This is how the data should look like before going into NLMIXED 1 RESPONSE is the outcome and the rest are bunch of independent variables indicating items 12:37 Friday, September 19, 2003 i c n o t s n r e o f m c e r m e f i e e _ s p p e e e e o s n s n N p e e a b s t x l c o s d m l t A o r n y o t h c l u t i w s o e r O M n s j i r i i i i s h n o o t e a b E s o o n e n n t k e e t r o i p t s _ e n y g d g g e e d r o d n v y e 1 enjoy 0 1 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 2 paying 1 1 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 3 interesting 0 1 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 4 excite 1 1 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 5 focused 0 1 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 6 motiv 0 1 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 7 enjoy 1 2 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 8 paying 1 2 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 9 interesting 1 2 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 10 excite 1 2 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 11 focused 0 2 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 12 motiv 1 2 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 13 enjoy 0 3 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 14 paying 0 3 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 15 interesting 0 3 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 16 excite 1 3 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 17 focused 0 3 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 18 motiv 0 3 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 19 enjoy 0 4 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 20 paying 1 4 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 21 interesting 0 4 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 22 excite 1 4 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 23 focused 1 4 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 24 motiv 1 4 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 25 enjoy 0 5 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 26 paying 0 5 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 27 interesting 1 5 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 28 excite 1 5 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 29 focused 0 5 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 30 motiv 0 5 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 31 enjoy 1 6 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 This is how the data should look like before going into NLMIXED 2 RESPONSE is the outcome and the rest are bunch of independent variables indicating items 12:37 Friday, September 19, 2003 i c n o t s n r e o f m c e r m e f i e e _ s p p e e e e o s n s n N p e e a b s t x l c o s d m l t A o r n y o t h c l u t i w s o e r O M n s j i r i i i i s h n o o t e a b E s o o n e n n t k e e t r o i p t s _ e n y g d g g e e d r o d n v y e 32 paying 1 6 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 33 interesting 1 6 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 34 excite 0 6 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 35 focused 0 6 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 36 motiv 0 6 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 37 enjoy 0 7 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 38 paying 0 7 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 39 interesting 0 7 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 40 excite 1 7 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 41 focused 0 7 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 42 motiv 0 7 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 43 enjoy 0 8 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 44 paying 0 8 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 45 interesting 0 8 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 46 excite 0 8 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 47 focused 0 8 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 48 motiv 0 8 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 49 enjoy 0 9 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 50 paying 1 9 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 51 interesting 0 9 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 52 excite 1 9 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 53 focused 0 9 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 54 motiv 0 9 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 55 enjoy . 10 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 56 paying . 10 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 57 interesting . 