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This course focuses on In-depth examination of descriptive statistics, correlations, regression, factor analysis, causal analysis (path models and structural equation modeling), scaling, nonlinear transformation, missing data, and interactive effects, including initial manipulation of data, integrating understanding of inference and probability. 
2009 through 2013
  
The emphasis of this course is on the nature and characteristics of the most commonly used statistical techniques (descriptive statistics, correlation and linear regression, factor analysis, and elementary hypothesis testing), and their applicability to specific health care problems within the context of nursing.  Students will develop skills and knowledge in the use of computing software and to reinforce learning through assignments, including the analysis of data and interpret computer output
  
This course introduces students to the different research designs, instruments, methods of data collection and analysis. This course focuses on the utilization of scientific research in the development of nursing knowledge. The student will have the opportunity to design a research proposal in his/her area of specialization.
  
  

 
  
 
  
 
  


 
  

 
  

 
  
  
This course focuses on theories and concepts related to measurement in nursing research, and techniques for construction, testing, and refining instruments and assessing their reliability and validity. The emphasis will be on applying the principles of psychometric analysis used while constructing special instruments and scales with pilot application in the field.
2009 through 2013