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Direct linkde León, Sara C.; Jiménez, Juan E.; García, Eduardo; Gutiérrez, Nuria; Gil, Verónica – Learning Disability Quarterly, 2021
The main purpose of this study was to validate the curriculum-based measure "Indicadores de Progreso de Aprendizaje en Matemáticas" (IPAM [Indicators of Basic Early Math Skills]) in a local, Spanish-speaking context. This tool has been designed to identify first-grade students at risk for mathematics learning disabilities. The IPAM…
Descriptors: Mathematics Skills, Curriculum Based Assessment, Grade 1, Elementary School Students
Kim, Ae-Hwa; Kim, Ui Jung; Kim, Jae Chul; Vaughn, Sharon – Learning Disability Quarterly, 2021
The purpose of this study was to classify Korean readers into subgroups based on their reading achievement and to examine the relationships between these subgroups and a set of cognitive-linguistic variables. The reading achievement and cognitive-linguistic skills of 394 elementary school students were measured and the data were analyzed by…
Descriptors: Classification, Korean, Reading Achievement, Elementary School Students
Lufi, Dubi; Awwad, Abeer – Learning Disability Quarterly, 2013
The purpose of this article was to describe an initial step developing a new scale to identify individuals with learning disabilities (LD) and test anxiety. Eighty-eight students answered the "Minnesota Multiphasic Personality Inventory-2" (MMPI-2). The participants were drawn from the following three groups: (a) adults with LD and test…
Descriptors: Learning Disabilities, Test Anxiety, Comparative Analysis, Test Validity
Peer reviewedMargalit, Malka; Levin-Alyagon, Michal – Learning Disability Quarterly, 1994
This study examined patterns of social-emotional subgroups among 122 students with learning disabilities in Israel. Cluster analysis found four subgroups: two nonlonely (one behaviorally adjusted and one with externalizing maladjustment) and two lonely (with externalizing and internalizing maladjustment). Teacher ratings, student ratings, and case…
Descriptors: Behavior Problems, Classification, Cluster Analysis, Disability Identification
