Practical Research 2 - Quantitative Research PDF

PRACTICAL RESEARCH 2 ALDRIAN JOHN V. SORIANO  LESSON 1.1 INTRODUCTION TO QUANTITATIVE RESEARCH AND ITS CHARACTERISTICS OBJECTIVES: Define quantitative research. Describe the different characteristics of quantitative research. 3  REVIEW QUESTION:...

PRACTICAL RESEARCH 2 ALDRIAN JOHN V. SORIANO  LESSON 1.1 INTRODUCTION TO QUANTITATIVE RESEARCH AND ITS CHARACTERISTICS OBJECTIVES: Define quantitative research. Describe the different characteristics of quantitative research. 3  REVIEW QUESTION: WHAT IS A QUALITATIVE RESEARCH? WHAT IS A QUANTITATIVE RESEARCH? QUANTITATIVE RESEARCH focuses on gathering numerical data and generalizing it across groups of people or to explain a particular phenomenon. WHAT ARE THE CHARACTERISTICS OF QUANTITATIVE RESEARCH? 7 CHARACTERISTICS OF QUANTITATIVE RESEARCH? 1. It is objective NOT subjective. 2. Research questions are clearly defined. 3. Research instrument is clearly structured. 8 CHARACTERISTICS OF QUANTITATIVE RESEARCH? 4. Numerical presentation of data. 9 CHARACTERISTICS OF QUANTITATIVE RESEARCH? 5. Large sample size. 6. Replicated but not duplicated. 7. Data can be used to predict future outcomes or forecast. 10 CHARACTERISTICS OF QUANTITATIVE RESEARCH? 8. Data can be used to verify existing facts and develop new concepts. 11  LESSON 1.2 STRENGTHS AND WEAKNESSES OF QUANTITATIVE RESEARCH OBJECTIVES: Determine the strengths and weaknesses of quantitative research. Decide on suitable kinds of quantitative research in various fields of interest. 13 WHAT ARE THE STRENGTHS OF QUANTITATIVE RESEARCH? 14 STRENGTHS OF QUANTITATIVE RESEARCH 1. Since it is objective and provides numerical data, it CANNOT be easily misinterpreted. In other words, results-based. 15 STRENGTHS OF QUANTITATIVE RESEARCH 2. Statistical techniques was used to facilitate sophisticated analyses and allows you to comprehend a huge number of vital characteristics of data. 16 STRENGTHS OF QUANTITATIVE RESEARCH 3. The data in quantitative research can be analyzed in a quick and easy way. With the use of statistically valid random models, findings can be generalized to the population about which information is necessary. 17 STRENGTHS OF QUANTITATIVE RESEARCH 4. Replicable. This research can be replicated but with different areas of concern and location. Dimensions can be also an additive factor to improve the previous research. 18 STRENGTHS OF QUANTITATIVE RESEARCH 5. By using questionnaire, checklist, tests or standardized instrument the data can be gathered in a quick and easy way. 19 WHAT ARE THE WEAKNESSES OF QUANTITATIVE RESEARCH? 20 WEAKNESSES OF QUANTITATIVE RESEARCH 1. It requires a large number of respondents. The larger sample size, the more or better the statistical findings are. 21 WEAKNESSES OF QUANTITATIVE RESEARCH 2. It is costly. Due to very large sample, the expenses will be greater in reaching out to these people and in reproducing the questionnaires. 22 WEAKNESSES OF QUANTITATIVE RESEARCH 3. Elaboration on contextual is not a factor that can help the results or to explain variations. In quantitative research there is no need to elaborate or have sharing of thoughts for further information. It is a straightforward answer unlike in qualitative research. 23 WEAKNESSES OF QUANTITATIVE RESEARCH 4. If the made questionnaire was not done seriously and correctly, the data will be invalid and inaccurate. 24 WEAKNESSES OF QUANTITATIVE RESEARCH 5. Researcher/s must be watchful on respondents who are just guessing in answering the research instrument as some of them may not reveal the real response due to ethical issues. 25 WEAKNESSES OF QUANTITATIVE RESEARCH 6. Research instruments preparation and validation may take time if no standardized tools are available.  LESSON 1.3 TYPES OF QUANTITATIVE RESERACH  TYPES OF QUANTITATIVE RESEARCH Non- Experimental Experimental True Quasi- Descriptive Correlational Experimental Experimental Non-Experimental Descriptive Correlational  Non-Experimental ❑describe a situation or phenomenon Descriptive Correlational ❑relationship between two or more variables without any interference from the proponent. ❑researchers collect data without making changes o introducing treatments. Non-Experimental Descriptive Correlational  Descriptive Correlational ❑describe the nature, characteristics, and components of the population or a phenomenon. ❑manipulation of variables or search for cause and effect is not applicable. ❑determine the frequency with which it occurs and to find general attributes of the presently existing situation.  Descriptive Correlational ❑Examples: 1. Factors Affecting the Academic Performance of Senior High School Students. 2. Internet Access and Usage Among Filipino College Students 3. Nutrition and Health Practices Among Filipino Elementary Students  Descriptive Correlational ❑a research design investigates relationships between two variables. ❑measures the degree of their relationship or associations.  Descriptive Correlational ❑Examples: 1. The Relationship Between Study Habits and Academic Performance. 2. Exercise Frequency and Academic Achievement Among High School Students  Descriptive Correlational ❑Examples: 3. The Link Between Attendance and Academic Success in Middle School 4. Screen Time and Its Relationship with Student Reading Skills  Experimental True- Quasi- Experimental Experimental  Experimental ❑This kind of research True- is centrally Quasi- concerned with constructing Experimentalresearch that is high in Experimental casual (internal validity). ❑Scientific approach. ❑Researchers collect data with making changes or introducing treatments.  Experimental True- Quasi- Experimental Experimental  True- Quasi- Experimental Experimental ❑Randomly formed groups; ❑Manipulation of the treatment; and ❑Comparison among groups.  True- Quasi- Experimental Experimental ❑To test the true cause-and-effect relationships of variables involve in the study. ❑According to Prieto, et al. It offers the HIGHEST INTERNAL VALIDITY of all the designs.  True- Quasi- Experimental Experimental 1. One Group Posttest Only Design Single Intervention Posttest Group  True- Quasi- Experimental Experimental 2. Two-Group Posttest Only Design Control Group No intervention Posttest Experi mental Intervention Posttest Group  True- Quasi- Experimental Experimental 3. Pretest-Posttest Design Control No intervention Posttest Group Pretest Experi mental Intervention Group  Experimental True- Quasi- Experimental Experimental  True- Quasi- Experimental Experimental ❑This kind of research is almost the same as that of True Experimental Design. The only difference is the absence of random assignment of subjects to other conditions.