Data Collection Design Seminar 4
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Questions and Answers

Which sampling technique relies heavily on the researcher's subjective belief that selected individuals are representative of the target population?

  • Judgment Sampling (correct)
  • Probability Sampling
  • Simple Random Sample
  • Quota Sampling
  • When would Quota Sampling be a suitable choice?

  • When studying a rare phenomenon with a limited population
  • When the objective is to identify and analyze patterns in human behavior over time.
  • When needing to ensure certain subgroups within the population are represented (correct)
  • When the target population is large and easily identifiable
  • What is a key characteristic of Probability Sampling?

  • Each element in the population has an equal chance of being selected. (correct)
  • It's ideal when the target population is difficult to identify or access.
  • The researcher's judgment is the primary factor in selecting participants.
  • It's primarily used for qualitative research with limited populations.
  • Which of these is NOT a characteristic of Probability Sampling?

    <p>The sampling process is often influenced by researcher bias. (B)</p> Signup and view all the answers

    What is the main advantage of using Snowball Sampling?

    <p>Efficiently reaching hard-to-reach populations through referrals. (B)</p> Signup and view all the answers

    Which sampling technique would be MOST appropriate for studying a rare disease affecting a small, geographically dispersed population?

    <p>Snowball Sampling (B)</p> Signup and view all the answers

    When is Judgment Sampling considered beneficial?

    <p>When a researcher requires specialized knowledge or expertise from the participants. (A)</p> Signup and view all the answers

    What is a primary limitation of Quota Sampling?

    <p>It does not guarantee a representative sample, as convenience sampling is used within each subgroup. (A)</p> Signup and view all the answers

    Which of the following is a characteristic of a systematic random sample?

    <p>Individuals are selected from the population at regular intervals. (A)</p> Signup and view all the answers

    What is the primary purpose of survey research?

    <p>To gather data from a large sample of people to understand relationships and make predictions. (B)</p> Signup and view all the answers

    Which type of probability sampling involves dividing the population into subgroups based on a specific characteristic?

    <p>Stratified Random Sample (C)</p> Signup and view all the answers

    What is the main difference between a nominal scale and an ordinal scale?

    <p>A nominal scale allows for ranking of responses, while an ordinal scale does not. (B)</p> Signup and view all the answers

    Which level of measurement allows for the calculation of absolute differences between responses?

    <p>Ratio scale (D)</p> Signup and view all the answers

    Which of the following is NOT a characteristic of survey research?

    <p>Focus on qualitative data rather than quantitative data. (D)</p> Signup and view all the answers

    In which type of probability sampling are subsamples drawn within different strata using simple random sampling?

    <p>Stratified Random Sample (A)</p> Signup and view all the answers

    What is the main advantage of using an interval scale over a nominal scale?

    <p>An interval scale allows for the calculation of absolute differences between responses, while a nominal scale does not. (D)</p> Signup and view all the answers

    Which scale is characterized by distinct categories that are not ordered or measured, and subjects fall into categories?

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

    Which of these options accurately describes the difference between Nominal and Ordinal scales?

    <p>Nominal scales lack order or measurement; Ordinal scales allow for a rank order of scores. (B)</p> Signup and view all the answers

    What is the primary limitation highlighted in the example provided for the Nominal scale?

    <p>The categories do not allow for absolute comparisons between respondents. (C)</p> Signup and view all the answers

    What is the key characteristic of the Ordinal scale that differentiates it from the Nominal scale?

    <p>It follows a logical order that defines the relationship between response categories. (A)</p> Signup and view all the answers

    Which of the following is a valid example of an Ordinal Continuous scale?

    <p>Rating customer satisfaction on a 5-point scale ranging from 'Very Satisfied' to 'Very Dissatisfied'. (D)</p> Signup and view all the answers

    What is a sample in the context of research?

    <p>A subset of the target population selected for study. (B)</p> Signup and view all the answers

    Why do researchers often use samples rather than studying the entire population?

    <p>Studying the entire population is often impossible due to logistical and practical limitations. (B)</p> Signup and view all the answers

    Which of the following is an example of convenience sampling?

    <p>Using the first 50 people who walk into a library. (B)</p> Signup and view all the answers

    In which scenario would non-probability sampling be most appropriate?

    <p>Investigating a specific phenomenon within a small group. (A)</p> Signup and view all the answers

    What is a potential limitation of convenience sampling?

    <p>It can result in biases and limited generalizability of findings. (A)</p> Signup and view all the answers

    If a researcher wants to ensure their findings are representative of the entire population, which type of sampling is most recommended?

    <p>Probability sampling. (D)</p> Signup and view all the answers

    What is the primary goal of sampling in research?

