[rkward-cvs] SF.net SVN: rkward:[2587] trunk/rkward/tests/item_response_theory
m-eik at users.sourceforge.net
m-eik at users.sourceforge.net
Fri Jul 31 13:52:45 UTC 2009
Revision: 2587
http://rkward.svn.sourceforge.net/rkward/?rev=2587&view=rev
Author: m-eik
Date: 2009-07-31 13:52:45 +0000 (Fri, 31 Jul 2009)
Log Message:
-----------
irt-testsuite: new results with corrected accuracy.
Modified Paths:
--------------
trunk/rkward/tests/item_response_theory/RKTestStandard.2PL_parameter_estimation.rkout
trunk/rkward/tests/item_response_theory/RKTestStandard.3PL_parameter_estimation.rkout
trunk/rkward/tests/item_response_theory/RKTestStandard.Cronbach_alpha.rkout
trunk/rkward/tests/item_response_theory/RKTestStandard.GRM_parameter_estimation.rkout
trunk/rkward/tests/item_response_theory/RKTestStandard.LLTM_parameter_estimation.rkout
trunk/rkward/tests/item_response_theory/RKTestStandard.LPCM_parameter_estimation.rkout
trunk/rkward/tests/item_response_theory/RKTestStandard.LRSM_parameter_estimation.rkout
trunk/rkward/tests/item_response_theory/RKTestStandard.PCM_parameter_estimation.rkout
trunk/rkward/tests/item_response_theory/RKTestStandard.RSM_parameter_estimation.rkout
trunk/rkward/tests/item_response_theory/RKTestStandard.unidimensional.rkout
Modified: trunk/rkward/tests/item_response_theory/RKTestStandard.2PL_parameter_estimation.rkout
===================================================================
--- trunk/rkward/tests/item_response_theory/RKTestStandard.2PL_parameter_estimation.rkout 2009-07-29 22:03:41 UTC (rev 2586)
+++ trunk/rkward/tests/item_response_theory/RKTestStandard.2PL_parameter_estimation.rkout 2009-07-31 13:52:45 UTC (rev 2587)
@@ -1,3 +1,3 @@
<h1>2PL parameter estimation</h1>
DATE<br>
-<p class='character'><br>Call:<br>ltm(formula = WIRS ~ z1 * z2)<br><br>Coefficients:<br> (Intercept) z1 z2 z1:z2<br>Item 1 -1.097 0.271 -3.317 -1.160<br>Item 2 0.944 1.091 2.173 2.955<br>Item 3 -1.458 1.811 -0.314 0.543<br>Item 4 -1.465 1.116 0.556 0.269<br>Item 5 -1.083 2.133 -0.466 1.147<br>Item 6 -2.753 1.698 -0.935 1.072<br><br>Log.Lik: -3293.212<br></p>
\ No newline at end of file
+<p class='character'><br>Call:<br>ltm(formula = WIRS ~ z1 * z2)<br><br>Coefficients:<br> (Intercept) z1 z2 z1:z2<br>Item 1 -1.097 0.271 -3.317 -1.160<br>Item 2 0.944 1.091 2.173 2.955<br>Item 3 -1.458 1.811 -0.314 0.543<br>Item 4 -1.465 1.116 0.556 0.269<br>Item 5 -1.083 2.133 -0.466 1.147<br>Item 6 -2.753 1.698 -0.935 1.072<br><br>Log.Lik: -3293.2<br></p>
\ No newline at end of file
Modified: trunk/rkward/tests/item_response_theory/RKTestStandard.3PL_parameter_estimation.rkout
===================================================================
--- trunk/rkward/tests/item_response_theory/RKTestStandard.3PL_parameter_estimation.rkout 2009-07-29 22:03:41 UTC (rev 2586)
+++ trunk/rkward/tests/item_response_theory/RKTestStandard.3PL_parameter_estimation.rkout 2009-07-31 13:52:45 UTC (rev 2587)
@@ -1,3 +1,3 @@
<h1>3PL parameter estimation</h1>
DATE<br>
-<p class='character'><br>Call:<br>tpm(data = LSAT)<br><br>Coefficients:<br> Gussng Dffclt Dscrmn<br>Item 1 0.037 -3.296 0.829<br>Item 2 0.078 -1.145 0.760<br>Item 3 0.012 -0.249 0.902<br>Item 4 0.035 -1.766 0.701<br>Item 5 0.053 -2.990 0.666<br><br>Log.Lik: -2466.66<br></p>
