Questionnaire Design Basics

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Questions and Answers

What is a recommended approach when asking questions about sensitive topics?

  • Ask leading questions to clarify opinions.
  • Use complex jargon to sound more professional.
  • Include opinionated language to steer responses.
  • Make them non-threatening to encourage honesty. (correct)

Which type of questions are more suited for exploratory research?

  • Closed-ended questions.
  • Open-ended questions. (correct)
  • Leading questions.
  • Double-barreled questions.

Why is it important to avoid ambiguous wording in questions?

  • To confuse respondents intentionally.
  • To create more complex surveys.
  • To guarantee all respondents interpret questions identically. (correct)
  • To ensure responses are easily comparable.

What is a key characteristic of closed-ended questions?

<p>They provide uniformity in responses. (C)</p> Signup and view all the answers

Which of the following is an example of a leading question?

<p>Do you think more people should support renewable energy? (A)</p> Signup and view all the answers

What is a consequence of using double-barreled questions?

<p>Difficulty in determining which part of the question was answered. (A)</p> Signup and view all the answers

What should response categories for closed-ended questions ensure?

<p>They are exhaustive and mutually exclusive. (D)</p> Signup and view all the answers

What is the main benefit of using open-ended questions?

<p>They allow for detailed and nuanced responses. (B)</p> Signup and view all the answers

What is a characteristic of dichotomous questions?

<p>They have two possible answers. (B)</p> Signup and view all the answers

Which type of questions allow respondents to select multiple answers?

<p>Multiple-Response Questions (B)</p> Signup and view all the answers

In which type of survey question do respondents only answer if they meet certain criteria?

<p>Contingency Questions (A)</p> Signup and view all the answers

What is a funnel pattern in survey design?

<p>Broad questions are followed by more specific ones. (B)</p> Signup and view all the answers

What is the main purpose of matrix questions in surveys?

<p>To streamline the survey format. (D)</p> Signup and view all the answers

Why is it important to group related questions in a survey?

<p>To facilitate easier answering for respondents. (D)</p> Signup and view all the answers

Which of the following is NOT a type of question mentioned?

<p>Categorical Questions (B)</p> Signup and view all the answers

What characteristic defines a contingency question?

<p>It includes follow-up questions based on prior responses. (C)</p> Signup and view all the answers

What is the first step to analyze data after identifying its level of measurement?

<p>Data tabulation (C)</p> Signup and view all the answers

Which of the following is NOT a technique for analyzing quantitative data?

<p>Thematic analysis (D)</p> Signup and view all the answers

Why is it beneficial to have two persons work together during data entry?

<p>To ensure faster and more accurate data entry (D)</p> Signup and view all the answers

What is the purpose of data transformation in data management?

<p>To convert data from one format into another (D)</p> Signup and view all the answers

What does data cleansing involve?

<p>Double checking the entered data for accuracy (A)</p> Signup and view all the answers

Which of the following best describes qualitative data analysis?

<p>Fluid and dependent on context (A)</p> Signup and view all the answers

Which step should precede formal qualitative data analysis?

<p>Getting to know the data (C)</p> Signup and view all the answers

What is the maximum number of observations that can be stored in Microsoft Excel?

<p>65,000 observations (B)</p> Signup and view all the answers

What is the primary purpose of placing easy-to-answer questions at the beginning of a questionnaire?

<p>To serve as motivation for respondents. (B)</p> Signup and view all the answers

Which of the following best describes 'response bias'?

<p>An inclination to respond to all questions with similar answers. (B)</p> Signup and view all the answers

Why is pre-testing a questionnaire important?

<p>It gathers feedback to improve clarity and effectiveness. (C)</p> Signup and view all the answers

What is one recommended method for testing a questionnaire?

<p>Asking 5 to 10 individuals to complete the survey while thinking out loud. (A)</p> Signup and view all the answers

Which element is NOT essential when designing a questionnaire?

<p>A lengthy background explanation for each question. (B)</p> Signup and view all the answers

What kind of layout should a questionnaire ideally have?

<p>Spread out and uncluttered for clarity. (B)</p> Signup and view all the answers

What is one objective of conducting a survey?

<p>To present and explain actual experiences of a target population. (B)</p> Signup and view all the answers

Which of the following is NOT a method for gathering data in a questionnaire?

<p>Reading the responses without asking for input. (C)</p> Signup and view all the answers

What is a primary ethical concern associated with covert observation?

<p>Lack of informed consent from the observed individuals. (B)</p> Signup and view all the answers

What is one of the main advantages of overt observation?

