12 Practical Research 2 Quarter 2 – Module 5: DATA PROCESSING & ANALYSIS Subject Area – Grade Level Self-Learning Module (SLM) Quarter 2– Module 5: Data Processing & Analysis First Edition, 2020 Republic Act 8293, section 176 states that: No copyright shall subsist in any work of the Government of the Philippines. However, prior approval of the government agency or office wherein the work is created shall be necessary for exploitation of such work for profit. Such agency or office may, among other things, impose as a condition the payment of royalties. Borrowed materials (i.e., songs, stories, poems, pictures, photos, brand names, trademarks, etc.) included in this module are owned by their respective copyright holders. Every effort has been exerted to locate and seek permission to use these materials from their respective copyright owners. The publisher and authors do not represent nor claim ownership over them. Development Team of the Module Writers: Adonis C. Bayron, MAT Editors: Kathy Lyn G. Daga-as and Charmaine Rose T. Estandarte Reviewers: Evelyn C. Frusa PhD, Rolex H. Lotilla, Arvin M. Tejada Illustrator: Layout Artist: Angelou D. Samillano Cover Art Designer: Ian Caesar E. Frondoza Management Team: Allan G. Farnazo, CESO IV – Regional Director Fiel Y. Almendra, CESO V – Assistant Regional Director Crispin A. Soliven Jr., CESE – School Division Superintendent Roberto J. Montero EdD, CESE – Asst. Schools Division Superintendent Gilbert B. Barrera – Chief, CLMD Arturo D. Tingson Jr. – REPS, LRMS Peter Van C. Ang-ug – REPS, ADM Gilda A. Orendain – REPS, Senior High School Belen L. Fajemolin PhD – CID Chief Evelyn C. Frusa PhD – Division EPS In Charge of LRMS Bernadita M. Villano – Division ADM Coordinator Carlo M. Melendres PhD – EPS, Senior High School Printed in the Philippines by Department of Education – SOCCSKSARGEN Region Office Address: Telefax: E-mail Address: Regional Center, Brgy. Carpenter Hill, City of Koronadal (083) 2288825/ (083) 2281893 region12@deped.gov.ph 12 Practical Research 2 Quarter 2 – Module 5: DATA PROCESSING & ANALYSIS Introductory Message For the facilitator: Welcome to the Practical Research 2 for Grade 12 Self-Learning Module (SLM) on Data Processing & Analysis! This module was collaboratively designed, developed and reviewed by educators both from public and private institutions to assist you, the teacher or facilitator in helping the learners meet the standards set by the K to 12 Curriculum while overcoming their personal, social, and economic constraints in schooling. This learning resource hopes to engage the learners into guided and independent learning activities at their own pace and time. Furthermore, this also aims to help learners acquire the needed 21st century skills while taking into consideration their needs and circumstances. In addition to the material in the main text, you will also see this box in the body of the module: Notes to the Teacher This contains helpful tips or strategies that will help you in guiding the learners. As a facilitator you are expected to orient the learners on how to use this module. You also need to keep track of the learners' progress while allowing them to manage their own learning. Furthermore, you are expected to encourage and assist the learners as they do the tasks included in the module. 2 For the learner: Welcome to the Practical Research 2 for Grade 12 Self-Learning Module (SLM) on Data Processing & Analysis! The hand is one of the most symbolized part of the human body. It is often used to depict skill, action and purpose. Through our hands we may learn, create and accomplish. Hence, the hand in this learning resource signifies that you as a learner is capable and empowered to successfully achieve the relevant competencies and skills at your own pace and time. Your academic success lies in your own hands! This module was designed to provide you with fun and meaningful opportunities for guided and independent learning at your own pace and time. You will be enabled to process the contents of the learning resource while being an active learner. This module has the following parts and corresponding icons: What I Need to Know This will give you an idea of the skills or competencies you are expected to learn in the module. What I Know This part includes an activity that aims to check what you already know about the lesson to take. If you get all the answers correct (100%), you may decide to skip this module. What’s In This is a brief drill or review to help you link the current lesson with the previous one. What’s New In this portion, the new lesson will be introduced to you in various ways such as a story, a song, a poem, a problem opener, an activity or a situation. What is It This section provides a brief discussion of the lesson. This aims to help you discover and understand new concepts and skills. What’s More This comprises activities for independent practice to solidify your understanding and skills of the topic. You may check the answers to the exercises using the Answer Key at the end of the module. What I Have Learned This includes questions or blank sentence/paragraph to be filled in to process what you learned from the lesson. What I Can Do This section provides an activity which will help you transfer your new knowledge or 3 skill into real life situations or concerns. Assessment This is a task which aims to evaluate your level of mastery in achieving the learning competency. Additional Activities In this portion, another activity will be given to you to enrich your knowledge or skill of the lesson learned. This also tends retention of learned concepts. Answer Key This contains answers to all activities in the module. At the end of this module you will also find: References This is a list of all sources used in developing this module. The following are some reminders in using this module: 1. Use the module with care. Do not put unnecessary mark/s on any part of the module. Use a separate sheet of paper in answering the exercises. 2. Don’t forget to answer What I Know before moving on to the other activities included in the module. 3. Read the instruction carefully before doing each task. 4. Observe honesty and integrity in doing the tasks and checking your answers. 