# CNSRSCI 768: Introduction to Quantitative Methods in Social Science | UW–Madison [View on UW Courses](https://uwcourses.com/courses/CNSRSCI_768) ## 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 fdc39dc456b616581a41d96abb56cf41884976541e39751148e4f1574a7dbf21 ### course id CNSRSCI 768 ### course uid course\_6cd92d02a3c6b67caa67552c ### catalog version id 38b03ebd1181a6523cdf8c34f61e428db974de646f783a3879a1f34b909a4d64 ### course number 768 ### subjects * CNSRSCI ### title INTRODUCTION TO QUANTITATIVE METHODS IN SOCIAL SCIENCE ### description Introduction to empirical consumer science research methods, with an emphasis on application. Covers different types of data structures commonly encountered, statistical properties of data, bivariate and multivariate linear regression models. ### requirements text Graduate/professional standing ### credits min 3 ### credits max 3 ### credit offering ids * 1272:271:026742 ### llm job id enrich-8b774950c2b6adfdc46d1b82 ### llm output id b5519efa846191efe6b3f8ad7c4f4e135d8176e77c3d946e4a4067475aeec931 ### llm model nvidia/Qwen3.6-35B-A3B-NVFP4 ### llm model revision 1355db6a052410cfd62085d94b58866fd0f2c3c5 ### llm task version 14 ### llm search status valid ### llm summary CNSRSCI 768 introduces quantitative methods in social science, focusing on empirical research methods, data structures, and linear regression models. ### llm topics * Data structures * Statistical properties of data * Linear regression models ### llm skills * Empirical consumer science research methods * Understanding statistical properties of data * Applying bivariate and multivariate linear regression models ### llm assumed background None recorded. ### llm search phrases * empirical consumer science research methods * statistical properties of data * bivariate multivariate linear regression * quantitative methods social science graduate ### llm requirements status valid ### llm student summary status valid ### llm experience status insufficient\_evidence ### catalog variants None recorded. ### student summary #### context hash 2c78431f85177b51a4dff0a279739f084c2c57e4ced47fcfc1bfca522800f124 #### course id CNSRSCI 768 #### current instructors ```json [ { "instructor_uid": "instructor_7a4f0c0e0d09cc5d051998c2", "message": "No course-specific reviews available", "name": "Gisella Kagy", "review_status": "no_course_reviews", "rmp_instructor_id": null, "summary": [ { "citations": [ { "course_id": "CNSRSCI 768", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "113a4078-ec65-3995-b5cd-e5e236a4ddec", "source_record": { "entity_id": "113a4078-ec65-3995-b5cd-e5e236a4ddec", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1252", "type": "grade" }, { "course_id": "CNSRSCI 768", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "113a4078-ec65-3995-b5cd-e5e236a4ddec", "source_record": { "entity_id": "113a4078-ec65-3995-b5cd-e5e236a4ddec", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1262", "type": "grade" } ], "text": "Recent recorded grades — Fall 2024: 3.86 GPA, 100.0% A/AB (n=7 letter grades); Fall 2025: 3.35 GPA, 50.0% A/AB (n=10 letter grades)." } ] } ] ``` #### difficulty workload None recorded. #### errors None recorded. #### historical context None recorded. #### message No course-specific reviews available #### offered true #### profile hash 5cb4dabf887cdbcd8c00d5a1312e10828b95c63f30bc3ea76aea199565390d02 #### quick take Recent recorded grades — Fall 2024: 3.86 GPA, 100.0% A/AB (n=7 letter grades); Fall 2025: 3.35 GPA, 50.0% A/AB (n=10 letter grades). ```json { "citations": [ { "course_id": "CNSRSCI 768", "run_id": "20260907T155543-ce3781c4", "source_record": { "entity_id": "113a4078-ec65-3995-b5cd-e5e236a4ddec", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "grades_latest", "term_id": "1252", "type": "grade" }, { "course_id": "CNSRSCI 768", "run_id": "20260907T155543-ce3781c4", "source_record": { "entity_id": "113a4078-ec65-3995-b5cd-e5e236a4ddec", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "grades_latest", "term_id": "1262", "type": "grade" } ] } ``` #### student experience None recorded. #### task hash 74fb0997943e888960bbc9e47db8c4fd12e4292d55c20509d8d89db6a9910f68 #### teaching history GISELLA KAGY is recorded teaching in Fall 2024, Fall 2025. 