Articles using multiple regression analysis
[DOC File]PSY 532 Data Analysis I (formerly Data Collection)
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Chapter 2, “Simple linear regression and correlation,” & Chapter 5, “Elements of multiple regression analysis: Two independent variables” in Pedhazur, E.J. (1997). Multiple regression in behavioral research: Explanation and prediction (3rd Edition). Fort Worth, TX: Harcourt Brace. 1/23 Path Analysis
[DOCX File]A Template for Design and Critique of Research
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Conduct a multiple regression using each student’s group (treatment or control) and demographic data to predict the number of credits taken. Conduct a logistic regression using each student’s group and demographic data to predict whether or not they register for credits in …
[DOCX File]UNIVERSITY OF FLORIDA
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COURSE DESCRIPTIONThis course provides the student with the opportunity to examine procedures for advanced multivariate statistical procedures as applied in research. Emphasis is on the utilization and interpretation of multivariate procedures. An additional emphasis will be on critiquing data analysis in current research articles.
[DOCX File]home.ubalt.edu
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Multiple Regression Analysis using SPSS. Introduction. Multiple regression is an extension of simple linear regression. It is used when we want to predict the value of a variable based on the value of two or more other variables. The variable we want to predict is called the dependent variable (or sometimes, the outcome, target or criterion ...
[DOC File]Regression and multiple comparisons
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Make sure in your peer review that people used a Bonferroni correction if they looked at the same data in multiple ways. 3. Multiple regression. Multiple regression is just an expansion of simple linear regression. In simple linear regression, you fit a straight line using dependent (y) and independent (x) variables: Y=m1x + b
cie.asu.edu
For example, multiple regression, linear regression, Kormogrov Smirnov, MANOVA, and path analysis on this list can be grouped into a single category of multivariate statistics. Same table also presents the percentages of the number of different statistical techniques analysis used in the same study.
[DOC File]PSY 532 Data Analysis I (formerly Data Collection)
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This course assumes that students have taken a graduate statistics course that covers simple and multiple regression analysis. Overview. This course is intended to introduce students to structural equation modeling. Structural equation modeling (sometimes referred to as covariance structural analysis) is a regression-based technique that ...
[DOCX File]UNIVERSITY OF FLORIDA
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Multiple regression. Repeated Measures ANOVA. Multi-level modeling. Probablistic statistics. Logistic Regression. Cox Hazards Regression. Survival Analysis. TEACHING METHODS. Lectures, readings, computer exercises, and class discussion. LEARNING ACTIVTIES. Interpretation of …
[DOC File]Predicting competition performance in long-distance ...
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The influence of additional independent variables on competition performance was tested using a forward multiple stepwise regression (1). A value of P = 0.250 was selected as the probability to enter for the stepwise regression. All parameters were tested for normal distribution by the Shapiro-Wilks test for normality before further analysis.
[DOC File]WRITING UP POWER ANALYSES
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Cohen, 1988). A power analysis using the Gpower computer. program (Faul & Erdfelder, 1998) indicated that a total sample. of 56 people would be needed to detect large effects (d=.8) with. 90% power using a t test between means with alpha at .05. A. total sample of 43 people would be needed to detect large effects (d=.5) with 90% power using chi ...
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