Some Uses of Rasch Models Parameters in Customer Satisfaction Data Analysis

Pagani, Laura; Zanarotti, Maria Chiara

doi:10.1080/16843703.2010.11673220

Cited by 11 publications

(3 citation statements)

References 2 publications

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“…Because an automaker's decision to choose a particular supplier could be influenced by the automaker's relationships with other suppliers, we used a random-intercept model to control for potential correlations between the automaker's supplier choices. This procedure permits us to use all the information included in the questionnaire to measure effective variables and then to investigate relations with covariates (Pagani and Zanarotti, 2010). The likelihood-ratio test output confirms that adding random slope bring much significant improvement (p Ͻ 0.01).…”

Section: Methodsmentioning

confidence: 76%

The contingent impacts of market and nonmarket ties on the exchange relationship formation

Lee

Choi

2015

Chinese Management Studies

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Purpose -This paper aims to present inter-firm networks in China by examining the impacts of previous market ties, nonmarket ties, and more importantly their interaction on the formation of exchange relationships. Design/methodology/approach -The authors test their hypotheses using inter-firm exchange relationships between 19 automakers and 312 suppliers in China. The authors conducted empirical tests with multilevel logit model. Findings -The authors find that both previous nonmarket ties and market ties have positive impacts on the formation of the next exchange relationships, while market ties and nonmarket ties are substitutes in the exchange relationships formation. Originality/value -This paper provides unique theoretical framework on how firms in emerging markets promote the knowledge exchange with help of market and nonmarket ties. Especially, our findings on the substitute effects between networks have important practical implications to understand the historical development of exchange relationship in transition economies, such as in China.

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Section: Methodsmentioning

confidence: 76%

The contingent impacts of market and nonmarket ties on the exchange relationship formation

Lee

Choi

2015

Chinese Management Studies

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“…In this paragraph we use the Rasch Analysis in the educational services evaluation context (King and Bond 2003;De Battisti et al 2005;Bacci 2006;Pagani and Zanarotti 2010), to detect the appropriate ordinal response category structures among those considered. First of all, a preliminary data analysis has been performed in order to assess the effects of the 4-and 10-point response scales in disjoint (standard questionnaire and experimental questionnaire version B) and joint form (experimental questionnaire version A).…”

Section: Rasch Analysis Resultsmentioning

confidence: 99%

Statistical Methods and Applications from a Historical Perspective

Crescenzi¹,

Mignani²

2014

Studies in Theoretical and Applied Statistics

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“…• < 0.67:-poor reliability • 0.67-0.80:-fair reliability • 0.81-0.90:-good reliability • 0.91-0.94:-very good reliability • > 0.94:-excellent reliability Moreover, the reliability and consistency achieved for measures should not be taken from the KR-20 values alone, but they also need to be deliberated by the person separation index (index of internal consistency) (Andrich, 1988;Bond & Fox, 2007;Schumacker & Smith Jr., 2007;Linacre, 2008;Fisher et al, 2010;Pagani & Zanarotti, 2010). Bond and Fox (2007); and Fisher et al (2010), further suggested that the person separation index and the KR-20 value should be used to portray in the logit scale to substantiate the reliability and consistency in accordance with the RMT understanding of person's replicability and item placements, respectively.…”

Section: Reliability and Consistency Of The Measurementmentioning

confidence: 99%

Malaysian Job Shop Manufacturing’s Practices: Characteristics Identification Using the Rasch Measurement Theory

Shamsuddin¹,

Muda²

2021

JSSM

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The purpose of this study is to investigate the characteristics useful for Malaysian Job-Shop manufacturing small and mid-size enterprises SMEs to craft their "Best-Practices" using the Rasch Measurement Theory. The research aimed at answering fundamental questions that every enterprise is confronting relating to their practices that is transformed into performance. The existing data from the census sampling comprising 522 Job-Shop manufacturing SMEs, which was collected for previous research. The Rasch model, was used to summarize respondents on variables under study, involving the testing of variables and model testing. In general, the analysis results revealed that for most respondents, their desire is to ensure their processes are understandable and easy to conduct, meaning that activities, that consider employees' opinions and allow a certain degree of flexibility within the enterprise activites have a significant impact on their ability to capture a portion of the market. The result also indicates that 14 items from the 5 identified determinants were highly considered by the respondents in choosing their practice, thus, can be identified as traits or characteristics for practice adoption. The findings will be useful for the enterprises to craft their own best practices at the micro or a macro level in order to continuously improve their performance.

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Some Uses of Rasch Models Parameters in Customer Satisfaction Data Analysis

Cited by 11 publications

References 2 publications

The contingent impacts of market and nonmarket ties on the exchange relationship formation

The contingent impacts of market and nonmarket ties on the exchange relationship formation

Statistical Methods and Applications from a Historical Perspective

Malaysian Job Shop Manufacturing’s Practices: Characteristics Identification Using the Rasch Measurement Theory

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