Lesson 3 Presentation of analysis and data.pptx

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1. Lesson 3: Presentation and Analysis of Data Prepared by: Prof. Edelyn De Leon

2. Photo Analysis Activity

3. 1.What are your impressions on the photos shown?(5 points) 2.Based on your observation, list 5 things you might conclude from the photos. (5 points) 3.Construct 5 questions based on the photograph. (5 points) 4.Identify 5 possible answers on your questions. (5 points) 5.Reflection on the activity (5 points)

4. Topic Discussion

5. Quantitative data is a statistical and is typically structured in nature – meaning it is more rigid and defined. This data type is measured using numbers and values, making it a more suitable candidate for data analysis. Qualitative and Quantitative Data ( Pickell , 2021)

6. Qualitative data is non-statistical and is typically unstructured or semi-structured. This data is not necessarily measured using hard numbers used to develop graphs and charts. Instead, it is categorized based on properties, attributes, labels, and other identifiers. Qualitative and Quantitative Data ( Pickell , 2021)

7. Bookcase Quantitative Qualitative 3 feet long Is made of wood Weighs 100 pounds has golden knobs Has 3 shelves and 2 cabinets Was built in Italy Costs P 12, 000.00 Has a smooth finish To further understand the concept of qualitative and quantitative data, see the table below.

8. Data Analysis Methods (Bhatia, 2018)

9. Content analysis : This is one of the most common methods to analyze qualitative data. It is used to analyze documented information in the form of texts, media, or even physical items. When to use this method depends on the research questions. Content analysis is usually used to analyze responses from interviewees. Qualitative Data Narrative analysis : This method is used to analyze content from various sources, such as interviews of respondents, observations from the field, or surveys. It focuses on using the stories and experiences shared by people to answer the research questions. Discourse analysis : Like narrative analysis, discourse analysis is used to analyze interactions with people. However, it focuses on analyzing the social context in which the communication between the researcher and the respondent occurred. Discourse analysis also looks at the respondent’s day-to-day environment and uses that information during analysis.

10. Qualitative Data Narrative analysis : This method is used to analyze content from various sources, such as interviews of respondents, observations from the field, or surveys. It focuses on using the stories and experiences shared by people to answer the research questions. Grounded theory : This refers to using qualitative data to explain why a certain phenomenon happened. It does this by studying a variety of similar cases in different settings and using the data to derive causal explanations. Researchers may alter the explanations or create new ones as they study more cases until they arrive at an explanation that fits all cases. These methods are the ones used most commonly. However, other data analysis methods, such as conversational analysis, are also available.

11. 1. Frequency - It displays the number of observations within a given interval. 2. Percentage -It refers to a special kind of rates; It is used in making comparison between two or more series of data. Basic Terms and Formulas in Analyzing the Community Profiling and Needs-Assessment   Where: %= percentage F= frequency of response N= number of respondents

12. Age f % 9-11 years old 18 90 12-14 years old 2 10 Total 20 100 Example data for mean and percentage:

13. 3. Mean - It is the arithmetic average of a data set. This is found by adding the numbers in a data set and dividing by the number of observations in the data set. Basic Terms and Formulas in Analyzing the Community Profiling and Needs-Assessment Where: ∑ represents the summation X represents observations N represents the number of observations

14. Presentation of Data According to Ocenar (2014), presentation of data refers to the organization of data into tables, graphs or charts, so that logical and statistical conclusions can be derived from the collected measurements. There are 3 methods of data presentation which include: textual, tabular and graphical. Textual Presentation The data gathered are presented in paragraph form. Data are written and read. It is a combination of texts and figures. Example: Of the 150 sample interviewed, the following complaints were noted: 27 for lack of books in the library, 25 for a dirty playground, 20 for lack of laboratory equipment, 17 for a not well maintained university buildings

15. Presentation of Data 2. Tabular Presentation - Method of presenting data using the statistical table. - A systematic organization of data in columns and rows.

16. Presentation of Data 3. Graphical Presentation - is a way of aalyzing numerical data. It exhibits the relation between data, ideas, information and concepts in a diagram. It is easy to understand, and it is one of the most important learning strategies. It always depends on the type of information in a particular domain. There are different types of graphical representation ( Byju’s , nd ).

17. Presentation of Data * Kinds of Graphs * Bar Graph - used to show relationships/ comparison between groups. * Pie or Circle Graph - shows percentages effectively.

18. Presentation of Data * Kinds of Graphs * Line Graph - most useful in displaying data that changes continuously over time. * Pictograph or Pictogram - It uses small identical, or figures of objects called isotopes in making comparisons. Each picture represents a definite quantity.

19. Assessment

20. Using the venn diagram below, list the similarities and differences of qualitative and quantitative data. (10 points)

21. The frequency distribution for sex is given below. Compute the percentage and present the data using the methods of data presentation. (20 points) Sex f Percent Male 55   Female 35   TOTAL 90  

22. References Bhatia, M. (2018). Your Guide to Qualitative and Quantitative Data Analysis Methods. https://humansofdata.atlan.com/2018/09/qualitative-quantitative-data-analysis-methods/ Ocenar, R. (2014). Presentation of Data. Ret: https://www.slideshare.net/rubyocenar/presentation-of-data-37973327#:~:text=Data%20may%20be%20presented%20in,Data%20are%20written%20and%20read . Pickell , D. (2021). Qualitative vs Quantitative Data – What’s the Difference?. Ret: https://www.g2.com/articles/qualitative-vs-quantitative-data#:~:text=Quantitative%20data%20can%20be%20counted,the%2Dpoint%2C%20and%20conclusive https://byjus.com/maths/graphical-representation/#:~:text=Graphical%20Representation%20is%20a%20way,information%20in%20a%20particular%20domain.

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