# EDPSYCH 871: Item Response Theory Methods and Applications | UW–Madison [View on UW Courses](https://uwcourses.com/courses/EDPSYCH_871) ## Dataset ### revision e243353dcb7d79b7247ced91d69443ef4c2a6349 ### repository twangodev/uwcourses ### schema version 6 ### importer version 7 ### projection id 52a78527ff09011d88cb04c7d43867d9fbfec2930bf1dd2ec359ebd2844e0b07 ### observed at 2026-09-07T15:55:43.033547+00:00 ### built at 2026-09-10T19:50:42.743001+00:00 ### courses 8951 ### current instructors 5754 ### limited false ### terms * 1272 * 1264 * 1262 * 1254 * 1252 * 1244 * 1242 * 1234 * 1232 * 1224 * 1222 * 1212 * 1204 * 1202 * 1194 * 1192 * 1184 * 1182 * 1174 * 1172 * 1164 * 1162 * 1154 * 1152 * 1144 * 1142 * 1134 * 1132 * 1124 * 1122 * 1114 * 1112 * 1104 * 1102 * 1094 * 1092 * 1084 * 1082 * 1074 * 1072 ### term 1272 ### departments | subject | count | | --------- | ----- | | AAE | 90 | | ABT | 20 | | ACCTIS | 36 | | ACTSCI | 14 | | AFAERO | 10 | | AFRICAN | 87 | | AFROAMER | 71 | | AGROECOL | 21 | | AMERIND | 53 | | ANAT\&PHY | 7 | | ANATOMY | 2 | | ANESTHES | 8 | | ANSCI | 57 | | ANTHRO | 95 | | ART | 125 | | ARTED | 10 | | ARTHIST | 121 | | ASIALANG | 129 | | ASIAN | 109 | | ASIANAM | 28 | | ASTRON | 38 | | ATMOCN | 69 | | BIOCHEM | 51 | | BIOCORE | 10 | | BIOLOGY | 14 | | BIOMDSCI | 18 | | BME | 66 | | BMI | 41 | | BMOLCHEM | 10 | | BOTANY | 69 | | BSE | 44 | | C\&ESOC | 73 | | CBE | 48 | | CHEM | 101 | | CHICLA | 52 | | CIVENGR | 133 | | CLASSICS | 47 | | CNP | 10 | | CNSRSCI | 50 | | COMARTS | 137 | | COMPBIO | 15 | | COMPLIT | 11 | | COMPSCI | 138 | | COUNPSY | 78 | | CRB | 19 | | CS\&D | 71 | | CSCS | 40 | | CURRIC | 193 | | DANCE | 93 | | DERM | 8 | | DS | 88 | | DYSCI | 35 | | ECE | 155 | | ECON | 145 | | EDPOL | 114 | | EDPSYCH | 97 | | ELPA | 70 | | EMA | 53 | | EMERMED | 17 | | ENGL | 206 | | ENTOM | 40 | | ENVIRST | 148 | | EP | 15 | | EPD | 67 | | ESL | 16 | | F\&WECOL | 60 | | FAMMED | 22 | | FINANCE | 50 | | FOLKLORE | 40 | | FOODSCI | 43 | | FRENCH | 63 | | GEN\&WS | 145 | | GENBUS | 72 | | GENECSLR | 17 | | GENETICS | 60 | | GEOG | 113 | | GEOSCI | 83 | | GERMAN | 82 | | GLE | 48 | | GNS | 38 | | GREEK | 27 | | HDFS | 41 | | HEBR-BIB | 13 | | HEBR-MOD | 10 | | HISTORY | 233 | | HISTSCI | 56 | | HONCOL | 13 | | ILS | 43 | | INFOSYS | 9 | | INTEGART | 7 | | INTEGSCI | 22 | | INTER-AG | 18 | | INTER-HE | 11 | | INTER-LS | 22 | | INTEREGR | 16 | | INTLBUS | 21 | | INTLST | 50 | | ISYE | 83 | | ITALIAN | 53 | | JEWISH | 56 | | JOURN | 88 | | KINES | 128 | | LACIS | 26 | | LANDARC | 61 | | LATIN | 24 | | LAW | 120 | | LEGALST | 48 | | LINGUIS | 35 | | LIS | 89 | | LITTRANS | 78 | | LSC | 52 | | M\&ENVTOX | 7 | | MARKETNG | 62 | | MATH | 153 | | MDGENET | 8 | | ME | 130 | | MEDHIST | 43 | | MEDICINE | 60 | | MEDIEVAL | 32 | | MEDPHYS | 39 | | MEDSC-M | 29 | | MEDSC-V | 41 | | MHR | 68 | | MICROBIO | 45 | | MILSCI | 16 | | MM\&I | 22 | | MOLBIOL | 6 | | MS\&E | 59 | | MUSIC | 165 | | MUSPERF | 126 | | NAVSCI | 20 | | NE | 44 | | NEURODPT | 11 | | NEUROL | 7 | | NEURSURG | 4 | | NTP | 11 | | NURSING | 111 | | NUTRSCI | 65 | | OBS\&GYN | 18 | | OCCTHER | 39 | | ONCOLOGY | 14 | | OPHTHALM | 5 | | OTM | 43 | | PATH | 34 | | PATH-BIO | 29 | | PEDIAT | 26 | | PHARMACY | 31 | | PHILOS | 77 | | PHMCOL-M | 11 | | PHMPRAC | 45 | | PHMSCI | 60 | | PHYASST | 37 | | PHYSICS | 88 | | PHYSIOL | 3 | | PHYTHER | 37 | | PLANTSCI | 52 | | PLPATH | 35 | | POLISCI | 192 | | POPHLTH | 58 | | PORTUG | 33 | | PSYCH | 101 | | PSYCHIAT | 22 | | PUBAFFR | 54 | | PUBLHLTH | 23 | | RADIOL | 11 | | REALEST | 41 | | RELIGST | 90 | | RHABMED | 9 | | RMI | 24 | | RP\&SE | 102 | | S\&APHM | 17 | | SCANDST | 73 | | SLAVIC | 89 | | SOC | 149 | | SOCWORK | 87 | | SOILSCI | 46 | | SPANISH | 83 | | SRMED | 21 | | STAT | 94 | | STDYABRD | 52 | | STS | 8 | | SURGERY | 25 | | SURGSCI | 33 | | THEATRE | 91 | | URBRPL | 60 | | UROLOGY | 5 | | ZOOLOGY | 89 | ## course ### run id 20260907T155543-ce3781c4 ### semester 1272 ### observed at 2026-09-07 15:55:43.033547+00:00 ### record version id e4deed6ac997db5df0c695f375e5ffe368e8bd3f2d8197008374f5996a042225 ### course id EDPSYCH 871 ### course uid course\_0ff2e0a3f6507ed8a757a075 ### catalog version id 109efa51483382cd9d2888dc3c2af1cc282f24efe995c8ec7b71129f741e81d7 ### course number 871 ### subjects * EDPSYCH ### title ITEM RESPONSE THEORY METHODS AND APPLICATIONS ### description An introduction to item response theory (IRT) as a theory of measurement in the social sciences. Examine in detail the quantitative foundations of this approach to measurement, and contrast it to related techniques (classical test theory, factor analysis) considered as alternative statistical theories for measurement. Thoroughly examine the fundamental dichotomous and polytomous IRT models as well as their multidimensional extensions. Review estimation techniques, focusing especially on maximum likelihood and Bayesian estimation methods. Discuss the many applications of IRT methodology, including test construction, development of short forms, appropriateness measurement, linking and equating methodologies, differential item functioning, and computerized adaptive/multi-stage testing. Covers contemporary innovations in IRT modeling, including the integration of process-related data (e.g., response times, action sequences) and models for novel item formats. ### requirements text ED PSYCH 761orPSYCH 610 ### credit offering ids None recorded. ### llm job id enrich-8b774950c2b6adfdc46d1b82 ### llm output id ec8cefc415e1f5fd7f6ede769a38268720682daf70d11f4f4d4b98c307ba03f3 ### llm model nvidia/Qwen3.6-35B-A3B-NVFP4 ### llm model revision 1355db6a052410cfd62085d94b58866fd0f2c3c5 ### llm task version 14 ### llm search status valid ### llm summary EDPSYCH 871 introduces item response theory (IRT) as a measurement framework, contrasting it with classical test theory and factor analysis. ### llm topics * Classical test theory and factor analysis as alternative measurement theories. * Dichotomous and polytomous IRT models and multidimensional extensions. * Differential item functioning and computerized adaptive/multi-stage testing. * Integration of process-related data and novel item formats. ### llm skills * Examination of dichotomous and polytomous IRT models and multidimensional extensions. * Application of maximum likelihood and Bayesian estimation methods. * Application of IRT in test construction, linking, equating, and adaptive testing. * Integration of process-related data and novel item formats in IRT modeling. ### llm