Variables de estudio, tipos y como conceptualizar y operacionalizar las mismas - Seminario de Tesis

Understanding Study Variables

Introduction to Variables

• The session aims to help identify, define, and operationalize research variables. It emphasizes understanding the concept of a variable and its types.

Research Context

• The focus is on the relationship between job satisfaction and productivity among sales workers at Claro Perú in 2015. The study will examine these two aspects as the main variables.

Definition of Variables

• A variable is defined as any observable characteristic of the study object that can take different values or be expressed in various categories (e.g., gender, leadership level).

Classification of Variables

• Variables can be classified by:

• Nature: Qualitative (ordinal, nominal) and Quantitative (interval, ratio).

• Measurement Level: Nominal, ordinal, interval, ratio.

• Hypothesis Position: Independent and dependent variables.

Types of Qualitative Variables

• Qualitative variables express qualities or characteristics:

• Ordinal: Can take ordered values but intervals may not be uniform (e.g., mild, moderate, severe).

• Nominal: Categories without a specific order (e.g., gender, colors).

Types of Quantitative Variables

• Quantitative variables are expressed numerically:

• Interval: Identifies differences with equal distances between points (e.g., IQ scores).

• Ratio: Has a true zero point indicating absence of an attribute (e.g., weight, height).

Independent vs Dependent Variables

Understanding Variable Relationships

• Independent variables are presumed causes affecting dependent variables which reflect changes due to manipulation by researchers. For example:

• Implementation of Module 21 as an independent variable affects tracking guides and invoices as dependent variables.

Importance of Conceptual Definitions

• Defining a variable conceptually clarifies its meaning based on theoretical perspectives chosen for research. An example includes defining "organizational climate."

Operationalization Process

Steps in Operationalizing a Variable

• After conceptual definition, operational definitions must be established through procedures for measuring the defined variable.

• Example: "Organizational climate" has eight dimensions for measurement purposes.

Translating Concepts into Indicators

• Operationalization involves translating abstract concepts into measurable indicators based on theoretical frameworks adopted in research.

• Example: "Work motivation" consists of three dimensions—motivational needs, motivational drives, and motivational incentives—with corresponding indicators formulated for each dimension.

Key Takeaways on Variable Characteristics

Summary Insights

1. Variables are attributes present within populations that vary from one individual to another.

2. They can be qualitative or quantitative; measured using nominal scales or interval/ratio scales.

3. Identifying and defining these variables is crucial in all research endeavors.

4. Conceptualizing a variable requires grounding it within a specific theoretical framework.

5. Operationalizing means moving from abstract ideas to concrete indicators for effective measurement purposes.