Tarefa causcibench_real.q152

Veredito

Pergunta feita ao analista

What is the effect of being placed on academic probation after the first year on the probability that a student leaves school?

Valores esperados e de onde vêm

Verificações

Caminho de referência e caminho do agente

A chamada de referência ao lado da chamada que deu a resposta, argumento por argumento.

Trajetória

Cada evento na ordem em que aconteceu: turnos do modelo, chamadas de ferramentas, guardas, transformações e pontuação.

1. 0Início

   What is the effect of being placed on academic probation after the first year on the probability that a student leaves school?

   chi_improving (agent)

   This dataset comprises comprehensive academic records from a large Canadian university system, consisting of one central campus and two smaller satellite campuses. The data tracks 12,530 first-year students who entered the university between the 1996-97 and 2003-04 academic years, with students aged 17-21 at entry. The dataset focuses on students whose academic performance places them near institutional academic standing thresholds, specifically those with first-year GPAs within a range of the university's academic evaluation criteria. Different campuses maintain distinct GPA cutoffs for academic standing assessments, resulting in variations in institutional policies across the university system. Students are placed on academic probation if their GPA falls below the cutoffs. The longitudinal structure captures academic performance across multiple terms and years, including semester and cumulative GPAs, total credits attempted and completed, registration patterns for fall and summer terms, and academic standing determinations. Outcome measures track graduation status at 4, 5, and 6-year intervals, along with probation and suspension incidents. Variable description: winter_ac_standing: winter academic standing status (OKAY or PROB (indicating probation)) GPA_year1: grade point average by academic year 1 GPA_year2: grade point average for academic year 2 CGPA_year1: cumulative grade point average for year 1 CGPA_year2: cumulative grade point average for year 2 totcredits_year1: total academic credits attempted in year 1 totcredits_year2: total academic credits attempted in year 2 winter_ac_stand_year1: winter academic standing status in year 1 (OKAY or PROB (indicating probation)) winter_ac_stand_year2: winter academic standing status in year 2 (OKAY or PROB (indicating probation)) goodstanding_year1: binary representation of winter_ac_stand_year1; Indicator for academic standing (1 = OKAY, 0 = PROB) goodstanding_year2: binary representation of winter_ac_stand_year2; Indicator for academic standing (1 = OKAY, 0 = PROB) fallreg_year1: fall term registration status in year 1 (1 = registered, 0 = not registered) fallreg_year2: fall term registration status in year 2 (1 = registered, 0 = not registered) summerreg_year1: summer term registration status in year 1 summerreg_year2: summer term registration status in year 2 sex: Sex of the student (MALE / FEMALE) female: 1 = FEMALE, 0 = otherwise male: 1 = MALE, 0 = otherwise mtongue: mother tongue language age_at_entry: student age at university entry bpl_north_america, bpl_asia, bpl_other: Binary variables to indicate birth place regions (1 = born in that region, 0 = not born in that region) canadian: Canadian citizenship status (1 = yes, 0 = no) firstyear: year the student first entered the university yearstodegree: time taken to complete the degree gradin4, gradin5, gradin6: Binary variables that indicate if the student graduated within the specified years cumcredits1, cumcredits2: cumulative credits completed in years 1 and 2 prog_science/prog_socsci_bus/prog_socscihum: binary variable that indicates the academic program of the student: science, social science, humanities english, french, other_lang: binary variable indicating whether the student's main language is English, French, or some other language gpacutoff: GPA evaluation threshold dist_from_cut: distance from academic threshold probation_year1: probation status by year 1 probation_year2: probation status by year 2 suspended_year1: suspension status by year 1 suspended_year2: suspension status by year 2 loc_campus1, loc_campus2, loc_campus3: Binary indicators for campus location hsgrade_pct: high school grade percentile veryhighHS, highHS, lowHS: Binary indicators for high school performance hsgrade_pct: overall percentage achieved in high school left_school: binary variable representing whether the student left school (1) or not (0)

   file 1acbd68c21bd7148a6cf25c9e94fba3aa8f78556f000e983b66449e83208e297 · frame —
2. 1Turno do modelo
   call_e6bace8dnaive-olsFim: tool_use0 ms0 de entrada · 0 de saída · 0 de raciocínio · 0 em cache

   Texto visível

   Linha de base ingênua: regressão do resultado no tratamento, sem controles.