\ No newline at end of file
+<p class='character'><br>Call:<br>tpm(data = LSAT)<br><br>Coefficients:<br> Gussng Dffclt Dscrmn<br>Item 1 0.037 -3.296 0.829<br>Item 2 0.078 -1.145 0.760<br>Item 3 0.012 -0.249 0.902<br>Item 4 0.035 -1.766 0.701<br>Item 5 0.053 -2.990 0.666<br><br>Log.Lik: -2466.7<br></p>
\ No newline at end of file
Modified: trunk/rkward/tests/item_response_theory/RKTestStandard.Cronbach_alpha.rkout
===================================================================
--- trunk/rkward/tests/item_response_theory/RKTestStandard.Cronbach_alpha.rkout 2009-07-29 22:03:41 UTC (rev 2586)
+++ trunk/rkward/tests/item_response_theory/RKTestStandard.Cronbach_alpha.rkout 2009-07-31 13:52:45 UTC (rev 2587)
@@ -1,3 +1,3 @@
<h1>Cronbach's alpha (LSAT)</h1>
DATE<br>
-<p class='character'><br>Cronbach's alpha for the 'LSAT' data-set<br><br>Items: 5<br>Sample units: 1000<br>alpha: 0.295<br><br>Bootstrap 95% CI based on 500 samples<br> 2.5% 97.5% <br>0.217 0.357 <br><br></p>
\ No newline at end of file
+<p class='character'><br>Cronbach's alpha for the 'LSAT' data-set<br><br>Items: 5<br>Sample units: 1000<br>alpha: 0.295<br><br>Bootstrap 95% CI based on 500 samples<br> 2.5% 97.5% <br>0.223 0.368 <br><br></p>
\ No newline at end of file
Modified: trunk/rkward/tests/item_response_theory/RKTestStandard.GRM_parameter_estimation.rkout
===================================================================
--- trunk/rkward/tests/item_response_theory/RKTestStandard.GRM_parameter_estimation.rkout 2009-07-29 22:03:41 UTC (rev 2586)
+++ trunk/rkward/tests/item_response_theory/RKTestStandard.GRM_parameter_estimation.rkout 2009-07-31 13:52:45 UTC (rev 2587)
@@ -1,3 +1,3 @@
<h1>GRM parameter estimation</h1>
DATE<br>
-<p class='character'><br>Call:<br>grm(data = Environment)<br><br>Coefficients:<br> Extrmt1 Extrmt2 Dscrmn<br>LeadPetrol 0.487 2.584 1.378<br>RiverSea 1.058 2.499 2.341<br>RadioWaste 0.779 1.793 3.123<br>AirPollution 0.457 2.157 3.283<br>Chemicals 0.809 1.868 2.947<br>Nuclear 0.073 1.427 1.761<br><br>Log.Lik: -1090.404<br></p>
\ No newline at end of file
+<p class='character'><br>Call:<br>grm(data = Environment)<br><br>Coefficients:<br> Extrmt1 Extrmt2 Dscrmn<br>LeadPetrol 0.487 2.584 1.378<br>RiverSea 1.058 2.499 2.341<br>RadioWaste 0.779 1.793 3.123<br>AirPollution 0.457 2.157 3.283<br>Chemicals 0.809 1.868 2.947<br>Nuclear 0.073 1.427 1.761<br><br>Log.Lik: -1090.4<br></p>
\ No newline at end of file
Modified: trunk/rkward/tests/item_response_theory/RKTestStandard.LLTM_parameter_estimation.rkout
===================================================================
--- trunk/rkward/tests/item_response_theory/RKTestStandard.LLTM_parameter_estimation.rkout 2009-07-29 22:03:41 UTC (rev 2586)
+++ trunk/rkward/tests/item_response_theory/RKTestStandard.LLTM_parameter_estimation.rkout 2009-07-31 13:52:45 UTC (rev 2587)
@@ -1,3 +1,3 @@
<h1>LLTM parameter estimation</h1>
DATE<br>