<p>Researchers can maintain honesty with participants. (B)</p> Signup and view all the answers

Which of the following is a disadvantage of overt observation?

<p>Participants may change their behavior due to awareness of observation. (B)</p> Signup and view all the answers

How does covert observation benefit researchers?

<p>It allows access to populations that would typically not engage. (B)</p> Signup and view all the answers

What does observational data primarily provide researchers?

<p>Insight into natural settings and social dynamics. (C)</p> Signup and view all the answers

Which type of observation raises immediate ethical issues?

<p>Covert observation. (D)</p> Signup and view all the answers

What is a key characteristic of systematic observation?

<p>It focuses on natural situations to collect data. (A)</p> Signup and view all the answers

In what situation would covert observation likely be required?

<p>In research requiring participant confidentiality. (A)</p> Signup and view all the answers

What is a major advantage of direct observation?

<p>It captures real-time information as events occur. (D)</p> Signup and view all the answers

Which of the following describes a weakness of indirect observation?

<p>The information can be limited based on what is observed. (B)</p> Signup and view all the answers

How can researcher bias impact the effectiveness of behavioral observations?

<p>It can cause misinterpretation of data collected. (B)</p> Signup and view all the answers

How is motivation inferred in behavioral observational data?

<p>Through the frequency of active participation. (A)</p> Signup and view all the answers

In the context of behavioral observation, what is a limitation of direct observation?

<p>It may lead to the researcher influencing the observed behavior. (C)</p> Signup and view all the answers

What does indirect observation primarily rely on to assess behaviors?

<p>Results or outcomes of behaviors. (B)</p> Signup and view all the answers

What might be a reason why seasoned professionals still experience researcher bias?

<p>Familiarity with the subject matter can cloud judgment. (A)</p> Signup and view all the answers

Why is observing trash left after student lunches considered an indirect observation?

<p>It assesses behaviors that happened in the past rather than in real time. (C)</p> Signup and view all the answers

Flashcards

Avoid Leading Questions

Questions that subtly influence a respondent's answer by suggesting a particular viewpoint.

Closed-Ended Questions

Questions that limit responses to specific options, making data analysis easier.

Open-Ended Questions

Questions that allow for detailed and elaborate responses, providing rich data.

Non-Threatening Questions

Questions designed to encourage truthful responses by not implying negative consequences for certain answers.

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Question Clarity

Questions should be precise and unambiguous, avoiding vague or subjective terms.

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Double-Barreled Questions

Questions that ask two or more questions at once, potentially confusing respondents.

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Exhaustive Response Options

Closed-ended questions must include all possible answers to ensure every respondent has a relevant choice.

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Mutually Exclusive Options

Closed-ended question options should not overlap; a respondent should only choose one.

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Dichotomous Questions

Questions with two possible answers (e.g., yes/no, true/false, agree/disagree).

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Multiple-Response Questions

Questions allowing respondents to select multiple answers.

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Matrix Questions

Questions with the same answer choices used repeatedly.

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Contingency Questions

Questions asked only to certain respondents depending on previous answers.

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Funnel Pattern

Survey question order starting with broad questions, then becoming more specific.

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Inverted Pattern

Survey question order starting with specific questions, then becoming more broad.

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Question Grouping

Questions related to the same topic are grouped together in a survey.

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Survey Design

The organizational pattern and arrangement of questions in a survey. This encompasses using patterns like funnel and inverted patterns, as well as grouping questions logically.

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Behavioral Observation

A research method that involves observing and recording people's behavior in a natural setting.

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Direct Observation

Observing an activity as it happens in real-time.

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What does direct observation offer?

Real-time information about behavior.

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What is a drawback of direct observation?

It misses behaviors outside the observed scope.

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Indirect Observation

Observing the results of an activity, not the activity itself.

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What is an advantage of indirect observation?

Non-invasive, doesn't affect behavior.

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What is a limitation of indirect observation?

Limited data based on what is being observed.

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Researcher Bias

Errors in research due to personal beliefs or mental shortcuts.

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Response Bias

A tendency for respondents to answer all questions in a similar way, regardless of the content, leading to inaccurate data.

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Pre-testing Questionnaire

Trying out your questionnaire on a small group of your target audience to identify potential problems and improve its effectiveness.

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Thinking Out Loud

Asking respondents to share their thoughts and reasoning while filling out the questionnaire to uncover insights.

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Hesitations or Mistakes

Indicators of potential problems with the questionnaire's clarity and understanding, needing improvement.

