3-Methods-on-Quantitative-Research-et-al.pptx

research

1. Methods on Quantitative Research METHODS OF QUANTITATIVE RESEARCH Understanding Data-Driven Research Approaches

2. Introduction to Quantitative Research Quantitative research is a systematic approach that collects and analyzes numerical data to understand a phenomenon. It uses statistical methods to identify patterns, relationships, and trends, and aims to generalize findings to a larger population. 

3. Introduction to Quantitative Research Focuses on numerical data and statistical analysis Objective, structured, and replicable Used to quantify attitudes, opinions, behaviors, and variables

4. Key Features of Quantitative Research Structured data collection instruments Large sample sizes Statistical analysis Hypothesis testing Generalizability of results

5. Types of Quantitative Research Descriptive Research Correlational Research Experimental Research Quasi-Experimental Research Causal-Comparative Research Descriptive Research Describes characteristics of a population or phenomenon Uses surveys, observational methods, and existing data Example: Census data analysis Correlational Research Measures the relationship between two or more variables No manipulation of variables Example: Study of the relationship between hours studied and exam scores

6. Types of Quantitative Research Descriptive Research Correlational Research Experimental Research Quasi-Experimental Research Causal-Comparative Research Experimental Research Involves manipulation of variables (independent & dependent) Uses control and experimental groups High level of control over variables Example: Testing the effectiveness of a new teaching method Quasi-Experimental Research Similar to experimental but lacks random assignment Used when randomization is not feasible Example: Evaluating a policy change in one school district Causal-Comparative Research Examines cause-effect relationships without manipulation Groups are pre-existing (e.g., gender, age) Example: Comparing academic performance by gender

7. Data Collection Methods Surveys and Questionnaires Structured Interviews Observations Secondary Data (existing datasets) Data Analysis Techniques Descriptive Statistics (mean, median, mode) Inferential Statistics (t-tests, ANOVA, regression) Software: SPSS, R, Excel, SAS

8. Advantages of Quantitative Research Objectivity and reliability Statistical analysis for generalizability Allows for hypothesis testing Limitations of Quantitative Research May overlook context or deeper meaning Limited flexibility in design May not capture participant perspectives fully

9. Conclusion Quantitative research is essential for evidence-based decision-making Choice of method depends on research question and context Integration with qualitative approaches can enhance insights

10. · Data-Driven Decision Making : Quantitative research provides measurable data (e.g., test scores, graduation rates) that help administrators and policymakers make informed decisions about curricula, resource allocation, and educational strategies. · Evaluation of Educational Programs : It allows for the systematic assessment of the effectiveness of teaching methods, interventions, and educational reforms using statistical tools and comparisons. · Identification of Trends and Patterns : Large-scale surveys and standardized assessments enable researchers to detect trends (e.g., achievement gaps among different demographics) that can inform targeted interventions. · Accountability and Performance Measurement : Schools and teachers are evaluated based on quantifiable outcomes, ensuring accountability and guiding improvements in instruction and management. · Generalizability : Because quantitative studies often use large, representative samples, their results can be generalized to larger populations, enhancing their applicability across various educational settings. · Predictive Insights : It supports predictive modeling, such as identifying at-risk students based on quantitative indicators (e.g., attendance and test performance), allowing for early intervention. SIGNIFICANCE OF QUANTITATIVE RESEARCH IN EDUCATION

11. References Creswell, J. W. (2014). Research Design: Qualitative, Quantitative, and Mixed Methods Approaches (4th ed.). SAGE Publications. Babbie , E. (2020). The Practice of Social Research (15th ed.). Cengage Learning. Neuman , W. L. (2014). Social Research Methods: Qualitative and Quantitative Approaches (7th ed.). Pearson Education. Muijs , D. (2010). Doing Quantitative Research in Education with SPSS (2nd ed.). SAGE Publications. Bryman , A. (2016). Social Research Methods (5th ed.). Oxford University Press. Trochim , W. M. K., Donnelly, J. P., & Arora, K. (2016). Research Methods: The Essential Knowledge Base (2nd ed.). Cengage Learning. American Psychological Association. (2020). Publication Manual of the American Psychological Association (7th ed.). APA.