La variable y el marco teórico de la investigación

Understanding Variables in Research

Introduction to Variables

• The discussion begins with the importance of constructing and justifying Chapter 1, focusing on the introduction of a research project and its variables.

• A variable is defined as a property or characteristic that can vary among subjects, allowing for classification and measurement.

Types of Variables

• Examples of variables include demographic factors like sex, age, and marital status. Other examples are motivation and job performance.

• Variables can be classified as discrete (whole numbers without intermediates) or continuous (can take any value within a range).

Qualitative vs Quantitative Variables

• Quantitative variables have numerical characteristics that allow for measurement (e.g., number of students), while qualitative variables do not fit into a numerical scale.

• Qualitative data can be expressed descriptively rather than numerically, such as categorizing individuals by gender or reading habits.

Measurement Scales

• Nominal variables categorize without implying order (e.g., names, addresses), while ordinal variables indicate an order among categories (e.g., performance ratings).

• Scalar variables reflect values based on occurrence levels, such as satisfaction ratings from very satisfied to very dissatisfied.

Independent and Dependent Variables

• Independent variables are those assumed to cause changes in dependent variables; they do not depend on other factors within the study context.

• Dependent variables respond to changes in independent ones; intervening variables may also affect outcomes but are influenced by independent ones.

Practical Examples

• An example illustrates how education affects child nutrition: education is independent, malnutrition is dependent, while family instruction level acts as an intervening variable.

• Another example discusses community organization levels impacting citizen security; both attributes need analysis for their relationship.

How to Systematically Develop a Theoretical Framework in Research

Understanding the Theoretical Framework

• The theoretical framework serves as the foundation for research, allowing researchers to formulate, test, and explain their hypotheses.

• It is derived from epistemic inquiry and involves gathering and integrating various theoretical frameworks or paradigms relevant to the research topic.

Steps to Constructing a Theoretical Framework

• Identifying the research problem is crucial; this includes reviewing similar prior studies and identifying existing variables.

• Researchers must analyze and compare previous investigations to determine their relevance and adapt them according to their specific research focus.

Components of the Theoretical Framework

• A well-developed theoretical framework consists of three main parts:

• Background literature (antecedents)

• Core theoretical concepts

• A glossary of key terms that summarize essential theories succinctly.

Considerations for Developing the Framework

• Researchers should seek established theories with substantial evidence applicable to their specific research problems.

• It's important to gather comprehensive information on these theories, ensuring they adequately address all aspects of the identified variables.

Structuring Your Research Framework

• When discussing concepts like motivation, researchers need to explore various dimensions such as types, importance, advantages/disadvantages, and related academic theories.

• To build a robust theoretical framework:

• Select relevant bibliographic sources

• Group findings by authors or themes

• Follow university guidelines for structuring your thesis project.

Finalizing Your Theoretical Framework

• Ensure all citations are properly referenced within the text and listed at the end according to academic standards.

• Structure your framework clearly around your central problem statement, ensuring alignment between your problem formulation, hypothesis, and objectives.

Understanding Research Frameworks

Aligning Research Questions and Objectives

• The specific hypotheses must align with the general research question, ensuring coherence between general and specific objectives.

• Each specific question should correspond directly to its respective hypothesis and objective; mismatches indicate a flaw in the research design.

Theoretical Framework Development

• A theoretical framework is essential for understanding key variables such as motivation and job performance, requiring management of theories and models.

• If the theoretical framework does not align with objectives or conclusions, it indicates a failure that can be addressed through dimensions or parameters for measuring variables.

Literature Review and Historical Context

• Background information from previous studies is crucial for gathering insights into existing research conducted by others in the field.

• Various motivational theories (e.g., hierarchy of needs, dual-factor theory) should be explored to understand their relevance to the current study.

Structuring the Theoretical Framework

• Models must be clearly defined within the theoretical framework without using subtitles; all content should flow in prose form.

• Identifying differences and similarities among various models will aid in discussing results later on.

Components of a Comprehensive Theoretical Framework

• Each variable within the theoretical framework requires a structured approach, necessitating distinct sections for each variable being studied.

• Proper citations are vital; references must be included both within the text and in a dedicated bibliography section at the end of the document.

Key Elements of Motivation Analysis

• The theoretical framework should include antecedents, conceptual frameworks, and detailed discussions on motivation summarized succinctly.