Development of an instructional quality assurance model in nursing science

Ajpru, Haruthai; Pasiphol, Shotiga; Wongwanich, Suwimon
October 2011
Research in Higher Education Journal;Oct2011, Vol. 13, p1
Academic Journal
The purpose of this study was to develop an instructional quality assurance model in nursing science. The study was divided into 3 phases; (1) to study the information for instructional quality assurance model development (2) to develop an instructional quality assurance model in nursing science and (3) to audit and the assessment of the developed model. The data were obtained from 37 external evaluation reports, 19 administrators, 374 nursing instructors, 654 nursing students and 9 specialists. The 8 research instruments were used in this phase. The data were analyzed through descriptive statistics, one-way analysis of variance, PNImodified index, the hierarchical linear model meta-analysis and content analysis were also used. Research results showed that; (1) the factors which affected the instructional quality of nursing science were the instructional quality assurance model that developed by the institutions, CU-QA84, the number of pages excluding the appendix of the assessment report and the quality of the report, (2) there were 3 models of instructional quality assurance needs such as 111, 011 and 000, and (3) the instructional quality assurance model in nursing science was systematic consisting of input, process and output. The operation was based on 3 domains: principles, concepts and practice. There were 6 standards and 18 indicators for instructional quality assurance in nursing science. There were 21 elements of guidelines for instructional quality assurance. This instructional quality assurance model was ranked from good to very good in all of the above categories.


Related Articles

  • Improving the Process of Student Evaluation. Neacşu, Gabriela; Patache, Laura; Dăneci-Pătrău, Daniel; Boarcăş, Camelia; Gherco, Alina Valentina // Acta Universitatis Danubius. Communicatio;2013, Vol. 7 Issue 2, p16 

    In this paper we analyzed the process of student evaluation from "Spiru Haret" University. The process under consideration occurs according to a specific Procedure - Process of student evaluation from the Manual of Quality Assurance Procedures, "Spiru Haret" University, Edition 1, 2012. The goal...

  • Augmented Ruggedness Testing To Prevent Failures. Anderson, Mark J. // Quality Progress;May2003, Vol. 36 Issue 5, p38 

    Focuses on the significance of design of experiments called ruggedness testing originally proposed for quality assurance on analytical methods. Validation of medical devices; Factors affecting the statistical analysis of variance; Assumption in ruggedness testing. INSET: Ruggedness vs....

  • Going Forward With BQA. Peck, Clint // BEEF;Sep2006, Vol. 43 Issue 1, p26 

    The article focuses on the important role of national and state Beef Quality Assurance (BFA) programs in the beef industry in the U.S. The BQA programming has been instrumental in building the beef demand in the country and across the globe. Gary Smith, Colorado State University Monfront Chair...

  • Quality Counts! "QA & QC Comparison and QA Study Model". Wolfram, Eleanor // Illinois Insights (Illinois Clinical Laboratory Science Associat;Fall/Winter2012, p2 

    The article presents questions and answers related to Quality Assurance (QA) and Quality Control (QC) including what are the similarities and differences between QA and QC and illustration of a simple QA lab study.

  • First Steps in Experimental Design II: More on Screening Experiments. Wass, John A. // Journal of Validation Technology;Winter2011, Vol. 17 Issue 1, p12 

    The article discusses the processes involved in performing an experimental design. The design of experiments (DOE) involves screening to identify important factors, response surface methodology to define the optimal space, and model validation to confirm predictions. The DOE design features a...

  • Effective interventions needed to improve quality, credibility of research. Cimberle, Michela // Ocular Surgery News;1/10/2015, Vol. 33 Issue 1, p15 

    The article cites Dr. John P. A. Ioannidis who advocates for the adoption of large-scale, collaborative research with replication culture and more appropriate statistical methods to make more published research true.

  • The New Quality Program--Panacea or Pandora's Box. Coates, E. James // Industrial Management;Sep/Oct87, Vol. 29 Issue 5, p4 

    Examines the progress in the implementation of the New Quality Process (NQP) in productivity management. Shortcomings in NQP deployment; Common issues in introducing major programs; Role of the middle manager in implementing quality assurance program.

  • Best Practices In Process Improvement. Dolan, Tom // Quality Progress;Aug2003, Vol. 36 Issue 8, p23 

    Focuses on the human side of managing and implementing a process improvement project. Use of the Internet in benchmarking; Top ten process improvement tools; Process improvement problems; Recommended steps in the implementation of process improvement project.

  • Process Identification. Westcott, Russ // Quality Progress;Aug2003, Vol. 36 Issue 8, p104 

    Discusses issues related to process identification for quality management system. Common misconception about QMS; Example of an identification table.


Read the Article


Sorry, but this item is not currently available from your library.

Try another library?
Sign out of this library

Other Topics