건설경기동향조사의 통계품질진단과 이용자 만족도 분석

Statistical Quality Diagnoses of the Construction Cycle Trend Surveys and Analyses of User Satisfaction Levels

1. CONTENTS (1) RESEARCH OBJECTIVES This study deals with Statistical Korea's survey data on the construction cycle trend, diagnosing their quality measurement indicators. In specific, it examines the satisfaction levels of professional users who refer the survey data on the construction cycle trend during their works. (2) RESEARCH METHOD First of all, concerned with the actual quotation conditions and satisfaction levels of professional users, it records 3.405 in a 5-point scale, implying the fact that professional users are generally satisfied with the present service level of survey data on the construction cycle trends. In addition, in order to check the level and direction of relationship, this study carries out correlation analyses. Their values range between 0.244 and 0.567, indicating relatively higher close interrelationship. (3) RESEARCH FINDINGS The R2 value from the regression analyses is 0.533, a reliable figure for the statistical analyses. After a series of statistical tests for the 6 independent variables, this study finds the fact that statistically meaningful coefficients includes timeliness/punctuality (p( 0.01), relationship (p( 0.001), and comparativeness (p( 0.05) . Judging from beta values which present the relative contribution level of independent variables, the highest category comes from relationship (0.386), followed by timeliness/punctuality (0.265) and comparativeness (0.193), respectively. 2. RESULTS This paper also checks the satisfaction level derived from the statistical characteristics and quotation conditions. Here, the quality change forms the only statistically meaningful category. Its beta value is 0.525, standing for the robust positive relationship between the quality change and the satisfaction level.