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Bodner, Todd E. – Journal of Educational and Behavioral Statistics, 2016
This article revisits how the end points of plotted line segments should be selected when graphing interactions involving a continuous target predictor variable. Under the standard approach, end points are chosen at ±1 or 2 standard deviations from the target predictor mean. However, when the target predictor and moderator are correlated or the…
Descriptors: Graphs, Multiple Regression Analysis, Predictor Variables, Correlation
Wells, Jenny C.; Sheehey, Patricia H.; Sheehey, Michael – Beyond Behavior, 2017
Self-regulation skills have been found to be an important predictor of achievement in mathematics. Teaching a student to regulate his or her behavior during independent math work sessions using self-monitoring of performance with self-graphing focuses him or her on academic performance and results in increases in productivity and math proficiency.…
Descriptors: Productivity, Self Management, Mathematics Achievement, Predictor Variables
Robertson, Bill – Science and Children, 2014
At first glance it seems easy to attribute cause and effect when it's not applicable, either through mistakenly taking every correlation as a cause and effect relationship, misinterpreting the meaning of independent and dependent variables, or not focusing on direct causes. Sometimes it's easy to help students understand where…
Descriptors: Science Instruction, Elementary School Science, Scientific Concepts, Correlation
Sole, Marla A. – Mathematics Teacher, 2016
Every day, students collect, organize, and analyze data to make decisions. In this data-driven world, people need to assess how much trust they can place in summary statistics. The results of every survey and the safety of every drug that undergoes a clinical trial depend on the correct application of appropriate statistics. Recognizing the…
Descriptors: Statistics, Mathematics Instruction, Data Collection, Teaching Methods
Peer reviewedColl, Joan H.; Coll, Richard – Information Processing and Management, 1993
Describes and organizes the variables affecting display presentation format (i.e., tables and graphs) in information systems into a classification scheme and creates a framework for research in this area. Two-factor studies are discussed; research recommendations are presented; and Cognitive Match Interface Design is explained. (Contains 31…
Descriptors: Classification, Display Aids, Graphs, Information Systems
Solomon, David J.; And Others – 1989
A procedure for developing a nomogram that depicts expectancy of success on a criterion from performance on two predictors is presented. Data from 574 medical students attending Michigan State University College of Human Medicine's classes of 1979 through 1984 were used to develop a model for predicting the expectancy of success on Part I of the…
Descriptors: College Entrance Examinations, Expectancy Tables, Expectation, Grade Point Average
Peer reviewedCarr, James E.; Austin, John – Teaching of Psychology, 1997
Provides a brief overview of single-subject research designs. This method exercises its power by examining changes in single subjects' responses over time across experimental conditions. Describes a classroom project in which students collect repeated measures of their own behavior and graph the data. (MJP)
Descriptors: Causal Models, Data Collection, Data Interpretation, Demonstrations (Educational)
Frymier, Jack; And Others – 1992
The Phi Delta Kappa Study of Students At Risk assessed who is at risk, what puts students at risk, what schools are doing to help those students, and how effective these efforts are. Data were provided on at-risk students in 85 U.S. and Canadian communities by teachers who knew each student best and had access to a student's school records. This…
Descriptors: Academic Failure, Case Studies, Disadvantaged Youth, Economically Disadvantaged

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