    <p>To obtain a subset of the population that is representative of the whole. (B)</p> Signup and view all the answers

    Which of the following is a characteristic of a Likert scale?

    <p>It is often used to measure attitudes and opinions. (C)</p> Signup and view all the answers

    Which of these is NOT a recommended practice when constructing a Likert scale?

    <p>Using absolute terms like 'always' or 'never'. (A)</p> Signup and view all the answers

    Which scale type allows for the use of one-to-one transformations?

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

    What is the primary purpose of using adjectival scales?

    <p>To measure the intensity of a feeling or attribute. (C)</p> Signup and view all the answers

    Which of the following is NOT a permissible statistic for ordinal scales?

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

    What is the main difference between a unipolar and a bipolar Likert scale?

    <p>Unipolar scales have a single endpoint, while bipolar scales have two endpoints. (C)</p> Signup and view all the answers

    Which type of scale is most suitable for measuring satisfaction levels on a continuous line?

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

    What is a key consideration when deciding on the number of categories in a Likert scale?

    <p>The type of statistical analysis to be conducted. (C)</p> Signup and view all the answers

    Study Notes

    Data Collection Design

    • Seminar 4: Presented by Dr. Waqas Ahmed
    • Agenda Topics: Sampling, Survey, Measurement Scales, Piloting, Ethical Considerations

    Sampling

    • Definition: Selecting a small group from a larger group to understand the larger group.
    • Purpose: Researchers often can't study the entire population, so they select a representative sample.
    • Types of Non-Probability Sampling:
      • Convenience Sampling: Selecting participants based on convenience. Assumes the sample mirrors the overall population.
      • Judgment Sampling: Selecting participants based on the researcher's or expert's judgment that they meet specific criteria. Assumes experts' opinions are representative.
      • Quota Sampling: Dividing the population into subgroups (e.g., gender, age). Taking a sample from each to be representative of the subgroups' proportions in the population.
      • Snowball Sampling: Initial participants refer new participants meeting the criteria. Usually used in hard-to-reach populations.
    • Types of Probability Sampling:
      • Simple Random Sampling: Each member of the population has an equal chance of being selected.
      • Systematic Random Sampling: Selecting every nth member from a list.
      • Stratified Random Sampling: Dividing the population into subgroups and randomly selecting from each.
      • Cluster Sampling: Dividing the population into clusters and randomly selecting entire clusters.

    Survey Research

    • Purpose: Collect data from a large sample to describe and/or understand relationships.
    • Characteristics: Structured responses, administered to a wider group of people.
    • Applications: Make predictions and understand relationships.

    Survey Methods

    • Types:
      • Personal: Door-to-door, Mall Intercept
      • Mail: Mail Panel, Mail Survey
      • Telephone: Telephone Interview (Computer Assisted)
      • Internet: Email, Online Survey
    • Method Comparison (Table): The table details the various survey methods' contact, sample size, depth, length, response speed, cost, and bias.

    Measurement Levels

    • Nominal: Categorical data. (e.g., gender, marital status)
    • Ordinal: Ranked data; Magnitude relationships exist. (e.g., education level, satisfaction level)
    • Interval: Numerical data with equal intervals between values. (e.g., temperature)
    • Ratio: Numerical data with a true zero point. (e.g., height, weight)
      • The table details the permissible statistics for each measurement level.

    Responses

    • Nominal: Categorical data, limited response options. (e.g. "do you have trouble training your employees?")
    • Ordinal: Ranked data, visual analogue scales (e.g., "How satisfied are you with the product?")
    • Likert Scale: Rate agreement with statements using a scale. (e.g., strongly agree to strongly disagree)

    Questionnaire Design

    • Wording: Use plain language, simple questions, and mostly closed-ended questions.
    • Layout: Use a professional look, enough spacing, clear instructions, avoid splitting questions across pages. Consistent and clear instructions. 
    • Pilot Testing: Discuss the questionnaire with your supervisor and field-test it with the target group.

    Ethical Considerations

    • Participant rights: Protecting participant privacy, minimizing burden, maintaining sensitivity to different cultures.
    • Research Conduct: Observing professional standards and conducting scientifically rigorous data collection and analysis.
    • Data Report and Access: Appropriately reporting findings and ensuring proper access to data.
    • Quality control: Establishing and adhering to research procedures. Documenting all relevant ethical procedures.

    Validity and Reliability

    • Validity: Measures what it claims to measure.
    • Reliability: Results are consistent over time and across respondents.

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    Related Documents

    Data Collection Design PDF

    Description

    Join Dr. Waqas Ahmed as he explains the intricacies of data collection design, focusing on important topics like sampling methods, survey creation, measurement scales, and ethical considerations. This seminar provides essential insights for researchers looking to effectively gather and analyze data.

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