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Porter, Cody Normitta; Taylor, Rachel; Harvey, Adam Charles – Applied Cognitive Psychology, 2022
This study investigates the Asymmetric Information Management (AIM) technique's ability to detect fraudulent insurance claims submitted online. The AIM instructions inform claimants that, inter alia, more detailed statements are easier to accurately classify as genuine or fabricated. To test this, truth tellers (n = 55) provided an honest…
Descriptors: Information Management, Identification, Deception, Insurance
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Cum, Sait – International Journal of Assessment Tools in Education, 2021
In this study, it was claimed that ROC analysis, which is used to determine to what extent medical diagnosis tests can be differentiated between patients and non-patients, can also be used to examine the discrimination of binary scored items in cognitive tests. In order to obtain various evidence for this claim, the 2x2 contingency table used in…
Descriptors: Test Items, Item Analysis, Discriminant Analysis, Item Response Theory
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Avcu, Akif – Journal of Theoretical Educational Science, 2022
When performing regression analysis, one way to examine the normality of data is to screen outliers. Outliers, on the other hand, do not always have an effect on regression results. In reality, cases with a large amount of residuals that affect regression analysis results are referred to as influential cases. It is important to detect them in the…
Descriptors: Regression (Statistics), Factor Analysis, Factor Structure, Mathematics
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Yu, Qiaona – Applied Linguistics, 2021
Language complexity reveals the ability to use a wide and varied range of sophisticated structures and vocabulary. Although different languages compose complexity differently, complexity measures such as the T-unit have typically been based on clause subordination, which may underrepresent complexity and threaten the validity of studies. This…
Descriptors: Chinese, Difficulty Level, Syntax, Language Proficiency
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Capriola-Hall, Nicole N.; McFayden, Tyler; Ollendick, Thomas H.; White, Susan W. – Journal of Autism and Developmental Disorders, 2021
Social anxiety disorder (SAD) is commonly comorbid with autism spectrum disorder (ASD). Here, in a sample of 86 children and adolescents (M[subscript AGE] = 12.62 years; 68.6% male), 28 of whom were diagnosed with ASD, 34 with SAD, and 24 with comorbid ASD and SAD, we compared parent-reported scores from the Social Responsiveness Scale-Second…
Descriptors: Interpersonal Competence, Anxiety Disorders, Autism, Pervasive Developmental Disorders
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Yao, Lili; Haberman, Shelby; McCaffrey, Daniel F.; Lockwood, J. R. – ETS Research Report Series, 2020
Minimum discriminant information adjustment (MDIA), an approach to weighting samples to conform to known population information, provides a generalization of raking and poststratification. In the case of simple random sampling with replacement with uniform sampling weights, large-sample properties are available for MDIA estimates of population…
Descriptors: Discriminant Analysis, Sampling, Sample Size, Scores
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El Kadiri Boutchich, Driss – Journal of Education, 2019
The alternative human capital evaluation method proposed is implemented via two methods: principal component analysis and discriminant analysis. The first method classifies the research laboratory activities in homogeneous clusters, while the second method standardizes their scores. The proposed method is sitting in the activity-based management…
Descriptors: Human Capital, Evaluation Methods, Laboratories, Factor Analysis
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Alamer, Abdullah; Marsh, Herbert – Studies in Second Language Acquisition, 2022
This study offers methodological synergy in the examination of factorial structure in second language (L2) research. It illustrates the effectiveness and flexibility of the recently developed exploratory structural equation modeling (ESEM) method, which integrates the advantages of exploratory factor analysis (EFA) and confirmatory factor analysis…
Descriptors: Factor Structure, Factor Analysis, Structural Equation Models, Second Language Learning
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Slepkov, A. D.; Van Bussel, M. L.; Fitze, K. M.; Burr, W. S. – SAGE Open, 2021
There is a broad literature in multiple-choice test development, both in terms of item-writing guidelines, and psychometric functionality as a measurement tool. However, most of the published literature concerns multiple-choice testing in the context of expert-designed high-stakes standardized assessments, with little attention being paid to the…
Descriptors: Foreign Countries, Undergraduate Students, Student Evaluation, Multiple Choice Tests
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Rescorla, Leslie A.; Adams, Allison; Ivanova, Masha Y. – Journal of Autism and Developmental Disorders, 2020
Previous research supports the CBCL/1½--5's "DSM"-ASD scale (and its precursor, the "DSM"-PDP scale) as a Level 1 ASD screener. Confirmatory factor analyses (CFAs) with data from population samples in 24 societies (N = 19,850) indicated good measurement invariance across societies, especially for configural and metric…
Descriptors: Child Behavior, Check Lists, Clinical Diagnosis, Screening Tests
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Bonifacci, Paola; Atti, Elena; Casamenti, Martina; Piani, Barbara; Porrelli, Marina; Mari, Rita – Journal of Speech, Language, and Hearing Research, 2020
Purpose: This study aimed to assess a protocol for the evaluation of developmental language disorder (DLD) in language minority bilingual children (LMBC). The specific aims were (a) to test group differences, (b) to evaluate the discriminant validity of single measures included in the protocol, and (c) to define which model of combined variables…
Descriptors: Developmental Disabilities, Language Impairments, Language Minorities, Bilingual Students
Dutton Feliu, Genevieve – ProQuest LLC, 2018
Social capital theory conceptualized social capital as key to connecting team members into the flow of valued resources and activities, with knowledge deemed one of the most valuable of these resources. Yet, the literature found teams struggle to effectively share knowledge. This quantitative survey-based study assessed the interrelationship…
Descriptors: Social Capital, Information Technology, Multivariate Analysis, Computer Simulation
Smith, Kendal N.; Lamb, Kristen N.; Henson, Robin K. – Gifted Child Quarterly, 2020
Multivariate analysis of variance (MANOVA) is a statistical method used to examine group differences on multiple outcomes. This article reports results of a review of MANOVA in gifted education journals between 2011 and 2017 (N = 56). Findings suggest a number of conceptual and procedural misunderstandings about the nature of MANOVA and its…
Descriptors: Multivariate Analysis, Academically Gifted, Gifted Education, Educational Research
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Dietsch, Angela M.; Rowley, Christopher B.; Solomon, Nancy Pearl; Pearson, William G., Jr. – Journal of Speech, Language, and Hearing Research, 2017
Purpose: Artificial airway procedures such as intubation and Sare common in the treatment of traumatic injuries, and bolus modifications may be implemented to help manage swallowing disorders. This study assessed artificial airway status, bolus properties (volume and viscosity), and the occurrence of laryngeal penetration and/or aspiration in…
Descriptors: Eating Disorders, Biomechanics, Trauma, Patients
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Toprak, Emre; Gelbal, Selahattin – International Journal of Assessment Tools in Education, 2020
This study aims to compare the performances of the artificial neural network, decision trees and discriminant analysis methods to classify student achievement. The study uses multilayer perceptron model to form the artificial neural network model, chi-square automatic interaction detection (CHAID) algorithm to apply the decision trees method and…
Descriptors: Comparative Analysis, Classification, Artificial Intelligence, Networks
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