ECE Methods of Research Module 14 (Week 14) PDF

14 METHODS OF RESEARCH QUANTITATIVE DATA ANALYSIS LEARNING OUTCOMES WEEK 13: QUANTITATIVE DATA ANALYSIS Procedures for Quantitative Data Analysis Step 1: Preparation of the Data No data organization means no sound data analysis. Hence, prepare the data for the analysis by first doi...

14 METHODS OF RESEARCH QUANTITATIVE DATA ANALYSIS LEARNING OUTCOMES WEEK 13: QUANTITATIVE DATA ANALYSIS Procedures for Quantitative Data Analysis Step 1: Preparation of the Data No data organization means no sound data analysis. Hence, prepare the data for the analysis by first doing these 2 preparatory sub-steps: LEARNING OUTCOMES WEEK 13: QUANTITATIVE DATA ANALYSIS Objectives for Quantitative Data Analysis: 1. Visualize data distribution and relationships. 2. Identify patterns, trends, and correlation within the data. 3. Summarize and describe the main characteristics of the data. LEARNING OUTCOMES WEEK 13: QUANTITATIVE DATA ANALYSIS Procedures for Quantitative Data Analysis 1.a. Coding System Converting words, images, or pictures into numbers. They become fit for any analytical procedures requiring knowledge of arithmetic and mathematical operation. LEARNING OUTCOMES WEEK 13: QUANTITATIVE DATA ANALYSIS Procedures for Quantitative Data Analysis 1.a. Coding System Ex. Gender Number 1 as value for MALE Number 2 as value for FEMALE LEARNING OUTCOMES WEEK 13: QUANTITATIVE DATA ANALYSIS Procedures for Quantitative Data Analysis 1.a. Coding System Ex. Educational Attainment as another variables Number 1 as Elementary Number 2 as High School Number 3 as College Number 4 as Masters Number 5 as Doctorate LEARNING OUTCOMES WEEK 13: QUANTITATIVE DATA ANALYSIS Procedures for Quantitative Data Analysis 1.b. Tabulation of Data For any classifiation and distribution of numbers based on a certain criterion, you have to collate them with the help of a graph called TABLE. LEARNING OUTCOMES WEEK 13: QUANTITATIVE DATA ANALYSIS Procedures for Quantitative Data Analysis 1.b. Tabulation of Data Total Sample Size: 24 LEARNING OUTCOMES WEEK 13: QUANTITATIVE DATA ANALYSIS Procedures for Quantitative Data Analysis Step 2: Analyzing the data Simple descriptive statistical techniques or advance and analytical methods. The first one that college students often use tells some aspect of categories of data. LEARNING OUTCOMES WEEK 13: QUANTITATIVE DATA ANALYSIS Procedures for Quantitative Data Analysis Step 2: Analyzing the data Frequency of Distribution, Measure of Tendency (Mean, Median, and Mode), and Standard Deviation. However, this does not give information about population from where the sampling came. LEARNING OUTCOMES WEEK 13: QUANTITATIVE DATA ANALYSIS Procedures for Quantitative Data Analysis Step 2: Analyzing the data The second one, on the other hand, fits graduate-level research studies because this involves complex statistical analysis requiring a good foundation and through knowledge about statistics. LEARNING OUTCOMES WEEK 13: QUANTITATIVE DATA ANALYSIS Procedures for Quantitative Data Analysis Step 2: Analyzing the data 1. Descriptive Statistical Techniques Quantitative data analysis techniques provides a summary of the orderly or sequential data obtained from the sample through the data-gathering instruments used. The results of the analysis reveal the following aspects of an item in a set of data. LEARNING OUTCOMES WEEK 13: QUANTITATIVE DATA ANALYSIS Procedures for Quantitative Data Analysis Step 2: Analyzing the data 2. Frequency Distribution Give you the frequency distribution and percentage of the occurence of an item in a set of data. In other words, it give as the numbers of responses