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Open-Ended Survey Questionnaries (Jorge Gòmez and Sussette Sanchez) 

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Open-Ended Survey Questionnaries (Jorge Gòmez and Sussette Sanchez) 

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Open Ended Surveys and Questionnaries are research tools that allow respondents to provide anwsers in their own words, rather than selecting from predefined options.

This approach is often used in qualitative research to explore participants` thought feelings, and experiences in depth. Here`s an overview of their key aspects:

Characteristics of Open-Ended Surveys and Questionnaires:

1. Flexibility in Responses: Participants can express their views without the constraints of predefined answers, leading to more detailed and nuanced data.

2. Rich, Qualitative Data: These tools capture the complexity of human emotions, behaviors, and experiences, making them useful for exploring new or complex topics.

3. Exploratory Nature: Open-ended questions are ideal when the research aims to explore unknown areas or when researchers are not sure what answers to expect.

4. Subjectivity: The responses reflect personal perspectives, which can provide insights into individual differences and context-specific factors.

Advantages:

- Depth and Insight: Open-ended questions allow respondents to elaborate, providing richer and more informative data.

- Flexibility: Participants can respond in a way that truly reflects their opinions or experiences, leading to more authentic data.

- Discovery of New Insights: Researchers can uncover unexpected themes or insights that might not emerge through closed-ended questions.

Disadvantages:

- Time-Consuming: Both for respondents to answer and researchers to analyze, as responses need to be interpreted and coded.

Complex Data Analysis: Requires more sophisticated analytical skills and tools, often involving qualitative data analysis techniques like coding and thematic analysis.

Potential for Ambiguity: Responses can sometimes be vague or off-topic, making interpretation challenging.

Common Uses in Research:

Exploratory Studies: When the goal is to explore new areas or gather in-depth information about complex issues.

Needs Assessments: To understand the needs, challenges, or preferences of a specific group.

Program Evaluations: To gather feedback on participants’ experiences with programs or interventions.

Examples of Open-Ended Questions:

“What are your thoughts on the current educational system?”

“Can you describe a challenge you faced while using technology in the classroom?”

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A case study is a study where a person, group, or event is analyzed in every aspect of the subject's life and history to seek patterns and causes of behaviors. It can be used to analyze many different fields such as education, psychology, and social work, among others. Case studies are a valuable qualitative method in e-learning and ESL/EFL teaching research because they allow for an in-depth exploration of specific instances of learning environments, teaching practices, or student experiences.

Luana Landau

Natalia Araúz

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Hybrid methodology in qualitative research refers to the integration of multiple qualitative approaches or the blending of qualitative and quantitative methods to enhance the depth and breadth of the research findings. In education, this might involve:

1. Combining Qualitative Approaches: Integrating various qualitative methods such as interviews, focus groups, observations, and content analysis.

2. Comprehensive Understanding: Combining methods can offer a fuller picture.

3. Triangulation: Using multiple methods helps validate findings by cross-verifying data from different sources.

4. Flexibility: Researchers can adapt their approaches based on what they find, allowing for more nuanced insights.

5. Rich Data: Different methods can capture various aspects of a phenomenon, leading to richer and more nuanced data.

Examples:

1. Flipped Classroom

Students engage in deeper discussions and reflective activities

2. Blended Learning

teachers can use online forums and discussion boards to capture qualitative data on students' thought processes.

3. Project-Based Learning with Online Collaboration

Observations and feedback from both online and in-person interactions

4. Hybrid Case Studies

In-person discussions allow for qualitative exploration of students’ interpretations.

5. Interactive Simulations and Workshops

In-person meetings offer opportunities for in-depth qualitative assessment of students’ learning journeys.

source:

http://dx.doi.org/10.3991/ijep.v3i4.2761

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Mitzila Ríos - Audio and Video Recordings

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Mitzila Ríos - Audio and Video Recordings

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Videorecording allows the researcher to record and replay the pictures and sound of an event. As such, it can be a valuable research tool.

Nevertheless, it is not just a simple measuring instrument.

Researchers should indicate clearly the role of this tool in their work and discuss the factors that may have an influence on the way it is used or on the data analysed.

In qualitative research, it is used in a number of ways having several distinct modes of operation actioned by different individuals:

Observational recording, Subject viewing, Subject response, Subject self-reflection, Subject recording, Researcher presentation.

Penn-Edwards, S. (2004). Visual Evidence in Qualitative Research: The Role of Videorecording. The Qualitative Report, 9(2), 266-277. https://doi.org/10.46743/2160-3715/2004.1928

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Qualitative vs. Quantitative Data:

Qualitative data is descriptive and focuses on the characteristics or qualities of what is being studied. It often involves interviews, observations, and open-ended surveys to gather in-depth insights about people's experiences, behaviors, and emotions. In contrast, quantitative data is numerical and focuses on measuring or quantifying variables. It involves statistical analysis, experiments, and structured surveys to produce results that can be counted or compared mathematically.

The main difference between the two lies in their approach: qualitative data provides rich, detailed information that helps us understand the "why" behind phenomena, while quantitative data offers objective, measurable evidence that helps us understand the "what" and "how much." While qualitative research explores deeper meanings, quantitative research aims for generalizable results through numbers and statistics.