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"source_identified", "name": "GISELLA KAGY", "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": 3.708, "graded": 137, "counts": [ 89, 28, 15, 2, 2, 0, 1 ], "sections": 6 }, "instructor_url": "/instructors/GISELLA_KAGY--instructor_03d1968a4896d4eb5cdc7302" }, { "instructor_uid": "instructor_7a4f0c0e0d09cc5d051998c2", "source": "enrollment", "source_instructor_id": "gkagy", "identity_basis": "netid", "identity_status": "source_identified", "name": "Gisella Kagy", "email": "GKAGY@WISC.EDU", "first_observed_at": "2026-09-07 15:55:43.033547+00:00", "last_observed_at": "2026-09-07 15:55:43.033547+00:00", "instructor_url": "/instructors/GISELLA_KAGY" } ] ``` ### grades ```json [ { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "CNSRSCI 768", "course_uid": "course_6cd92d02a3c6b67caa67552c", "term_id": "1252", "term_name": "Fall 2024", "instructors": [ "Gisella Kagy" ], "a": 5, "ab": 2, "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": 7, "source_aliases": [ "CNSRSCI 768" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "CNSRSCI 768", "course_uid": "course_6cd92d02a3c6b67caa67552c", "term_id": "1262", "term_name": "Fall 2025", "instructors": [ "Gisella Kagy" ], "a": 4, "ab": 1, "b": 4, "bc": 0, "c": 1, "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": 10, "source_aliases": [ "CNSRSCI 768" ] } ] ``` ### statistics #### gpa 3.559 #### graded 17 #### counts * 9 * 3 * 4 * 0 * 1 * 0 * 0 ### grade conflicts None recorded. ### evidence #### history * 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3.5588235294117645 #### count 17 #### departments | subject | comparison | | ------- | ---------- | | CNSRSCI | | ### terms #### 1252 ##### term 1252 ##### gpa 3.857142857142857 ##### count 7 ##### departments | subject | comparison | | ------- | ---------- | | CNSRSCI | | #### 1262 ##### term 1262 ##### gpa 3.35 ##### count 10 ##### departments | subject | comparison | | ------- | ---------- | | CNSRSCI | | ### benchmarks #### all ##### school ###### size 2031 ###### gpa 3.6684856636757313 ###### top Share 82.52440705858163 ###### count 81 ##### CNSRSCI ###### size 24 ###### gpa 3.6682239367223963 ###### top Share 84.14268483003796 ###### count 213.5 #### terms ##### 1252 ###### school ###### size 1333 ###### gpa 3.619494049739118 ###### top Share 79.71442190500672 ###### count 69 ###### CNSRSCI ###### size 23 ###### gpa 3.6691705419603458 ###### top Share 84.48369653925197 ###### count 104 ##### 1262 ###### school ###### size 1320 ###### gpa 3.628825763035853 ###### top Share 80.21118846327654 ###### count 70 ###### CNSRSCI ###### size 21 ###### gpa 3.6261464494189632 ###### top Share 81.76866165097593 ###### count 118 ## instructor Trends ```json [ { "uid": "instructor_03d1968a4896d4eb5cdc7302", "name": "GISELLA KAGY", "count": 17, "terms": [ { "term": "1252", "count": 7, "sections": 1, "gpa": 3.857142857142857 }, { "term": "1262", "count": 10, "sections": 1, "gpa": 3.35 } ] } ] ``` ## following | code | title | | ----------- | ------------------------------------------------ | | CNSRSCI 778 | CAUSAL MODELS IN HOUSEHOLD AND CONSUMER RESEARCH |