Homogeneity analysis using absolute deviations

Michailidis, George; Leeuw, Jan de

doi:10.1016/j.csda.2004.03.007

Cited by 11 publications

(5 citation statements)

References 19 publications

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“…Homogeneity analysis may also be understood as a Multiple Correspondence Analysis or as a Principle-Components Analysis for nominal data. According to Michailidis and De Leeuw (2005), Homogeneity Analysis is a graphical method for analyzing categorical data. It is a general and flexible framework that can accommodate multiple types of data.…”

Section: Methodsmentioning

confidence: 99%

Personality and Emotional Intelligence in Teacher Burnout

2012

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This paper aims to investigate the relationship between teacher's personality types, emotional intelligence and burnout and to predict the burnout levels of 147 teachers in the city of Mashhad (Iran). To this end, we have used three inventories: Maslach Burnout Inventory (MBI), NEO Five Factor Inventory (NEO-FFI), and Emotional Quotient Inventory (EQ-I). We used Homogeneity Analysis and Multiple Linear Regression to analyze the data. The results exhibited a significant relationship between personality types and emotional intelligence and the three dimensions of burnout. It was indicated that the best predictors for emotional exhaustion were neuroticism and extroversion, for depersonalization were intrapersonal scale of emotional intelligence and agreeableness, and for personal accomplishment were interpersonal scale and conscientiousness. Finally, the results were discussed in the context of teacher burnout.

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Section: Methodsmentioning

confidence: 99%

Personality and Emotional Intelligence in Teacher Burnout

2012

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“…The homogeneity function optimises a weighted least-squares criterion and the optimal graph layout is computed by an alternating least squares algorithm (Michailidis & De Leeuw, 2005). In essence this analysis for categorical data uses a loss function and algorithm for finding the optimal solution.…”

Section: [Table 1 Here]mentioning

confidence: 99%

The relative performance of foreign-owned subsidiaries and domestic companies

Marinescu

Constantin

Haar

2018

Post-Communist Economies

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The paper investigates the financial performance of the largest firms in Romania, by comparing foreign-owned subsidiaries (FOS) and domestic companies (DCs) over a decade. As such, the paper contributes to the literature on foreign direct investment (FDI) in transition economies, focusing on a country where few such studies have been conducted previously. Whereas most microeconomic research published about Central and Eastern European (CEE) economies is concerned with the effects of FDI, albeit positive or negative, this paper fills a gap in the literature by comparing the evolution of FOS and DCs performance during 2003-2012. This matter is approached in a novel methodological way, by applying the multiple correspondence analysis to explain the complex relationships between ownership, modes of entry and 2 performance, as reflected in turnover and profit margins. One result is that FOS replaced DCs in top national positions, when taking into account size and turnover. However, although FDI via acquisitions financially outperformed DCs, the latter did better than greenfield FDI after the global economic crisis. Of all the factors analysed, the sector of activity resulted as having by far the most important influence on financial performance. The results have implications for policymakers who design FDI programmes for economic development.

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“…In Michailides and de Leeuw [2003] we discuss WCA for p > 1. The reduction to a zero-one programming problem, and the possibility to find the optimum solution by enumeration, no longer applies there.…”

Section: Additional Orthogonal Dimensionsmentioning

confidence: 99%

“…using the same normalization conditions on X . The WCA problem was first discussed by Heiser [1987], and we discuss it in general in Michailides and de Leeuw [2003].…”

Section: Introductionmentioning

confidence: 99%