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50 Years of ERIC
50 Years of ERIC
The Education Resources Information Center (ERIC) is celebrating its 50th Birthday! First opened on May 15th, 1964 ERIC continues the long tradition of ongoing innovation and enhancement.

Learn more about the history of ERIC here. PDF icon

Showing 1 to 15 of 42 results
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Yang, Chunyan; Bear, George G.; Chen, Fang Fang; Zhang, Wei; Blank, Jessica C.; Huang, Xishan – School Psychology Quarterly, 2013
Although the construct of student climate has been studied extensively in the United States, we know little about how school climate is perceived in other countries. With large class sizes yet higher academic achievement and less disruptive and aggressive student behaviors, schools in China present a contrast to many schools in the United States.…
Descriptors: Student Attitudes, Cultural Differences, Foreign Countries, Student Behavior
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Forman, Susan G.; Shapiro, Edward S.; Codding, Robin S.; Gonzales, Jorge E.; Reddy, Linda A.; Rosenfield, Sylvia A.; Sanetti, Lisa M. H.; Stoiber, Karen C. – School Psychology Quarterly, 2013
The APA Division 16 Working Group on Translating Science to Practice contends that implementation science is essential to the process of translating evidence-based interventions (EBIs) into the unique context of the schools, and that increasing attention to implementation will lead to the improvement of school psychological services and school…
Descriptors: School Psychology, Program Implementation, Barriers, Fidelity
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Dombrowski, Stefan C. – School Psychology Quarterly, 2013
During its development, the Woodcock-Johnson, Third Edition Cognitive (WJ-III Cognitive; McGrew & Woodcock, 2001) was never subjected to structural analysis using exploratory and higher order factor analyses. Instead, confirmatory factor analyses were conducted on separate sets of WJ-III correlation matrices, yielding a seven-factor model across…
Descriptors: Cognitive Tests, Factor Analysis, Factor Structure, Theories
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Kubiszyn, Thomas; Mire, Sarah; Dutt, Sonia; Papathopoulos, Katina; Burridge, Andrea Backsheider – School Psychology Quarterly, 2012
Some side effects (SEs) of increasingly prescribed psychotropic medications can impact student performance in school. SE risk varies, even among drugs from the same class (e.g., antidepressants). Knowing which SEs occur significantly more often than others may enable school psychologists to enhance collaborative risk-benefit analysis, medication…
Descriptors: Evidence, Narcotics, Incidence, School Psychologists
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Gresham, Frank M.; Elliott, Stephen N.; Vance, Michael J.; Cook, Clayton R. – School Psychology Quarterly, 2011
This study compared the Social Skills Rating System (SSRS; Gresham & Elliott, 1990) with the revision of the SSRS, now called the Social Skills Improvement System-Rating Scales (SSIS-RS; Gresham & Elliott, 2008), across three raters (teacher, parent, and student) for elementary- and secondary-aged students. A detailed comparison of these two…
Descriptors: Social Behavior, Validity, Rating Scales, Intervention
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Reinke, Wendy M.; Stormont, Melissa; Herman, Keith C.; Puri, Rohini; Goel, Nidhi – School Psychology Quarterly, 2011
There is a significant research to practice gap in the area of mental health practices and interventions in schools. Understanding the teacher perspective can provide important information about contextual influences that can be used to bridge the research to practice gap in school-based mental health practices. The purpose of this study was to…
Descriptors: Health Services, Community Services, Health Needs, Educational Needs
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Blake, Jamilia J.; Kim, Eun Sook; Sohn McCormick, Anita L.; Hayes, DeMarquis – School Psychology Quarterly, 2011
The purpose of the current study was to examine the dimensionality of social victimization and to assess the relation between social victimization and classmate social support in a sample of 260 students. Confirmatory factor analyses yielded four dimensions of peer victimization: overt, verbal social, and nonverbal social victimization and peer…
Descriptors: Validity, Peer Relationship, Gender Differences, Bullying