assumed background * Statistical methods including ANOVA, regression, and nonparametric techniques. * Experimental design and analysis including reliability, validity, t-tests, ANOVA, and regression. ### llm search phrases * item response theory measurement * IRT models dichotomous polytomous * classical test theory comparison * maximum likelihood Bayesian estimation * differential item functioning * computerized adaptive testing ### llm requirements status valid ### llm student summary status valid ### llm experience status insufficient\_evidence ### catalog variants None recorded. ### student summary #### context hash d96724cd63790b166ec68b543e79c8271eef078835c73568099c2b9d1f453354 #### course id EDPSYCH 871 #### current instructors None recorded. #### difficulty workload None recorded. #### errors None recorded. #### historical context None recorded. #### message No course-specific reviews available #### offered false #### profile hash 5cb4dabf887cdbcd8c00d5a1312e10828b95c63f30bc3ea76aea199565390d02 #### quick take Recent recorded grades — Spring 2008: 3.94 GPA, 100.0% A/AB (n=9 letter grades); Spring 2011: 3.92 GPA, 100.0% A/AB (n=6 letter grades); Spring 2020: 4.00 GPA, 100.0% A/AB (n=12 letter grades). ```json { "citations": [ { "course_id": "EDPSYCH 871", "run_id": "20260907T155543-ce3781c4", "source_record": { "entity_id": "f94cb22d-f165-3845-8afd-5a21dd3c23d2", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "grades_latest", "term_id": "1084", "type": "grade" }, { "course_id": "EDPSYCH 871", "run_id": "20260907T155543-ce3781c4", "source_record": { "entity_id": "f94cb22d-f165-3845-8afd-5a21dd3c23d2", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "grades_latest", "term_id": "1114", "type": "grade" }, { "course_id": "EDPSYCH 871", "run_id": "20260907T155543-ce3781c4", "source_record": { "entity_id": "f94cb22d-f165-3845-8afd-5a21dd3c23d2", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "grades_latest", "term_id": "1204", "type": "grade" } ] } ``` #### student experience None recorded. #### task hash 74fb0997943e888960bbc9e47db8c4fd12e4292d55c20509d8d89db6a9910f68 #### teaching history None recorded. #### term id 1272 #### term name 2026 Fall #### version 2 ### requirements #### nodes ```json [ { "children": [ "n1", "n2" ], "condition": null, "course": null, "evidence": "ED PSYCH 761orPSYCH 610", "id": "n0", "kind": "any" }, { "children": [], "condition": null, "course": { "course_number": 761, "minimum_grade": null, "subjects": [ "EDPSYCH" ], "timing": "prior" }, "evidence": "ED PSYCH 761", "id": "n1", "kind": "course" }, { "children": [], "condition": null, "course": { "course_number": 610, "minimum_grade": null, "subjects": [ "PSYCH" ], "timing": "prior" }, "evidence": "PSYCH 610", "id": "n2", "kind": "course" } ] ``` #### notes None recorded. #### root n0 #### status parsed ### instructors None recorded. ### offerings None recorded. ### sections None recorded. ### grade instructors ```json [ { "instructor_uid": "instructor_ec81247c0219cfff21f61240", "source": "madgrades", "source_instructor_id": "3013579", "identity_basis": "source_id", "identity_status": "source_identified", "name": "DANIEL BOLT", "email": null, "first_observed_at": "2026-09-06 