5. Finish the task at hand before proceeding to the next. 6. Return this module to your teacher/facilitator once you are through with it. If you encounter any difficulty in answering the tasks in this module, do not hesitate to consult your teacher or facilitator. Always bear in mind that you are not alone. We hope that through this material, you will experience meaningful learning and gain deep understanding of the relevant competencies. You can do it! 4 What I Need to Know This module was designed and written with you in mind. It is here to help you master the Data Processing & Analysis. The scope of this module permits it to be used in many different learning situations. The language used recognizes the diverse vocabulary level of students. The lessons are arranged to follow the standard sequence of the course. But the order in which you read them can be changed to correspond with the textbook you are now using. The module is composed of one lesson only: •Lesson 1 – Data Processing & Analysis After going through this module, you are expected to: 1. recognize the concept of data processing; and 2. interpret the tabular and graphical data; 5 What I Know Directions: Write T if the statement is correct and F if it is wrong. Write your answers on the blanks before each number. __________1. Data Analysis is a process of collecting, transforming, cleaning, and modeling data with the goal of discovering the required information. __________2. The data required for analysis is based on a question or an experiment. __________3. Data Collection is the process of gathering information on targeted variables identified as data requirements. __________4. Data Collection ensures that data gathered is inaccurate in which the related decisions are valid. __________5. Data Collection cannot provide both a baseline to measure and a target to improve. __________6. Data is collected from various sources ranging from organizational databases to the information in web pages. __________7. The data that is collected must be processed or organized for analysis. This includes structuring the data as required for the relevant analysis tools. __________8. Various data analysis techniques aren’t available to understand, interpret, and derive conclusions based on the requirement. __________9. Data visualization may also be used to examine the data in graphical format, to obtain additional insight regarding the messages within the data. _________10. The results of the data analysis are to be reported in a format as required by the users to support their decisions and further action. 6 Lesson 5 DATA PROCESSING & ANALYSIS What’s In Directions: Give 1 or 2-sentence description or explanation on the following concepts. Write your answers on the blanks. 1. interview =__________________________________________________________ ____________________________________________________________________ 2. probability1 =_______________________________________________________ ___________________________________________________________________ 3. observation =_______________________________________________________ ___________________________________________________________________ 4. questionnaire =____________________________________________________ ___________________________________________________________________ 5. documentary =_____________________________________________________ ____________________________________________________________________ 7 What’s New Notes to the Teacher Should you have queries on the given tasks, always ask or communicate your subject teacher. Directions: Examine the editorial cartoon below through looking closely at the details. Write three or more sentences about the problem presented in the editorial cartoon and provide explanation for your answer. Source: https://images.app.goo.gl/dZ5r7V1iK6R __________________________________________________________________________________ __________________________________________________________________________________ __________________________________________________________________________________ __________________________________________________________________________________ __________________________________________________________________________________ __________________________________________________________________________________ __________________________________________________________________________________ __________________________________________________________________________________ __________________________________________________________________________________ __________________________________________________________________________________ __________________________________________________________________________________ __________________________________________________________________________________ 8 What have you done to come up with your answer? __________________________________________________________________________________ __________________________________________________________________________________ __________________________________________________________________________________ __________________________________________________________________________________ Directions: What is It 9 Example: Profile of English Teachers in Koronadal National Comprehensive High School According to Sex (S.Y. 2015-2016) 10 What’s More SEX FREQUENCY PERCENTAGE FEMALE 27 93.11 MALE 2 6.89 Total 29 100 The table shows that female English teachers of Koronadal National Comprehensive High School as of school year 2015-2016 are 27 or 93.11%, while male teachers are 2 or 6.89% only. This information supports the claim of Mediodia (2006) as cited by Eva Polo (2007) that female teachers are most numbered than the males in all levels of education. It implies that women are more inclined to the teaching profession than men. Directions: In your own word, define/describe the following terms. Cite example/s to expound your answer. Write your answers on the space provided. 1. Data processing ___________________________________________________________________________ ___________________________________________________________________________ ___________________________________________________________________________ ___________________________________________________________________________ 2. Data Interpretation _____________________________________________________________________ _____________________________________________________________________ _____________________________________________________________________ _____________________________________________________________________ 3. Classification/Categorization ___________________________________________________________________________ ___________________________________________________________________________ ___________________________________________________________________________ ___________________________________________________________________________ 11 4. 