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Chapter Overview

  • Practical Research II Chapter IV: Focuses on presentation, data analysis, and interpretation of data.

Data Presentation

  • Introduces the chapter and indicates the order of presentation.

  • Summarizes background of the respondents and data collection methods: literature, surveys, interviews, and observations.

  • Emphasizes that data must be sufficient, valid, and accurate; presentation needs to be clear and logical.

Data Organization

  • Follows the sequence of questions raised in the research.

  • Ensures that data adequately answers research questions.

  • Uses tables, graphs, and figures that are well-presented, titled, numbered, and referred to in the text.

  • Text should highlight the key points of the tables without overwhelming detail.

Subheadings and Analysis

  • Appropriate sub-headings facilitate reader comprehension and ensure a non-evaluative analysis of data.

  • Presentation methods include tables, figures, or charts—these need to be clear and scholarly.

Data Analysis

  • Involves the researcher’s skill in describing and delineating similarities and differences.

  • Highlights significant findings and extracts meaningful information from the data presented.

Interpretation of Findings

  • Data presentation reveals findings of the study.

  • Interpretation involves explaining or suggesting implications from data without drawing definitive conclusions.

Key Results Focus

  • During analysis, emphasize results that specifically address the raised problems from Chapter 1.

  • Highlight important and unique findings with consistency and coherence based on academic conventions.

Data Connections

  • Establish connections among different data points.

  • Check indicators for support of hypotheses based on findings.

  • Relate findings to previous literature and contemporary events for credibility.

Findings Presentation

  • Present findings in the order of specific problems as stated initially.

  • Data presentation forms include:

    • Tabular

    • Textual

    • Graphical

Tabular Presentation

  • Tables organize and compress data into standardized forms.

  • Enhance study and interpretation of data.

Textual Presentation

  • Presents data in a written format using statements with numbers to describe findings.

  • Aims to highlight important data and supplement other presentations.

Graphical Presentation

  • Graphs are used to represent quantitative variations of variables, showing relationships and changes attractively and effectively.

  • Common types of graphs include:

    • Bar Graph

    • Line Graph

    • Circle (Pie) Graph

    • Pictogram

    • Map Graph

Enhancing Understanding with Tables and Graphs

  • Tables and graphs simplify data interpretation for viewers.

  • Tables often serve as the basis for graphical representations.

Designing Tables

  • Keep table formats clear and simple.

  • Align decimal places and avoid complicating design.

Bar Graphs

  • Effective for displaying one-time data.

  • Useful in identifying trends in responses categorized by number.

Line Graphs

  • Ideal for showing data or information that fluctuates over time.

Circle (Pie) Graphs

  • Excellent for displaying parts of a whole.

Graphic Design Principles

  1. Keep graphics simple to enhance understanding.

  2. Simplify data presentation.

  3. Use consistent symbols and avoid unnecessary special effects.

Table Captions

  • Captions for tables should match those in the list of tables, placed above the table.

  • Must clearly state what the table contains.

Evaluating Illustrative Materials

  • Researchers should consider:

    • Is the illustration necessary?

    • Does it merely repeat what the text already states?

Figures in Research

  • Illustrated materials referred to as figures.

  • Number and caption align centered below the illustration.

  • Captions must be concise and explanatory.