Statistical Analysis of Misfiling Causes in Higher Education: A Test Construction

Introduction: Misfiling remains a substantial challenge in data management various institutions of higher learning. It has been asserted that one every ten documents or files stored becomes immediately lost forever, due to inadequate filing techniques and practices. The results this canker primarily are high-profile failure accountability retrogression the development institution. There is paucity scales developed for measuring misfiling. This study scale called misfiling assessment (DMAS) measure factors responsible learning assessed them terms other relevant variables.
 Methodology: A questionnaire was designed administered cross-sectional conducted among all administrative assistants who were tasked with utmost responsibility offices University Health Allied Sciences (UHAS), Ho Volta Region Ghana. components causes found using factor analysis confirmed confirmatory analysis.
 Results: revealed highly reliable (Cronbach’s alpha 0.85) thirteen items sub-classified into four namely; internal misfiling, methods tools, external Cronbach’s 0.85, 0.77, 0.62, 0.60, respectively. four-factor structure DMAS CFA. strong positive relationship observed between (p-value = 0.015) 0.032). External also strongly correlated positively 0.025). Per scale, participants have file references their less likely face 0.008). Also, those working policies experience misfiling.
 Conclusion: With help by extension, challenges can be investigated appropriate actions taken accurate