2016
DOI: 10.1108/ijqrm-07-2014-0097
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A confirmatory factor analysis of knowledge management assessment instrument in Indian higher educational institutions

Abstract: Purpose – The purpose of this paper is to examine the reliability and validity of the knowledge management assessment instrument (KMAI) developed by Lawson (2003) that consists of 24 items. Design/methodology/approach – The study involved 225 research scholars and 225 faculties’ members from nine higher educational institutions. The respondents were required to respond to a five-point Likert scale from strongly agree to strongly disagree… Show more

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Cited by 16 publications
(11 citation statements)
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“…In this study, the Confirmatory Factor Analysis (CFA) was conducted based on the multiple factor first order confirmatory. CFA is the most comprehensive method to test and examine how well the data set fits the measurement (Chawla & Saxena, 2016;Farooq, 2016).…”
Section: Methodsmentioning
confidence: 99%
“…In this study, the Confirmatory Factor Analysis (CFA) was conducted based on the multiple factor first order confirmatory. CFA is the most comprehensive method to test and examine how well the data set fits the measurement (Chawla & Saxena, 2016;Farooq, 2016).…”
Section: Methodsmentioning
confidence: 99%
“…At last, we got 356 fully filled and error-free questionnaires. For validity and judging the reliability of measurement, CFA act as a significant factor in management and social science studies (Harrington, 2009;Chawla and Saxena, 2016). The CFA (AMOS v. 23) was used with an intent to examine the fitness of data in the proposed measurement model (Figure 3).…”
Section: Scale Validation: Confirmatory Factor Analysismentioning
confidence: 99%
“…To achieve model fit, the results of CFA contains x 2 test was checked initially valuing 263.741 at p = 0.249 (p > 0.05) and CMIN/df is 1.059 at df = 249 supporting a good model fit as relative x 2 (x 2 /df) must range in 1-5 to achieve an acceptable model fit (Chawla and Saxena, 2016). For a good model fit the indices such as GFI, AGFI, CFI, RMSEA, TLI and PCFI values must range in between 0 to 1 while RMSEA value should fall below 0.08 (Schumacker and Lomax, 2004).…”
Section: Scale Validation: Confirmatory Factor Analysismentioning
confidence: 99%
“…The CFA is used in management and social science studies (Harrington, 2009; Chawla and Saxena, 2016) for the establishment of validity and recognizing the reliability of measurement. The CFA acted as a significant statistical tool in management and social science studies (Harrington, 2009; Chawla and Saxena, 2016) for establishing validity and recognizing the reliability of measurement. The CFA is intended to cross verify the fitness of sampled data in the proposed measurement model against the default model of the population.…”
Section: Data Collection and Analysismentioning
confidence: 99%
“…This approves that items of CGS, SI and EA are unassociated with each other which is necessary for the establishment of the model. Further, Chawla and Saxena (2016) and Bajpai (2017) suggested achieving a good model fit through CMIN/df value by achieving it in the range of 1–3. The value of CMIN/df of measurement model in the study is 1.103 approving a good model fit.…”
Section: Data Collection and Analysismentioning
confidence: 99%