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CONVERGE= select convergence criteria = Either |
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This selects which of LCONV= and RCONV= set the convergence criterion. See convergence considerations.
CONVERGE=L LCONV= for "Logit change size" controls convergence. Iteration stops when the biggest logit change is less or equal to LCONV=, or when the biggest logit change size increases (divergence).
CONVERGE=R RCONV= for "Residual size" controls convergence. Iteration stops when the biggest residual score is less or equal to RCONV=, or when the biggest residual size increases (divergence).
CONVERGE=E Either LCONV= for "Logit change size" or RCONV= for "Residual size" controls convergence. Iteration stops when the biggest logit change is less or equal to LCONV=, or when the biggest residual score is less or equal to RCONV=, or when both the biggest logit change size increases and the biggest residual size increases (divergence).
CONVERGE=B Both LCONV= for "Logit change size" and RCONV= for "Residual size" controls convergence. Iteration stops when both the biggest logit change is less or equal to LCONV= and the biggest residual score is less or equal to RCONV=, or when both the biggest logit change size increases and the biggest residual size increases (divergence).
CONVERGE=F Force both LCONV= for "Logit change size" and RCONV= for "Residual size" to control convergence. Iteration stops when both the biggest logit change is less or equal to LCONV= and the biggest residual score is less or equal to RCONV=.
Example 1: We want to be take a conservative position about convergence, requiring both small logit changes and small residual sizes when iteration ceases. CONVERGE=Both
Example 2: We want to set the convergence criteria to match BIGSTEPS version 2.59 CONVERGE=B ; the rule was LCONV= and RCONV= RCONV= 0.5 ; the BIGSTEPS standards or whatever value you used LCONV= .01
Example 3: We want to set the convergence criteria to match Winsteps version 3.20 CONVERGE=E ; the rule was LCONV or RCONV RCONV= 0.5 ; the 3.20 standards or whatever value you used LCONV= .01
Example 4: We want the convergence criteria to match Winsteps version 2.85 CONVERGE= F ; force both LCONV and RCONV to be met RCONV= 0.5 ; the 2.85 standards or whatever value you used LCONV= .01 You may also want: WHEXACT=NO ; centralized Wilson-Hilferty was the default
Example 5: Question: With anchored analyses, iterations never stop!
|----------------------------------------------------------------------------| | JMLE MAX SCORE MAX LOGIT LEAST CONVERGED CATEGORY STEP | | ITERATION RESIDUAL* CHANGE EXID BYCASE CAT RESIDUAL CHANGE | |----------------------------------------------------------------------------| | 1 -239.04 .5562 1993 392* 6 85.70 -.5960| | 2 -105.65 -.1513 1993 392* 4 -28.92 .2745| ..... | 18 -5.35 -.0027 2228 352* 3 2.35 .0146| | 19 -5.16 .0029 2228 352* 3 2.31 .0106| | 20 -5.05 .0025 2228 352* 3 2.28 .0055| | 21 -5.00 .0010 2228 352* 3 2.26 .0075| | 22 -4.99 -.0008 2228 352* 3 2.25 .0025| ..... | 170 -5.00 -.0011 1377 352* 3 1.96 .0109| | 171 -5.00 .0018 187 352* 3 1.96 .0019| .....
The standard convergence criteria in Winsteps are preset for "free" analyses. With anchored analyses, convergence is effectively reached when the logit estimates stop changing in a substantively meaningful way. This has effectively happened by iteration 20. Note that the logit changes are less than .01 logits - i.e., even the biggest change would make no difference to the printed output (which is usually reported to 2 decimal places)
To have the current Winsteps do this automatically, set CONVERGE=L LCONV=.005 ; set to stop at iteration 22 - to be on the safe side. |
Help for WINSTEPS® Rasch Measurement Software: www.winsteps.com.