given repeatedly for one question. LEARNING OUTCOMES WEEK 13: QUANTITATIVE DATA ANALYSIS Procedures for Quantitative Data Analysis Step 2: Analyzing the data 2. Frequency Distribution LEARNING OUTCOMES WEEK 13: QUANTITATIVE DATA ANALYSIS Procedures for Quantitative Data Analysis Step 2: Analyzing the data 3. Measure of the Tendency Indicates the different position or values of the item, such that in a category of data, you find an item or items serving as the: Mean, Median, and Mode. LEARNING OUTCOMES WEEK 13: QUANTITATIVE DATA ANALYSIS Procedures for Quantitative Data Analysis Step 2: Analyzing the data 3. Measure of the Tendency Mean Average of all the items or scores Ex. 3, 8, 9, 2, 3, 10, 3 Mean = (3 + 8 + 9 + 2 + 3 + 10 + 3) / 7 = 38 / 7 = 5.43 MEAN = 5.43 LEARNING OUTCOMES WEEK 13: QUANTITATIVE DATA ANALYSIS Procedures for Quantitative Data Analysis Step 2: Analyzing the data 3. Measure of the Tendency Median The score in the middle of the set of items that cuts or divides the sets into two groups. - The numbers in the example for the mean has 2 as Median. LEARNING OUTCOMES WEEK 13: QUANTITATIVE DATA ANALYSIS Procedures for Quantitative Data Analysis Step 2: Analyzing the data 3. Measure of the Tendency Mode Refers to the item or score in the data set that has the most repeated apperance in the set. - Again, in the given example for the mean, 3 is the Mode. LEARNING OUTCOMES WEEK 13: QUANTITATIVE DATA ANALYSIS Procedures for Quantitative Data Analysis Step 2: Analyzing the data 4. Shows the extent of the difference of the data from mean. An examination of this gap between the mean and the data gives you an idea about the extent of similarities and differences between the respondents. There are mathemaical operations that you have to do to determine the standard deviation. LEARNING OUTCOMES WEEK 13: QUANTITATIVE DATA ANALYSIS Procedures for Quantitative Data Analysis Step 2: Analyzing the data 4. a. Compute the mean. b. Compute the deviation (difference) between each respondents answer (data item) and the mean. The plus sign (+) appears before the number if the difference is higher, negative (-) if the difference is lower. c. Compute the square of each deviation. LEARNING OUTCOMES WEEK 13: QUANTITATIVE DATA ANALYSIS Procedures for Quantitative Data Analysis Step 2: Analyzing the data 4. d. Compute the sum of the square by adding the square figures. e. Divide the sum of the square by the number of the data items to get the variance. f. Compute the square root of variance figure to get the standard deviation. LEARNING OUTCOMES WEEK 13: QUANTITATIVE DATA ANALYSIS Procedures for Quantitative Data Analysis Experiment - Scienctific method of collecting data whereby you give the subjects a sort of treatment or condition when evaluate the results to find out the manner by which the treatment affected the subjects and for discover the reason behind the effect of such treatment on the subject. LEARNING OUTCOMES WEEK 13: QUANTITATIVE DATA ANALYSIS Procedures for Quantitative Data Analysis Experiment (Procedures) 1. Treatment - Evaluation 2. Pre Test - Treatment - Post Test 3. Pre Test - Multiple Treatments - Post Test 4. Pre Test - Treatment - Immediate Post Test - 6 Months - Post Test - 1 Year - Post Test LEARNING OUTCOMES WEEK 13: QUANTITATIVE DATA ANALYSIS Procedures for Quantitative Data Analysis Content Analysis Is a quantitative data collection collection techniques that makes you search through several oral or written forms of communication to find answers to your research questions. SUMMARY WEEK 11: QUANTITATIVE RESEARCH DESIGN QUESTIONS ??? SUMMARY WEEK 11: QUANTITATIVE RESEARCH DESIGN END OF THE PRESENTATION