scholarly journals Administering Cognitive Abilities Test in Karaj and Tehran Provinces

2020 ◽  
Vol 41 (1) ◽  
pp. 30-36
Author(s):  
Steven V. Rouse

Abstract. Previous research has supported the use of Amazon’s Mechanical Turk (MTurk) for online data collection in individual differences research. Although MTurk Masters have reached an elite status because of strong approval ratings on previous tasks (and therefore gain higher payment for their work) no research has empirically examined whether researchers actually obtain higher quality data when they require that their MTurk Workers have Master status. In two different online survey studies (one using a personality test and one using a cognitive abilities test), the psychometric reliability of MTurk data was compared between a sample that required a Master qualification type and a sample that placed no status-level qualification requirement. In both studies, the Master samples failed to outperform the standard samples.


1998 ◽  
Vol 46 (2) ◽  
pp. 239-247 ◽  
Author(s):  
Michael D. Wallick

The purpose of this study was to examine the effects of a pullout string program on student achievement in the writing, reading, mathematics, and citizenship sections of the Ohio Proficiency Test. One hundred forty-eight fourth-grade string students and 148 fourth-grade nonstring students from a southwestern Ohio city school district were ability-matched according to their performance on the verbal section of the Cognitive Abilities Test. The scores of the Ohio Proficiency Test were then recorded and compared. This study involved a two-group static-group comparison design. A two-sample independent t-test analysis was used to determine if there was a significant difference between the achievement scores of the string students who were excused from class twice a week for 30 minutes and the matched group of nonstring students who remained in class. It was hypothesized that there would be no significant difference between the two matched groups. The results revealed a significant difference in favor of the string students' achievement in reading and citizenship, with no significant difference between the two matched groups in the writing and mathematics sections of the Ohio Proficiency Test.


2020 ◽  
Vol 64 (3) ◽  
pp. 171-191
Author(s):  
Carol A. Carman ◽  
Christine A. P. Walther ◽  
Robert A. Bartsch

The two most commonly used nonverbal tests for gifted identification, the Naglieri Nonverbal Ability Test (NNAT) and the Cognitive Abilities Test (CogAT) nonverbal battery, have not been compared in their newer versions to explore the effects of their use on the identification of underserved populations. Additionally, the effects of the use of various norming groups and cutoff scores on both instruments’ identification abilities has not been compared. This study compared 15,733 CogAT7 nonverbal battery scores and 14,421 NNAT2 scores of kindergartners between 2013 and 2015 from one large urban school district to explore the differences between how each test relates to major demographic variables and examine the effects on who is selected for participation in gifted programming based on which instrument, which norming group, and which cutoff scores are used. Both instruments were less likely to identify students from demographic groups that have been traditionally underrepresented than students from traditionally overrepresented demographic groups, but identification varied based on the type of norming plan used and which instrument was taken. Suggestions are made as to the best instrument for use with various demographic groups and norming plans.


2018 ◽  
Vol 62 (2) ◽  
pp. 193-209 ◽  
Author(s):  
Carol A. Carman ◽  
Christine A. P. Walther ◽  
Robert A. Bartsch

The nonverbal battery of the Cognitive Abilities Test (CogAT) is one of the two most common nonverbal measures used in gifted identification, yet the relationships between demographic variables and CogAT7 performance has not yet been fully examined. Additionally, the effect of using the CogAT7 nonverbal battery on the identification of diverse demographic groups based on various norming, cutoff, and modifier plans has only just begun to be explored. In this study, we analyzed the CogAT7 nonverbal battery scores of kindergartners from a very large urban school district with a high minority, low socioeconomic status, and high English language learner population to determine the relationships between demographic variables and CogAT performance. The results suggest relationships between CogAT scores and multiple demographic variables, similar to other nonverbal instruments. We also examined the effects of various norming practices, including school-level and group-specific norming, on identification using the CogAT7 nonverbal battery.


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