Asymptotic Standard Error of Equipercentile Equating

1995 ◽  
Vol 20 (3) ◽  
pp. 259 ◽  
Author(s):  
Michelle Liou ◽  
Philip E. Cheng
Keyword(s):  
Standard Error ◽  
Asymptotic Standard Error ◽  
Equipercentile Equating

Asymptotic Standard Error of Equipercentile Equating

1995 ◽  
Vol 20 (3) ◽  
pp. 259-286 ◽  
Author(s):  
Michelle Liou ◽  
Philip E. Cheng
Keyword(s):  
Empirical Study ◽  
Standard Error ◽  
Test Scores ◽  
Frequency Estimation ◽  
Estimation Method ◽  
Standard Errors ◽  
Asymptotic Standard Error ◽  
Equipercentile Equating

We propose simplified formulas for computing the standard errors of equiper-centile equating for continuous and discrete test scores. The suggested formulas are conceptually simple and easily extended to more complicated equating designs such as chained equipercentile equating, smoothed equipercentile equating, and equating using the frequency estimation method. Results from an empirical study indicate that the derived formulas work reasonably well for samples with moderate sizes (e.g., 1,000 examinees).

The Standard Error of Equipercentile Equating

1982 ◽  
Vol 7 (3) ◽  
pp. 165-174 ◽  
Author(s):  
Frederic M. Lord
Keyword(s):  
Monte Carlo ◽  
Monte Carlo Methods ◽  
Standard Error ◽  
Real Data ◽  
Numerical Results ◽  
Standard Errors ◽  
Equipercentile Equating ◽  
Data Standard ◽  
Methods Numerical

The standard error of an equipercentile equating is derived for four situations. Some numerical results are checked by Monte Carlo methods. Numerical standard errors are computed for two sets of real data. Standard errors of linear and equipercentile equating are compared.

Rapid On-Site Cytologic Evaluation: A Feasibility Study Using Ancillary Interventional Pulmonary Personnel

Respiration ◽  
2021 ◽  
pp. 1-6
Author(s):  
Roshen Mathew ◽  
Nikhil Meena ◽  
Winnie Elma Roy ◽  
Chien Chen ◽  
Maggie Macchiraella ◽  
...  
Keyword(s):  
Adrenal Gland ◽  
Standard Error ◽  
Health Professionals ◽  
Proof Of Concept ◽  
Left Adrenal Gland ◽  
Respiratory Therapist ◽  
Asymptotic Standard Error ◽  
Individual Site ◽  
Training Interval ◽  
High Level

<b><i>Background:</i></b> Ancillary health professionals helping in a procedural service is a common practice everywhere. <b><i>Objectives:</i></b> This was a proof-of-concept study to assess feasibility of using ancillary personnel for rapid on-site cytologic evaluation (ROSE) at interventional pulmonary procedures. <b><i>Methods:</i></b> After a training interval, a respiratory therapist (RT) performed ROSE on consecutive interventional pulmonary specimens. Sample sites included lymph nodes, lung, liver, and the left adrenal gland. RT findings were subsequently correlated with blinded cytopathology-performed ROSE and with final histopathology results, with primary foci of adequacy and the presence or absence of malignancy. <b><i>Results:</i></b> Seventy consecutive cases involved 163 separate sites for ROSE analysis. <b><i>Adequacy:</i></b> There was a high level of concordance between RT-performed ROSE (RT-ROSE) and cytopathology ROSE (CYTO-ROSE). They agreed upon the adequacy of 159 specimens. The Cohen’s κ coefficient ± asymptotic standard error (ASE) was 0.74 ± 0.175, with <i>p</i> &#x3c; 0.0001. <b><i>Malignancy:</i></b> RT-ROSE concurred highly with CYTO-ROSE, with agreement on 150 (92%) of the 163 specimens. Cohen’s κ coefficient ± ASE was 0.83 ± 0.045, with <i>p</i> &#x3c; 0.0001. When the comparison was for malignancy by case rather than individual site, Cohen’s κ coefficient ± ASE was 0.68 ± 0.08, with <i>p</i> &#x3c; 0.0001. <b><i>Conclusion:</i></b> This study demonstrates that ancillary personnel supporting an interventional pulmonary service can be trained to perform initial ROSE. Cytopathology can be called after sampling and staining have produced adequate samples. This setup streamlines ROSE evaluation with regard to time and cost.

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