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Henk A L Kiers - One of the best experts on this subject based on the ideXlab platform.
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Oblique Rotation in correspondence analysis a step forward in the search for the simplest interpretation
British Journal of Mathematical and Statistical Psychology, 2009Co-Authors: Urbano Lorenzoseva, Michel Van De Velden, Henk A L KiersAbstract:Correspondence analysis (CA) is a popular method that can be used to analyse relationships between categorical variables. It is closely related to several popular multivariate analysis methods such as canonical correlation analysis and principal component analysis. Like principal component analysis, CA solutions can be rotated orthogonally as well as Obliquely into a simple structure without affecting the total amount of explained inertia. However, some specific aspects of CA prevent standard Rotation procedures from being applied in a straightforward fashion. In particular, the role played by weights assigned to points and dimensions and the duality of CA solutions are unique to CA. For orthogonal simple structure Rotation, procedures recently have been proposed. In this paper, we construct Oblique Rotation methods for CA that take into account these specific difficulties. We illustrate the benefits of our Oblique Rotation procedure by means of two illustrative examples.
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car a matlab package to compute correspondence analysis with Rotations
Journal of Statistical Software, 2009Co-Authors: Urbano Lorenzoseva, Michel Van De Velden, Henk A L KiersAbstract:Correspondence analysis (CA) is a popular method that can be used to analyse relationships between categorical variables. Like principal component analysis, CA solutions can be rotated both orthogonally and Obliquely to simple structure without affecting the total amount of explained inertia. We describe a MATLAB package for computing CA. The package includes orthogonal and Oblique Rotation of axes. It is designed not only for advanced users of MATLAB but also for beginners. Analysis can be done using a user-friendly interface, or by using command lines. We illustrate the use of CAR with one example.
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Oblique Rotation in correspondence analysis a step forward in the simplest interpretation
Research Papers in Economics, 2007Co-Authors: Urbana Lorenzoseva, Michel Van De Velden, Henk A L KiersAbstract:Correspondence analysis (CA) is a popular method that can be used to analyze relationships between categorical variables. It is closely related to several popular multivariate analysis methods such as canonical correlation analysis and principal component analysis. Like principal component analysis, CA solutions can be rotated orthogonally as well as Obliquely to simple structure, without affecting the total amount of explained inertia. However, some specific aspects of CA prevent standard Rotation procedures from being applied in a straightforward fashion. In particular, the role played by weights assigned to points and dimensions, and the duality of CA solutions, are unique to CA. For orthogonal simple structure Rotation, recently procedures have been proposed. In this paper, we construct Oblique Rotation methods for CA that takes into account these specific difficulties. We illustrate the benefits of our Oblique Rotation procedure by means of two illustrative examples.
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Oblique Rotation in correspondence analysis a step forward in the simplest interpretation
Report Econometric Institute Erasmus University Rotterdam, 2007Co-Authors: Urbana Lorenzoseva, Michel Van De Velden, Henk A L KiersAbstract:textabstractCorrespondence analysis (CA) is a popular method that can be used to analyze relationships between categorical variables. It is closely related to several popular multivariate analysis methods such as canonical correlation analysis and principal component analysis. Like principal component analysis, CA solutions can be rotated orthogonally as well as Obliquely to simple structure, without affecting the total amount of explained inertia. However, some specific aspects of CA prevent standard Rotation procedures from being applied in a straightforward fashion. In particular, the role played by weights assigned to points and dimensions, and the duality of CA solutions, are unique to CA. For orthogonal simple structure Rotation, recently procedures have been proposed. In this paper, we construct Oblique Rotation methods for CA that takes into account these specific difficulties. We illustrate the benefits of our Oblique Rotation procedure by means of two illustrative examples.
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techniques for Oblique factor Rotation of two or more loading matrices to a mixture of simple structure and optimal agreement
British Journal of Mathematical and Statistical Psychology, 2002Co-Authors: Urbano Lorenzoseva, Henk A L Kiers, Jos Ten M F BergeAbstract:Three techniques are proposed for Oblique Rotation of two or more loading matrices to a mixture of simple structure and optimal agreement. The three techniques, consensus direct oblimin, consensus promin and consensus simple target Rotation, are compared to existing techniques and to each other, using artificial and real data. When agreement between solutions can be expected, the new techniques appear to be more useful than Oblique Rotation of each of the loading matrices separately. Consensus direct oblimin achieved the best results in terms of 'agreement between simple structures'; consensus promin was the technique that best recovered the underlying simple loading matrix; and consensus simple target Rotation seemed to give an interesting compromise between agreement and simple structure, focusing a little more on simplicity than consensus direct oblimin.
Myra S. Hunter - One of the best experts on this subject based on the ideXlab platform.