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Clear and Uncluttered Format

A questionnaire layout that is easy to read and navigate, avoiding confusion and fatigue.

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Introduction and Instructions

Essential parts that provide context and guide respondents through the questionnaire.

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Physical Aspects of Questionnaire

Factors like paper type, font, spacing, and page layout that affect readability and respondent experience.

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Survey's Purpose

To collect and analyze data that reflects the experiences and perspectives of a specific population.

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Data Tabulation

Organizing data into tables, showing frequency distributions (how often each value appears) and percentage distributions (what proportion each value represents).

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Data Descriptives

Calculating measures like mean, median, mode, minimum, and maximum to summarize the central tendency and spread of data.

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Data Disaggregation

Breaking down data into smaller groups based on multiple categories to understand differences across subgroups.

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Data Transformation

Changing the format or structure of data. Converting it from one representation to another.

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Data Cleansing

Checking data for errors, inconsistencies, or missing values to ensure accuracy and reliability.

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Qualitative Analysis Process

Analyzing text-based data to identify themes, patterns, and insights. It involves interpreting meaning from spoken or written words.

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Getting to Know the Data

Familiarizing oneself with data by reading through notes, transcripts, listening to recordings and taking notes.

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Formal Systems for Qualitative Data Analysis

Organized methods that help researchers interpret meaning from qualitative data. They offer structured ways to analyze text.

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Covert Observation

A research method where the observer is hidden and participants are unaware they are being observed.

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Overt Observation

A research method where the observer is open and participants know they are being observed.

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Ethical Issues in Covert Observation

Covert observation raises ethical concerns because participants are not informed and cannot provide consent.

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Benefits of Covert Observation

Covert observation allows researchers to access hard-to-reach groups and study natural behavior.

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Advantages of Overt Observation

Overt observation is ethically sound because participants are informed and consent to being observed.

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Disadvantages of Overt Observation

Participants may alter their behavior knowing they are being observed, potentially affecting the validity of the data.

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Purpose of Observation

Observation is a research method used to collect data on people's behavior in natural settings.

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Types of Observation

There are various types of observation, each with its strengths and weaknesses.

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Study Notes

Questionnaire Design

  • A questionnaire is a written document with questions designed to collect firsthand information for analysis
  • A well-designed questionnaire encourages accurate and complete responses, crucial for achieving the survey's objectives
  • Survey research: collecting data from a sample of individuals through their responses to questions or statements
  • Respondent: a person providing data in a survey
  • A questionnaire should be anchored on the research problem
  • A questionnaire shouldn't include every question that comes to mind
  • Likert-scale questions are best for measuring opinions or feelings
  • Avoid appealing solely to respondents' emotions when creating questions
  • Question arrangement matters; it should logically lead the respondent to provide the required information
  • Multiple-choice questions (closed-ended) are efficient for gathering data
  • Testing and revising questionnaires is essential, like fitting a tailored dress to a customer
  • Question wording is critical; keep questions short, simple, and unambiguous. Avoid leading questions or bias.

Question Wording

  • Write short, simple questions; respondents may not fully understand complex ones, so provide clear, concise items that won't be misinterpreted
  • Avoid leading questions. This means avoid wording that steers the respondent towards a specific answer or opinion.
  • Questions should be non-threatening and should aim to elicit truthful responses
  • Avoid ambiguous language like 'usual', 'regular', or 'normal', and clearly define any special terms used
  • Make sure questions are understandable to everyone (define terms, ask questions in logical order)
  • Avoid double-barreled questions; one question should only have one concept or idea.

Types of Questions

  • Open-ended questions allow detailed, in-depth responses. They are useful for exploration and collecting rich data
  • Closed-ended questions offer a standardized set of choices, allowing for easier data analysis. Key examples include: Likert scale, multiple choice, rating scales, ranking, dichotomous, and matrix questions.

Testing and Revising

  • Pre-test the questionnaire with a small group from the target population to identify any ambiguities or issues with the questions.
  • Note respondent's feedback during pre-testing and modify the questionnaire accordingly.

Methods of Gathering Data

  • Conducting a survey can occur through email, telephone, or personal interviews
  • Observation involves watching and recording behavior in a natural setting. This method can be useful when studying or recording natural behaviors
  • Experiments split participants randomly into control and experimental groups. By manipulating a variable, the researcher evaluates the effect.

Data Analysis

  • Data analysis validates research and provides a theoretical foundation
  • Qualitative and quantitative analyses interpret data
  • Steps for preparing quantitative data include: data preparation, validation, editing, coding, and data entry.

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