// ~->[DNET-1]->~ // File created by an unlicensed user using Netica 5.04 on 04/09/2018 at 07:32:19 PM. bnet PPtwostepEM { autoupdate = FALSE; title = "Two-step Evidence Model"; comment = "An evidence model with an observable which has different mechanisms for each level."; whenchanged = 1523316637; user U1 { Hub = "miniPP_CM"; Pathname = "PPtwostepEM.dne"; priorWeight = "10"; }; param X_IterativeD_1 { kind = DISCONNECTED; discrete = TRUE; states = (High, Medium, Low); StateComments = ("Complete Mastery", "Partial Mastery", "No Mastery"); levels = (0.967421566101701, 0, -0.967421566101701); title = "IterativeD"; whenchanged = 1523314216; }; param X_EnergyTransfer_1 { kind = DISCONNECTED; discrete = TRUE; states = (High, Medium, Low); StateComments = ("Can use to solve difficult problems", "Can use to solve simple but not difficult problems", "Can not solve simple problems."); levels = (0.967421566101701, 0, -0.967421566101701); title = "EnergyTransfer"; whenchanged = 1523314216; }; node TwoStepObs { kind = NATURE; discrete = TRUE; chance = CHANCE; states = (Full, Partial, None); statetitles = ("Complete Solution", "First step but not second", "No attempt of failed first step"); inputs = (IterativeD, EnergyTransfer); parents = (X_IterativeD_1, X_EnergyTransfer_1); probs = // Complete Solutio First step but n No attempt of fa // IterativeD EnergyTransfer (0.5183404, 0.2341625, 0.2474971, // High High 0.06193196, 0.1448989, 0.7931691, // High Medium 0.002804, 0.03397635, 0.9632196, // High Low 0.5032153, 0.2273297, 0.269455, // Medium High 0.06193196, 0.1448989, 0.7931691, // Medium Medium 0.002804, 0.03397635, 0.9632196, // Medium Low 0.2366892, 0.1069254, 0.6563854, // Low High 0.05649051, 0.1321678, 0.8113416, // Low Medium 0.002804, 0.03397635, 0.9632196); // Low Low ; numcases = 10; title = "Partial Credit observable"; comment = "A partial credit response where each step requires different inputs."; whenchanged = 1523316637; user U1 { link = "\"partialCredit\""; rules = "list(\"Compensatory\", \"OffsetConjunctive\")"; Q = "structure(c(FALSE, TRUE, TRUE, TRUE), .Dim = c(2L, 2L), .Dimnames = list( c(\"3\", \"4\"), \ c(\"IterativeD\", \"EnergyTransfer\")))"; lnAlphas = "list(structure(0, .Names = \"EnergyTransfer\"), 0)"; betas = "list(0.5, structure(c(0.1, 1), .Names = c(\"IterativeD\", \"EnergyTransfer\" )))"; }; }; NodeSet onodes {Nodes = (TwoStepObs);}; NodeSet Observables {Nodes = (TwoStepObs);}; NodeSet pnodes {Nodes = (TwoStepObs);}; };