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Quantitative Approach and Correlational Studies - Coggle Diagram
Quantitative Approach and Correlational Studies
Quantitative Approach
Definition
A set of systematic, critical, and empirical processes for studying phenomena.
Objective
To generate knowledge through measurement and numerical analysis.
Characteristics
Results can be applied to broader populations.
Aims to minimize the influence of the researcher.
Based on numerical data.
Follows a predictable and structured pattern.
Phases of the Process:
Problem Statement: Clear and specific definition.
Literature Review: Contextualization in previous studies.
Hypothesis Formulation: Proposals to be tested.
Research Design: Structuring the method to be followed.
Data Collection: Use of standardized instruments.
Data Analysis: Application of statistical methods.
Result Interpretation: Relating findings to hypotheses and theory.
Correlational Studies
Definition
Research that evaluates the relationship between two or more variables.
Characteristics
Measurement of how variables vary together.
Allows anticipation of one variable's behavior based on another.
Does not establish cause-and-effect relationships, only associations.
Phases of the Process:
Variable Identification: Selection of variables to correlate.
Data Collection: Obtaining information through surveys, questionnaires, etc.
Statistical Analysis: Application of techniques to determine the strength and direction of correlation.
Result Interpretation: Evaluation of the relationship between variables and their significance.
Objective
To establish patterns of association and predict behaviors.