Source: John W. Creswell, Research Design: Qualitative, Quantitative, and Mixed Methods Approaches (5th Edition

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According to (Smith, 2020), Focus groups are a common qualitative research method used to gather in-depth insights into people's attitudes, perceptions, and behaviors.

Structured and process:

Selection of Participants: Focus groups typically consist of 6-10 participants who share certain characteristics relevant to the research question. Participants are often selected based on criteria such as demographics, experiences, or behaviors pertinent to the study.

Moderation: A trained moderator guides the discussion, ensuring that it remains on topic and that all participants have the opportunity to contribute. The moderator uses a discussion guide with open-ended questions to prompt dialogue and stimulate interaction among participants.

Discussion Guide: The discussion guide is a semi-structured outline of topics and questions to be covered. It is designed to elicit detailed responses and stimulate conversation. While the guide provides direction, the moderator can adapt it based on the flow of the discussion.

Data Collection: Data is collected through audio or video recordings of the discussion, along with detailed notes from the moderator. This data is later transcribed and analyzed to identify themes and patterns.

Focus groups are a powerful qualitative research tool that offers deep insights into participants' perspectives through guided group discussions.

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OBSERVATION - Lirieth Cubilla and Mariel Arosemena

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OBSERVATION - Lirieth Cubilla and Mariel Arosemena

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Qualitative

Qualitative observation is a research method where the characteristics or qualities of a phenomenon are described without using any quantitative measurements or data. This type of study is especially well suited for gaining rich and detailed insights into complex and/or subjective phenomena.

Types of Observation

Naturalistic Observation: The researcher observes how the participants respond to their environment in “real-life” settings but does not influence their behavior in any way.

Participant Oservation: Also occurs in “real-life” settings. Here, the researcher immerses themself in the participant group over a period of time.

Case Study: Investigates a person or group of people over time, with the idea that close investigation can later be generalized to other people or groups.

Quantitative

Quantitative observation is a type of observational study. It is often used to gather and analyze numerical data to answer a research question or to make informed decisions. It research projects can provide a structured and rigorous approach to gathering and analyzing data, which can lead to more objective and precise results

Types of quantitative observations

Systematic Observation: Utilizing coding and a strict observational schedule, researchers observe participants in order to count how often a particular phenomenon occurs.

Case Study: Investigates a person or group of people over time, with the idea that close investigation can later be generalized to other people or groups

Archival Research: Utilizes primary sources from libraries, archives, or other repositories to investigate a research question

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TEXT ANALYSIS IN RESEARCH WHILE COLLECTING DATA. (GERARDO AND GABRIELA)

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TEXT ANALYSIS IN RESEARCH WHILE COLLECTING DATA. (GERARDO AND GABRIELA)

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According to Qualitrics.xm, text analysis is the process by which information is automatically extracted and classified from text data. Within the field of Experience Management text could take the form of survey responses, emails, support tickets, call centre notes, product reviews, social media posts, and any other feedback given in free text, as opposed to a multiple-choice format. Text analytics enables students or reasearchers to discover insights from within this unstructured data format.

According to Scribbr's guide to text analysis, it involves systematically examining and interpreting written content to identify patterns, themes, or significant insights. It can be qualitative, focusing on understanding the meaning behind the text, or quantitative, involving the counting and statistical analysis of words, phrases, or structures.

Key methods in text analysis include:

Content Analysis

Thematic Analysis

Discourse Analysis

Linguistic Analysis

Using text analysis in research can uncover deeper insights into the subject matter, helping researchers to generate hypotheses, support conclusions, or develop new theories. Tools like NVivo, ATLAS.ti, and various natural language processing (NLP) tools can assist in conducting text analysis.

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Interviews - Domingo Castillo and Elías Sánchez

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Interviews - Domingo Castillo and Elías Sánchez

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According to Creswell and Poth (2018), interviews are often defined as "A method of data collection that involves direct, verbal interaction between the researcher and participants to explore their perspectives, experiences, and meanings."

The role of interviews in qualitative research is to gather detailed and in-depth information that cannot be obtained through other methods like surveys or experiments.

There are different types of interviews in qualitative research, such as:

1. Structured interviews: They follow a strict set of questions.

2. Semi-structured interviews: They have a general guide but allow for flexibility in the conversation.

3. Unstructured interviews: They are more like open conversations with no fixed questions, allowing the participant to guide the discussion.

In conclusion, interviews play a crucial role in qualitative research by providing rich, detailed data that help researchers understand the deeper meanings behind human actions and experiences.

Creswell, J. W., & Poth, C. N. (2018). Qualitative inquiry and research design: Choosing among five approaches (4th ed.). SAGE Publications.

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What is Qualitative Data?

Data collection in qualitative research focuses on gathering contextual information. Unlike quantitative data, which focuses primarily on numbers to establish ‘how many’ or ‘how much,’ qualitative data collection tools allow you to assess the ‘why’s’ and ‘how’s’ behind those statistics.

Types of Qualitative Data Collection Methods