10 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 58 excite . 10 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 59 focused . 10 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 60 motiv . 10 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 61 enjoy 0 11 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 62 paying 1 11 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 This is how the data should look like before going into NLMIXED 3 RESPONSE is the outcome and the rest are bunch of independent variables indicating items 12:37 Friday, September 19, 2003 i c n o t s n r e o f m c e r m e f i e e _ s p p e e e e o s n s n N p e e a b s t x l c o s d m l t A o r n y o t h c l u t i w s o e r O M n s j i r i i i i s h n o o t e a b E s o o n e n n t k e e t r o i p t s _ e n y g d g g e e d r o d n v y e 63 interesting 0 11 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 64 excite 1 11 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 65 focused 0 11 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 66 motiv 0 11 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 67 enjoy 0 12 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 68 paying 0 12 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 69 interesting 0 12 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 70 excite 1 12 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 71 focused 0 12 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 72 motiv 0 12 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 73 enjoy 0 13 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 74 paying 1 13 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 75 interesting 0 13 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 76 excite 1 13 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 77 focused 0 13 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 78 motiv 1 13 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 79 enjoy 0 14 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 80 paying 1 14 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 81 interesting 0 14 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 82 excite 1 14 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 83 focused 0 14 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 84 motiv 0 14 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 85 enjoy 0 15 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 86 paying 0 15 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 87 interesting 0 15 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 88 excite 1 15 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 89 focused 1 15 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 90 motiv 1 15 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 91 enjoy 1 16 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 92 paying 1 16 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 93 interesting 1 16 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 This is how the data should look like before going into NLMIXED 4 RESPONSE is the outcome and the rest are bunch of independent variables indicating items 12:37 Friday, September 19, 2003 i c n o t s n r e o f m c e r m e f i e e _ s p p e e e e o s n s n N p e e a b s t x l c o s d m l t A o r n y o t h c l u t i w s o e r O M n s j i r i i i i s h n o o t e a b E s o o n e n n t k e e t r o i p t s _ e n y g d g g e e d r o d n v y e 94 excite 0 16 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 95 focused 0 16 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 96 motiv 1 16 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 97 enjoy 0 17 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 98 paying 1 17 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 99 interesting 0 17 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 100 excite 1 17 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 101 focused 0 17 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 102 motiv 1 17 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 103 enjoy 0 18 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 104 paying 1 18 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 105 interesting 1 18 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 106 excite 1 18 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 107 focused 0 18 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 108 motiv 0 18 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 109 enjoy 0 19 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 110 paying 1 19 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 111 interesting 0 19 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 112 excite 0 19 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 113 focused 