1 spss macros for computing standard errors with plausible values
DESCRIPTION
Estimated mean is the AVERAGE of the mean for each PV Sampling variance is the AVERAGE of the sampling variance for each PV Where Computation of SE with PVs 3TRANSCRIPT
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SPSS MACROS FOR COMPUTING STANDARD ERRORS WITH PLAUSIBLE VALUES
• How to analyze Plausible Values?
Computation of SE with PVs
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• Estimated mean is the AVERAGE of the mean for each PV
• Sampling variance is the AVERAGE of the sampling variance for each PV
• Where
M
iiM 1
ˆ1ˆ
M
iiM 1
2)(
2)( ˆ1ˆ
80 22
ˆ1
1ˆ ˆ ˆ20i ij i
j
Computation of SE with PVs
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• Measurement variance computed as:
• Total Standard Error computed from measurement and Sampling Variance as:
25
1
2)( ˆˆ
11ˆ
i
iPV M
2 2ˆ ˆ ( )( ) ( )
1ˆ ˆ ˆ(1 )PV PVM
Computation of SE with PVs
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Computation of SE with PVs
• SPSS macro MCR_SE_UNIV can be used repeatedly with the five PVs and output can be merged…
• … or SPSS macro MCR_SE_PV does it for you!
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Computation of SE with PVs
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• Same statistics as its respective macro without PVs
Computation of SE with PVs
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Computation of SE with PVs
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Computation of SE with PVs
Computation of SE with PVs
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Computation of SE with PVs
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Computation of SE with PVs
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• Correlation with 2 sets of PVs
Computation of SE with PVs
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• Regression with 2 sets of PVs
Computation of SE with PVs
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Computation of SE with PVs
• Proficiency levels
Computation of SE with PVs
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Computation of SE with PVs