Research and evaluation in the human services usually involves a relatively large number of variables. We are interested in phenomena that have many aspects and many causes. The techniques needed to deal with many variables go beyond those of introductory statistics. Elementary procedures in statistics are limited in usefulness to situations in which we have two or three variables. When we have more than that, application of elementary techniques will often yield mis leading results. Why are elementary techniques inadequate when applied to many variables? Why, for example, should we not simply interpret a series of correlations of independent and dependent variables? The answer lies in the fact that these correlations are not independent pieces of information. The correlations of vari ables x and z with yare affected by the association of x with z. Hence, talk about the "effect" of x on y will be somewhat ambiguous, since we will be in cluding in that effect some of the effects of z. We would like to be able to sort out these effects. This is the problem of "estimation," that is, estimating the relationships or effects between variables, taking into account their relationships with other variables.
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Research and evaluation in the human services usually involves a relatively large number of variables. We are interested in phenomena that have many aspects and many causes. The techniques needed to deal with many variables go beyond those of introductory statistics. Elementary procedures in statistics are limited in usefulness to situations in which we have two or three variables. When we have more than that, application of elementary techniques will often yield mis leading results. Why are elementary techniques inadequate when applied to many variables? Why, for example, should we not simply interpret a series of correlations of independent and dependent variables? The answer lies in the fact that these correlations are not independent pieces of information. The correlations of vari ables x and z with yare affected by the association of x with z. Hence, talk about the "effect" of x on y will be somewhat ambiguous, since we will be in cluding in that effect some of the effects of z. We would like to be able to sort out these effects. This is the problem of "estimation," that is, estimating the relationships or effects between variables, taking into account their relationships with other variables.
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Taschenbuch. Condición: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Research and evaluation in the human services usually involves a relatively large number of variables. We are interested in phenomena that have many aspects and many causes. The techniques needed to deal with many variables go beyond those of introductory statistics. Elementary procedures in statistics are limited in usefulness to situations in which we have two or three variables. When we have more than that, application of elementary techniques will often yield mis leading results. Why are elementary techniques inadequate when applied to many variables Why, for example, should we not simply interpret a series of correlations of independent and dependent variables The answer lies in the fact that these correlations are not independent pieces of information. The correlations of vari ables x and z with yare affected by the association of x with z. Hence, talk about the 'effect' of x on y will be somewhat ambiguous, since we will be in cluding in that effect some of the effects of z. We would like to be able to sort out these effects. This is the problem of 'estimation,' that is, estimating the relationships or effects between variables, taking into account their relationships with other variables. 292 pp. Englisch. Nº de ref. del artículo: 9789400966635
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Condición: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Research and evaluation in the human services usually involves a relatively large number of variables. We are interested in phenomena that have many aspects and many causes. The techniques needed to deal with many variables go beyond those of introductory s. Nº de ref. del artículo: 5829015
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Taschenbuch. Condición: Neu. Multivariate Analysis in the Human Services | J. R. Schuerman | Taschenbuch | xiv | Englisch | 2011 | Springer | EAN 9789400966635 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu. Nº de ref. del artículo: 105626259
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Taschenbuch. Condición: Neu. This item is printed on demand - Print on Demand Titel. Neuware -Research and evaluation in the human services usually involves a relatively large number of variables. We are interested in phenomena that have many aspects and many causes. The techniques needed to deal with many variables go beyond those of introductory statistics. Elementary procedures in statistics are limited in usefulness to situations in which we have two or three variables. When we have more than that, application of elementary techniques will often yield mis leading results. Why are elementary techniques inadequate when applied to many variables Why, for example, should we not simply interpret a series of correlations of independent and dependent variables The answer lies in the fact that these correlations are not independent pieces of information. The correlations of vari ables x and z with yare affected by the association of x with z. Hence, talk about the 'effect' of x on y will be somewhat ambiguous, since we will be in cluding in that effect some of the effects of z. We would like to be able to sort out these effects. This is the problem of 'estimation,' that is, estimating the relationships or effects between variables, taking into account their relationships with other variables.Springer-Verlag KG, Sachsenplatz 4-6, 1201 Wien 292 pp. Englisch. Nº de ref. del artículo: 9789400966635
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Taschenbuch. Condición: Neu. Druck auf Anfrage Neuware - Printed after ordering - Research and evaluation in the human services usually involves a relatively large number of variables. We are interested in phenomena that have many aspects and many causes. The techniques needed to deal with many variables go beyond those of introductory statistics. Elementary procedures in statistics are limited in usefulness to situations in which we have two or three variables. When we have more than that, application of elementary techniques will often yield mis leading results. Why are elementary techniques inadequate when applied to many variables Why, for example, should we not simply interpret a series of correlations of independent and dependent variables The answer lies in the fact that these correlations are not independent pieces of information. The correlations of vari ables x and z with yare affected by the association of x with z. Hence, talk about the 'effect' of x on y will be somewhat ambiguous, since we will be in cluding in that effect some of the effects of z. We would like to be able to sort out these effects. This is the problem of 'estimation,' that is, estimating the relationships or effects between variables, taking into account their relationships with other variables. Nº de ref. del artículo: 9789400966635
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