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The Hot Flush Beliefs Scale: A tool for assessing thoughts and beliefs associated with the experience of menopausal hot flushes and night sweats
2020Co-Authors: Melanie J. Rendall, Laura M. Simonds, Myra S. HunterAbstract:Abstract Objectives: Approximately 15-20 per cent of women experience their hot flushes and night sweats as problematic. There is some evidence that cognitive appraisals may help explain individual variation, and that cognitive behaviour therapy can alleviate related distress. This paper describes the development of the Hot Flush Beliefs Scale (HFBS), a questionnaire to assess women's appraisals, and reports on the reliability, validity and factor structure of the scale. Methods: An initial pool of 63 items was generated from several sources: empirical literature, clinicians' views, and in-depth interviews, with the aim of reflecting common thoughts and beliefs about flushes and sweats. A total of 103 women, aged 41-64 years completed the initial measure. Principal components analysis and principal axis factoring were applied to the data, with both orthogonal and Oblique Rotation to determine the most coherent and interpretable solution. Conclusions: Preliminary analysis of the HFBS reveals it to be a psychometrically sound instrument. The HFBS has the benefit of being grounded in women's 2 experiences and shows initial promise as a tool to aid further clinical and theoretical understanding of the impact of hot flushes and night sweats
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The Hot Flush Beliefs Scale: a tool for assessing thoughts and beliefs associated with the experience of menopausal hot flushes and night sweats.
Maturitas, 2008Co-Authors: Melanie J. Rendall, Laura M. Simonds, Myra S. HunterAbstract:Abstract Objectives Approximately 15–20% of women experience their hot flushes and night sweats as problematic. There is some evidence that cognitive appraisals may help explain individual variation, and that cognitive behaviour therapy can alleviate related distress. This paper describes the development of the Hot Flush Beliefs Scale (HFBS), a questionnaire to assess women's appraisals, and reports on the reliability, validity and factor structure of the scale. Methods An initial pool of 63 items was generated from several sources: empirical literature, clinicians’ views, and in-depth interviews, with the aim of reflecting common thoughts and beliefs about flushes and sweats. A total of 103 women, aged 41–64 years completed the initial measure. Principal components analysis and principal axis factoring were applied to the data, with both orthogonal and Oblique Rotation to determine the most coherent and interpretable solution. Results Exploratory factor analysis culminated in a 27-item measure comprising three dimensions: beliefs about self in social context; beliefs about coping with hot flushes; beliefs about coping with night sweats/sleep. The HFBS was internally consistent, with subscale alphas ranging from 0.78 to 0.93, and test–retest reliability 0.74–0.78. Validity was supported through correlations with other measures of mood and menopause beliefs. Conclusions Preliminary analysis of the HFBS reveals it to be a psychometrically sound instrument. The HFBS has the benefit of being grounded in women's experiences and shows initial promise as a tool to aid further clinical and theoretical understanding of the impact of hot flushes and night sweats.
Urbano Lorenzoseva - One of the best experts on this subject based on the ideXlab platform.
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robust promin a method for diagonally weighted factor Rotation
Liberabit: Revista Peruana de Psicología, 2019Co-Authors: Urbano Lorenzoseva, Pere J FerrandoAbstract:Oblique Rotation of factors is usually performed in exploratory factor analysis in order to achieve the best and simplest interpretation of the solution based on the prescribed number of factors. Currently available algorithms, however, do not take into account the fluctuation of the correlations on which the factor solution is based. If such correlations’ stability is low, the rotated solution obtained in a specific sample may substantially differ from the rotated solutions obtained in different samples from the same population. The present paper proposes a modified version of the Promin Rotation designed to achieve simple and stable rotated solutions through the samples. The usefulness of Robust Promin is illustrated by using an empirical example based on a real dataset. The procedure proposed in this paper has been implemented in the FACTOR factor analysis program version 10.9.
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a general approach for fitting pure exploratory bifactor models
Multivariate Behavioral Research, 2019Co-Authors: Urbano Lorenzoseva, Pere J FerrandoAbstract:This article proposes a procedure for fitting a pure exploratory bifactor solution in which the general factor is orthogonal to the group factors, but the loadings on the group factors can satisfy any orthogonal or Oblique Rotation criterion. The proposal combines orthogonal Procrustes Rotations with analytical Rotations and consists of a sequence of four steps. The basic input is a semispecified target matrix that can be (a) defined by the user, (b) obtained by using Schmid-Leiman orthogonalization, or (c) automatically built from a conventional unrestricted solution based on a prescribed number of factors. The relevance of the proposal and its advantages over existing procedures is discussed and assessed via simulation. Its feasibility in practice is illustrated with two empirical examples in the personality domain.
