Writing a research proposal and report

Subtopic:

Chapter Four: Results

Table of Contents

Learning Objectives

  • Explain the role of Chapter 4 in presenting research results.

  • Organize and interpret statistical data using descriptive and analytical methods.

  • Differentiate between qualitative and quantitative statistical variables.

  • Construct and format tables for clear data presentation.

  • Design figures (graphs, charts) to visually represent data trends.

  • Align data presentation with the study’s research objectives.

Role of Chapter Four in the Research Report

  • Report (Chapters 1–5):

    • Chapter 4 (Results): Presentation of research findings.

  • Chapter four

    • This is the results section of your research report.

    • It involves presentation of data and statistical forms.

    • Statistical data refers to all those numerical descriptions of events, things or objects.

    • They take the form of counting or measurements eg sex and age distribution of children with diarrheal diseases, clinically diagnosed cases of malaria.

    • Note that results are presented according to the objectives of the study.


2. Statistical Methods

  • These are the different means of organizing, analyzing and interpreting numerical data for better understanding of a phenomenon so as to allow us make good discisions/conclusions.

  • Statistical methods can be;

    • Descriptive

    • Analytical


3. Descriptive and Analytical Statistics

  • Descriptive statistics involves organization, presentation and summarization of data.

  • Analytical statistics involves organization, presentation, summarization and finding an association between variables.


4. Statistical Variable

  • Refers to any measurable characteristic that assumes a different value among individuals or subjects eg temperature, blood pressure, age, weight etc.

  • Statistical variables can be;

    • Quantitative variable

    • Qualitative variable

  • Quantitative variables can be measured in the form of numbers as opposed to names or descriptions of events.

  • Qualitative varaibles can not be measured in the form of numbers but rather names age degree of pain like moderate, severe pain; tribe like Ganda, nyankole etc.


5. Presentation of Data

  • Data presentation is important in any research study.

  • It helps to summarize all the junk raw data into information that can easily be read an appreciated by other readers of your work.

  • Data can be presented in the form of tables, figures ie graph, pie chart, line graph, histograms etc.

  • These form visual aids that helps the reader to quickly understand the information.


6. Tables

  • These help to summarize and give picture of how big, shape and distribution of the study findings.

  • These can be presented as;

    • Frequency distribution tables

    • Grouped Frequency distribution tables

  • For a table to be clearly translated, it must be properly constructed.

How to Construct a Table

  • Ensure the table has an appropriate tittle.

  • Tittle should be above the table.

  • Every table must be numbered to facilitate easy referencing.

  • Should fit on one page.

  • Column and row headings should be brief and clear.

  • Units of headings should be clearly indicated.


7. Figures (Graphs, Charts)

  • These help to give a valuable supplement to the statistical analysis.

  • They help to show the trends of distribution.

  • When constructing a figure, follow the same guidelines for a table but the heading of a figure is usually placed below the figure.

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