Ipsative measurement and the analysis of organizational values: an alternative approach for data analysis

Eijnatten, van Fm Frans; Ark, van der La; Holloway, SS Sjana

doi:10.1007/s11135-014-0009-8

Cited by 37 publications

(34 citation statements)

References 83 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…CODA has the twofold objective of making compositional data statistically treatable and of getting the most of the relative information carried by the data. Social scientists have recently become aware of the CODA tradition, and have successfully used it when faced to similar problems (e.g., Coenders et al, 2011; Fry, 2011; Kogovšek et al, 2013; Ferrer-Rosell et al, 2015, in press; Trendafilov and Gallo, 2015; van Eijnatten et al, 2015; Vives-Mestres et al, 2015). The problem of possible fixed sum representation and the interest in relative information are shared by KLSI researchers who can thus benefit from using CODA.…”

Section: Methodsmentioning

confidence: 99%

“…“The use of ipsative measurement in social science research remains controversial […] problems with the correct understanding of the results, and complaints by respondents that it is very hard to fill out questionnaires containing forced-choice items are well-known dilemmas […] to start solving the problem of the statistical analysis […] is an essential first step to put an end to the long-lasting controversy about the use of ipsative measures in scientific research” (van Eijnatten et al, 2015, p. 574). There have been efforts to address ipsativity in the KLSI: “Ipsative measures can, under certain conditions, be effectively transformed to non-ipsative ones” (Mainemelis et al, 2002, p.10).…”

Section: Introductionmentioning

confidence: 99%

“…Notwithstanding, the subtracted scores are bounded, so they violate the usual assumption of any model with an unbounded (e.g., normal) distribution of the error term, which is a type zero error. Fortunately, unique solutions for the statistical analysis of ipsative data have been developed, in quite another discipline in what is known as compositional data analysis—CODA (van Eijnatten et al, 2015). Like these authors, we have been very much inspired by those solutions, because compositional data are a particular case of ipsative data.…”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

An Alternative Approach to Analyze Ipsative Data. Revisiting Experiential Learning Theory

et al. 2015

View full text Add to dashboard Cite

The ritualistic use of statistical models regardless of the type of data actually available is a common practice across disciplines which we dare to call type zero error. Statistical models involve a series of assumptions whose existence is often neglected altogether, this is specially the case with ipsative data. This paper illustrates the consequences of this ritualistic practice within Kolb's Experiential Learning Theory (ELT) operationalized through its Learning Style Inventory (KLSI). We show how using a well-known methodology in other disciplines—compositional data analysis (CODA) and log ratio transformations—KLSI data can be properly analyzed. In addition, the method has theoretical implications: a third dimension of the KLSI is unveiled providing room for future research. This third dimension describes an individual's relative preference for learning by prehension rather than by transformation. Using a sample of international MBA students, we relate this dimension with another self-assessment instrument, the Philosophical Orientation Questionnaire (POQ), and with an observer-assessed instrument, the Emotional and Social Competency Inventory (ESCI-U). Both show plausible statistical relationships. An intellectual operating philosophy (IOP) is linked to a preference for prehension, whereas a pragmatic operating philosophy (POP) is linked to transformation. Self-management and social awareness competencies are linked to a learning preference for transforming knowledge, whereas relationship management and cognitive competencies are more related to approaching learning by prehension.

show abstract

Section: Methodsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

An Alternative Approach to Analyze Ipsative Data. Revisiting Experiential Learning Theory

et al. 2015

View full text Add to dashboard Cite

show abstract

“…La tradición CoDa comenzó con el trabajo seminal de Aitchison (1982Aitchison ( , 1986) sobre composiciones químicas y geológicas, en el que sólo interesa la proporción de cada parte o componente, ya que las cantidades absolutas son irrelevantes y sólo revelan el tamaño de la muestra química o de suelo (por ejemplo, Buccianti et al, 2006). En la actualidad, el análisis CoDa abarca casi todas las ciencias exactas y ha comenzado a utilizarse en varios campos de las ciencias sociales, como la educación (Batista-Foguet et al, 2015), la economía (Fry, 2011), el marketing (Vives-Mestres et al, 2016), la contabilidad (Linares et al, 2018), el turismo (Ferrer Rosell y Coenders, 2016), los valores (van Eijnatten et al, 2015), las redes sociales (Kogovšek et al, 2013), el uso del tiempo (Martín-Fernández et al, 2015a), y estudios electorales (Egozcue y Pawlowsky-Glahn, 2011;Liscano Fierro y Ortiz Rico, 2017 Buccianti, 2011;Pawlowsky-Glahn et al, 2015). A continuación, ofrecemos un breve resumen del método.…”

