Evidence of Data Analysis Essay
Involves Nursing grand theory/theorist description and Advanced practice concept appraisal and analysis. Students will interact with different theory categories and concepts analysis process and appreciate theory classifications.
Follow direction to engage in theory description and evaluation process of major nursing grand theories and theorists. Evidence of Data Analysis Essay
Guidelines
Theory Description Guideline/Direction:
Using information from the reading and relevant literature search develop nursing theory/theorist description of one grand nursing theory/theorist introduced in this module:
**USE JEAN WATSON**
For your theorist’s assignment, describe the theorists background in detail and discuss how their experiences have impacted the theory development.
1) Examine crucial references for the original and/or current work of the theorist and other authors writing about the selected theory and cite them. Evidence of Data Analysis Essay
2) Identify the phenomenon of concern or problems addressed by the theory.
Theory Description:
1) Explain whether the theory uses deductive, inductive or retroductive reasoning. Provide evidence to support your conclusion.
2) Describe the major concepts of the theory. How are they defined (theoretically and/or operationally) Is the author consistent in the use of the concepts and other terms in the theory
3) Interpret how the concepts are defined. Implicitly or explicitly
4) Examine the relationships (propositions) among the major concepts. Evidence of Data Analysis Essay
Evaluation:
1) Identify explicit and implicit assumptions (values/beliefs) underlying the theory. On what assumptions does the theory build
2) Examine if the theory has a description of the four concepts of the nursing metaparadigm. If so, how are they explained in the theory If the metapardigm is not explained, what elements do you see as relevant to the theory and why
3) Discuss the clarity of the theory. Did it have lucidness and consistency Evidence of Data Analysis Essay
Grading Rubric
Grading Rubric
Criteria Ratings Pts
This criterion is linked to a Learning OutcomeDescription of criterion
20 to >15.0 pts
Excellent
Shows adequate evidence of deep thought, insight, and application of information to explain or solve problems, and evidence of data analysis consistently Evidence of Data Analysis Essay
15 to >10.0 pts
Average
Shows evidence of deep thought, insight, application of information to explain or solve problems, and evidence of data analysis most of the time
10 to >5.0 pts
Fair
Shows limited evidence of deep thought, insight, application of information to explain or solve problems, and evidence of data analysis most of the time Evidence of Data Analysis Essay
5 to >0 pts
Poor
Shows inadequate evidence of deep thought, insight, application of information to explain or solve problems, and evidence of data analysis most of the time
20 pts
Total Points: 20 Evidence of Data Analysis Essay