0 19 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 114 motiv 0 19 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 115 enjoy 0 20 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 116 paying 1 20 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 117 interesting 0 20 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 118 excite 1 20 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 119 focused 0 20 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 120 motiv 0 20 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 121 enjoy 1 21 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 122 paying 1 21 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 123 interesting 1 21 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 124 excite 0 21 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 This is how the data should look like before going into NLMIXED 5 RESPONSE is the outcome and the rest are bunch of independent variables indicating items 12:37 Friday, September 19, 2003 i c n o t s n r e o f m c e r m e f i e e _ s p p e e e e o s n s n N p e e a b s t x l c o s d m l t A o r n y o t h c l u t i w s o e r O M n s j i r i i i i s h n o o t e a b E s o o n e n n t k e e t r o i p t s _ e n y g d g g e e d r o d n v y e 125 focused 1 21 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 126 motiv 1 21 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 127 enjoy 0 22 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 128 paying 1 22 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 129 interesting 0 22 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 130 excite 0 22 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 131 focused 1 22 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 132 motiv 0 22 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 133 enjoy 1 23 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 134 paying 1 23 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 135 interesting 1 23 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 136 excite 0 23 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 137 focused 1 23 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 138 motiv 1 23 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 139 enjoy 0 24 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 140 paying 1 24 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 141 interesting 0 24 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 142 excite 1 24 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 143 focused 0 24 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 144 motiv 0 24 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 145 enjoy 1 25 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 146 paying 1 25 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 147 interesting 1 25 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 148 excite 1 25 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 149 focused 1 25 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 150 motiv . 25 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 151 enjoy 1 26 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 152 paying 1 26 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 153 interesting 0 26 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 154 excite 1 26 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 155 focused 0 26 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 This is how the data should look like before going into NLMIXED 6 RESPONSE is the outcome and the rest are bunch of independent variables indicating items 12:37 Friday, September 19, 2003 i c n o t s n r e o f m c e r m e f i e e _ s p p e e e e o s n s n N p e e a b s t x l c o s d m l t A o r n y o t h c l u t i w s o e r O M n s j i r i i i i s h n o o t e a b E s o o n e n n t k e e t r o i p t s _ e n y g d g g e e d r o d n v y e 156 motiv 0 26 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 157 enjoy 0 27 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 158 paying 1 27 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 159 interesting 0 27 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 160 excite 1 27 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 161 focused 0 27 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 162 motiv 0 27 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 163 enjoy 0 28 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 164 paying 0 28 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 165 interesting 0 28 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 166 excite 1 28 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 167 focused 0 28 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 168 motiv 0 28 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 169 enjoy 0 29 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 170 paying 1 29 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 171 interesting 1 29 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 172 excite 1 29 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 173 focused 1 29 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 174 motiv . 