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Oblique Rotation in correspondence analysis a step forward in the search for the simplest interpretation
British Journal of Mathematical and Statistical Psychology, 2009Co-Authors: Urbano Lorenzoseva, Michel Van De Velden, Henk A L KiersAbstract:Correspondence analysis (CA) is a popular method that can be used to analyse relationships between categorical variables. It is closely related to several popular multivariate analysis methods such as canonical correlation analysis and principal component analysis. Like principal component analysis, CA solutions can be rotated orthogonally as well as Obliquely into a simple structure without affecting the total amount of explained inertia. However, some specific aspects of CA prevent standard Rotation procedures from being applied in a straightforward fashion. In particular, the role played by weights assigned to points and dimensions and the duality of CA solutions are unique to CA. For orthogonal simple structure Rotation, procedures recently have been proposed. In this paper, we construct Oblique Rotation methods for CA that take into account these specific difficulties. We illustrate the benefits of our Oblique Rotation procedure by means of two illustrative examples.
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car a matlab package to compute correspondence analysis with Rotations
Journal of Statistical Software, 2009Co-Authors: Urbano Lorenzoseva, Michel Van De Velden, Henk A L KiersAbstract:Correspondence analysis (CA) is a popular method that can be used to analyse relationships between categorical variables. Like principal component analysis, CA solutions can be rotated both orthogonally and Obliquely to simple structure without affecting the total amount of explained inertia. We describe a MATLAB package for computing CA. The package includes orthogonal and Oblique Rotation of axes. It is designed not only for advanced users of MATLAB but also for beginners. Analysis can be done using a user-friendly interface, or by using command lines. We illustrate the use of CAR with one example.
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techniques for Oblique factor Rotation of two or more loading matrices to a mixture of simple structure and optimal agreement
British Journal of Mathematical and Statistical Psychology, 2002Co-Authors: Urbano Lorenzoseva, Henk A L Kiers, Jos Ten M F BergeAbstract:Three techniques are proposed for Oblique Rotation of two or more loading matrices to a mixture of simple structure and optimal agreement. The three techniques, consensus direct oblimin, consensus promin and consensus simple target Rotation, are compared to existing techniques and to each other, using artificial and real data. When agreement between solutions can be expected, the new techniques appear to be more useful than Oblique Rotation of each of the loading matrices separately. Consensus direct oblimin achieved the best results in terms of 'agreement between simple structures'; consensus promin was the technique that best recovered the underlying simple loading matrix; and consensus simple target Rotation seemed to give an interesting compromise between agreement and simple structure, focusing a little more on simplicity than consensus direct oblimin.
Melanie J. Rendall - One of the best experts on this subject based on the ideXlab platform.
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The Hot Flush Beliefs Scale: A tool for assessing thoughts and beliefs associated with the experience of menopausal hot flushes and night sweats
2020Co-Authors: Melanie J. Rendall, Laura M. Simonds, Myra S. HunterAbstract:Abstract Objectives: Approximately 15-20 per cent of women experience their hot flushes and night sweats as problematic. There is some evidence that cognitive appraisals may help explain individual variation, and that cognitive behaviour therapy can alleviate related distress. This paper describes the development of the Hot Flush Beliefs Scale (HFBS), a questionnaire to assess women's appraisals, and reports on the reliability, validity and factor structure of the scale. Methods: An initial pool of 63 items was generated from several sources: empirical literature, clinicians' views, and in-depth interviews, with the aim of reflecting common thoughts and beliefs about flushes and sweats. A total of 103 women, aged 41-64 years completed the initial measure. Principal components analysis and principal axis factoring were applied to the data, with both orthogonal and Oblique Rotation to determine the most coherent and interpretable solution. Conclusions: Preliminary analysis of the HFBS reveals it to be a psychometrically sound instrument. The HFBS has the benefit of being grounded in women's 2 experiences and shows initial promise as a tool to aid further clinical and theoretical understanding of the impact of hot flushes and night sweats
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The Hot Flush Beliefs Scale: a tool for assessing thoughts and beliefs associated with the experience of menopausal hot flushes and night sweats.