-<p class='character'><br>Results of LLTM estimation: <br><br>Call: LLTM(X = lltmdat1, mpoints = 2) <br><br>Conditional log-likelihood: -1511.226 <br>Number of iterations: 15 <br>Number of parameters: 15 <br><br>Basic Parameters eta:<br> eta 1 eta 2 eta 3 eta 4 eta 5 eta 6<br>Estimate 0.1821474 0.3242218 -0.7037170 -0.2474764 0.4912647 0.8103688<br>Std.Err 0.1489976 0.1492935 0.1579881 0.1509874 0.1502483 0.1539275<br> eta 7 eta 8 eta 9 eta 10 eta 11 eta 12<br>Estimate 0.6857677 0.2531215 -0.9533281 0.2531215 0.1348453 -0.8399645<br>Std.Err 0.1521968 0.1490863 0.1640952 0.1490863 0.1490040 0.1611123<br> eta 13 eta 14 eta 15<br>Estimate -1.3251124 0.5153236 0.24488122<br>Std.Err 0.1764835 0.1504402 0.08206656<br><br></p>
\ No newline at end of file
+<p class='character'><br>Results of LLTM estimation: <br><br>Call: LLTM(X = lltmdat1, mpoints = 2) <br><br>Conditional log-likelihood: -1511.2 <br>Number of iterations: 15 <br>Number of parameters: 15 <br><br>Basic Parameters eta:<br> eta 1 eta 2 eta 3 eta 4 eta 5 eta 6 eta 7 eta 8<br>Estimate 0.18215 0.32422 -0.70372 -0.24748 0.49126 0.81037 0.68577 0.25312<br>Std.Err 0.14900 0.14929 0.15799 0.15099 0.15025 0.15393 0.15220 0.14909<br> eta 9 eta 10 eta 11 eta 12 eta 13 eta 14 eta 15<br>Estimate -0.95333 0.25312 0.13485 -0.83996 -1.32511 0.51532 0.244881<br>Std.Err 0.16410 0.14909 0.14900 0.16111 0.17648 0.15044 0.082067<br><br></p>
\ No newline at end of file
Modified: trunk/rkward/tests/item_response_theory/RKTestStandard.LPCM_parameter_estimation.rkout
===================================================================
--- trunk/rkward/tests/item_response_theory/RKTestStandard.LPCM_parameter_estimation.rkout 2009-07-29 22:03:41 UTC (rev 2586)
+++ trunk/rkward/tests/item_response_theory/RKTestStandard.LPCM_parameter_estimation.rkout 2009-07-31 13:52:45 UTC (rev 2587)
@@ -1,3 +1,3 @@
<h1>LPCM parameter estimation</h1>
DATE<br>
-<p class='character'><br>Results of LPCM estimation: <br><br>Call: LPCM(X = lpcmdat, mpoints = 2, groupvec = G) <br><br>Conditional log-likelihood: -103.7225 <br>Number of iterations: 28 <br>Number of parameters: 10 <br><br>Basic Parameters eta:<br> eta 1 eta 2 eta 3 eta 4 eta 5 eta 6<br>Estimate 0.4121568 -0.2989829 -0.1345081 0.03489372 -0.4288746 -0.2864050<br>Std.Err 0.3965853 0.4942288 0.4091777 0.39432800 0.4784495 0.4488167<br> eta 7 eta 8 eta 9 eta 10<br>Estimate 0.1641184 0.1007373 -0.2014872 1.0940383<br>Std.Err 0.3992024 0.4351064 0.2608237 0.3870405<br><br></p>
\ No newline at end of file
+<p class='character'><br>Results of LPCM estimation: <br><br>Call: LPCM(X = lpcmdat, mpoints = 2, groupvec = G) <br><br>Conditional log-likelihood: -103.72 <br>Number of iterations: 28 <br>Number of parameters: 10 <br><br>Basic Parameters eta:<br> eta 1 eta 2 eta 3 eta 4 eta 5 eta 6 eta 7 eta 8<br>Estimate 0.41216 -0.29898 -0.13451 0.034894 -0.42887 -0.28640 0.16412 0.10074<br>Std.Err 0.39659 0.49423 0.40918 0.394328 0.47845 0.44882 0.39920 0.43511<br> eta 9 eta 10<br>Estimate -0.20149 1.09404<br>Std.Err 0.26082 0.38704<br><br></p>
\ No newline at end of file
Modified: trunk/rkward/tests/item_response_theory/RKTestStandard.LRSM_parameter_estimation.rkout
===================================================================
--- trunk/rkward/tests/item_response_theory/RKTestStandard.LRSM_parameter_estimation.rkout 2009-07-29 22:03:41 UTC (rev 2586)
+++ trunk/rkward/tests/item_response_theory/RKTestStandard.LRSM_parameter_estimation.rkout 2009-07-31 13:52:45 UTC (rev 2587)
@@ -1,3 +1,3 @@
<h1>LRSM parameter estimation</h1>
