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Hassan, Abdulhameed S.; Al-Harthy, Ibrahim S. – Journal of Education and Learning, 2014
This study investigated the ability of discriminate variables (perceptual-motor, hyperactivity disorder, neurological and psychological skills) to distinguish between normal (n = 68) and students with learning disabilities (n = 72) in fourth grade. Three instruments were developed: perceptual-motor scale, hyperactivity disorder scale, skills test…
Descriptors: Foreign Countries, Learning Disabilities, Perceptual Motor Coordination, Attention Deficit Hyperactivity Disorder
Troiano, Peter F.; Liefeld, Julie Ann; Trachtenberg, Jennifer V. – Journal of College Reading and Learning, 2010
The relationship between degree of academic support center use and college success was examined in a population of 262 college students with learning disabilities. Five years of attendance data and graduation rates were examined and submitted to discriminant function analysis to evaluate the predictive influence of academic support center use on…
Descriptors: Academic Support Services, College Students, Learning Disabilities, Incidence
Toll, Sylke W. M.; Van der Ven, Sanne H. G.; Kroesbergen, Evelyn H.; Van Luit, Johannes E. H. – Journal of Learning Disabilities, 2011
In the past years, an increasing number of studies have investigated executive functions as predictors of individual differences in mathematical abilities. The present longitudinal study was designed to investigate whether the executive functions shifting, inhibition, and working memory differ between low achieving and typically achieving children…
Descriptors: Group Membership, Learning Disabilities, Inhibition, Short Term Memory
Holden, Jocelyn E.; Kelley, Ken – Educational and Psychological Measurement, 2010
Classification procedures are common and useful in behavioral, educational, social, and managerial research. Supervised classification techniques such as discriminant function analysis assume training data are perfectly classified when estimating parameters or classifying. In contrast, unsupervised classification techniques such as finite mixture…
Descriptors: Discriminant Analysis, Classification, Computation, Behavioral Science Research
Mammarella, Irene Cristina; Lucangeli, Daniela; Cornoldi, Cesare – Journal of Learning Disabilities, 2010
Visuospatial working memory and its involvement in arithmetic were examined in two groups of 7- to 11-year-olds: one comprising children described by teachers as displaying symptoms of nonverbal learning difficulties (N = 21), the other a control group without learning disabilities (N = 21). The two groups were matched for verbal abilities, age,…
Descriptors: Control Groups, Learning Problems, Learning Disabilities, Nonverbal Learning
Hoang, Thienhuong – Journal of the American Academy of Special Education Professionals, 2010
The educational community is discussing response-to-intervention (RTI) as an alternative assessment method. This study investigates assessment elements (beginning text level, ending text level, and number of weeks' participation) of the Reading Recovery (RR) program as part of a future RTI model. By means of a discriminant function analysis, third…
Descriptors: Response to Intervention, Reading Difficulties, Learning Disabilities, Grade 3
Sideridis, Georgios D.; Morgan, Paul L.; Botsas, George; Padeliadu, Susana; Fuchs, Douglas – Journal of Learning Disabilities, 2006
We examined how strongly motivation, metacognition, and psychopathology acted as predictors of learning disabilities (LD). The results from five studies suggested that level of motivation (as shown through self-efficacy, motivational force, task avoidance, goal commitment, or self-concept) was highly accurate in classifying students with or at…
Descriptors: Psychopathology, Motivation, Self Efficacy, Metacognition
Peer reviewedElkins, John; Sultmann, William F. – Journal of Learning Disabilities, 1981
Seven discriminant analyses were performed with significant group separation occurring for six of these. Classification analyses indicated that using the 10 major subtests produced accurate classification in approximately 71 percent of cases. Results were discussed in the light of previous research methodologies and the debate as to the…
Descriptors: Classification, Discriminant Analysis, Exceptional Child Research, Learning Disabilities
O'Brien, Justin; Tsermentseli, Stella; Cummins, Omar; Happe, Francesca; Heaton, Pamela; Spencer, Janine – Early Child Development and Care, 2009
In this article, we examine the extent to which children with autism and children with learning difficulties can be discriminated from their responses to different patterns of sensory stimuli. Using an adapted version of the Short Sensory Profile (SSP), sensory processing was compared in 34 children with autism to 33 children with typical…
Descriptors: Learning Problems, Autism, Learning Disabilities, Discriminant Analysis
Jakobson, Angela; Kikas, Eve – Journal of Learning Disabilities, 2007
This study attempted to determine whether children with the combined subtype of attention-deficit/hyperactivity disorder (ADHD) have impairments in cognitive functioning and motor skills. The specific effect of the comorbidity of learning disabilities (LD) was also investigated. A battery of cognitive tests was administered to 26 children with a…
Descriptors: Cognitive Tests, Clinical Diagnosis, Hyperactivity, Discriminant Analysis
Walsh, John – B. C. Journal of Special Education, 1986
The study examined the ability of Kaufman's (1979) profile analysis procedure with the WISC-R (Wechsler Intelligence Scale for Children-Revised) to discriminate learning disabled (LD) from non-LD children. A discriminant analysis of data on 279 children resulted in low classification accuracy, suggesting limited diagnostic utility of Kaufman's…
Descriptors: Diagnostic Tests, Disability Identification, Discriminant Analysis, Elementary Secondary Education
Peer reviewedVance, H. Booney; And Others – Journal of Clinical Psychology, 1983
Investigated the performance of learning-disabled (LD) and behavior-disorder (BD) children and youth (N=135) on the Wechsler Intelligence Scale for Children-Revised. Results suggested that discriminant function analysis can be useful as one criterion in differentiating LD children from BD children. Implications are discussed. (WAS)
Descriptors: Adolescents, Behavior Problems, Children, Discriminant Analysis
Peer reviewedCherkes-Julkowski, Miriam; Stolzenberg, Jonathan – Learning Disabilities: A Multidisciplinary Journal, 1991
Two discriminant function analyses were conducted to determine the cognitive/educational profile which differentiated 4 groups of 68 elementary/secondary level students: attention deficit disorder (ADD), with and without medication; learning disabilities (LD); and nonhandicapped. By treating the LD and nonmedicated ADD subjects as one group, a…
Descriptors: Attention Deficit Disorders, Classification, Cognitive Processes, Discriminant Analysis
Mallinger, Barry L.; And Others – 1973
While the WISC and Bender-Gestalt are widely used for differential diagnosis, there is a need for empirically determined criteria for classification. Multivariate techniques seem especially promising in classification problems. This study determined the extent to which such an approach can classify children into rational, a priori categories of…
Descriptors: Ability Identification, Clinical Diagnosis, Discriminant Analysis, Elementary School Students
Peer reviewedOakland, Thomas; And Others – Journal of Learning Disabilities, 1990
To identify classroom behaviors that differentiate primary-level students with learning disabilities (LD) from their nondisabled peers, two scales of 83 items each were devised and piloted. Two subscales and 18 individual items were found to discriminate students later classified as LD and those referred but not subsequently classified as LD.…
Descriptors: Discriminant Analysis, Educational Diagnosis, Elementary Education, Evaluation Methods
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