admit                  package:pscl                  R Documentation

_A_p_p_l_i_c_a_t_i_o_n_s _t_o _a _P_o_l_i_t_i_c_a_l _S_c_i_e_n_c_e _P_h_D _P_r_o_g_r_a_m

_D_e_s_c_r_i_p_t_i_o_n:

     Ordinal ratings (faculty evaluations) of applicants to a Political
     Science PhD Program.

_U_s_a_g_e:

     data(admit)

_F_o_r_m_a_t:

     A data frame with 106 observations on the following 6 variables.

     '_s_c_o_r_e' an ordered factor with levels '1' < '2' < '3' < '4' < '5'

     '_g_r_e._q_u_a_n_t' applicant's score on the quantitative section of the
          GRE; the maximum score is 800

     '_g_r_e._v_e_r_b_a_l' applicant's score on the verbal section of the GRE;
          the maximum score is 800

     '_a_p' 1 if the applicant indicated an interest in American
          politics; 0 otherwise

     '_p_t' 1 if the applicant indicated an interest in Political Theory;
          0 otherwise

     '_f_e_m_a_l_e' 1 for female applicants; 0 otherwise

_R_e_f_e_r_e_n_c_e_s:

     Jackman, Simon.  2004.  "What Do We Learn From Graduate Admissions
     Committees?: A Multiple-Rater, Latent Variable Model, with
     Incomplete Discrete and Continuous Indicators."  _Political
     Analysis_.  12(4):400-424.

_E_x_a_m_p_l_e_s:

     data(admit)
     summary(admit)
     require(MASS)
     ## ordered probit model
     op1 <- polr(score ~ gre.quant + gre.verbal + ap + pt + female,
                 Hess=TRUE,
                 data=admit,
                 method="probit")
     summary(op1)
     hitmiss(op1)
     logLik(op1)
     pR2(op1)   