Maturitas, 2008Co-Authors: Melanie J. Rendall, Laura M. Simonds, Myra S. HunterAbstract:Abstract Objectives Approximately 15–20% of women experience their hot flushes and night sweats as problematic. There is some evidence that cognitive appraisals may help explain individual variation, and that cognitive behaviour therapy can alleviate related distress. This paper describes the development of the Hot Flush Beliefs Scale (HFBS), a questionnaire to assess women's appraisals, and reports on the reliability, validity and factor structure of the scale. Methods An initial pool of 63 items was generated from several sources: empirical literature, clinicians’ views, and in-depth interviews, with the aim of reflecting common thoughts and beliefs about flushes and sweats. A total of 103 women, aged 41–64 years completed the initial measure. Principal components analysis and principal axis factoring were applied to the data, with both orthogonal and Oblique Rotation to determine the most coherent and interpretable solution. Results Exploratory factor analysis culminated in a 27-item measure comprising three dimensions: beliefs about self in social context; beliefs about coping with hot flushes; beliefs about coping with night sweats/sleep. The HFBS was internally consistent, with subscale alphas ranging from 0.78 to 0.93, and test–retest reliability 0.74–0.78. Validity was supported through correlations with other measures of mood and menopause beliefs. Conclusions Preliminary analysis of the HFBS reveals it to be a psychometrically sound instrument. The HFBS has the benefit of being grounded in women's experiences and shows initial promise as a tool to aid further clinical and theoretical understanding of the impact of hot flushes and night sweats.
Michel Van De Velden - One of the best experts on this subject based on the ideXlab platform.
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MultipleCar: A Graphical User Interface MATLAB Toolbox to Compute Multiple Correspondence Analysis
Journal of Statistical Software, 2018Co-Authors: Urbano Lorenzo-seva, Michel Van De VeldenAbstract:In this paper we present the toolbox MultipleCar, which is a general program for computing multiple correspondence analysis and which was designed using a graphical user interface. The procedures implemented in MultipleCar are the usual ones that are already available in other applications, plus some additional procedures. MultipleCar makes it possible to compute (1) joint correspondence analysis, and (2) orthogonal and Oblique Rotation of coordinates. Although MultipleCar was developed in MATLAB, we compiled it as a standalone application for Windows operative systems based on graphical user interfaces. The users can decide whether to use the advanced MATLAB version of MultipleCar, or the standalone version (which does not require any programming skills).
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Oblique Rotation in correspondence analysis a step forward in the search for the simplest interpretation
British Journal of Mathematical and Statistical Psychology, 2009Co-Authors: Urbano Lorenzoseva, Michel Van De Velden, Henk A L KiersAbstract:Correspondence analysis (CA) is a popular method that can be used to analyse relationships between categorical variables. It is closely related to several popular multivariate analysis methods such as canonical correlation analysis and principal component analysis. Like principal component analysis, CA solutions can be rotated orthogonally as well as Obliquely into a simple structure without affecting the total amount of explained inertia. However, some specific aspects of CA prevent standard Rotation procedures from being applied in a straightforward fashion. In particular, the role played by weights assigned to points and dimensions and the duality of CA solutions are unique to CA. For orthogonal simple structure Rotation, procedures recently have been proposed. In this paper, we construct Oblique Rotation methods for CA that take into account these specific difficulties. We illustrate the benefits of our Oblique Rotation procedure by means of two illustrative examples.
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Oblique Rotation in correspondence analysis a step forward in the simplest interpretation
Research Papers in Economics, 2007Co-Authors: Urbana Lorenzoseva, Michel Van De Velden, Henk A L KiersAbstract:Correspondence analysis (CA) is a popular method that can be used to analyze relationships between categorical variables. It is closely related to several popular multivariate analysis methods such as canonical correlation analysis and principal component analysis. Like principal component analysis, CA solutions can be rotated orthogonally as well as Obliquely to simple structure, without affecting the total amount of explained inertia. However, some specific aspects of CA prevent standard Rotation procedures from being applied in a straightforward fashion. In particular, the role played by weights assigned to points and dimensions, and the duality of CA solutions, are unique to CA. For orthogonal simple structure Rotation, recently procedures have been proposed. In this paper, we construct Oblique Rotation methods for CA that takes into account these specific difficulties. We illustrate the benefits of our Oblique Rotation procedure by means of two illustrative examples.
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Oblique Rotation in correspondence analysis a step forward in the simplest interpretation
Report Econometric Institute Erasmus University Rotterdam, 2007Co-Authors: Urbana Lorenzoseva, Michel Van De Velden, Henk A L KiersAbstract:textabstractCorrespondence analysis (CA) is a popular method that can be used to analyze relationships between categorical variables. It is closely related to several popular multivariate analysis methods such as canonical correlation analysis and principal component analysis. Like principal component analysis, CA solutions can be rotated orthogonally as well as Obliquely to simple structure, without affecting the total amount of explained inertia. However, some specific aspects of CA prevent standard Rotation procedures from being applied in a straightforward fashion. In particular, the role played by weights assigned to points and dimensions, and the duality of CA solutions, are unique to CA. For orthogonal simple structure Rotation, recently procedures have been proposed. In this paper, we construct Oblique Rotation methods for CA that takes into account these specific difficulties. We illustrate the benefits of our Oblique Rotation procedure by means of two illustrative examples.