5. Coding Data _____________________________________________________________________ _____________________________________________________________________ _____________________________________________________________________ _____________________________________________________________________ Tabulation Data ___________________________________________________________________________ ___________________________________________________________________________ ___________________________________________________________________________ ___________________________________________________________________________ Criteria: Substance of the answerGrammar/spellingTOTAL- 3 points 2 points 5 points each item What I Have Learned Directions: Answer the following questions substantially. Write your answers on the blanks provided. 1. What is data processing? Explain it in your own words. ___________________________________________________________________ ___________________________________________________________________ ___________________________________________________________________ ___________________________________________________________________ ___________________________________________________________________ ___________________________________________________________________ 2. What are the steps in processing the data? Describe each step. ___________________________________________________________________ ___________________________________________________________________ ___________________________________________________________________ ___________________________________________________________________ ___________________________________________________________________ ___________________________________________________________________ 3. Why do we need to observe the scope and purpose of data analysis? ___________________________________________________________________ ___________________________________________________________________ ___________________________________________________________________ ___________________________________________________________________ ___________________________________________________________________ ___________________________________________________________________ 12 4. What is data interpretation? ___________________________________________________________________ ___________________________________________________________________ ___________________________________________________________________ ___________________________________________________________________ ___________________________________________________________________ ___________________________________________________________________ 5. How data interpretation helps in answering your research objectives? ___________________________________________________________________ ___________________________________________________________________ ___________________________________________________________________ ___________________________________________________________________ ___________________________________________________________________ ___________________________________________________________________ 6. How data processing helps to interpret the data? __________________________________________________________________________________ __________________________________________________________________________________ __________________________________________________________________________________ __________________________________________________________________________________ __________________________________________________________________________________ __________________________________________________________________________________ 7. Why do you need to follow the steps for data interpretation? __________________________________________________________________________________ __________________________________________________________________________________ __________________________________________________________________________________ __________________________________________________________________________________ __________________________________________________________________________________ __________________________________________________________________________________ 8. In your own understanding, is data interpretation important in a certain research study? Why or Why not? __________________________________________________________________________________ __________________________________________________________________________________ __________________________________________________________________________________ __________________________________________________________________________________ __________________________________________________________________________________ __________________________________________________________________________________ Criteria: Substance of the answerGrammar/spellingTOTAL- 5 points 5 points 10 points each item 13 What I Can Do A. Directions: Study and interpret the data in the graph below. Write your interpretations on the blanks provided. ANNUAL TAX REMITTANCE OF SMALL, MEDUIM, AND LARGE ESTABLISHMENT Source: www.graphicaltaxremmitance.image.com ___________________________________________________________________ ___________________________________________________________________ ___________________________________________________________________ ___________________________________________________________________ ___________________________________________________________________ ___________________________________________________________________ ___________________________________________________________________ ___________________________________________________________________ ___________________________________________________________________ ___________________________________________________________________ ___________________________________________________________________ ___________________________________________________________________ ___________________________________________________________________ ___________________________________________________________________ ___________________________________________________________________ ___________________________________________________________________ ___________________________________________________________________ ___________________________________________________________________ ___________________________________________________________________ ___________________________________________________________________ Criteria: Interpretation- 20 points Spelling/grammar-10 points 14 B. Directions: Interpret the data in the pie graph comprehensively. Write your answers on the blank provided. Source: www.exercisepigraph.image.com ___________________________________________________________________ ___________________________________________________________________ ___________________________________________________________________ ___________________________________________________________________ ___________________________________________________________________ ___________________________________________________________________ ___________________________________________________________________ ___________________________________________________________________ ___________________________________________________________________ ___________________________________________________________________ ___________________________________________________________________ ___________________________________________________________________ ___________________________________________________________________ ___________________________________________________________________ ___________________________________________________________________ ___________________________________________________________________ ___________________________________________________________________ ___________________________________________________________________ ___________________________________________________________________ ___________________________________________________________________ ___________________________________________________________________ ___________________________________________________________________ Criteria: Interpretation- 20 points Spelling/grammar-10 points 15 C. Directions: Study and interpet the tabular data below. Write your interpretation on the blanks provided City or Town JANUARY COVID-19 CASES FEBRUARY MARCH APRIL MAY GENSAN 1 2 0 2 4 POLOMOLOK 0 1 0 4 4 TUPI 0 0 1 5 3 KORONADAL 0 0 1 1 1 TOTAL 1 3 2 12 12 NOTE: MOCK DATA ONLY ___________________________________________________________________ ___________________________________________________________________ ___________________________________________________________________ ___________________________________________________________________ ___________________________________________________________________ ___________________________________________________________________ ___________________________________________________________________ ___________________________________________________________________ ___________________________________________________________________ ___________________________________________________________________ ___________________________________________________________________ ___________________________________________________________________ ___________________________________________________________________ ___________________________________________________________________ ___________________________________________________________________ ___________________________________________________________________ ___________________________________________________________________ ___________________________________________________________________ ___________________________________________________________________ ___________________________________________________________________ ___________________________________________________________________ ___________________________________________________________________ ___________________________________________________________________ ___________________________________________________________________ ___________________________________________________________________ ___________________________________________________________________ Criteria: Interpretation- 20 points Spelling/grammar-10 points 16 Assessment Directions: Match the statement of Column A to Colum B. Write only the letter of the correct answer on the space provided before each number. COLUMN A COLUMN B ______1. It deals with editing, coding, classifiying, tabulating and presenting data through chart and diagram. A. Describe Data ______2. The process of presenting of data via charts and graphs. B. Data Processing ______3. The process of developing answers to questions through the examination and interpretation of data. C. Data Interpretation _______4. The process of reviewing data through some predefined processes which will help assign some meaning to the data and arrive at a relevant conclusion. D. Data Coding _______5. The process of summarizing raw data and displaying it in compact form for further analysis. E. Data Analysis _______6. The process of coding the necessary data specifically to the open-ended question. F. Data Diagram _______7. The process of grouping the statistical data under various understandable homogenous groups for the purpose of convenient interpretation. G. Tabulation of Data _______8. It plays a key role in data quality assessment by pointing to data quality problems in a given survey H. Classification _______9. It involves taking the result of data analysis, making inferences on the relations studied, and using them to conclude. I. Encoding Data _______10. It is one of the steps of data interpretation. J. Database K. Process of Data 17 Additional Activities Directions: Write a short essay about the things that you have learned the most and the least in this lesson. Write your essay on the space provided below. Give an interesting title to your essay. ___________________________________________________________________ ___________________________________________________________________ ___________________________________________________________________ ___________________________________________________________________ ___________________________________________________________________ ___________________________________________________________________ ___________________________________________________________________ ___________________________________________________________________ ___________________________________________________________________ ___________________________________________________________________ ___________________________________________________________________ ___________________________________________________________________ ___________________________________________________________________ ___________________________________________________________________ source: https://www.thoughtco.com/essay-rubric-2081 18 Answer Key 19 References Creswell, J.W. (2012). Educational research: planning, conducting, and evaluating Quantitative and qualitative research, 4th ed. Boston, MA: Pearson Education. Fatatado III, R. (2016). Practical research 2 (quantitative research for SHS). Lorimar Publishing House. Quezon City. Metro Manila. Binder & Roberts. (2003). Design-based methods for estimating model parameters. Retrieved from wwww.researchquantitative.ede/125433// 20 For inquiries or feedback, please write or call: Department of Education – SOCCSKSARGEN Learning Resource Management System (LRMS) Regional Center, Brgy. Carpenter Hill, City of Koronadal Telefax No.: (083) 2288825/ (083) 2281893 Email Address: region12@deped.gov.ph