2015
DOI: 10.3390/su71115179
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Repetitive Model Refinement for Questionnaire Design Improvement in the Evaluation of Working Characteristics in Construction Enterprises

Abstract: This paper presents an iterative confidence interval based parametric refinement approach for questionnaire design improvement in the evaluation of working characteristics in construction enterprises. This refinement approach utilizes the 95% confidence interval of the estimated parameters of the model to determine their statistical significance in a least-squares regression setting. If this confidence interval of particular parameters covers the zero value, it is statistically valid to remove such parameters … Show more

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Cited by 3 publications
(12 citation statements)
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“…After precluding 30 invalid questionnaires (non-response samples) and 69 unreturned ones, a total amount of 181 questionnaires were found to be valid. The response rate was 72.4% as illustrated in Table 1 (adapted from Lin et al [31]). With the data obtained from the questionnaires, the reliability analysis was first conducted, followed by a series of statistical analyses.…”
Section: Results Of Data Reliability Data Validity and Descriptive mentioning
confidence: 97%
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“…After precluding 30 invalid questionnaires (non-response samples) and 69 unreturned ones, a total amount of 181 questionnaires were found to be valid. The response rate was 72.4% as illustrated in Table 1 (adapted from Lin et al [31]). With the data obtained from the questionnaires, the reliability analysis was first conducted, followed by a series of statistical analyses.…”
Section: Results Of Data Reliability Data Validity and Descriptive mentioning
confidence: 97%
“…Based on the arguments above regarding the effects of employees' work values and organizational management on corporate performance and based on the extension of the work by Lin et al [31], Lin and Shen [32], Shen [33], we proposed three novelty statements.…”
Section: Prime Novelty Statementsmentioning
confidence: 99%
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