Note: Supplemental materials are not guaranteed with Rental or Used book purchases.
- ISBN: 9780824758257 | 0824758250
- Cover: Hardcover
- Copyright: 7/20/2004
Offering more than 25 percent new material, this reference describes the mostrecently utilized IRT models and furnishes detailed explanation of algorithmsthat can be used to estimate the item or ability parameters under various IRTmodels.
Frank B. Baker is Professor Emeritus, Educational Psychology, University of Wisconsin-Madison Seock-Ho Kim is Associate Professor, Educational Psychology, University of Georgia, Athens
Preface to the Second Edition | v | ||||
Preface to the First Edition | ix | ||||
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1 | (22) | |||
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1 | (1) | |||
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2 | (4) | |||
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6 | (12) | |||
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6 | (8) | |||
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14 | (4) | |||
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18 | (4) | |||
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18 | (3) | |||
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21 | (1) | |||
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22 | (1) | |||
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23 | (40) | |||
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23 | (2) | |||
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25 | (13) | |||
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38 | (6) | |||
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44 | (1) | |||
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45 | (1) | |||
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55 | (4) | |||
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59 | (4) | |||
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63 | (20) | |||
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63 | (1) | |||
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63 | (6) | |||
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64 | (2) | |||
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66 | (1) | |||
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69 | (11) | |||
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71 | (5) | |||
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76 | (2) | |||
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78 | (2) | |||
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80 | (3) | |||
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83 | (26) | |||
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83 | (1) | |||
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84 | (23) | |||
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92 | (9) | |||
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101 | (6) | |||
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107 | (2) | |||
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109 | (48) | |||
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109 | (1) | |||
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110 | (5) | |||
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115 | (12) | |||
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127 | (2) | |||
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129 | (7) | |||
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136 | (11) | |||
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142 | (3) | |||
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145 | (2) | |||
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147 | (4) | |||
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147 | (3) | |||
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150 | (1) | |||
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151 | (1) | |||
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152 | (2) | |||
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154 | (3) | |||
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157 | (20) | |||
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157 | (1) | |||
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158 | (1) | |||
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159 | (7) | |||
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164 | (2) | |||
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166 | (9) | |||
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169 | (6) | |||
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175 | (2) | |||
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177 | (26) | |||
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177 | (2) | |||
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179 | (2) | |||
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181 | (2) | |||
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183 | (8) | |||
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184 | (2) | |||
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186 | (3) | |||
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189 | (2) | |||
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191 | (3) | |||
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192 | (1) | |||
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193 | (1) | |||
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194 | (2) | |||
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196 | (5) | |||
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201 | (2) | |||
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203 | (30) | |||
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203 | (1) | |||
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203 | (7) | |||
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210 | (10) | |||
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210 | (8) | |||
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218 | (2) | |||
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220 | (6) | |||
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223 | (3) | |||
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226 | (1) | |||
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226 | (4) | |||
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230 | (1) | |||
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231 | (2) | |||
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233 | (34) | |||
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233 | (5) | |||
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238 | (10) | |||
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248 | (3) | |||
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251 | (4) | |||
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255 | (3) | |||
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258 | (6) | |||
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260 | (4) | |||
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264 | (3) | |||
10. Parameter Estimation for Multiple Group Data | 267 | (16) | |||
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267 | (1) | |||
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268 | (1) | |||
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269 | (4) | |||
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273 | (1) | |||
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274 | (6) | |||
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280 | (3) | |||
11. Estimation of Item Parameters of Mixed Models | 283 | (12) | |||
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283 | (1) | |||
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284 | (1) | |||
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285 | (7) | |||
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285 | (6) | |||
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291 | (1) | |||
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292 | (1) | |||
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293 | (2) | |||
12. Parameter Estimation via Gibbs Sampler | 295 | (18) | |||
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295 | (2) | |||
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297 | (4) | |||
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297 | (1) | |||
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297 | (3) | |||
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300 | (1) | |||
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301 | (5) | |||
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301 | (1) | |||
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302 | (1) | |||
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303 | (2) | |||
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305 | (1) | |||
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305 | (1) | |||
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306 | (1) | |||
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306 | (3) | |||
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309 | (2) | |||
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311 | (2) | |||
A. Implementation of Maximum Likelihood Estimation of Item Parameters | 313 | (6) | |||
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313 | (1) | |||
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313 | (4) | |||
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317 | (2) | |||
B. Implementation of Maximum Likelihood Estimation of Examinee's Ability | 319 | (6) | |||
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319 | (1) | |||
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319 | (2) | |||
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321 | (4) | |||
C. Implementation of JMLE Procedure for the Rasch Model | 325 | (8) | |||
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325 | (1) | |||
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325 | (4) | |||
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329 | (4) | |||
D. Implementation of Item Parameter Estimation via MMLE/EM | 333 | (12) | |||
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333 | (2) | |||
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335 | (4) | |||
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339 | (6) | |||
E. Implementing The Bayesian Approach | 345 | (20) | |||
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345 | (1) | |||
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345 | (3) | |||
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348 | (3) | |||
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351 | (5) | |||
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351 | (3) | |||
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354 | (2) | |||
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356 | (9) | |||
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356 | (4) | |||
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360 | (2) | |||
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362 | (3) | |||
F. Implementation of Parameter Estimation Under the Graded Response Model | 365 | (16) | |||
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365 | (1) | |||
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365 | (6) | |||
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371 | (3) | |||
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374 | (7) | |||
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374 | (4) | |||
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378 | (3) | |||
G. Implementation of MLE Under Nominal Response Scoring | 381 | (16) | |||
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381 | (1) | |||
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381 | (5) | |||
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386 | (3) | |||
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386 | (1) | |||
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386 | (3) | |||
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389 | (8) | |||
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389 | (4) | |||
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393 | (4) | |||
H. Implementation of MMLE/EM for the Rasch Model | 397 | (16) | |||
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397 | (1) | |||
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398 | (4) | |||
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402 | (11) | |||
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402 | (6) | |||
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408 | (5) | |||
I. Implementation of Multiple Groups Estimation | 413 | (26) | |||
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413 | (1) | |||
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413 | (2) | |||
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415 | (5) | |||
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420 | (19) | |||
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420 | (3) | |||
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423 | (7) | |||
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430 | (9) | |||
J. Implementation of Estimation for Mixed Models | 439 | (16) | |||
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439 | (1) | |||
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439 | (4) | |||
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443 | (12) | |||
K. Implementation of Gibbs Sampler | 455 | (9) | |||
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455 | (1) | |||
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455 | (3) | |||
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458 | (6) | |||
References | 464 | (19) | |||
Index | 483 |
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