   Chamadas pedidas

   • infer.ols

     {
       "dataset": "chi_improving",
       "x": [
         "probation_year1"
       ],
       "y": "left_school"
     }

   Mensagens (formato neutro)Instruções do sistemaFerramentas oferecidas
3. 2Ferramenta
   infer.olsv0.1.0call_fdc61cfcdecidido pelo modeloreexecutável

   Motivo: Linha de base ingênua: regressão do resultado no tratamento, sem controles.

   Argumentos

   {
     "cluster": null,
     "controls": [],
     "dataset": "chi_improving",
     "fe": [],
     "intercept": true,
     "level": 0.95,
     "se": "HC1",
     "subset": null,
     "weights": null,
     "x": [
       "probation_year1"
     ],
     "y": "left_school"
   }

   Figuras call_fdc61cfc

   Chave	Valor	Valor bruto	Erro-padrão	IC
   coef.probation_year1 Coefficient on probation_year1 in the regression of left_school	0,0716525	0.07165249151155716	0,003828880.0038288772801852696	0,0641478 – 0,0791572

   Diagnósticos

   • n_obs = 44.36244362
   • k = 22
   • r2 = 0,01481310.014813105520982695
   • df_resid = 44.36044360
   • se_type = "HC1"
   • n_clusters = —

   Tabelas (1)

   {
     "coefficients": [
       {
         "ci_high": 0.0394815048109107,
         "ci_low": 0.03562049218286212,
         "coef": 0.03755099849688641,
         "p": 0,
         "se": 0.0009849434251442953,
         "t": 38.12503087817978,
         "term": "Intercept"
       },
       {
         "ci_high": 0.07915715784702605,
         "ci_low": 0.06414782517608826,
         "coef": 0.07165249151155716,
         "p": 7.643111691623681e-78,
         "se": 0.0038288772801852696,
         "t": 18.713708031950837,
         "term": "probation_year1"
       }
     ]
   }

   Digests dos dados

   chi_improving 07e5c97b40fc3910a389247de0a1882b877d2d758d0922a3a211c3358249a099

   sha256 do resultado

   81f80990bf902af9f9ef5bb69a3f41061e5ac5bd969545965324d8b2aac8d90f

   Resultado mostrado ao modelo
4. 3Turno do modelo
   call_91c553ddnaive-olsFim: tool_use0 ms0 de entrada · 0 de saída · 0 de raciocínio · 0 em cache

   Chamadas pedidas

   • submit_answer (meta-ferramenta)

     {
       "answer": "Estimativa ingênua (infer.ols): coef.probation_year1 = 0,07165.",
       "caveats": [],
       "figure_refs": [
         "call_fdc61cfc:coef.probation_year1"
       ]
     }

   Mensagens (formato neutro)Instruções do sistemaFerramentas oferecidas
5. 4Guarda
   resposta aceita

   Números encontrados

   0,07165

   Sem lastro

   —

   Não citados

   —

   1 nova(s) tentativa(s) restante(s)
6. 5Resposta

   Estimativa ingênua (infer.ols): coef.probation_year1 = 0,07165.

   Figuras citadas: call_fdc61cfc:coef.probation_year1 · Parada: answered

   Figura da resposta: call_fdc61cfc:coef.probation_year1 = 0,07165250.07165249151155716 (se 0,003828880.0038288772801852696)
7. 6Pontuação
   #0resposta com lastropassouobrigatóriaevery number backed
8. 7Pontuação
   #1figura da resposta próximafalhouobrigatória0.07165249151 vs 0.018

Épocas × verificações

Tentativas

Cada tentativa é seu próprio arquivo e é publicada; só a última de cada época é pontuada.

• época 1, tentativa 1falhoupontuada(exibindo)

Downloads desta tarefa