Data Sources and Their Implications
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Questions and Answers

What are some disadvantages of using primary source data?

  • It can be time consuming.
  • It can be difficult to analyze.
  • It can be expensive.
  • It can be difficult to collect accurate data.
  • All of the above (correct)

What are some examples of secondary sources?

  • Published Statistics (correct)
  • Focus group interviews
  • Experiments
  • Portfolios

What are the advantages of using secondary data?

  • It can be quick and convenient.
  • It can be less costly.
  • It can provide access to otherwise unavailable sources.
  • It can be ready to use.
  • All of the above (correct)

What are some examples of data sources?

<p>All of the above. (E)</p> Signup and view all the answers

What are the advantages of using direct observation as a data collection method?

<p>All of the above (D)</p> Signup and view all the answers

What are some disadvantages of using direct observation as a data collection method?

<p>All of the above. (E)</p> Signup and view all the answers

What are the advantages of using interviews as a data collection method?

<p>All of the above. (D)</p> Signup and view all the answers

What are some disadvantages of using interviews as a data collection method?

<p>All of the above. (E)</p> Signup and view all the answers

What are some advantages of using telephone interviews as a data collection method?

<p>All of the above (E)</p> Signup and view all the answers

What are some advantages of using questionnaires as a data collection method?

<p>All of the above. (E)</p> Signup and view all the answers

Which data collection method would be most suitable for collecting data about the average time that people spend traveling to work?

<p>Questionnaire (E)</p> Signup and view all the answers

Which data collection method would be most suitable for collecting data about the average time that students spend studying in a week?

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

Which data collection method would be most suitable for collecting data about the number of visitors to a restaurant in a day?

<p>Observation (E)</p> Signup and view all the answers

Which data collection method would be most suitable for collecting data about the lifetimes of different brands of batteries?

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

Which data collection method would be most suitable for collecting data about a new piece of equipment or technique that has never been used before?

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

What are the characteristics of a good question in a questionnaire?

<p>A good question in a questionnaire should be clear, concise, unambiguous, and relevant to the research objectives. It should also avoid leading or double-negative phrasing.</p> Signup and view all the answers

What are the reasons why it is important to avoid leading questions in a questionnaire?

<p>Leading questions can influence respondents' answers and bias the results of the survey.</p> Signup and view all the answers

What are the reasons why it is important to avoid double negative questions in a questionnaire?

<p>Double negative questions can confuse respondents and lead to inaccurate answers.</p> Signup and view all the answers

What are the reasons why it is important to avoid personal questions in a questionnaire?

<p>Personal questions can make respondents uncomfortable and reluctant to answer them, potentially lowering the response rate and biasing the results.</p> Signup and view all the answers

What are the reasons why it is important to avoid questions that require calculations or memory recall in a questionnaire?

<p>Such questions can be difficult for respondents to answer accurately and increase the likelihood of errors in their responses.</p> Signup and view all the answers

What are the reasons why it is important to avoid questions with predictable responses in a questionnaire?

<p>Questions with predictable responses don't provide valuable information and can lead to biased results.</p> Signup and view all the answers

What are the three main features of a good questionnaire design?

<p>All of the above (D)</p> Signup and view all the answers

The main difference between a population and a sample is that a population includes all objects of interest, while a sample only includes a portion of the objects of interest.

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

Which sampling method is the most likely to produce a sample that is representative of the population?

<p>Simple Random Sampling (D)</p> Signup and view all the answers

In simple random sampling each sampling unit has a specific and usually equal probability of being chosen.

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

What are the disadvantages of using non-probability sampling methods?

<p>All of the above. (D)</p> Signup and view all the answers

Judgment sampling is often used in situations where it is important to select a sample based on professional judgment.

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

Quota sampling is often used in situations where it is important to ensure that the sample is representative of the population in terms of certain key characteristics, such as age, gender, or ethnicity.

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

Flashcards

Primary data

Data originally collected for a specific purpose.

