scholarly journals Use of Jackknifing to Evaluate Effects of Anchor Item Selection on Equating With the Nonequivalent Groups With Anchor Test (NEAT) Design

2015 ◽  
Vol 2015 (1) ◽  
pp. 1-12 ◽  
Author(s):  
Ru Lu ◽  
Shelby Haberman ◽  
Hongwen Guo ◽  
Jinghua Liu
Keyword(s):  
Item Selection ◽  
Neat Design ◽  
Nonequivalent Groups

A Unified Approach to Linear Equating for the Nonequivalent Groups Design

2005 ◽  
Vol 30 (3) ◽  
pp. 313-342 ◽  
Author(s):  
Alina A. von Davier ◽  
Nan Kong
Keyword(s):  
General Formula ◽  
Standard Error ◽  
Unified Approach ◽  
Unified Framework ◽  
Neat Design ◽  
Nonequivalent Groups ◽  
Standard Error Of Equating ◽  
Observed Score ◽  
Special Case ◽  
Linear Equating

This article describes a new, unified framework for linear equating in a non-equivalent groups anchor test (NEAT) design. The authors focus on three methods for linear equating in the NEAT design—Tucker, Levine observed-score, and chain—and develop a common parameterization that shows that each particular equating method is a special case of the linear equating function in the NEAT design. A new concept, the method function, is used to distinguish among the linear equating functions, in general, and among the three equating methods, in particular. This approach leads to a general formula for the standard error of equating for all linear equating functions in the NEAT design. A new tool, the standard error of equating difference , is presented to investigate if the observed difference in the equating functions is statistically significant.

Following the Ants

2017 ◽  
Vol 33 (6) ◽  
pp. 409-421 ◽  
Author(s):  
Anne B. Janssen ◽  
Martin Schultze ◽  
Adrian Grötsch
Keyword(s):  
Short Form ◽  
Supervisor Support ◽  
Proactive Personality ◽  
Work Behavior ◽  
Model Fit ◽  
Item Selection ◽  
Short Version ◽  
Innovative Work Behavior ◽  
Innovative Work ◽  
Two Measures

Abstract. Employees’ innovative work is a facet of proactive work behavior that is of increasing interest to industrial and organizational psychologists. As proactive personality and supervisor support are key predictors of innovative work behavior, reliable, and valid employee ratings of these two constructs are crucial for organizations’ planning of personnel development measures. However, the time for assessments is often limited. The present study therefore aimed at constructing reliable short scales of two measures of proactive personality and supervisor support. For this purpose, we compared an innovative approach of item selection, namely Ant Colony Optimization (ACO; Leite, Huang, & Marcoulides, 2008 ) and classical item selection procedures. For proactive personality, the two item selection approaches provided similar results. Both five-item short forms showed a satisfactory reliability and a small, however negligible loss of criterion validity. For a two-dimensional supervisor support scale, ACO found a reliable and valid short form. Psychometric properties of the short version were in accordance with those of the parent form. A manual supervisor support short form revealed a rather poor model fit and a serious loss of validity. We discuss benefits and shortcomings of ACO compared to classical item selection approaches and recommendations for the application of ACO.

Identifying Measurement Invariant Item Sets in Cross-Cultural Settings Using an Automated Item Selection Procedure

Methodology ◽  
2018 ◽  
Vol 14 (4) ◽  
pp. 177-188 ◽  
Author(s):  
Martin Schultze ◽  
Michael Eid
Keyword(s):  
Measurement Invariance ◽  
Optimal Solution ◽  
Selection Procedure ◽  
Cross Cultural ◽  
Item Selection ◽  
Ant System ◽  
Item Quality ◽  
Ant System Algorithm ◽  
Selection For ◽  
Selection Of

Abstract. In the construction of scales intended for the use in cross-cultural studies, the selection of items needs to be guided not only by traditional criteria of item quality, but has to take information about the measurement invariance of the scale into account. We present an approach to automated item selection which depicts the process as a combinatorial optimization problem and aims at finding a scale which fulfils predefined target criteria – such as measurement invariance across cultures. The search for an optimal solution is performed using an adaptation of the [Formula: see text] Ant System algorithm. The approach is illustrated using an application to item selection for a personality scale assuming measurement invariance across multiple countries.

Characteristics of Some Item Selection Techniques for Maximizing Reliability

1968 ◽  
Author(s):  
W. L. Bashaw ◽  
Winston E. Dill
Keyword(s):  
Item Selection
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