This Self-Learning Module (SLM) is prepared so that you, our dear learners, can continue your studies and learn while at home. Activities, questions, directions, exercises, and discussions are carefully stated for you to understand each lesson.
Each SLM is composed of different parts. Each part shall guide you step-by-step as you discover and understand the lesson prepared for you.
Pre-tests are provided to measure your prior knowledge on lessons in each SLM. This will tell you if you need to proceed on completing this module or if you need to ask your facilitator or your teacher’s assistance for better understanding of the lesson. At the end of each module, you need to answer the post-test to self-check your learning. Answer keys are provided for each activity and test. We trust that you will be honest in using these.
Please use this module with care. Do not put unnecessary marks on any part of this SLM. Use a separate sheet of paper in answering the exercises and tests. And read the instructions carefully before performing each task.
If you have any questions in using this SLM or any difficulty in answering the tasks in this module, do not hesitate to consult your teacher or facilitator.
As a researcher, it is important that you are knowledgeable about what type of data collection technique to use for a certain type of quantitative research study you are planning to pursue. The importance of data collection cannot be undermined since in the absence of correctly collected data, your research questions can remain unanswered, or the testing of research hypothesis is not possible.
This module gives an overview of factors to consider when choosing data collection method. It also shows a brief description on the different instruments available, its advantages and disadvantages, and guidelines on how to use the specific instrument suitable to the research questions and or objectives. Additionally, you will be exposed to the different statistical tool that you can possibly use to analyze the gathered data.
This is made simple and easy to understand yet contains the maximum and solid knowledge necessary for you to be able to accomplish the Chapter 4 of your research study. Furthermore, this module also contains examples and exercises for you to improve your learning. For enrichment, learners may contact anytime their teacher through messenger, FB, zoom, call or text at their own convenient time.
The following are the lessons contained in this module:
- Lesson 1 – Data Collection Instruments
- Lesson 2 – Data Presentation and Interpretation
- Lesson 3 – Using Statistical Techniques to Analyze Data
At the end of this module, you should be able to:
1. collect data using appropriate instruments;
2. present and interpret data in tabular and graphical forms; and
3. use statistical techniques to analyze data—study of differences and relationships limited for bi-variate analysis.