# data[].attributes.body
It is the part of philosophy that is responsible for studying how we know things. It is important to understand the world, learn and make good decisions.

# data[].attributes.headline
Main epistemological currents in quantitative research

# data[].attributes.subject
Main epistemological currents in quantitative research

# data[].attributes.body
Survey

A method of data collection that involves asking questions of a group of people to obtain information about their opinions, behaviors, or characteristics. Surveys can be conducted in a variety of ways, such as in person, by telephone, online, or by mail.

Questionnaire

A set of structured questions designed to gather specific information from respondents. It is the instrument used within a survey to collect the data.

Types of surveys (in person, telephone, online, by mail)

Structure of a questionnaire

Types of questions (closed, open, multiple choice)

Designing effective questions

Advantages and disadvantages of surveys

# data[].attributes.body
Guide the investigative process

Provides the theoretical and methodological foundations

Facilitates communication between researchers

Provides us with evaluation instruments

Promotes critical reflection

# data[].attributes.body
(S/f). Edu.mx. Recuperado el 19 de agosto de 2024, de https://www.uaeh.edu.mx/docencia/VI_Presentaciones/licenciatura_en_mercadotecnia/fundamentos_de_metodologia_investigacion/PRES38.pdf

Cr, I. (2019, agosto 27). Investigaciones cuantitativas de tipo experimental. Parte 1. Linkedin.com. https://es.linkedin.com/pulse/investigaciones-cuantitativas-de-tipo-experimental-parte-cr

Shuttleworth, M. (s/f). Diseño Cuasi-Experimental. Explorable.com. Recuperado el 19 de agosto de 2024, de https://explorable.com/es/diseno-cuasi-experimental

# data[].attributes.body
Definición y objetivos

Quantitative research is a scientific method that focuses on collecting and analyzing numerical data to describe, explain, and predict phenomena. Through this approach, the aim is to quantify the study variables and establish relationships between them and Describe phenomena: Identify, classify and quantify the characteristics of a phenomenon or population of interest. For example, determining the prevalence of a disease in a certain region. Explain relationships: Establish relationships between variables and determine the degree to which one variable influences another. For example, analyze the relationship between the level of education and economic income.

Proceso general de la investigación cuantitativa

General process: Statement of the problem: The research question is clearly defined.

Formulation of hypotheses: Possible answers to the problem are established.

Research design: The sample is selected, the variables to be measured are chosen and the data collection instruments are designed (surveys, experiments, etc.). Data collection: Data are obtained through the designed instruments.

Data analysis: Data is processed using statistical software and the results are interpreted.

Presentation of results: The research findings are communicated in a clear and concise manner.

Ventajas y limitaciones

Advantages of Quantitative Research Objectivity: By using numerical data and statistical analysis, the influence of the researcher's personal biases is reduced, providing more objective results. Generalization: Results obtained from a representative sample can be generalized to a larger population. Precision: Quantification of data allows for more precise analyzes and comparison of results between different studies.

Limitations:

Reducing complexity: By transforming reality into numbers, important nuances and details that are not easily quantifiable can be lost. Difficulty in capturing depth: Quantitative research does not usually delve into the reasons behind phenomena, limiting itself to describing the relationships between variables. Rigidity: Quantitative research designs tend to be more rigid and less flexible than qualitative designs.

# data[].attributes.body
1. Experimental designs

Quantitative experimental research designs correspond to studies whose development seeks or requires examining the behavior of phenomena or facts, based on the operation of intentional changes in the variables that compose them.

2. Quasi-experimental designs

Quasi-experimental design is a form of experimental research widely used in social sciences and psychology.

Although considered unscientific and unreliable by physicists and biologists, this method is very useful for measuring social variables.

3. Non-experimental designs (cross-sectional and longitudinal)

It is based on categories, concepts, variables,

events, communities or contexts that have already

occurred or occurred without the direct intervention

of the researcher.

TRANSECTIONAL DESIGN

When the research focuses on analyzing what the level or state of one or several variables is at a given moment or on what the relationship is between a set of variables at a point in time

LONGITUDINAL DESIGN

It is used when the researcher's interest is to analyze changes over time in certain variables or in the relationships between these.

# data[].attributes.body
It consists of a quantitative comparison process between two or more elements. Therefore, this instrument combines symbols and numbers to identify the number of times a certain pattern appears in the set of elements studied.

Types of measurement scales

Nominal scale

Ordinal scale

Interval scale

Ratio scale

Specific scales:

Likert scale

Semantic differential scale

Guttman scale

# data[].attributes.body
A data collection technique in which the researcher observes specific behaviors in a controlled environment, using predefined instruments such as checklists or category systems to record the data.

Types of Observation (Direct and Indirect)

Instruments of Observation (Checklists, Category Systems)

Sampling Events and Behaviors

Advantages and Limitations of Structured Observation

# data[].attributes.attachment_link.title
Cómo funciona la investigación cuantitativa paso a paso - CIMEC

# data[].attributes.attachment_link.description
En este artículo te contamos, paso a paso, cómo funciona la investigación cuantitativa y cómo trabajamos en CIMEC para llevarla a cabo.

# data[].attributes.attachment_link.embed_code
La investigación cuantitativa paso a paso

# data[].attributes.headline
Quantitative research has great advantages.

# data[].attributes.subject
Quantitative research has great advantages.

# data[].attributes.body
The study could be replicated in other cultural settings, time periods, or with different groups of participants.

The results can be compared statistically.

Using certain criteria means that quantitative studies can be repeated and then analyzed and compared with similar studies.

With quantitative data analysis, data from large samples can be processed and analyzed using reliable and consistent procedures.

Using formal, established hypothesis testing procedures means carefully considering and reporting study variables, predictors, data collection, and testing methods before drawing conclusions.

This facilitates larger studies that involve more subjects and potentially generalize the results.

Disadvantages:

However, collecting data based solely on quantitative research has some drawbacks. In principle, conclusions are often quite general and some complex issues and their causes may not be fully appreciated. Due to the standardized structure of the survey, the personality of the interviewee is often also not taken into account. Closed questions do not allow detailed and complex answers or suggestions for improvement. Therefore, it is necessary to carefully plan which research method is suitable for the respective field of application.