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Cook, Clayton R.; Williams, Kirk R.; Guerra, Nancy G.; Kim, Tia E.; Sadek, Shelly – School Psychology Quarterly, 2010
Research on the predictors of 3 bully status groups (bullies, victims, and bully victims) for school-age children and adolescents was synthesized using meta-analytic procedures. The primary purpose was to determine the relative strength of individual and contextual predictors to identify targets for prevention and intervention. Age and how…
Descriptors: Intervention, Bullying, Prevention, Victims of Crime
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DiStefano, Christine; Morgan, Grant B. – School Psychology Quarterly, 2010
This study examined the Behavioral and Emotional Screening System Teacher Rating System for Children and Adolescents (BESS TRS-CA; Kamphaus & Reynolds, 2007) screener using Rasch Rating Scale model (RSM) methodology to provide additional information about psychometric properties of items. Data from the Behavioral Assessment System for Children…
Descriptors: Rating Scales, Item Response Theory, Children, Adolescents
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Reynolds, Cecil R.; Shaywitz, Sally E. – School Psychology Quarterly, 2009
Response to Intervention (RTI) models of diagnosis and intervention are being implemented rapidly throughout the schools. The purposes of invoking an RTI model for disabilities in the schools clearly are laudable, yet close examination reveals an unappreciated paucity of empirical support for RTI and an overly optimistic view of its practical,…
Descriptors: Intervention, Learning Disabilities, Special Education, Federal Programs
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Nickerson, Amanda B.; Fishman, Callen – School Psychology Quarterly, 2009
This study assessed the convergent and divergent validity of the Devereux Student Strengths Assessment (DESSA; LeBuffe, Shapiro, & Naglieri, 2008). A total of 227 (n = 94 teachers, n = 133 parents) raters completed the DESSA, in addition to the Behavioral and Emotional Rating Scales-2 (BERS-2; Epstein, 2004) and/or the Behavior Assessment System…
Descriptors: Test Validity, Rating Scales, Correlation, Interrater Reliability
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Chafouleas, Sandra M.; Briesch, Amy M.; Riley-Tillman, T. Chris; McCoach, D. Betsy – School Psychology Quarterly, 2009
The purpose of this study was to develop and provide an initial examination of a self-report measure of intervention usage called the Usage Rating Profile-Intervention (URP-I). From an initial pool of 55 items, results of exploratory factor analysis and reliability estimates supported a measure containing 35 items and four factors as relevant…
Descriptors: Intervention, Factor Structure, Factor Analysis, Self Evaluation (Individuals)
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Griffiths, Amy-Jane; VanDerHeyden, Amanda M.; Skokut, Mary; Lilles, Elena – School Psychology Quarterly, 2009
Selecting appropriate measures to make decisions about child response to intervention is a key concern. The most commonly used assessment tool in response to intervention (RTI) models is curriculum-based measurement (CBM). However, an issue related to the use of CBM is the identification of measures that are of similar difficulty. To the degree…
Descriptors: Intervention, Curriculum Based Assessment, Reading Fluency, Student Reaction
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Sanetti, Lisa M. Hagermoser; Kratochwill, Thomas R. – School Psychology Quarterly, 2009
The Treatment Integrity Planning Protocol (TIPP) provides a structured process for collaboratively creating a treatment integrity assessment within a consultation framework. The authors evaluated the effect of the TIPP on the implementation of an intervention designed to improve the consistency of students' mathematics performance. Treatment…
Descriptors: Mathematics Achievement, Correlation, Intervention, Evaluation Problems
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Taub, Gordon E.; Keith, Timothy Z.; Floyd, Randy G.; Mcgrew, Kevin S. – School Psychology Quarterly, 2008
This study investigated the direct and indirect effects of general intelligence and 7 broad cognitive abilities on mathematics achievement. Structural equation modeling was used to investigate the simultaneous effects of both general and broad cognitive abilities on students' mathematics achievement. A hierarchical model of intelligence derived…
Descriptors: Cognitive Ability, Intelligence, Mathematics Achievement, Age Differences
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