23:14:58.172943+00:00", "last_observed_at": "2026-09-07 15:55:43.033547+00:00", "grade_statistics": { "gpa": 3.906, "graded": 666, "counts": [ 549, 109, 8, 0, 0, 0, 0 ], "sections": 79 }, "instructor_url": "/instructors/DANIEL_BOLT--instructor_ec81247c0219cfff21f61240" } ] ``` ### grades ```json [ { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "EDPSYCH 871", "course_uid": "course_0ff2e0a3f6507ed8a757a075", "term_id": "1084", "term_name": "Spring 2008", "instructors": [ "Daniel Bolt" ], "a": 8, "ab": 1, "b": 0, "bc": 0, "c": 0, "d": 0, "f": 0, "satisfactory": 0, "unsatisfactory": 0, "credit": 0, "no_credit": 0, "passed": 0, "incomplete": 0, "no_work": 0, "not_reported": 0, "other": 0, "total": 9, "source_aliases": [ "EDPSYCH 871" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "EDPSYCH 871", "course_uid": "course_0ff2e0a3f6507ed8a757a075", "term_id": "1114", "term_name": "Spring 2011", "instructors": [ "Daniel Bolt" ], "a": 5, "ab": 1, "b": 0, "bc": 0, "c": 0, "d": 0, "f": 0, "satisfactory": 0, "unsatisfactory": 0, "credit": 0, "no_credit": 0, "passed": 0, "incomplete": 0, "no_work": 0, "not_reported": 0, "other": 0, "total": 6, "source_aliases": [ "EDPSYCH 871" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "EDPSYCH 871", "course_uid": "course_0ff2e0a3f6507ed8a757a075", "term_id": "1204", "term_name": "Spring 2020", "instructors": [ "Daniel Bolt" ], "a": 12, "ab": 0, "b": 0, "bc": 0, "c": 0, "d": 0, "f": 0, "satisfactory": 0, "unsatisfactory": 0, "credit": 0, "no_credit": 0, "passed": 0, "incomplete": 0, "no_work": 0, "not_reported": 0, "other": 0, "total": 12, "source_aliases": [ "EDPSYCH 871" ] } ] ``` ### statistics #### gpa 3.963 #### graded 27 #### counts * 25 * 2 * 0 * 0 * 0 * 0 * 0 ### grade conflicts None recorded. ### evidence #### history * [/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/history/course\_0ff2e0a3f6507ed8a757a075-0.json](https://uwcourses.com/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/history/course_0ff2e0a3f6507ed8a757a075-0.json) #### traces * 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count 12 ##### departments | subject | comparison | | ------- | ---------- | | EDPSYCH | | ### benchmarks #### all ##### school ###### size 1771 ###### gpa 3.588380562690318 ###### top Share 77.42177986503664 ###### count 84 ##### EDPSYCH ###### size 17 ###### gpa 3.8161728123902456 ###### top Share 91.15382427755944 ###### count 72 #### terms ##### 1084 ###### school ###### size 720 ###### gpa 3.3670742938849725 ###### top Share 63.42064564712246 ###### count 70 ##### 1114 ###### school ###### size 804 ###### gpa 3.3696004653806844 ###### top Share 64.0389334741844 ###### count 68 ##### 1204 ###### school ###### size 1012 ###### gpa 3.703747431523761 ###### top Share 84.59811226304916 ###### count 65.5 ###### EDPSYCH ###### size 10 ###### gpa 3.8712140602871883 ###### top Share 94.492174885663 ###### count 81 ## instructor Trends ```json [ { "uid": "instructor_ec81247c0219cfff21f61240", "name": "DANIEL BOLT", "count": 27, "terms": [ { "term": "1084", "count": 9, "sections": 1, "gpa": 3.9444444444444446 }, { "term": "1114", "count": 6, "sections": 1, "gpa": 3.9166666666666665 }, { "term": "1204", "count": 12, "sections": 1, "gpa": 4 } ] } ] ``` ## following None recorded.