Columns:
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with "Select All Fields" using Output File Field Selection
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Start
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End
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Label
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Format
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Description
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1
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1
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A1
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Blank or ";" if HLINES=Y and there are no responses or deleted or extreme (status: 0,-1, -2, -3)
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2
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6
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ENTRY
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I5
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1. The item sequence entry number
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7
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14
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MEASURE
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F8.2
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2. Item's JMLE estimated difficulty calibration user-rescaled by UMEAN=, USCALE=, UDECIM=. Measures for deleted or inestimable items are shown as NOMEASURE=, which defaults to 9999.
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15
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17
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STATUS
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I3
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3. The item's status:
2 = Anchored (fixed) measure
1 = Estimated measure
0 = Extreme maximum measure (estimated using EXTRSC=) for extreme maximum person raw score, or extreme minimum item raw score (-1 if USCALE= < 0)
-1 = Extreme minimum measure (estimated using EXTRSC=) for extreme minimum person raw score (usually 0), or extreme maximum item raw score (0 if USCALE= < 0)
-2 = No responses available for measure
-3 = Deleted by user. PDELETE=, PDFILE=, IDELETE=, IDFILE=, PSELECT=, ISELECT=
-4 = Inestimable: high (all responses in the same category with ISGROUPS=0 or CUTHI=)
-5 = Inestimable: low (all responses in the same category with ISGROUPS=0 or CUTLO=)
-6 = Anchored (fixed) measure with extreme (minimum or maximum) observed raw score
-7 to -16 = Temporarily deselected by Specification box with iSELECT= (usual STATUS - 10)
-17 to -26 = Temporarily deleted by Specification box with IDELETE= (usual STATUS - 20)
-27 to -36 = Temporarily deselected and deleted by Specification box with iSELECT= and iDELETE= (usual STATUS - 30)
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18
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25
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COUNT
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F8.1
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4. The number of responses used in calibrating (TOTAL=N) or the observed count (TOTAL=Y)
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26
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34
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SCORE
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F9.1
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5. The raw score used in calibrating (TOTAL=N) or the observed score (TOTAL=Y)
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35
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41
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MODLSE
REALSE
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F7.2
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6. Standard error of the JMLE or WMLE item difficulty estimate adjusted by REALSE= and user-rescaled by USCALE=, UDECIM=
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42
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48
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IN.MSQ
IN.CHI
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F7.2
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7. Item infit: mean square infit. Chi-square = IN.MSQ* INDF
If CHISQUARE=Yes, IN.CHI = Infit Chi-square
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49
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55
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IN.ZSTD, ZEMP, LOG, PROB
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F7.2
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8. Item infit: t standardized, locally t standardized, log-scaled or probability of mean-square/chi-square (LOCAL=)
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56
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62
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OUT.MS
OUT.CHI
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F7.2
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9. Item outfit: mean square outfit. Chi-square = OUT.MS * OUTDF
If CHISQUARE=Yes, OUT.CHI = Outfit Chi-square (= Yen's Q1 statistic)
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63
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69
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OUT.ZSTD, ZEMP, LOG, PROB
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F7.2
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10. Item outfit: t standardized, locally t standardized, log-scaled or probability of mean-square/chi-square (LOCAL=)
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70
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76
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DISPLACE
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F7.2
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11. Item displacement (user-rescaled by USCALE=, UDECIM=)
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77
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83
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PBSA, PTBIS=A
PBSX, PTBIS=Y
PTMA, PTBIS=N
PTMX, PTBIS=X
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F7.2
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12. Item by test-score correlation: point-biserial or point-measure. PTBIS=
PBSA = Point-Biserial correlation including all responses in the raw score
PBSX = Point-Biserial correlation excluding the current item's response from the raw score
PTMA = Point-Measure correlation including all responses for the measure
PTMX = Point-Biserial excluding the current item's response from the measure
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84
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90
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WEIGHT
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F7.2
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13. Item weight IWEIGHT=
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91
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96
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OBSMA
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F6.1
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14. Observed percent of observations within 0.5 score-points of their expected values
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97
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102
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EXPMA
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F6.1
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15. Expected percent of observations within 0.5 score-points of their expected values
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103
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109
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DISCRIM
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F7.2
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16. Item discrimination (this is not a parameter estimate, merely a descriptive statistic) DISCRIM=
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110
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115
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LOWER
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F6.2
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17. Item lower asymptote: ASYMPTOTE=Yes
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116
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121
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UPPER
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F6.2
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18. Item upper asymptote: ASYMPTOTE=Yes
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122
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127
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PVALU
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F6.2
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19. Item proportion-correct-values or average ratings: PVALUE=Yes:
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128
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133
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PBA-E
PBX-E, PBSX-E
PMA-E
PMX-E
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F6.2
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20. Expected value of Item by test-score correlation. PTBIS=
PBA-E = Expected value of Point-Biserial including all responses in the raw score
PBX-E = Expected value of Point-Biserial excluding the current response from the raw score
PMA-E = Expected value of Point-Measure including all responses in the measure
PMX-E = Expected value of Point-Biserial excluding the current response from the measure
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134
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139
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RMSR
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F6.2
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21. Root-mean-square residual RMSR=
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140
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147
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WMLE
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F8.2
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22. Warm's (Weighted) Mean Likelihood Estimate (WLE) of Item Difficulty user-rescaled by UMEAN=, USCALE=, UDECIM=
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148
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153
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INDF
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F6.2
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23. degrees of freedom of Infit mean-square
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154
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159
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OUTDF
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F6.2
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24. degrees of freedom of Outfit mean-square
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160
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167
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QCMLE
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F8.2
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25. Quasi-CMLE estimates for dichotomous data. 0 otherwise.
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|
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If CMLE=Yes
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|
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CMLEM
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F8.2
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CMLE item measure estimate
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|
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CMLESE
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F8.2
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CMLE item measure standard error
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|
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CMLEIms
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F8.2
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CMLE item INFIT mean-square fit statistic
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|
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CMLEIz
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F8.2
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CMLE item INFIT standardized fit statistic
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|
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CMLEOms
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F8.2
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CMLE item OUTFIT mean-square statistic
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|
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CMLEOz
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F8.2
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CMLE item OUTFIT standardized fit statistic
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|
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CMLEWML
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F8.2
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CMLE Warm Mean Likelihood item measure estimate
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|
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CMLEIdf
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F8.2
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CMLE item INFIT degrees of freedom
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|
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CMLEOdf
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F8.2
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CMLE item OUTFIT degrees of freedom
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168
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168
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1X
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Blank
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169
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169
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GROUPING
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A1
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26. Grouping to which item belongs (G) ISGROUPS=
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170
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170
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1X
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Blank
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171
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171
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MODEL
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A1
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27. Model used for analysis (R=Rating, S=Success, F=Failure) MODELS=
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172
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172
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1X
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Blank
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173
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173
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RECODE
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A1
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28. Recoding/Rescoring indicator:
"." = only CODES=
"A" = ALPHANUM=
"K" = KEY1=
"N" = RESCORE=2 and NEWSCORE=
"1" = RESCORE=1 and NEWSCORE=
Others = IREFER=
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174
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174
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1X
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Blank
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175
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205
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NAME
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A30+
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29. Item name or label: use ILFILE= for different item names
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The format descriptors are:
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In = Integer field width n columns
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Fn.m = Numeric field, n columns wide including n-m-1 integral places, a decimal point and m decimal places
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An = Alphabetic field, n columns wide
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nX = n blank columns.
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