Chapter 4 | Analysis and Interpretation
TITLE : DETERMINING THE RELATIONSHIP OF NURSING INFORMATICS
COMPETENCY, ASSIGNED HOSPITAL AREA, YEARS OF EXPERIENCE, AND
EDUCATIONAL BACKGROUND OF REGISTERED NURSES IN A TERTIARY
HOSPITAL
Suggestions:
Statement of the Problem:
This study aims to examine the relational significance of Nursing Informatics
Literacy, Computer Literacy, and Management Skills of Registered Nurses in Makati
Medical Center.
Specifically, the study seeks to answer the following questions:
1. What is the demographic of the respondents in terms of:
1.1. Assigned hospital area
1.2. Years of experience
1.3. Educational Background
2. What is the level of nursing informatics literacy in terms of:
2.1. Computer literacy
2.2. Nursing informatics literacy
2.3. Informatics management skills
3. Is there a significant relationship between Nursing Informatics literacy, Computer
Literacy,
and
Informatics
Management
Skills
of
Registered
Nurses?
(Is there a significant relationship between Nursing Informatics Competency and the
demographic profile of the registered nurses).
4. Is there a significant difference between the nursing informatics competency level and
independent groups of each of the demographic profiles?
(Is there a significant relationship between Nursing Informatics Competency and the
demographic profile of the registered nurses).
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Chapter 4 | Analysis and Interpretation
Hypothesis:
1. Ha1: There is a significant relationship between Nursing Informatics Competency and
the demographic profile of the registered nurses.
2. Ha2: There is a significant difference between Nursing Informatics Competency and
the demographic profile of the registered nurses.
Research Design:
1. Correlational – Quantitative Research Design
2. Comparative Research Design
Population / Sample Size / Sampling Technique:
1. Population – Define target population of the study.
2. Sample Size – Depends on the Sampling Technique.
3. Sampling Technique – Purposive Sampling Technique or Stratified Random Sampling
Technique.
Research Instrument:
1. Content Validity / Validity Test
2. Reliability Test
Data Analysis:
1. Frequency and Percentage (Descriptive Statistics)
2. Weighted Mean (Descriptive Statistics)
3. Spearman Rho Correlation or Pearson’s Chi – Square Test of Independence
(Inferential Statistics)
4. Mann – Whitney U Test or Kruskal – Wallis H Test (Inferential Statistics)
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