Secondary Data

Data collected for one purpose but used for another.

Advantages of Secondary Data

Access to otherwise unavailable sources of information.

Disadvantages of Secondary Data

Data may not be relevant to the study.

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Questionnaire

A structured tool used to gather information from respondents.

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Interview

The process of asking questions to collect data.

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Observation

Directly watching and recording events or behaviors.

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Experiment

Conducting controlled experiments to gather data.

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Population

The complete group you want to study.

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Sample

A smaller group representing the entire population.

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Probability sampling

Ensures every member of the population has a known chance of being selected.

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Non-probability sampling

Selection based on criteria other than probability.

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Simple Random Sampling (SRS)

Selecting a sample using random numbers.

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Systematic Sampling

Selecting every nth item in a list.

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Stratified Sampling

Divide the population into groups based on shared characteristics.

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Judgment Sampling

Sample selected based on personal judgment.

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Quota Sampling

Interviewers are given quotas to fill based on certain characteristics.

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Features of a good questionnaire

Clear and concise questions to avoid ambiguity.

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Study Notes

Data Sources

  • Primary data is collected firsthand for a specific statistical inquiry, like a government census.
  • Secondary data is used for purposes other than its original collection, such as a company using government statistics to project growth.

Advantages and Disadvantages of Secondary Data

  • Advantages*

  • Quick, convenient, and less costly

  • Access to otherwise unavailable data sources

  • Ready to use

  • Provides a broader timeframe for research, encompassing past data.

  • Disadvantages*

  • Collected for different purposes, potentially violating privacy regulations.

  • May not fit the survey's specific purpose.

  • Information might be outdated.

  • Unknown or biased sources of error.

  • Limitations in representativeness and validity of data.

  • Potential limitations in documents

Examples of Data Sources

  • Primary Sources*

  • Questionnaires

  • Interviews

  • Focus group interviews

  • Observations

  • Case studies

  • Portfolios

  • Experiments

  • Secondary Sources*

  • Published statistics (official, digests, and abstracts)

  • Electronic sources (search engines)

  • Documents (e.g., company reports, personal diaries)

Data Collection Methods

  • Direct Observation*

  • Counting cars passing through a tunnel

Advantages of Telephone Interviews

  • Relatively inexpensive
  • Quick
  • Wide geographic reach
  • High response rate
  • Spontaneous responses
  • Can provide help to the respondent.

Disadvantages of Telephone Interviews

  • Repeat calls may be necessary to reach someone
  • Requires straightforward questions
  • Limited use of visual aids
  • Can be irritating for respondents
  • Easy to be refused

Questionnaire Advantages

  • Can be used in multiple ways (interviews, surveys)
  • Wide geographic reach
  • Relatively inexpensive
  • Avoids respondent embarrassment
  • No prior arrangements are required
  • Allows the respondent more time to answer

Questionnaire Disadvantages

  • Questions need to be relatively simple
  • Potentially difficult to design initially and require many edits

Features of a Good Questionnaire

  • Avoid long questions

  • Avoid questions asking multiple things

  • Avoid ambiguous terms

  • Avoid leading questions

  • Avoid personal questions

Questionnaire Layout

  • Good readability of the layout is key
  • Clear instructions are important
  • Questions should be numbered and organised well
  • Include background information and purpose of the survey.

Population and Sample

  • Population: all subjects sharing a common characteristic.
  • Sample: A subgroup of the population.

Sampling Methods

  • Probability sampling: each unit has a known probability of selection (simple, stratified, and systematic).
  • Non-probability sampling: selection is based on convenience or judgment (quota and judgment sampling).

Probability Sampling Methods

  • Simple random sampling: every unit has an equal chance of selection.
  • Systematic sampling: selecting every kth unit from a population.

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Description

This quiz explores the differences between primary and secondary data sources, including their advantages and disadvantages. Participants will learn about various methods for data collection and how secondary data can impact research outcomes. Test your understanding of these concepts and their relevance in statistical inquiries.

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