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Pettersen, Sverre; Olsen, Rolf V. – Advances in Health Sciences Education, 2007
This study demonstrated that a "less scientific worldview" predicted health science (HS) students' positive attitude towards "complementary-alternative medicine" (CAM), independently of important background characteristics as gender, pre-college science immersion, age, and type of HS education of the students. A total of 473 students in their…
Descriptors: Student Attitudes, Medicine, Multiple Regression Analysis, Sciences
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Ehlen, Patrick; Schober, Michael F.; Conrad, Frederick G. – Discourse Processes: A Multidisciplinary Journal, 2007
Computer-based interviewing systems could use models of respondent disfluency behaviors to predict a need for clarification of terms in survey questions. This study compares simulated speech interfaces that use two such models--a generic model and a stereotyped model that distinguishes between the speech of younger and older speakers--to several…
Descriptors: Artificial Speech, Reaction Time, Surveys, Interviews
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Cramer, Elliot M. – Multivariate Behavioral Research, 1974
Descriptors: Correlation, Matrices, Multiple Regression Analysis, Multivariate Analysis
Lopez Alonso, A. O. – 1974
A linear relationship was found between judgements given by 160 subjects to 7 objects presented as single stimuli (alpha judgements) and judgements given to the same objects presented with a condition (gamma judgements). This relationship holds for alpha judgements and the gamma judgements that belong to a family of constant stimulus and varying…
Descriptors: Evaluative Thinking, Multiple Regression Analysis, Responses, Stimuli
Lopez Alonso, A. O. – 1974
From the best-fit lines corresponding to sets of families of conditional judgements, the constant stimulus family and the constant condition family, both defined for a same scale object, the coordinate values of the point of intersection of both lines (indifference point) are obtained. These values are studied in relation to the mean values of the…
Descriptors: Evaluative Thinking, Multiple Regression Analysis, Responses, Stimuli
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Marquette, J. F.; Dufala, M. M. – Multiple Linear Regression Viewpoints, 1978
Ridge regression is an approach to ameliorating the problem of large standard errors of regression estimates when predictor variables are highly intercorrelated. An interactive computer program is presented which allows for investigation of the effects of using various ridge regression adjustment values. (JKS)
Descriptors: Computer Programs, Multiple Regression Analysis, Predictor Variables
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Olkin, Ingram – Psychometrika, 1981
It is known that for trivariate distributions, if two correlations are fixed, the remaining correlation is constrained. If just one is fixed, the remaining two are constrained. Both results are extended to the case of a multivariate distribution. (Author/JKS)
Descriptors: Correlation, Data Analysis, Matrices, Multiple Regression Analysis
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Tzelgov, Joseph; Henik, Avishai – Educational and Psychological Measurement, 1981
Velicer (1978) defines suppression situations in terms of the relations between part correlation and zero order validity. Conger (1974) defines suppressor in terms of regression weights. The present work clarifies the difference between the two approaches: Velicer's suppressor circumscribes only a subset of the suppression situations as defined by…
Descriptors: Multiple Regression Analysis, Research Problems, Suppressor Variables
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Stavig, Gordon R. – Journal of Experimental Education, 1981
To facilitate statistical decisions about sets of results encompassing more than a single isolated test, a joint probability multiple comparisons significance test for path analysis, multiple regression, and a correlation matrix is developed. (Author/AEF)
Descriptors: Correlation, Multiple Regression Analysis, Path Analysis, Probability
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Huberty, Carl J.; Mourad, Salah A. – Educational and Psychological Measurement, 1980
Real data are used to illustrate the comparison of two estimators for the square of a population correlation coefficient and the true validity of a sample prediction equation. Interpretive approaches to, and problems in, multiple correlation/prediction estimation are discussed. (Author/BW)
Descriptors: Correlation, Multiple Regression Analysis, Predictive Measurement, Validity
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And Others; Young, Forrest W. – Psychometrika, 1976
A method is discussed which extends canonical regression analysis to the situation where the variables may be measured as nominal, ordinal, or interval, and where they may be either continuous or discrete. The method, which is purely descriptive, uses an alternating least squares algorithm and is robust. Examples are provided. (Author/JKS)
Descriptors: Least Squares Statistics, Measurement, Multiple Regression Analysis
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Davison, Mark L. – Psychometrika, 1976
Cross-validation procedures are proposed as a supplement to significance testing for external analysis of models relating stimulus preferences to known multidimensional scale values (Preference models). Examples of the usefulness of the validation procedures are provided. (Author/JKS)
Descriptors: Multidimensional Scaling, Multiple Regression Analysis, Sociometric Techniques
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Huberty, Carl J.; Morris, John D. – Educational and Psychological Measurement, 1988
The multitude of procedures for testing hypotheses about mean contrasts often presented in statistical methods textbooks is unwarranted. This article demonstrates that nearly all such research can be handled by a single contrast test statistic often attributed to R. A. Fisher. (TJH)
Descriptors: Analysis of Variance, Multiple Regression Analysis, Probability
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Jaccard, James; And Others – Multivariate Behavioral Research, 1990
Issues in the detection and interpretation of interaction effects between quantitative variables in multiple regression analysis are discussed. Recent discussions associated with problems of multicollinearity are reviewed in the context of the conditional nature of multiple regression with product terms. (TJH)
Descriptors: Equations (Mathematics), Mathematical Models, Multiple Regression Analysis
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Porter, Russell; Flanders, Joanne; Parsons, Stacie – Educational Gerontology, 2004
Cognitive care training, also known as dementia training, has changed significantly, and negatively, since 1993 in New York State nursing homes. The research reported in this paper examines the employment requirements for cognitive care training and the actual post-employment cognitive care training. The research involved a replication of the…
Descriptors: Dementia, Nurses, Multiple Regression Analysis, Nursing Homes
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