Updated-PR2-Reviewer PDF - Quantitative Research Reviewer Quarter 1

QUANTITATIVE RESEARCH REVIEWER QUARTER 1 - Quantitative research uses numerical data and statistical analysis to draw objective conclusions. It focuses on measurable data to generalize findings...

QUANTITATIVE RESEARCH REVIEWER QUARTER 1 - Quantitative research uses numerical data and statistical analysis to draw objective conclusions. It focuses on measurable data to generalize findings. A strength of quantitative research is its ability to produce generalizable findings for larger populations, backed by statistical evidence. -It can overlook subjective experiences and deeper nuances, as it primarily focuses on measurable data, potentially missing complex emotions or opinions. generates numerical data for evidence-based decision-making, important in fields like healthcare, education, and business. , quantitative research aids in evidence-based treatment decisions, using statistics to validate the effectiveness of treatments. provides numerical data for market analysis and financial forecasting, allowing businesses to make informed decisions. is what the researcher manipulates or controls in an experiment (e.g., a teaching method being tested). The is the outcome or result measured in response to the independent variable (e.g., student performance based on teaching methods). A represents different categories or groups, such as gender or different teaching methods. The in Research Design is formulating research questions or objectives, which guide the research process and establish its focus. Examples include observing shoppers' behavior in a store. This allows researchers to study patterns in everyday activities. A captures the focus and essence of the study, helping readers quickly understand the topic. A is specific and focused, such as “Effects of Climate Change on Biodiversity in North America: A Case Study.” A should include keywords and be relevant to the study, making it clear and easy to understand. The provides a review of existing literature, introducing the topic and explaining its significance. The demonstrates the credibility of the researcher by showing knowledge of existing studies. Focus of the Background - The focus is to provide an overview of the research topic and explain why it is significant. help guide the research process, focusing on the study’s objectives. A should be clear, specific, and relevant to the topic. Researchers must consider the and its objectives to ensure alignment with the research goals. The refers to the geographical area or population covered by the study, outlining its focus. are used to clarify the boundaries of the study, such as the specific factors or participants included. Researchers consider the , as well as its design and methodology. The aims to articulate the main research question and the issue being addressed. A is concise and clear, identifying the research question and its significance. Researchers should guiding the study when presenting the problem.  A conceptual framework is a theoretical structure that explains the relationships between variables in a study. It visually represents the relationships between variables, helping to guide the research. The framework typically includes clear explanations of the relationships between variables and concepts. - The arrows indicate the direction of causality between variables, showing their influence on one another. -It helps to guide the development of research questions and hypotheses, providing structure to the study. -Researchers should explain the underlying theories guiding the relationships between variables. -It is based on existing theories and literature, providing a foundation for the study. -The conceptual framework organizes the literature review and ensures alignment with research objectives. - In quantitative research, the conceptual framework guides the development of research instruments and data collection methods. The visually represents the relationships between variables and concepts in the study. typically includes theories and hypotheses guiding the research, providing a foundation for the study. The organizes the research process, ensuring alignment between the literature review and research objectives. In quantitative research, the guides the development of research instruments and data collection methods. clarifies the meaning of key concepts and variables, ensuring correct interpretation by readers. ensures a shared understanding of the research topic, preventing misinterpretation. helps clarify key concepts and variables, ensuring shared understanding among readers. avoids confusion and ensures clarity, particularly when key terms have specific meanings in the study. should be clear and concise, explaining how key terms are used in the research context. A is a statement predicting the relationship between variables, tested during the research. are typically used in quantitative studies to test relationships between variables. They guide the research process by offering testable predictions about the relationships between variables. The demonstrates the credibility of the researcher by analyzing previous studies and identifying research gaps. A should include a critical analysis of previous studies and how they contribute to the current research. The helps to analyze existing research, identifying what is already known and uncovering research gaps. LEZLIE D. HERNANDEZ Subject Teacher