METHODS OF RESEARCHFJNGNFH (REPORT).pptx

METHOD OF RESEARCH

1. QUANTITATIVE RESEARCH METHOD Speaker name : Melanie E. Ventura

2. Primary Quantitative Research Methods 01 Survey Research 02 Descriptive Research 03 Correlational Research 04 Causal-Comparative Research 05 Experimental Research

3. Part 01 Survey Research TWO TYPES: 1. CROSS- SECTIONAL SURVEYS 2. LONGITUDINAL SURVEYS

4. Cross-sectional surveys are specifically conducted on a target population for a specified period, that is, these surveys have a specific starting and ending time and researchers study the events during this period to arrive at conclusions. The main purpose of these surveys is to describe and assess the characteristics of a population. There is one independent variable in this study, which is a common factor applicable to all participants in the population, for example, living in a specific city, diagnosed with a specific disease, of a certain age group, etc.   Longitudinal surveys are conducted at different time duration. These surveys involve observing the interactions among different variables in the target population, exposing them to various causal factors, and understanding their effects across a longer period. These studies are helpful to analyze a problem in the long term. SURVEY RESEARCH Surveys are the easiest and most commonly used quantitative research method. They are of two types—cross-sectional and longitudinal.  

5. Part 02 Descriptive Research

6. Descriptive Research Explains the current status of an identified and measurable variable. Unlike other types of quantitative research, a hypothesis is not needed at the beginning of the study and can be developed even after data collection. This type of quantitative research describes the characteristics of a problem and answers the what, when, where of a problem. However, it doesn’t answer the why of the problem and doesn’t explore cause-and-effect relationships between variables. Data from this research could be used as preliminary data for another study.

7. Part 03 Correlational Research

8. Correlational Research 93 % This quantitative research method is used to establish a relationship between two variables using statistical analysis and analyze how one affects the other. The research is non-experimental because the researcher doesn’t control or manipulate any of the variables. At least two separate sample groups are needed for this research.

9. Part 04 Causal- Comparative Research

10. Causal- Comparative Research This type of quantitative research examines the cause-effect relationships in retrospect between a dependent and independent variable and determines the causes of the already existing differences between groups of people. This is not a true experiment because it doesn’t assign participants to groups randomly.

11. Part 05 Experimental Research

12. Experimental Research This quantitative research method uses true experiments or scientific methods for determining a cause-effect relation between variables. It involves testing a hypothesis through experiments, in which one or more independent variables are manipulated and then their effect on dependent variables are studied.

13. THANKS FOR LISTENING! Speaker name : Melanie E. Ventura

14. Difference of Quantitative and Qualitative Research QUANTITATIVE more respondents opinions, perceptions short contact time survey questionnaire more numbers hypothesis QUALITATIVE less participants experiences longer contact time interview more words assumptions

15. The main difference between these two approaches is the type of data you collect and how you interpret it. Qualitative research focuses on word-based data, aiming to define and understand ideas. This study allows researchers to collect information in an open-ended way through interviews, ethnography, and observation. You'll study this information to determine patterns and the interplay of variables. On the other hand, quantitative research focuses on numerical data and using it to determine relationships between variables. Researchers use easily quantifiable forms of data collection, such as experiments that measure the effect of one or several variables on one another.