Items related to Testing Research Hypotheses Using Multiple Linear Regression
Multiple regression is becoming more widely used as the statistical technique for answering research hypotheses. This is so for several reasons: 1) the technique is extremely versatile; 2) the computer has made the technique more available to researchers; and 3) texts such as the authors’ earlier work are making the technique more available to researchers. The statistical technique of multiple regression allows the inclusion of numerous continuous (quantitative) and categorical (qualitative) variables in the prediction of some criterion.
Appendixes contain a multiple regression computer program and data on which the problems are based; a discussion of the similarities and differences between analysis of variance and multiple regression; and a computer program providing the regression solution to natural language research hypotheses.
"synopsis" may belong to another edition of this title.
About the Author:
Keith McNeil is President of Educational Monitoring Systems, Ann Arbor, Michigan.
Judy McNeil is Research Associate with High/Scope Education Research in Ypsilanti.
Francis J. Kelly is Professor of Guidance and Educational Psychology at Southern Illinois University.
"About this title" may belong to another edition of this title.
- PublisherSouthern Illinois University Press
- Publication date1975
- ISBN 10 0809307324
- ISBN 13 9780809307326
- BindingTextbook Binding
- Edition number1
- Number of pages608
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Testing Research Hypotheses Using Multiple Linear Regression
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Southern Illinois University Press
(1975)
ISBN 10: 0809307324
ISBN 13: 9780809307326
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Testing Research Hypotheses Using Multiple Linear Regression
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Brand: Southern Illinois University Press
(1975)
ISBN 10: 0809307324
ISBN 13: 9780809307326
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First Edition
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Book Description No binding. Condition: Good. First Edition. Multiple regression is becomingmore widely used as the statistical technique for answering research hypotheses. This is so for several reasons: 1) the technique is extremely versatile; 2) the computer has made the technique more available to researchers; and 3) texts such as the authors earlier work are making the technique more available to researchers. The statistical technique of multiple regression allows the inclusion of numerous continuous (quantitative) and categorical (qualitative) variables in the prediction of some criterion.Appendixes contain a multiple regression computer program and data on which the problems are based; a discussion of the similarities and differences between analysis of variance and multiple regression; and a computer program providing the regression solution to natural language research hypotheses. Seller Inventory # SONG0809307324
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