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Kohen, Dafna E.; Leventhal, Tama; Dahinten, V. Susan; McIntosh, Cameron N. – Child Development, 2008
The present study used Canadian National Longitudinal data to examine a model of the mechanisms through which the effects of neighborhood socioeconomic conditions impact young children's verbal and behavioral outcomes (N = 3,528; M age = 5.05 years, SD= 0.86). Integrating elements of social disorganization theory and family stress models, and…
Descriptors: Neighborhoods, Structural Equation Models, Disadvantaged, Young Children
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Behar-Horenstein, Linda S.; Leite, Walter – Curriculum and Teaching, 2011
The authors describe the steps used to develop an initial version of the Student-Centered Teachers Beliefs Survey (SC-TBS), as well as a single validity study using a unified latent variable framework. The SC-TBS is proposed as an instrument for teachers to assess the degree to which they believe that they use specified practices that promote…
Descriptors: Student Centered Learning, Teaching Methods, Teacher Surveys, Teacher Attitudes
Lowenstein, Amy E.; Raver, C. Cybele; Jones, Stephanie M.; Zhai, Fuhua; Pess, Rachel A. – Society for Research on Educational Effectiveness, 2011
Past research on school-level factors that predict children's development has focused largely on associations between a limited number of characteristics, such as school size and school resources, and children's academic achievement. Few studies take a more comprehensive look at the measurement of school climate or examine its relationship to…
Descriptors: Structural Equation Models, Academic Achievement, Kindergarten, Individualized Education Programs
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Pfannenstiel, Judy; Lente-Jojola, Debbie – Journal of American Indian Education, 2011
This study investigates the effects of the Family and Child Education (FACE) prekindergarten program on school readiness. The FACE program is located in Bureau of Indian Education-funded schools on some of the most rural American Indian (AI) reservations in the United States. It explicitly integrates the language and culture of the communities in…
Descriptors: School Readiness, American Indians, Standardized Tests, Academic Achievement
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Sharabi, Adi; Margalit, Malka – Journal of Learning Disabilities, 2011
This study evaluated a multidimensional model of loneliness as related to risk and protective factors among adolescents with learning disabilities (LD). The authors aimed to identify factors that mediated loneliness among 716 adolescents in Grades 10 through 12 who were studying in high schools or in Youth Education Centers for at-risk…
Descriptors: Testing Accommodations, Interpersonal Communication, Structural Equation Models, Learning Disabilities
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Ulrich, Jana; Karvonen, Meagan – Internet and Higher Education, 2011
Higher educational institutions face mounting challenges to the way they operate, including a growing population of demographically diverse students who demand flexibility in course delivery, timing, and content. Web 2.0 applications can be important components in implementing the required change. Implementation, however, requires faculty…
Descriptors: Structural Equation Models, Online Courses, Prior Learning, Innovation
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Serbin, Lisa A.; Temcheff, Caroline E.; Cooperman, Jessica M.; Stack, Dale M.; Ledingham, Jane; Schwartzman, Alex E. – International Journal of Behavioral Development, 2011
This 30-year longitudinal study examined pathways from problematic childhood behavior patterns to future disadvantaged conditions for family environment and child rearing in adulthood. Participants were mothers (n = 328) and fathers (n = 222) with lower income backgrounds participating in the ongoing Concordia Longitudinal Risk Project. Structural…
Descriptors: Behavior Patterns, Poverty, Mothers, Structural Equation Models
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Newsom, Jason T. – Structural Equation Modeling, 2002
Proposes a novel structural modeling approach based on latent growth curve model specifications for use with dyadic data. The approach allows researchers to test more sophisticated causal models, incorporate latent variables, and estimate more complex error structures than is currently possible using hierarchical linear modeling or multilevel…
Descriptors: Structural Equation Models
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Hancock, Gregory R. – Structural Equation Modeling, 1999
Proposes an analog to the Scheffe test (H. Scheffe, 1953) to be applied to the exploratory model-modification scenario. The method is a sequential finite-intersection multiple-comparison procedure that controls the Type I error rate to a desired alpha level across all possible post hoc model modifications. (SLD)
Descriptors: Structural Equation Models
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Marcoulides, George A.; Drezner, Zvi; Schumacker, Randall E. – Structural Equation Modeling, 1998
Introduces an alternative structural equation modeling (SEM) specification search approach based on the Tabu search procedure. Using data with known structure, the procedure is illustrated, and its capabilities for specification searches in SEM are demonstrated. (Author/SLD)
Descriptors: Structural Equation Models
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Raykov, Tenko – Structural Equation Modeling, 2000
Provides counterexamples where the covariance matrix provides crucial information about consequential model misspecifications and cautions researchers about overinterpreting the conclusion of D. Rogosa and J. Willett (1985) that the covariance matrix is a severe summary of longitudinal data that may discard crucial information about growth. (SLD)
Descriptors: Structural Equation Models
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Rubio, Doris McGartland; Berg-Weger, Marla; Tebb, Susan S. – Structural Equation Modeling, 2001
Illustrates how structural equation modeling can be used to test the multidimensionality of a measure. Using data collected on a multidimensional measure, compares an oblique factor model with a higher order factor model, and shows how the oblique factor model fits the data better. (SLD)
Descriptors: Structural Equation Models
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Vautier, Stephane; Steyer, Rolf; Jmel, Said; Raufaste, Eric – Structural Equation Modeling, 2005
How is affective change rated with positive adjectives such as good related to change rated with negative adjectives such as bad? Two nested perfect and imperfect forms of dynamic bipolarity are defined using latent change structural equation models based on tetrads of items. Perfect bipolarity means that latent change scores correlate -1.…
Descriptors: Structural Equation Models
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Fan, Xitao; Sivo, Stephen A. – Structural Equation Modeling, 2005
In previous research (Hu & Bentler, 1998, 1999), 2 conclusions were drawn: standardized root mean squared residual (SRMR) was the most sensitive to misspecified factor covariances, and a group of other fit indexes were most sensitive to misspecified factor loadings. Based on these findings, a 2-index strategy-that is, SRMR coupled with another…
Descriptors: Structural Equation Models
Fung, Terence Yip-hung – ProQuest LLC, 2010
Under the George W. Bush U.S. presidential administration, the federal government pushed for greater accountability among institutions of higher education for educational outcomes. Graduation rate is a key performance indicator of institutional accountability. Previous researchers of student attrition focused primarily on the effects of student…
Descriptors: Graduation Rate, Structural Equation Models, Educational Objectives, Institutional Characteristics
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