This volume offers social scientists a concise overview of multiple attribute decision making (MADM) methods, their characteristics and applicability and methods for solving MADM problems....
In this volume, Larry Toothaker provides the procedures that will enable researchers to establish the significance of differences between two comparable groups. Issues addressed include:...
In this volume, Larry Toothaker provides the procedures that will enable researchers to establish the significance of differences between two comparable groups. Issues addressed include:...
Through clear exposition and stepbystep procedures, Toothaker describes all the most important multiple comparison procedures along with relevant concepts, such as error rate, power, robustness...
A presentation and critique of the use of multiple measures of theoretical concepts for the assessment of validity (using the multitrait multimethod matrix) and reliability...
Berry and Feldman provide a systematic treatment of many of the major problems encountered in using regression analysis. The authors discuss: the consequences of violating...
Berry and Feldman provide a systematic treatment of many of the major problems encountered in using regression analysis. The authors discuss: the consequences of violating...
This successful book, now available in paperback, provides academics and researchers with a clear set of prescriptions for estimating, testing and probing interactions in regression...
Multiple Time Series Models introduces researchers and students to the different approaches to modeling multivariate time series data including simultaneous equations, ARIMA, error correction models,...
The problems of mixed race families in a racist society are fully explored in this qualitative, narrative study. Interviews with 21 biracial couples offer deep...
The problems of mixed race families in a racist society are fully explored in this qualitative, narrative study. Interviews with 21 biracial couples offer deep...
Nonlinear analysis of categorical variables, that is, a variable that can sort objects into a limited number of distinct groups called categories', is a useful...
Bray's monograph considers the multivariate form of analysis of variance (MANOVA). The primary emphasis of the book is on methods for interpreting MANOVA statistical analyses....
Can taxometric procedures be used to distinguish types (species, latent classes, taxa) from continua (dimensions, latent traits, factors); and, if so, how? Aimed at demystifying...
Can taxometric procedures be used to distinguish types (species, latent classes, taxa) from continua (dimensions, latent traits, factors); and, if so, how? Aimed at demystifying...
Which time series test should researchers choose to best describe the interactions among a set of time series variables? Providing guidelines for identifying the appropriate...
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This volume offers social scientists a concise overview of multiple attribute decision making (MADM) methods, their characteristics and applicability and methods for solving MADM problems....
In this volume, Larry Toothaker provides the procedures that will enable researchers to establish the significance of differences between two comparable groups. Issues addressed include:...
In this volume, Larry Toothaker provides the procedures that will enable researchers to establish the significance of differences between two comparable groups. Issues addressed include:...
Through clear exposition and stepbystep procedures, Toothaker describes all the most important multiple comparison procedures along with relevant concepts, such as error rate, power, robustness...
A presentation and critique of the use of multiple measures of theoretical concepts for the assessment of validity (using the multitrait multimethod matrix) and reliability...
Berry and Feldman provide a systematic treatment of many of the major problems encountered in using regression analysis. The authors discuss: the consequences of violating...
Berry and Feldman provide a systematic treatment of many of the major problems encountered in using regression analysis. The authors discuss: the consequences of violating...
This successful book, now available in paperback, provides academics and researchers with a clear set of prescriptions for estimating, testing and probing interactions in regression...
Multiple Time Series Models introduces researchers and students to the different approaches to modeling multivariate time series data including simultaneous equations, ARIMA, error correction models,...
The problems of mixed race families in a racist society are fully explored in this qualitative, narrative study. Interviews with 21 biracial couples offer deep...
The problems of mixed race families in a racist society are fully explored in this qualitative, narrative study. Interviews with 21 biracial couples offer deep...
Nonlinear analysis of categorical variables, that is, a variable that can sort objects into a limited number of distinct groups called categories', is a useful...
Bray's monograph considers the multivariate form of analysis of variance (MANOVA). The primary emphasis of the book is on methods for interpreting MANOVA statistical analyses....
Can taxometric procedures be used to distinguish types (species, latent classes, taxa) from continua (dimensions, latent traits, factors); and, if so, how? Aimed at demystifying...
Can taxometric procedures be used to distinguish types (species, latent classes, taxa) from continua (dimensions, latent traits, factors); and, if so, how? Aimed at demystifying...
Which time series test should researchers choose to best describe the interactions among a set of time series variables? Providing guidelines for identifying the appropriate...
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