Conceptual Framework

Conceptual Framework

Conceptual Framework:
It refers to actual ideas, beliefs, and tentative theories that support the study. It is a model of what the researcher plans to study. It offers the rationale and fundamental basis of the research.

Understanding the Variables:
It shows the researcher's understanding of how variables are connected. It serves as an analytical tool explaining the main concepts or key factors being investigated, and the presumed relationships among these variables.

Scope and Delimitation:
Defines what will and will not be investigated. It organizes and directs the study, giving the reader a general understanding of the research and the activities involved.

Research Paradigm

Research Paradigm:
Pertains to a diagrammatic presentation of the study, providing a visual representation of the relationships among variables.

Common Types of Research Paradigms

1. IV-DV Model:
This model highlights the relationship between the independent variables (IV) and the dependent variables (DV).

The paradigm shows the personal related factora, professional related factors, sources of information, level of knowledge on the Philippine Mental Health Law which focuses on metal health services, objectives, education and promotion on mental health on educational institutions and work place, capacity building and research and development, and duties and responsibilities of government agencies. It considered that the relationship of the personal related factore, professional related factors and sources of information influence the level of knowledge on the Philippine Mental Health Law of the Rural Health Unit personnel.

2. IPO Model (Input-Process-Output)

IPO Model:
This model isolates the factors or variables causing a phenomenon. It identifies inputs, processes, and outputs required for transforming inputs into outputs (Cristobal & Cristobal, 2017).

Input:
Variables causing the phenomenon or transformation. It reflects the resources or raw data available for the study.

Process:
The methods for synthesizing and analyzing the inputs. Examples include data gathering, tabulation, and analysis.

Output:
The outcome, including findings, conclusions, and recommendations related to the problem or phenomenon studied.