139 0 57 67 155 0 45 67 171 0 39 57 187 0 44 54 140 0 47 64 156 0 50 70 172 0 31 37 188 0 59 71 141 0 30 36 157 0 41 56 173 0 57 71 189 0 61 81 142 0 41 46 158 0 42 62 174 0 45 56 190 0 62 78 143 0 58 63 159 0 59 72 175 0 40 43 191 0 47 56 144 0 51 70 160 0 56 64 176 0 34 48 192 0 57 60 145 0 54 69 161 0 63 71 177 0 45 66 193 0 56 77 146 0 50 65 162 0 49 57 178 0 34 42 194 0 57 77 147 0 64 79 163 0 41 56 179 0 52 61 195 0 54 70 148 0 66 77 164 0 51 71 180 0 33 50 196 0 58 62 149 0 33 35 165 0 62 65 181 0 46 63 197 0 48 53 150 0 69 72 166 0 56 78 182 0 46 51 198 0 52 71 151 0 45 53 167 0 85 90 183 0 40 49 199 0 51 56 152 0 40 57 168 0 54 61 184 0 47 66 200 0 48 52 153 0 54 66 169 0 44 55 185 0 67 76 154 0 55 65 170 0 51 63 186 0 60 77 The expected result from Lecture 8 . . . – 6. A salvage design: The Pretest-Posttest with Nonequivalent Groups Design It is important to note that the pretest and posttest must be the same instrument. One of the most frequently employed designs in the social sciences. Some outcomes lead to defensible arguments for treatment differences. Others do not. The ideal outcome: If this pattern of results occurs no difference on the pretest, difference favoring the treatment group on – the posttest, most researchers would argue that it is evidence for the existence of a treatment effect. Using our new knowledge of factorial designs, we can recognize this as such a design . . . Type of work vs. no Teams is the Row factor. – – Time Pre vs. Post is the Column factor. – –
139 0 57 67 140 0 47 64 141 0 30 36 142 0 41 46 143 0 58 63 144 0 51 70 145 0 54 69 146 0 50 65 147 0 64 79 148 0 66 77 149 0 33 35 150 0 69 72 151 0 45 53 152 0 40 57 153 0 54 66 154 0 55 65 155 0 45 67 156 0 50 70 157 0 41 56 158 0 42 62 159 0 59 72 160 0 56 64 161 0 63 71 162 0 49 57 163 0 41 56 164 0 51 71 165 0 62 65 166 0 56 78 167 0 85 90 168 0 54 61 169 0 44 55 170 0 51 63 171 0 39 57 172 0 31 37 173 0 57 71 174 0 45 56 175 0 40 43 176 0 34 48 177 0 45 66 178 0 34 42 179 0 52 61 180 0 33 50 181 0 46 63 182 0 46 51 183 0 40 49 184 0 47 66 185 0 67 76 186 0 60 77 187 0 44 54 188 0 59 71 189 0 61 81 190 0 62 78 191 0 47 56 192 0 57 60 193 0 56 77 194 0 57 77 195 0 54 70 196 0 58 62 197 0 48 53 198 0 52 71 199 0 51 56 200 0 48 52 The expected result – from Lecture 8 . . . 6. A salvage design: The Pretest-Posttest with Nonequivalent Groups Design It is important to note that the pretest and posttest must be the same instrument. One of the most frequently employed designs in the social sciences. Some outcomes lead to defensible arguments for treatment differences. Others do not. The ideal outcome: If this pattern of results occurs – no difference on the pretest, difference favoring the treatment group on the posttest, most researchers would argue that it is evidence for the existence of a treatment effect. Using our new knowledge of factorial designs, we can recognize this as such a design . . . Type of work – vs. no Teams – is the Row factor. Time – Pre vs. Post – is the Column factor.
p5100_lecture11_factorial_designs_designs.docx