DATE<br>
-<p class='character'><br>Results of LRSM estimation: <br><br>Call: LRSM(X = lrsmdat, mpoints = 2, se = FALSE, sum0 = FALSE) <br><br>Conditional log-likelihood: -109.3157 <br>Number of iterations: 11 <br>Number of parameters: 5 <br><br>Basic Parameters eta:<br> eta 1 eta 2 eta 3 eta 4 eta 5<br>Estimate -0.04589654 0.1139302 0.1974475 -0.04155719 0.3460155<br>Std.Err NA NA NA NA NA<br><br></p>
\ No newline at end of file
+<p class='character'><br>Results of LRSM estimation: <br><br>Call: LRSM(X = lrsmdat, mpoints = 2, se = FALSE, sum0 = FALSE) <br><br>Conditional log-likelihood: -109.32 <br>Number of iterations: 11 <br>Number of parameters: 5 <br><br>Basic Parameters eta:<br> eta 1 eta 2 eta 3 eta 4 eta 5<br>Estimate -0.045897 0.11393 0.19745 -0.041557 0.34602<br>Std.Err NA NA NA NA NA<br><br></p>
\ No newline at end of file
Modified: trunk/rkward/tests/item_response_theory/RKTestStandard.PCM_parameter_estimation.rkout
===================================================================
--- trunk/rkward/tests/item_response_theory/RKTestStandard.PCM_parameter_estimation.rkout 2009-07-29 22:03:41 UTC (rev 2586)
+++ trunk/rkward/tests/item_response_theory/RKTestStandard.PCM_parameter_estimation.rkout 2009-07-31 13:52:45 UTC (rev 2587)
@@ -1,3 +1,3 @@
<h1>PCM parameter estimation</h1>
DATE<br>
-<p class='character'><br>Results of PCM estimation: <br><br>Call: PCM(X = pcmdat) <br><br>Conditional log-likelihood: -121.0979 <br>Number of iterations: 16 <br>Number of parameters: 19 <br><br>Basic Parameters eta:<br> eta 1 eta 2 eta 3 eta 4 eta 5 eta 6<br>Estimate 0.9368481 -0.3303217 0.2508642 0.06501281 -1.431592 -0.2239408<br>Std.Err 0.5652103 0.8094045 0.5254583 0.57979232 1.023935 0.5609932<br> eta 7 eta 8 eta 9 eta 10 eta 11 eta 12<br>Estimate -0.07447574 -0.8782791 0.4229828 -0.2634983 0.1395695 -0.9803568<br>Std.Err 0.56794592 0.7839341 0.5467279 0.6888136 0.6497051 0.7880102<br> eta 13 eta 14 eta 15 eta 16 eta 17 eta 18<br>Estimate 0.09620567 0.4030339 -0.586106 0.5041350 1.0995166 0.8493303<br>Std.Err 0.58461909 0.5788295 0.826411 0.6344945 0.5869565 0.5044311<br> eta 19<br>Estimate -0.2980869<br>Std.Err 0.7005384<br><br></p>
\ No newline at end of file
+<p class='character'><br>Results of PCM estimation: <br><br>Call: PCM(X = pcmdat) <br><br>Conditional log-likelihood: -121.10 <br>Number of iterations: 16 <br>Number of parameters: 19 <br><br>Basic Parameters eta:<br> eta 1 eta 2 eta 3 eta 4 eta 5 eta 6 eta 7 eta 8<br>Estimate 0.93685 -0.33032 0.25086 0.065013 -1.4316 -0.22394 -0.074476 -0.87828<br>Std.Err 0.56521 0.80940 0.52546 0.579792 1.0239 0.56099 0.567946 0.78393<br> eta 9 eta 10 eta 11 eta 12 eta 13 eta 14 eta 15 eta 16<br>Estimate 0.42298 -0.26350 0.13957 -0.98036 0.096206 0.40303 -0.58611 0.50413<br>Std.Err 0.54673 0.68881 0.64971 0.78801 0.584619 0.57883 0.82641 0.63449<br> eta 17 eta 18 eta 19<br>Estimate 1.09952 0.84933 -0.29809<br>Std.Err 0.58696 0.50443 0.70054<br><br></p>
\ No newline at end of file
Modified: trunk/rkward/tests/item_response_theory/RKTestStandard.RSM_parameter_estimation.rkout
===================================================================
--- trunk/rkward/tests/item_response_theory/RKTestStandard.RSM_parameter_estimation.rkout 2009-07-29 22:03:41 UTC (rev 2586)
