attemptedness (keep): 11013 record(s) remain [Algebra 1] filter RTS_REGION_EXTERNALID (keep): 0 record(s) remain [Algebra 1] filter RTS_EnrlGrdCd (drop): 0 record(s) remain [Algebra 1] filter isDemo (keep): 0 record(s) remain [Algebra 1] filter segment_1_formID (keep): 0 record(s) remain [Algebra 1] > Filter dropped students [Algebra 1] 0 student record(s) remain [Algebra 1] > Remove embedded field test item records [Algebra 1] 0 operational item record(s) remain [Algebra 1] > Sort item records by oppID [Algebra 1] > Rescore some item records [Algebra 1] > Rescore visited, unselected item records with no score to 0 [Algebra 1] 0 item record(s) recoded to 0 [Algebra 1] > Rescore handscored items with condition codes to 0 [Algebra 1] > Reshape item data from long to wide [Algebra 1] 0 student(s) x 0 item(s) [Algebra 1] > Build and write item bank CSV [Algebra 1] 0 item bank row(s) written [Algebra 1] > Pad RecordIDs to width 10 and sort students by RecordID [Algebra 1] > Rescore NA item score values and convert to character [Algebra 1] > Convert each record to a character scalar [Algebra 1] > Write Winsteps data file [Algebra 1] > Write item list file [Algebra 1] > DONE OK: Algebra 1 — 0 of 11015 student(s) kept, 0 item(s), STAAR_December2026_Mathematics_Algebra1_Operational_data_rep1.dat in 18.5s [Algebra 1] removed stale cleaned data STAAR_Dec26_Algebra1_Operational_data_rep1.csv [Algebra 1] removed stale cleaned data STAAR_Dec26_Algebra1_Operational_data_rep1.dat [Algebra 1] removed stale cleaned data STAAR_Dec26_Algebra1_Operational_data_rep1.list [Algebra 1] STAAR_December2026_Mathematics_Algebra1_Operational_itemList.csv: 0 item(s) [Algebra 1] WARNING: Operational.csv from an earlier run differs from STAAR_December2026_Mathematics_Algebra1_Operational_itemList.csv — carry any REM marks into the new list and delete Operational.csv, or stage 1 will stop. PLACED: Algebra 1 → Algebra1\ (5 file(s): STAAR_December2026_Mathematics_Algebra1_Operational_data_rep1.dat, STAAR_December2026_Mathematics_Algebra1_Operational_data_rep1.list, STAAR_December2026_Mathematics_Algebra1_Operational_data_rep1.csv, ItemBank_DoRExtract_Mock_December_EOC_Algebra1_9-10-2026_9_20_03AM.xlsx, STAAR_December2026_Mathematics_Algebra1_Operational_itemList.csv) [Biology] > Build input and output file paths [Biology] > Read item data flat (text) file [Biology] 363495 item record(s) [Biology] > Read student data flat (text) file [Biology] 11015 student record(s) [Biology] > Filter valid student cases [Biology] filter CALCULATED_SCORE_CODE_VALUE (keep): 11012 record(s) remain [Biology] filter status (keep): 11012 record(s) remain [Biology] filter Overall_Attemptedness (keep): 11005 record(s) remain [Biology] filter RTS_REGION_EXTERNALID (keep): 0 record(s) remain [Biology] filter RTS_EnrlGrdCd (drop): 0 record(s) remain [Biology] filter isDemo (keep): 0 record(s) remain [Biology] filter segment_1_formID (keep): 0 record(s) remain [Biology] > Filter dropped students [Biology] 0 student record(s) remain [Biology] > Remove embedded field test item records [Biology] 0 operational item record(s) remain [Biology] > Sort item records by oppID [Biology] > Rescore some item records [Biology] > Rescore visited, unselected item records with no score to 0 [Biology] 0 item record(s) recoded to 0 [Biology] > Rescore handscored items with condition codes to 0 [Biology] > Reshape item data from long to wide [Biology] 0 student(s) x 0 item(s) [Biology] > Build and write item bank CSV [Biology] 0 item bank row(s) written [Biology] > Pad RecordIDs to width 10 and sort students by RecordID [Biology] > Rescore NA item score values and convert to character [Biology] > Convert each record to a character scalar [Biology] > Write Winsteps data file [Biology] > Write item list file [Biology] > DONE OK: Biology — 0 of 11015 student(s) kept, 0 item(s), STAAR_December2026_Science_Biology_Operational_data_rep1.dat in 16.1s [Biology] removed stale cleaned data STAAR_Dec26_Biology_Operational_data_rep1.csv [Biology] removed stale cleaned data STAAR_Dec26_Biology_Operational_data_rep1.dat [Biology] removed stale cleaned data STAAR_Dec26_Biology_Operational_data_rep1.list [Biology] STAAR_December2026_Science_Biology_Operational_itemList.csv: 0 item(s) [Biology] WARNING: Operational.csv from an earlier run differs from STAAR_December2026_Science_Biology_Operational_itemList.csv — carry any REM marks into the new list and delete