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von Eye, Alexander; DeShon, Richard P. – International Journal of Behavioral Development, 2012
In this article, we discuss and propose methods that may be of use to determine direction of dependence in non-normally distributed variables. First, it is shown that standard regression analysis is unable to distinguish between explanatory and response variables. Then, skewness and kurtosis are discussed as tools to assess deviation from…
Descriptors: Violence, Attention Deficit Hyperactivity Disorder, Predictor Variables, Correlation
Bradshaw, Ceri A.; Reed, Phil – Learning and Motivation, 2012
In three experiments, human participants pressed the space bar on a computer keyboard to earn points on random-ratio (RR) and random-interval (RI) schedules of reinforcement. Verbalized contingency awareness (CA) for each schedule was measured after the entire task (Experiments 1 and 2), or after each RR-RI trial (Experiment 3). In all three…
Descriptors: Intervals, Reinforcement, Computers, Task Analysis
Rosch, Keri Shiels; Dirlikov, Benjamin; Mostofsky, Stewart H. – Journal of Abnormal Child Psychology, 2013
Increased intrasubject variability (ISV), or short-term, within-person fluctuations in behavioral performance is consistently found in Attention-Deficit/Hyperactivity Disorder (ADHD). ADHD is also associated with impairments in motor control, particularly in boys. The results of the few studies that have examined variability in self-generated…
Descriptors: Motor Reactions, Psychomotor Skills, Attention Deficit Hyperactivity Disorder, Males
DeCastro, Jeanette E. – ProQuest LLC, 2012
Accurate prediction of which candidates show the most promise of success in dental school is imperative for the candidates, the profession, and the public. Several studies suggested that predental GPAs and the Dental Admissions Test (DAT) produce a range of correlations with dental school performance measures. While there have been similarities,…
Descriptors: Meta Analysis, Dental Schools, Medical Students, Predictor Variables
Axelson, David A.; Birmaher, Boris; Strober, Michael A.; Goldstein, Benjamin I.; Ha, Wonho; Gill, Mary Kay; Goldstein, Tina R.; Yen, Shirley; Hower, Heather; Hunt, Jeffrey I.; Liao, Fangzi; Iyengar, Satish; Dickstein, Daniel; Kim, Eunice; Ryan, Neal D.; Frankel, Erica; Keller, Martin B. – Journal of the American Academy of Child & Adolescent Psychiatry, 2011
Objective: To determine the rate of diagnostic conversion from an operationalized diagnosis of bipolar disorder not otherwise specified (BP-NOS) to bipolar I disorder (BP-I) or bipolar II disorder (BP-II) in youth over prospective follow-up and to identify factors associated with conversion. Method: Subjects were 140 children and adolescents…
Descriptors: Intervals, At Risk Persons, Adolescents, Mental Disorders
Hamelin, Jeffery P.; Frijters, Jan; Griffiths, Dorothy; Condillac, Rosemary; Owen, Frances – Journal of Intellectual & Developmental Disability, 2011
Background: A meta-analysis examined the effects of deinstitutionalisation on adaptive behaviour outcomes in persons with intellectual disability. The need for an updated review in this area is reflected by recent policy shifts in community care practices and the international status of deinstitutionalisation efforts. Method: Twenty-three studies…
Descriptors: Community Services, Research Design, Sample Size, Mental Retardation
Chan, Wai – Educational and Psychological Measurement, 2009
A typical question in multiple regression analysis is to determine if a set of predictors gives the same degree of predictor power in two different populations. Olkin and Finn (1995) proposed two asymptotic-based methods for testing the equality of two population squared multiple correlations, [rho][superscript 2][subscript 1] and…
Descriptors: Multiple Regression Analysis, Intervals, Correlation, Computation
Lopez-Duran, Nestor L.; Olson, Sheryl L.; Hajal, Nastassia J.; Felt, Barbara T.; Vazquez, Delia M. – Journal of Abnormal Child Psychology, 2009
The purpose of this study was to examine the association between hypothalamic-pituitary-adrenal axis (HPA-axis) reactivity and proactive and reactive aggression in pre-pubertal children. After a 30-min controlled base line period, 73 7-year-old children (40 males and 33 females) were randomly assigned to one of two experimental tasks designed to…
Descriptors: Intervals, Aggression, Brain, Child Behavior
Algina, James; Keselman, Harvey J.; Penfield, Randall J. – Educational and Psychological Measurement, 2008
A squared semipartial correlation coefficient ([Delta]R[superscript 2]) is the increase in the squared multiple correlation coefficient that occurs when a predictor is added to a multiple regression model. Prior research has shown that coverage probability for a confidence interval constructed by using a modified percentile bootstrap method with…
Descriptors: Intervals, Correlation, Probability, Multiple Regression Analysis
Bavin, Edith L.; Grayden, David B.; Scott, Kim; Stefanakis, Toni – Language and Speech, 2010
Infants' auditory processing abilities have been shown to predict subsequent language development. In addition, poor auditory processing skills have been shown for some individuals with specific language impairment. Methods used in infant studies are not appropriate for use with young children, and neither are methods typically used to test…
Descriptors: Intervals, Speech Impairments, Testing, Young Children
Algina, James; Keselman, H. J. – Educational and Psychological Measurement, 2008
Applications of distribution theory for the squared multiple correlation coefficient and the squared cross-validation coefficient are reviewed, and computer programs for these applications are made available. The applications include confidence intervals, hypothesis testing, and sample size selection. (Contains 2 tables.)
Descriptors: Intervals, Sample Size, Validity, Hypothesis Testing
Woods, Douglas W.; Himle, Michael B.; Miltenberger, Raymond G.; Carr, James E.; Osmon, David C.; Karsten, Amanda M.; Jostad, Candice; Bosch, Amanda – Journal of Abnormal Child Psychology, 2008
Chronic tic disorders are characterized by involuntary motor and vocal tics, which are influenced by contextual factors. Recent research has shown that (a) children can suppress tics for brief periods of time, (b) suppression is enhanced when programmed reinforcement is provided for tic-free intervals, and (c) short periods of suppression do not…
Descriptors: Intervals, Neurological Impairments, Reinforcement, Motor Reactions
Hoyle, Craig D.; O'Dwyer, Laura M.; Chang, Quincy – Regional Educational Laboratory Northeast & Islands, 2011
The Maine Department of Education wanted to use longitudinal data from its data system to better understand whether and how student and school characteristics are associated with student performance on the state-mandated Maine High School Assessment (MHSA). It was particularly interested in understanding the factors associated with changes in test…
Descriptors: High Schools, Intervals, Critical Reading, Educational Improvement
Christman, Jolley Bruce; Neild, Ruth Curran; Bulkley, Katrina; Blanc, Suzanne; Liu, Roseann; Mitchell, Cecily; Travers, Eva – Research for Action, 2009
Under No Child Left Behind, urban school districts have increasingly turned to interim assessments, administered at regular intervals, to help gauge student progress in advance of annual state exams. These assessments have spawned growing debate among educators, assessment experts, and the testing industry: are they worth the significant…
Descriptors: Urban Schools, Core Curriculum, Intervals, Federal Legislation
Myers, Nicholas D.; Paiement, Craig A.; Feltz, Deborah L. – Measurement in Physical Education and Exercise Science, 2007
The purpose of this study was to determine to what degree collective efficacy judgments based on summative team performance capabilities exhibited different levels of prediction for three additive intervals of team performance in women's ice hockey. Collective efficacy beliefs of 12 teams were assessed prior to Friday's game and Saturday's game…
Descriptors: Proximity, Team Sports, Intervals, Teamwork
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