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 CAHSEE February 2004 - May 2004 Administration Technical Report
first stage, the estimation imposes normal constraints on the updated prior distribution. The estimates resulting from this first stage are used as starting values for a second PARSCALE run, in which the subject prior distribution is updated after each expectation-maximization (E-M...
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first stage, the estimation imposes normal constraints on the updated prior distribution. The estimates resulting from this first stage are used as starting values for a second PARSCALE run, in which the subject prior distribution is updated after each expectation-maximization (E-M) cycle. For both stages, the multiplicative metric of the scale is controlled by the use of the fixed discrimination parameters. The resulting calibrations are then scaled to the bank estimates using the Stocking and Lord
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http://www.cde.ca.gov/ta/tg/hs/documents/cahseetechreport1204.pdf#page=23
www.cde.ca.gov/ta/tg/hs/documents/cahseetechreport1204.pdf#page=23
first stage, the <span class="highlight">estimation</span> imposes normal constraints <span class="highlight">on</span> the updated prior distribution. The estimates resulting from this first stage are used as starting values for a second PARSCALE run, in which the subject prior distribution is updated after each expectation-maximization (E-<span class="highlight">M</span>) cycle. For both stages, the multiplicative metric <span class="highlight">of</span> the scale is controlled by the use <span class="highlight">of</span> the fixed discrimination parameters. The resulting calibrations are then scaled to the bank estimates using the Stocking <span class="highlight">and</span> Lord
CAHSEE 2004-05 Administration Technical Report
estimation imposes normal constraints on the updated prior distribution. The estimates resulting from this first stage are used as starting values for a second PARSCALE run, in which the subject prior distribution is updated after each expectation-maximization (E-M) cycle. For b...
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estimation imposes normal constraints on the updated prior distribution. The estimates resulting from this first stage are used as starting values for a second PARSCALE run, in which the subject prior distribution is updated after each expectation-maximization (E-M) cycle. For both stages, the multiplicative metric of the scale is controlled by the use of the fixed discrimination parameters. The resulting calibrations are then scaled to the bank estimates using the Stocking and Lord (1983) procedure. Because
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http://www.cde.ca.gov/ta/tg/hs/documents/techreport2004.pdf#page=28
www.cde.ca.gov/ta/tg/hs/documents/techreport2004.pdf#page=28
<span class="highlight">estimation</span> imposes normal constraints <span class="highlight">on</span> the updated prior distribution. The estimates resulting from this first stage are used as starting values for a second PARSCALE run, in which the subject prior distribution is updated after each expectation-maximization (E-<span class="highlight">M</span>) cycle. For both stages, the multiplicative metric <span class="highlight">of</span> the scale is controlled by the use <span class="highlight">of</span> the fixed discrimination parameters. The resulting calibrations are then scaled to the bank estimates using the Stocking <span class="highlight">and</span> Lord (1983) procedure. Because
CAHSEE 2005-06 Administration Technical Report
estimation imposes normal constraints on the updated prior distribution. The estimates resulting from this first stage are used as starting values for a second PARSCALE run, in which the subject prior distribution is updated after each expectation-maximization (E-M) cycle. For b...
1
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estimation imposes normal constraints on the updated prior distribution. The estimates resulting from this first stage are used as starting values for a second PARSCALE run, in which the subject prior distribution is updated after each expectation-maximization (E-M) cycle. For both stages, the multiplicative metric of the scale is controlled by the use of the fixed discrimination parameters. The resulting calibrations are then scaled to the bank estimates using the Stocking and Lord (1983) procedure. Because
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http://www.cde.ca.gov/ta/tg/hs/documents/techreport2005.pdf#page=25
www.cde.ca.gov/ta/tg/hs/documents/techreport2005.pdf#page=25
<span class="highlight">estimation</span> imposes normal constraints <span class="highlight">on</span> the updated prior distribution. The estimates resulting from this first stage are used as starting values for a second PARSCALE run, in which the subject prior distribution is updated after each expectation-maximization (E-<span class="highlight">M</span>) cycle. For both stages, the multiplicative metric <span class="highlight">of</span> the scale is controlled by the use <span class="highlight">of</span> the fixed discrimination parameters. The resulting calibrations are then scaled to the bank estimates using the Stocking <span class="highlight">and</span> Lord (1983) procedure. Because
CAHSEE 2006-07 Administration Technical Report
stage, the estimation imposes normal constraints on the updated prior distribution. The estimates resulting from this first stage are used as starting values for a second PARSCALE run, in which the subject prior distribution is updated after each expectation-maximization (E-M) c...
1
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stage, the estimation imposes normal constraints on the updated prior distribution. The estimates resulting from this first stage are used as starting values for a second PARSCALE run, in which the subject prior distribution is updated after each expectation-maximization (E-M) cycle. For both stages, the multiplicative metric of the scale is controlled by the use of the fixed discrimination parameters. The resulting calibrations are then scaled to the bank estimates using the Stocking and Lord (1983
31
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http://www.cde.ca.gov/ta/tg/hs/documents/techreport2006.pdf#page=31
www.cde.ca.gov/ta/tg/hs/documents/techreport2006.pdf#page=31
stage, the <span class="highlight">estimation</span> imposes normal constraints <span class="highlight">on</span> the updated prior distribution. The estimates resulting from this first stage are used as starting values for a second PARSCALE run, in which the subject prior distribution is updated after each expectation-maximization (E-<span class="highlight">M</span>) cycle. For both stages, the multiplicative metric <span class="highlight">of</span> the scale is controlled by the use <span class="highlight">of</span> the fixed discrimination parameters. The resulting calibrations are then scaled to the bank estimates using the Stocking <span class="highlight">and</span> Lord (1983
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