Operational.csv, or stage 1 will stop. PLACED: Biology → Biology\ (5 file(s): STAAR_December2026_Science_Biology_Operational_data_rep1.dat, STAAR_December2026_Science_Biology_Operational_data_rep1.list, STAAR_December2026_Science_Biology_Operational_data_rep1.csv, ItemBank_DoRExtract_Mock_December_EOC_Biology_9-10-2026_9_20_50AM.xlsx, STAAR_December2026_Science_Biology_Operational_itemList.csv) [English 1] > Build input and output file paths [English 1] ECR item detected from the item bank: 107727 [English 1] > Read item data flat (text) file [English 1] 599196 item record(s) [English 1] > Read student data flat (text) file [English 1] 11523 student record(s) [English 1] > Filter valid student cases [English 1] filter CALCULATED_SCORE_CODE_VALUE (keep): 11522 record(s) remain [English 1] filter status (keep): 11522 record(s) remain [English 1] filter Overall_Attemptedness (keep): 11520 record(s) remain [English 1] filter RTS_REGION_EXTERNALID (keep): 0 record(s) remain [English 1] filter CALCULATED_DISCREPANT (drop): 0 record(s) remain [English 1] filter RTS_EnrlGrdCd (drop): 0 record(s) remain [English 1] filter isDemo (keep): 0 record(s) remain [English 1] filter segment_1_formID (keep): 0 record(s) remain [English 1] > Filter dropped students [English 1] 0 student record(s) remain [English 1] > Filter students with blank ECR condition codes [English 1] 2 student(s) dropped; 0 remain [English 1] > Drop students whose ECR was not administered (numVisits = 0 and score = -1) [English 1] 0 student(s) dropped; 0 remain [English 1] > Filter students without ECR item records [English 1] 0 student record(s) remain [English 1] > Remove embedded field test item records [English 1] 0 operational item record(s) remain [English 1] > Sort item records by oppID [English 1] > Rescore some item records [English 1] > Rescore visited, unselected item records with no score to 0 [English 1] 0 item record(s) recoded to 0 [English 1] > Rescore handscored items with condition codes to 0 [English 1] > Reshape item data from long to wide [English 1] 0 student(s) x 0 item(s) [English 1] > Build and write item bank CSV [English 1] 0 item bank row(s) written [English 1] > Pad RecordIDs to width 10 and sort students by RecordID [English 1] > Rescore NA item score values and convert to character [English 1] > Convert each record to a character scalar [English 1] > Write Winsteps data file [English 1] > Write item list file [English 1] > DONE OK: English 1 — 0 of 11523 student(s) kept, 0 item(s), STAAR_December2026_RLA_English1_Operational_data_rep1.dat in 50.9s [English 1] removed stale cleaned data STAAR_Dec26_English1_Operational_data_rep1.csv [English 1] removed stale cleaned data STAAR_Dec26_English1_Operational_data_rep1.dat [English 1] removed stale cleaned data STAAR_Dec26_English1_Operational_data_rep1.list [English 1] WARNING: STAAR_December2026_RLA_English1_Operational_itemList.csv not written — English 1: expected exactly one extended constructed response item (ScorePoint ≥ 5) in STAAR_December2026_RLA_English1_Operational_data_rep1.csv, found 0 PLACED: English 1 → English1\ (4 file(s): STAAR_December2026_RLA_English1_Operational_data_rep1.dat, STAAR_December2026_RLA_English1_Operational_data_rep1.list, STAAR_December2026_RLA_English1_Operational_data_rep1.csv, ItemBank_DoRExtract_Mock_December_EOC_English1_9-10-2026_9_21_39AM.xlsx) [English 2] > Build input and output file paths [English 2] ECR item detected from the item bank: 107801 [English 2] > Read item data flat (text) file [English 2] 599352 item record(s) [English 2] > Read student data flat (text) file [English 2] 11526 student record(s) [English 2] > Filter valid student cases [English 2] filter CALCULATED_SCORE_CODE_VALUE (keep): 11525 record(s) remain [English 2] filter status (keep): 11524 record(s) remain [English 2] filter Overall_Attemptedness (keep): 11512 record(s) remain [English 2] filter RTS_REGION_EXTERNALID (keep): 0 record(s) remain [English 2] filter RTS_EnrlGrdCd (drop): 0 record(s) remain [English 2] filter isDemo (keep): 0 record(s) remain [English 2] filter segment_1_formID (keep): 0 record(s) remain [English 2] > Filter dropped students [English 2] 0 student record(s) remain [English 2] > Filter students with blank ECR condition codes [English 2] 1 student(s) dropped; 0 remain [English 2] > Drop students whose ECR was not administered (numVisits = 0 and score = -1) [English 2] 0 student(s) dropped; 