scholarly journals Sample Size Requirements for Applying Mixed Polytomous Item Response Models: Results of a Monte Carlo Simulation Study

2019 ◽  
Vol 10 ◽  
Author(s):  
Tanja Kutscher ◽  
Michael Eid ◽  
Claudia Crayen
Keyword(s):  
Monte Carlo Simulation ◽  
Monte Carlo ◽  
Sample Size ◽  
Item Response ◽  
Simulation Study ◽  
Monte Carlo Simulation Study ◽  
Response Models ◽  
Item Response Models ◽  
Polytomous Item ◽  
Polytomous Item Response

Uncertainty in Stock Composition Estimates of Oceanic Steelhead Trout Using Electrophoretic Characteristics: Comments on a Recent Study

1988 ◽  
Vol 45 (3) ◽  
pp. 432-442 ◽  
Author(s):  
T. J. Mulligan ◽  
S. McKinnell ◽  
C. C. Wood
Keyword(s):  
Monte Carlo Simulation ◽  
Monte Carlo ◽  
Sample Size ◽  
Simulation Study ◽  
Recent Literature ◽  
Steelhead Trout ◽  
Monte Carlo Simulation Study ◽  
Electrophoretic Data ◽  
Mixed Stock ◽  
Insight Into

Analysis of stock composition of mixed-stock fisheries using electrophoretic data is gaining acceptance for both research and management purposes. However, a thorough understanding of the influence of sample size, stock separation, and estimation procedures is required before meaningful results can be obtained. An example from the recent literature is reanalyzed to demonstrate this conclusion. We show how widely different results are obtained from the same data when analyzed by two different models. Some insight into these differences is achieved through a Monte Carlo simulation study.

Using Polytomous Item Response Models to Assess Death Anxiety

2007 ◽  
Vol 56 (2) ◽  
pp. 89-96 ◽  
Author(s):  
Juana G??mez ◽  
M. Dolores Hidalgo ◽  
Joaqu??n Tom??s-S??bado
Keyword(s):  
Item Response ◽  
Death Anxiety ◽  
Response Models ◽  
Item Response Models ◽  
Polytomous Item ◽  
Polytomous Item Response
Sign in / Sign up

Export Citation Format

Share Document