Questionario pro collection de datos

The question asks about the most practical data collection instrument.
The options provided are Interview, Checklist, Likert's scale, and Questionnaire.

A questionnaire is a research instrument consisting of a series of questions for the purpose of gathering information from respondents.
Questionnaires can be administered in various ways, including online, by mail, or in person.
They are a common tool in survey research.
Questionnaires often use a mix of close-ended and open-ended questions.
Close-ended questions provide a predetermined set of answers, such as multiple choice or rating scales.
Open-ended questions allow respondents to answer in their own words.
Questionnaires are relatively inexpensive compared to other data collection methods.
They can collect data from a large number of respondents.
Data analysis of questionnaires is generally straightforward, especially for close-ended questions.
Response rates can be low, especially for mail surveys.
Respondents may misinterpret questions, leading to inaccurate answers.
There is limited opportunity to clarify questions or probe for more detailed answers.
Questionnaires are useful for gathering standardized data from a large sample.
An example of a questionnaire is a customer satisfaction survey that asks customers to rate their experience on a scale of 1 to 5.

An interview involves direct interaction between a researcher and a participant.
Interviews can be structured, semi-structured, or unstructured.
Structured interviews follow a strict protocol with predetermined questions.
Semi-structured interviews use a guide but allow for flexibility in questioning.
Unstructured interviews are more conversational and exploratory.
Interviews can provide rich, detailed data about participants' experiences and perspectives.
The interviewer can clarify questions and probe for more in-depth responses.
Interviews allow for building rapport with participants, which can increase trust and honesty.
Interviews are time-consuming and expensive, especially for large samples.
Interviewer bias can influence participants' responses.
Data analysis of interview data can be complex and time-consuming.
They are well-suited for exploring complex or sensitive topics and understanding individual experiences.
Examples of interviews include in-depth interviews with experts in a field or focus group interviews with members of a community.

A checklist is a straightforward tool used to ensure that all required steps have been taken or all important items have been considered in an observation or evaluation.
Checklists are simple to use and require minimal training.
They help to ensure consistency and completeness in data collection.
Checklists are useful for observing behaviors, assessing skills, or evaluating performance against specific criteria.
They may not capture the nuances of complex situations.
Checklists provide limited information beyond whether a particular item or behavior is present or absent.
Data analysis is typically descriptive.
Checklists are helpful when standardization and efficiency are important.
An example could be observing whether a medical professional washes their hands between patients.

A Likert scale is a type of rating scale used to measure attitudes, opinions, or perceptions.
Respondents indicate their level of agreement or disagreement with a series of statements.
Typically, a Likert scale includes 5 or 7 response options, ranging from "strongly disagree" to "strongly agree."
Likert scales are easy to administer and analyze.
They provide quantitative data that can be used to compare attitudes across groups.
Respondents may exhibit a response bias, such as a tendency to agree with statements regardless of their content.
The intervals between response options may not be equal, which can affect the interpretation of results.
Useful for measuring attitudes and opinions in a standardized way.
An example of a Likert scale question is “Customer service was helpful.” (Strongly disagree, Disagree, Neutral, Agree, Strongly agree).

Practicality in data collection often depends on factors such as cost, time, ease of administration, and data analysis requirements.
Questionnaires are often considered highly practical due to their relatively low cost and ease of administration to large samples.
Checklists are also practical due to their simplicity.
Interviews, while providing rich data, can be less practical due to their time and resource demands.
Likert scales are practical because they provide quantitative data that is easy to analyze.
Given the context focusing on 'most practical', questionnaires often offer the best balance of cost-effectiveness, ease of administration, and ability to collect data from a broad range of participants.