29 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 175 enjoy 1 30 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 176 paying 1 30 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 177 interesting 1 30 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 178 excite 1 30 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 179 focused 0 30 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 180 motiv 1 30 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 181 enjoy . 31 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 182 paying . 31 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 183 interesting . 31 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 184 excite . 31 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 185 focused . 31 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 186 motiv . 31 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 This is how the data should look like before going into NLMIXED 7 RESPONSE is the outcome and the rest are bunch of independent variables indicating items 12:37 Friday, September 19, 2003 i c n o t s n r e o f m c e r m e f i e e _ s p p e e e e o s n s n N p e e a b s t x l c o s d m l t A o r n y o t h c l u t i w s o e r O M n s j i r i i i i s h n o o t e a b E s o o n e n n t k e e t r o i p t s _ e n y g d g g e e d r o d n v y e 187 enjoy 0 32 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 188 paying 1 32 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 189 interesting 0 32 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 190 excite 1 32 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 191 focused 1 32 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 192 motiv 1 32 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 193 enjoy 1 33 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 194 paying 0 33 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 195 interesting 1 33 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 196 excite 0 33 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 197 focused 0 33 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 198 motiv 1 33 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 See parameter estimate table for item difficulty measure 8 12:37 Friday, September 19, 2003 The NLMIXED Procedure Specifications Data Set WORK.ALL Dependent Variable response Distribution for Dependent Variable Binary Random Effects u Distribution for Random Effects Normal Subject Variable person Optimization Technique Dual Quasi-Newton Integration Method Adaptive Gaussian Quadrature Dimensions Observations Used 184 Observations Not Used 14 Total Observations 198 Subjects 31 Max Obs Per Subject 6 Parameters 7 Quadrature Points 5 Parameters IDenjoy IDpaying IDintere IDexcite IDfocus IDmotiv s2u NegLogLike 1 1 1 1 1 1 1 138.293103 Iteration History Iter Calls NegLogLike Diff MaxGrad Slope 1 3 111.175526 27.11758 1.801499 -164.5 2 4 108.165318 3.010208 0.627549 -4.72436 3 6 108.056245 0.109073 0.223476 -0.40403 4 7 108.035638 0.020607 0.330552 -0.06385 5 8 108.018535 0.017103 0.063743 -0.03352 6 10 108.016116 0.002419 0.027473 -0.00978 See parameter estimate table for item difficulty measure 9 12:37 Friday, September 19, 2003 The NLMIXED Procedure Iteration History Iter Calls NegLogLike Diff MaxGrad Slope 7 12 108.015958 0.000158 0.009661 -0.0004 8 14 108.015942 0.000016 0.004248 -0.00007 9 16 108.015938 3.902E-6 0.000434 -1E-5 10 18 108.015938 5.728E-8 0.00017 -1.45E-7 NOTE: GCONV convergence criterion satisfied. Fit Statistics -2 Log Likelihood 216.0 AIC (smaller is better) 230.0 AICC (smaller is better) 230.7 BIC (smaller is better) 240.1 Parameter Estimates Standard Parameter Estimate Error DF t Value Pr > |t| Alpha Lower Upper Gradient IDenjoy -1.0569 0.4688 30 -2.25 0.0316 0.05 -2.0144 -0.09934 0.000099 IDpaying 1.2484 0.4841 30 2.58 0.0151 0.05 0.2597 2.2371 5.12E-6 IDintere -0.7083 0.4464 30 -1.59 0.1231 0.05 -1.6201 0.2034 5.166E-6 IDexcite 1.2484 0.4841 30 2.58 0.0151 0.05 0.2597 2.2371 5.12E-6 IDfocus -1.2462 0.4848 30 -2.57 0.0154 0.05 -2.2364 -0.2561 -0.00017 IDmotiv -0.5053 0.4505 30 -1.12 0.2709 0.05 -1.4254 0.4147 0.000048 s2u 0.9013 0.5799 30 1.55 0.1306 0.05 -0.2831 2.0857 0.000067 ITEM DIFFICULTY MEASURES derived by PROC NLMIXED 12:37 Friday, September 19, 2003 10 Standard Obs Parameter