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.
Hi young researcher! Do not worry for the end of the tunnel is almost in sight! You may have asked yourself, “So what now? What will I do with these interviews and observations?” This module is your answer. It will help you weed out the important information that you got during your data collection or as they say, “Find the needle in the haystack.” However, I would like to remind you that there will be several outputs required of you at the end.
In this lesson, you will learn how to collect and analyze data by using a certain method and to gather varied perceptions from different people. Through all these diverse opinions coming from a set of people, you will discover a certain idea or pattern governing the entire data collected. Geared toward a common theme, idea, or pattern, the collected facts and information can guarantee evidence-based conclusions. Factual data and logically collected ones are meaningful data to yield valid and credible conclusions (Baraceros, 2016, 121).
- Learning Objectives
After studying this chapter, you are expected to:
- infer and explain patterns and themes from data, and
- relate the findings to pertinent literature.