0 remain [English 2] > Filter students without ECR item records [English 2] 0 student record(s) remain [English 2] > Remove embedded field test item records [English 2] 0 operational item record(s) remain [English 2] > Sort item records by oppID [English 2] > Rescore some item records [English 2] > Rescore visited, unselected item records with no score to 0 [English 2] 0 item record(s) recoded to 0 [English 2] > Rescore handscored items with condition codes to 0 [English 2] > Reshape item data from long to wide [English 2] 0 student(s) x 0 item(s) [English 2] > Build and write item bank CSV [English 2] 0 item bank row(s) written [English 2] > Pad RecordIDs to width 10 and sort students by RecordID [English 2] > Rescore NA item score values and convert to character [English 2] > Convert each record to a character scalar [English 2] > Write Winsteps data file [English 2] > Write item list file [English 2] > DONE OK: English 2 — 0 of 11526 student(s) kept, 0 item(s), STAAR_December2026_RLA_English2_Operational_data_rep1.dat in 46.3s [English 2] removed stale cleaned data STAAR_Dec26_English2_Operational_data_rep1.csv [English 2] removed stale cleaned data STAAR_Dec26_English2_Operational_data_rep1.dat [English 2] removed stale cleaned data STAAR_Dec26_English2_Operational_data_rep1.list [English 2] WARNING: STAAR_December2026_RLA_English2_Operational_itemList.csv not written — English 2: expected exactly one extended constructed response item (ScorePoint ≥ 5) in STAAR_December2026_RLA_English2_Operational_data_rep1.csv, found 0 PLACED: English 2 → English2\ (4 file(s): STAAR_December2026_RLA_English2_Operational_data_rep1.dat, STAAR_December2026_RLA_English2_Operational_data_rep1.list, STAAR_December2026_RLA_English2_Operational_data_rep1.csv, ItemBank_DoRExtract_Mock_December_EOC_English2_9-10-2026_9_22_36AM.xlsx) [USH] > Build input and output file paths [USH] > Read item data flat (text) file [USH] 736896 item record(s) [USH] > Read student data flat (text) file [USH] 11514 student record(s) [USH] > Filter valid student cases [USH] filter CALCULATED_SCORE_CODE_VALUE (keep): 11514 record(s) remain [USH] filter status (keep): 11514 record(s) remain [USH] filter Overall_Attemptedness (keep): 11507 record(s) remain [USH] filter RTS_REGION_EXTERNALID (keep): 0 record(s) remain [USH] filter RTS_EnrlGrdCd (drop): 0 record(s) remain [USH] filter isDemo (keep): 0 record(s) remain [USH] filter segment_1_formID (keep): 0 record(s) remain [USH] > Filter dropped students [USH] 0 student record(s) remain [USH] > Remove Civics segment item records [USH] 0 Civics item record(s) removed [USH] > Remove embedded field test item records [USH] 0 operational item record(s) remain [USH] > Sort item records by oppID [USH] > Rescore some item records [USH] > Rescore visited, unselected item records with no score to 0 [USH] 0 item record(s) recoded to 0 [USH] > Rescore handscored items with condition codes to 0 [USH] > Reshape item data from long to wide [USH] 0 student(s) x 0 item(s) [USH] > Build and write item bank CSV [USH] 0 item bank row(s) written [USH] > Pad RecordIDs to width 10 and sort students by RecordID [USH] > Rescore NA item score values and convert to character [USH] > Convert each record to a character scalar [USH] > Write Winsteps data file [USH] > Write item list file [USH] > DONE OK: USH — 0 of 11514 student(s) kept, 0 item(s), STAAR_December2026_Social Studies_USHistory_Operational_data_rep1.dat in 28.9s [USH] removed stale cleaned data STAAR_Dec26_USHistory_Operational_data_rep1.csv [USH] removed stale cleaned data STAAR_Dec26_USHistory_Operational_data_rep1.dat [USH] removed stale cleaned data STAAR_Dec26_USHistory_Operational_data_rep1.list [USH] STAAR_December2026_Social Studies_USHistory_Operational_itemList.csv: 0 item(s) [USH] WARNING: Operational.csv from an earlier run differs from STAAR_December2026_Social Studies_USHistory_Operational_itemList.csv — carry any REM marks into the new list and delete Operational.csv, or stage 1 will stop. PLACED: USH → USHistory\ (5 file(s): STAAR_December2026_Social Studies_USHistory_Operational_data_rep1.dat, STAAR_December2026_Social Studies_USHistory_Operational_data_rep1.list, STAAR_December2026_Social Studies_USHistory_Operational_data_rep1.csv, ItemBank_DoRExtract_Mock_December_EOC_USHistory_9-10-2026_9_23_34AM.xlsx, STAAR_December2026_Social Studies_USHistory_Operational_itemList.csv) All 5 course(s) cleaned |