This is the authors’ final, accepted and refereed manuscript to the articleThe residuals obtained from tting a structural equation model are crucial ingredients in obtaining chi-square goodness-of- t statistics for the model. We present a didactic discussion of the residuals, obtaining a geometrical interpretation by recognizing the residuals as the result of oblique projections. This sheds light on the concept of degrees of freedom of the model. We use a simple example to illustrate the theory and also to provide simulations of residuals in three dimensions. We then explain the rationale behind the formula for the residual-based test statistic. The formula for the statistic is deduced using linear algebra and large-sample theory....
Rosenblatt's transformation has been used extensively for the evaluation of model goodness-of-fit, b...
This paper considers testing for structural change of unknown form in the linear regression model as...
The purpose of this paper is to cover some techniques in sta-tistics that are important for testing ...
The residuals obtained from tting a structural equation model are crucial ingredients in obtaining ...
A number of different kinds of residuals are used in the analysis of generalized linear models. Gene...
2000 Mathematics Subject Classification: 60E10, 62G15, 62M20We introduce confidence residuals and st...
We propose a framework for constructing goodness-of-fit tests in both low and high dimensional linea...
Classical diagnostics for structural equation models are based on aggregate forms of the data and ar...
For structural equation models, a huge variety of fit indices has been developed. These indices, how...
The goodness-of-fit problem is addressed and two among the more efficient tests presently available ...
Residuals of fitting models: Comparison using Q-Q plots (left) and real vs. residual (right) for dif...
<p>Residual plot describing the goodness-of-fit determination for the severe case proportion to the ...
This paper makes the case for developing a statistical model to describe the behavior of the residua...
<p>Goodness-of-fit metrics: SSE = Sum of Squared Errors; r<sup>2</sup> = coefficient of determinatio...
This note contrasts the importance of the analysis of model residual values in assessing the invalid...
Rosenblatt's transformation has been used extensively for the evaluation of model goodness-of-fit, b...
This paper considers testing for structural change of unknown form in the linear regression model as...
The purpose of this paper is to cover some techniques in sta-tistics that are important for testing ...
The residuals obtained from tting a structural equation model are crucial ingredients in obtaining ...
A number of different kinds of residuals are used in the analysis of generalized linear models. Gene...
2000 Mathematics Subject Classification: 60E10, 62G15, 62M20We introduce confidence residuals and st...
We propose a framework for constructing goodness-of-fit tests in both low and high dimensional linea...
Classical diagnostics for structural equation models are based on aggregate forms of the data and ar...
For structural equation models, a huge variety of fit indices has been developed. These indices, how...
The goodness-of-fit problem is addressed and two among the more efficient tests presently available ...
Residuals of fitting models: Comparison using Q-Q plots (left) and real vs. residual (right) for dif...
<p>Residual plot describing the goodness-of-fit determination for the severe case proportion to the ...
This paper makes the case for developing a statistical model to describe the behavior of the residua...
<p>Goodness-of-fit metrics: SSE = Sum of Squared Errors; r<sup>2</sup> = coefficient of determinatio...
This note contrasts the importance of the analysis of model residual values in assessing the invalid...
Rosenblatt's transformation has been used extensively for the evaluation of model goodness-of-fit, b...
This paper considers testing for structural change of unknown form in the linear regression model as...
The purpose of this paper is to cover some techniques in sta-tistics that are important for testing ...