This book presents in compact form a framework based in probability theory and the general linear model family for students and researchers using regression and analysis of variance methods. Special emphasis is placed on problems of properly using statistical computer programs. The relation between regression and analysis of variance is developed by means of the theory of linear contrasts for the benefit of students and users not versed in matrix algebra. Much attention is given to choosing proper error estimates, calculating proper estimates of standard errors in a variety of designs, and dealing with the problems of unbalanced designs. Having taught research design and quantitative methods in psychology for many years, Estes has developed ways of simplifying the presentation of concepts and derivations so as to make the substance of important statistical results available to students and investigators who lack much mathematical background and/or much taste for doing derivations.
Designed to supplement standard texts used in graduate courses in intermediate and advanced statistics, research methods, and experimental design for psychologists or other behavioral scientists, this text also has something to offer experienced investigators: material on model testing and related topics not covered in textbooks or other readily available sources.
Die Inhaltsangabe kann sich auf eine andere Ausgabe dieses Titels beziehen.
This book presents in compact form a framework based in probability theory and the general linear model family for students and researchers using regression and analysis of variance methods. Special emphasis is placed on problems of properly using statistical computer programs. The relation between regression and analysis of variance is developed by means of the theory of linear contrasts for the benefit of students and users not versed in matrix algebra. Much attention is given to choosing proper error estimates, calculating proper estimates of standard errors in a variety of designs, and dealing with the problems of unbalanced designs. Having taught research design and quantitative methods in psychology for many years, Estes has developed ways of simplifying the presentation of concepts and derivations so as to make the substance of important statistical results available to students and investigators who lack much mathematical background and/or much taste for doing derivations.
Designed to supplement standard texts used in graduate courses in intermediate and advanced statistics, research methods, and experimental design for psychologists or other behavioral scientists, this text also has something to offer experienced investigators: material on model testing and related topics not covered in textbooks or other readily available sources.
„Über diesen Titel“ kann sich auf eine andere Ausgabe dieses Titels beziehen.
Anbieter: Better World Books, Mishawaka, IN, USA
Zustand: Good. Former library book; may include library markings. Used book that is in clean, average condition without any missing pages. Bestandsnummer des Verkäufers GRP81195679
Anbieter: Better World Books, Mishawaka, IN, USA
Zustand: Very Good. Used book that is in excellent condition. May show signs of wear or have minor defects. Bestandsnummer des Verkäufers 943373-6
Anbieter: The Bookshop at Beech Cottage, Newbury, Vereinigtes Königreich
Soft cover. Zustand: Very Good. No Jacket. 1st Edition. 159pp + ix prelims. VG/no jacket. Mauve coloured thin card covers with purple lettering on face and spine. Previous owner's sig on first title page. Appears hardly read. Bestandsnummer des Verkäufers 003160
Anzahl: 1 verfügbar