+++ trunk/rkward/tests/item_response_theory/RKTestStandard.RSM_parameter_estimation.rkout 2009-07-31 13:52:45 UTC (rev 2587)
@@ -1,3 +1,3 @@
<h1>RSM parameter estimation</h1>
DATE<br>
-<p class='character'><br>Results of RSM estimation: <br><br>Call: RSM(X = rsmdat) <br><br>Conditional log-likelihood: -107.5618 <br>Number of iterations: 11 <br>Number of parameters: 7 <br><br>Basic Parameters eta:<br> eta 1 eta 2 eta 3 eta 4 eta 5 eta 6<br>Estimate -0.3051523 -0.2558638 -0.06730786 0.1601342 0.4442440 0.1673936<br>Std.Err 0.2053696 0.2028161 0.19650733 0.1965178 0.2084872 0.4596568<br> eta 7<br>Estimate -0.1379066<br>Std.Err 0.7324951<br><br></p>
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+<p class='character'><br>Results of RSM estimation: <br><br>Call: RSM(X = rsmdat) <br><br>Conditional log-likelihood: -107.56 <br>Number of iterations: 11 <br>Number of parameters: 7 <br><br>Basic Parameters eta:<br> eta 1 eta 2 eta 3 eta 4 eta 5 eta 6 eta 7<br>Estimate -0.30515 -0.25586 -0.067308 0.16013 0.44424 0.16739 -0.13791<br>Std.Err 0.20537 0.20282 0.196507 0.19652 0.20849 0.45966 0.73250<br><br></p>
\ No newline at end of file
Modified: trunk/rkward/tests/item_response_theory/RKTestStandard.unidimensional.rkout
===================================================================
--- trunk/rkward/tests/item_response_theory/RKTestStandard.unidimensional.rkout 2009-07-29 22:03:41 UTC (rev 2586)
+++ trunk/rkward/tests/item_response_theory/RKTestStandard.unidimensional.rkout 2009-07-31 13:52:45 UTC (rev 2587)
@@ -1,3 +1,3 @@
<h1>Unidimensionality check (estimates.rasch)</h1>
DATE<br>
-<p class='character'><br>Unidimensionality Check using Modified Parallel Analysis<br><br>Call:<br>rasch(data = LSAT)<br><br>Matrix of tertachoric correlations<br> Item 1 Item 2 Item 3 Item 4 Item 5<br>Item 1 1.0000 0.1703 0.2275 0.1072 0.0665<br>Item 2 0.1703 1.0000 0.1891 0.1111 0.1724<br>Item 3 0.2275 0.1891 1.0000 0.1867 0.1055<br>Item 4 0.1072 0.1111 0.1867 1.0000 0.2009<br>Item 5 0.0665 0.1724 0.1055 0.2009 1.0000<br><br>Alternative hypothesis: the second eigenvalue of the observed data is substantially larger <br> than the second eigenvalue of data under the assumed IRT model<br><br>Second eigenvalue in the observed data: 0.2254<br>Average of second eigenvalues in Monte Carlo samples: 0.2577<br>Monte Carlo samples: 100<br>p-value: 0.6733<br></p>
\ No newline at end of file
+<p class='character'><br>Unidimensionality Check using Modified Parallel Analysis<br><br>Call:<br>rasch(data = LSAT)<br><br>Matrix of tertachoric correlations<br> Item 1 Item 2 Item 3 Item 4 Item 5<br>Item 1 1.000 0.170 0.228 0.107 0.067<br>Item 2 0.170 1.000 0.189 0.111 0.172<br>Item 3 0.228 0.189 1.000 0.187 0.105<br>Item 4 0.107 0.111 0.187 1.000 0.201<br>Item 5 0.067 0.172 0.105 0.201 1.000<br><br>Alternative hypothesis: the second eigenvalue of the observed data is substantially larger <br> than the second eigenvalue of data under the assumed IRT model<br><br>Second eigenvalue in the observed data: 0.225<br>Average of second eigenvalues in Monte Carlo samples: 0.249<br>Monte Carlo samples: 100<br>p-value: 0.614<br></p>
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