Estimate Error DF tValue Probt Alpha Lower Upper Gradient 1 IDenjoy 1.0569 0.4688 30 -2.25 0.0316 0.05 -2.0144 -0.09934 0.000099 2 IDpaying -1.2484 0.4841 30 2.58 0.0151 0.05 0.2597 2.2371 5.12E-6 3 IDintere 0.7083 0.4464 30 -1.59 0.1231 0.05 -1.6201 0.2034 5.166E-6 4 IDexcite -1.2484 0.4841 30 2.58 0.0151 0.05 0.2597 2.2371 5.12E-6 5 IDfocus 1.2462 0.4848 30 -2.57 0.0154 0.05 -2.2364 -0.2561 -0.00017 6 IDmotiv 0.5053 0.4505 30 -1.12 0.2709 0.05 -1.4254 0.4147 0.000048 7 s2u -0.9013 0.5799 30 1.55 0.1306 0.05 -0.2831 2.0857 0.000067 Person Measures (Student Engagement Level) derived by PROC NLMIXED) 11 12:37 Friday, September 19, 2003 StdErr Obs person Effect Estimate Pred DF tValue Probt Alpha Lower Upper 1 1 u -0.32933 0.69003 30 -0.47727 0.63663 0.05 -1.73856 1.07990 2 2 u 0.98377 0.75288 30 1.30667 0.20125 0.05 -0.55382 2.52136 3 3 u -0.78909 0.74851 30 -1.05422 0.30020 0.05 -2.31774 0.73956 4 4 u 0.54724 0.69523 30 0.78714 0.43738 0.05 -0.87260 1.96708 5 5 u -0.32933 0.69003 30 -0.47727 0.63663 0.05 -1.73856 1.07990 6 6 u 0.11318 0.67418 30 0.16787 0.86781 0.05 -1.26369 1.49004 7 7 u -0.78909 0.74851 30 -1.05422 0.30020 0.05 -2.31774 0.73956 8 8 u -1.27510 0.85946 30 -1.48360 0.14835 0.05 -3.03036 0.48016 9 9 u -0.32933 0.69003 30 -0.47727 0.63663 0.05 -1.73856 1.07990 10 10 u 0.00000 0.94937 30 0.00000 1.00000 0.05 -1.93887 1.93887 11 11 u -0.32933 0.69003 30 -0.47727 0.63663 0.05 -1.73856 1.07990 12 12 u -0.78909 0.74851 30 -1.05422 0.30020 0.05 -2.31774 0.73956 13 13 u 0.11318 0.67418 30 0.16787 0.86781 0.05 -1.26369 1.49004 14 14 u -0.32933 0.69003 30 -0.47727 0.63663 0.05 -1.73856 1.07990 15 15 u 0.11318 0.67418 30 0.16787 0.86781 0.05 -1.26369 1.49004 16 16 u 0.54724 0.69523 30 0.78714 0.43738 0.05 -0.87260 1.96708 17 17 u 0.11318 0.67418 30 0.16787 0.86781 0.05 -1.26369 1.49004 18 18 u 0.11318 0.67418 30 0.16787 0.86781 0.05 -1.26369 1.49004 19 19 u -0.78909 0.74851 30 -1.05422 0.30020 0.05 -2.31774 0.73956 20 20 u -0.32933 0.69003 30 -0.47727 0.63663 0.05 -1.73856 1.07990 21 21 u 0.98377 0.75288 30 1.30667 0.20125 0.05 -0.55382 2.52136 22 22 u -0.32933 0.69003 30 -0.47727 0.63663 0.05 -1.73856 1.07990 23 23 u 0.98377 0.75288 30 1.30667 0.20125 0.05 -0.55382 2.52136 24 24 u -0.32933 0.69003 30 -0.47727 0.63663 0.05 -1.73856 1.07990 25 25 u 1.29240 0.87227 30 1.48166 0.14886 0.05 -0.48901 3.07382 26 26 u 0.11318 0.67418 30 0.16787 0.86781 0.05 -1.26369 1.49004 27 27 u -0.32933 0.69003 30 -0.47727 0.63663 0.05 -1.73856 1.07990 28 28 u -0.78909 0.74851 30 -1.05422 0.30020 0.05 -2.31774 0.73956 29 29 u 0.79586 0.76855 30 1.03553 0.30870 0.05 -0.77373 2.36545 30 30 u 0.98377 0.75288 30 1.30667 0.20125 0.05 -0.55382 2.52136 31 31 u 0.00000 0.94937 30 0.00000 1.00000 0.05 -1.93887 1.93887 32 32 u 0.54724 0.69523 30 0.78714 0.43738 0.05 -0.87260 1.96708 33 33 u 0.11318 0.67418 30 0.16787 0.86781 0.05 -1.26369 1.49004 Hey, troy, this is how your kids are paying attention to your class! 12 Take a good care of those outlier kids. 12:37 Friday, September 19, 2003 The UNIVARIATE Procedure Variable: Estimate (Empirical Bayes Estimate) Moments N 33 Sum Weights 33 Mean 0.00826496 Sum Observations 0.27274369 Std Deviation 0.63433115 Variance 0.40237601 Skewness 0.23490955 Kurtosis -0.5482862 Uncorrected SS 12.8782866 Corrected SS 12.8760324 Coeff Variation 7674.94494 Std Error Mean 0.11042288 Basic Statistical Measures Location Variability Mean 0.00826 Std Deviation 0.63433 Median 0.00000 Variance 0.40238 Mode -0.32933 Range 2.56750 Interquartile Range 0.87657 Tests for Location: Mu0=0 Test -Statistic- -----p Value------ Student's t t 0.074848 Pr > |t| 0.9408 Sign M 0.5 Pr >= |M| 1.0000 Signed Rank S 0 Pr >= |S| 1.0000 Quantiles (Definition 5) Quantile Estimate 100% Max 1.292403 99% 1.292403 95% 0.983769 90% 0.983769 75% Q3 0.547237 50% Median 0.000000 25% Q1 -0.329333 10% -0.789089 Hey, troy, this is how your kids are paying attention to your class! 13 Take a good care of those outlier kids. 12:37 Friday, September 19, 2003 The UNIVARIATE Procedure Variable: Estimate (Empirical Bayes Estimate) Quantiles (Definition 5) Quantile Estimate 5% -0.789089 1% -1.275097 0% Min -1.275097 Extreme Observations ------Lowest------ ------Highest----- Value Obs Value Obs -1.275097 8 0.983769 21 -0.789089 28 0.983769 23 -0.789089 19 0.983769 2 -0.789089 12 0.983769 30 -0.789089 7 1.292403 25 Stem Leaf # Boxplot Normal Probability Plot 12 9 1 | 1.3+ ++* 10 | | +++ 8 08888 5 | | **+*+ 6 | | *++ 4 555 3 +-----+ | ***+ 2 | | | +++ 0 001111111 9 *--+--* | ****+* * -0 | | | +++ -2 333333333 9 +-----+ | ******* -4 | | +++ -6 99999 5 | | * * *** -8 | | +++ -10 | | ++++ -12 8 1 | -1.3+ +*+ ----+----+----+----+ +----+----+----+----+----+----+----+----+----+----+ Multiply Stem.Leaf by 10**-1 -2 -1 0 +1 +2