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Yangin, Banu – Hacettepe University Journal of Education, 2009
The aim of this study is to explore the possible relationships between the readiness and reading and writing performances of a group of children who are first graders in an elementary school in Turkey. The states of children in terms of school readiness, sound-letter relationships, and phonemic awareness were determined individually during the…
Descriptors: School Readiness, Phonemic Awareness, Interrater Reliability, Multiple Regression Analysis
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Rouse, Heather L.; Fantuzzo, John W. – Early Childhood Research Quarterly, 2009
The current research study used a developmental-epidemiological approach to examine the prevalence and impact of multiple risks on educational outcomes for an entire population of second grade children in a low-income, urban public school system. The Kids Integrated Data System (KIDS) provided information about children's entire histories of…
Descriptors: Homeless People, Child Abuse, Educational Objectives, Outcomes of Education
Sherbinko, Thomas, Jr. – ProQuest LLC, 2011
The purpose of this holistic case study with a mixed methods approach was two-fold: first, to investigate the extent to which elementary teachers in the BTSD sustained the use of formative assessment reform to regulate instruction, and second, to explore the factors that promoted fidelity to formative assessment reform. Although this study…
Descriptors: Qualitative Research, Formative Evaluation, Teacher Participation, Collegiality
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Bruno, Jennifer L.; Manis, Franklin R.; Keating, Patricia; Sperling, Anne J.; Nakamoto, Jonathan; Seidenberg, Mark S. – Journal of Experimental Child Psychology, 2007
The integrity of phonological representation/processing in dyslexic children was explored with a gating task in which children listened to successively longer segments (gates) of a word. At each gate, the task was to decide what the entire word was. Responses were scored for overall accuracy as well as the children's sensitivity to coarticulation…
Descriptors: Reading Skills, Language Aptitude, Dyslexia, Phonology
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Shieh, Gwowen – Psychometrika, 2007
The underlying statistical models for multiple regression analysis are typically attributed to two types of modeling: fixed and random. The procedures for calculating power and sample size under the fixed regression models are well known. However, the literature on random regression models is limited and has been confined to the case of all…
Descriptors: Sample Size, Monte Carlo Methods, Multiple Regression Analysis, Statistical Analysis
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Rammsayer, Thomas H.; Brandler, Susanne – Intelligence, 2007
The relation between general intelligence (psychometric "g") and temporal resolution capacity of the central nervous system was examined by assessing performance on eight different temporal tasks in a sample of 100 participants. Correlational and principal component analyses suggested a unitary timing mechanism, referred to as temporal "g".…
Descriptors: Psychometrics, Reaction Time, Multiple Regression Analysis, Intelligence
Hannan, Michael T.; And Others – 1975
Grouping is a statistical procedure through which members of the same group are considered as a single unit of observation. There are various ways to assign group membership and various ways to assign values of variables to groups. There are methodological problems associated with grouping in general and with particular methods of grouping. This…
Descriptors: Multiple Regression Analysis, Research Methodology, Sampling, Statistical Bias
Livingston, Samuel A.; Stanley, Julian C. – 1971
Although partial correlation is a correlation of residuals, the correlation of the true-score components of these residuals is not equivalent to the partial correlation of the true scores themselves. The source of this discrepancy is explained and its implications are briefly discussed. (Author)
Descriptors: Correlation, Multiple Regression Analysis, Statistical Analysis, True Scores
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Walton, Joseph M.; And Others – Multiple Linear Regression Viewpoints, 1978
Ridge regression is an approach to the problem of large standard errors of regression estimates of intercorrelated regressors. The effect of ridge regression on the estimated squared multiple correlation coefficient is discussed and illustrated. (JKS)
Descriptors: Correlation, Mathematical Models, Multiple Regression Analysis, Predictor Variables
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Rakow, Ernest A. – Multiple Linear Regression Viewpoints, 1978
Ridge regression is a technique used to ameliorate the problem of highly correlated independent variables in multiple regression analysis. This paper explains the fundamentals of ridge regression and illustrates its use. (JKS)
Descriptors: Correlation, Data Analysis, Multiple Regression Analysis, Predictor Variables
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Pohlmann, John T.; Moore, James F. – Multiple Linear Regression Viewpoints, 1977
A technique is presented which applies the Neyman theory of confidence intervals to interval estimation of the squared multiple correlation coefficient. A computer program is presented which can be used to apply the technique. (Author/JKS)
Descriptors: Computer Programs, Correlation, Hypothesis Testing, Multiple Regression Analysis
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Williams, John D. – Multiple Linear Regression Viewpoints, 1977
Using a recent innovation described by Pedhazur, a simpler regression solution to the repeated measures design is shown. Use of the techniques is described and an example is presented. (Author/JKS)
Descriptors: Analysis of Variance, Multiple Regression Analysis, Research Design
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Ramsay, J. O. – Psychometrika, 1977
A class of monotonic transformations which generalize the power transformation is fit to the independent and dependent variables in multiple regression so that the resulting additive relationship is optimized. Examples of analysis of real and artificial data are presented. (Author/JKS)
Descriptors: Measurement, Multiple Regression Analysis, Research Methodology, Transformations (Mathematics)
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Van de Geer, John P. – Psychometrika, 1984
A family of solutions for linear relations among k sets of variables is proposed. Solutions are compared with respect to their optimality properties. For each solution the appropriate stationary equations are given. For one example it is shown how the determinantal equation of the stationary equations can be interpreted. (Author/BW)
Descriptors: Correlation, Mathematical Models, Multiple Regression Analysis, Orthogonal Rotation
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Gross, Alan L; And Others – Journal of Educational and Psychological Measurement, 1974
Descriptors: Computer Programs, Hypothesis Testing, Multiple Regression Analysis, Programing
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