Section: Análisis Composicionalunclassified

Representación composicional de la intermedia agenda-setting de los principales grupos de medios y partidos políticos en las elecciones generales españolas de 2015

Duatis

Coenders

Sáez

2018

RLCS

View full text Add to dashboard Cite

Cómo citar este artículo / Referencia normalizadaM Blasco-Duatis, G Coenders Gallart, M Sáez (2018): "Representación composicional de la intermedia agenda-setting de los principales grupos de medios y partidos políticos en las elecciones generales españolas de 2015". Revista Latina de Comunicación Social, 73, pp Abstracts [ES]Este artículo presenta el biplot composicional como un enfoque metodológico innovador para representar de manera intuitiva la intermedia agenda-setting en el estudio de las agendas mediática y política. Como ilustración, empleamos un análisis de contenido de los principales grupos de medios españoles (RTVE, Prisa, Vocento, Unidad Editorial, COPE, Atresmedia, Planeta, Godó, Mediaset España y Libertad Digital) y principales partidos políticos con circunscripción única (Partido Popular, Partido Socialista Obrero Español, Podemos, Ciudadanos e Izquierda Unida), en el marco del período de las Elecciones Generales españolas de 2015. En oposición a los enfoques tradicionales, el análisis composicional en general y el biplot en particular enfatizan la relevancia relativa de los contenidos dentro de la agenda. La representación confirma la solidez metodológica del enfoque, al tiempo que proporciona una visión novedosa del caso en estudio y visualiza la representación de la intermedia agenda-setting.[EN] This article presents the compositional biplot as an innovative methodological approach to visualize intermedia agenda-setting in the study of the media and political agendas. As an illustration, we use a content analysis of the main Spanish media groups (RTVE, Prisa, Vocento, Unidad Editorial, COPE, Atresmedia, Planeta, Godó, Mediaset España and Libertad Digital) and main Spanish political parties (Partido Popular, Partido Socialista Obrero Español, Podemos, Ciudadanos e Izquierda Unida), within the framework of the Spanish General Election period of 2015. In opposition to traditional approaches, compositional analysis in general and the biplot in particular, emphasize the relative relevance of the contents within the agenda. The representation confirms the methodological RLCS, Revista Latina de Comunicación Social, 73 -Páginas 264 a 292 [Investigación] [Financiada] DOI: 10.4185/RLCS-2018-1255| ISSN 1138-5820 | Año 2018 http://www.revistalatinacs.org/073paper/1255/14es.html Página 265soundness of the approach, while providing a novel view of the case under study and visualizing the representation of the intermedia agenda-setting.

show abstract

“…Even though applications of CoDa methods, such as this, to customer satisfaction surveys are very recent, there are some references with applications to economics, ipsative measurements and tourist expenditure that could be adapted to our case.…”

Section: Other Coda Analysismentioning

confidence: 99%

Compositional Data Methods in Customer Survey Analysis

Vives‐Mestres

Fernández

Kenett

2016

Quality & Reliability Eng

View full text Add to dashboard Cite

Customer satisfaction is usually measured by questionnaires with statements scored on an anchored scale. Responses to such surveys consist of compositional data (CoDa) by considering the frequency distribution of ratings across questions or respondents. By CoDa, we mean vectors whose elements contain relative information, that is, its total sum is not informative. In this paper, we explore the contribution of CoDa methodology to the analysis of customer satisfaction surveys. Compositional methods are based on the principle of working on coordinates, that is, values obtained by the logarithm of ratios of the parts in a composition. We present common compositional tools such as descriptive statistics, TC2 control chart and principal component analysis (among others), and show an example of application to the annual customer satisfaction survey of the ABC Company. We highlight the advantage of the compositional approach in dealing with non response, which turns into a difficulty when dealing with zeros. We finally underline the pros and cons of the proposed analysis. Copyright © 2016 John Wiley & Sons, Ltd.

show abstract

Ipsative measurement and the analysis of organizational values: an alternative approach for data analysis

Cited by 37 publications

References 83 publications

An Alternative Approach to Analyze Ipsative Data. Revisiting Experiential Learning Theory

An Alternative Approach to Analyze Ipsative Data. Revisiting Experiential Learning Theory

Representación composicional de la intermedia agenda-setting de los principales grupos de medios y partidos políticos en las elecciones generales españolas de 2015

Compositional Data Methods in Customer Survey Analysis

Contact Info

Product

Resources

About