Open-response questionnaire items quiz

1.  What are open-response questionnaire items?

•   Open-response questionnaire items collect numerical data to determine the differences and similarities among items and categories of items, using statistical analysis.

• They are those that require respondents to select their answer(s) from a limited list or selection.

• They are those that require respondents to answer in their own words by writing in a space that is provided in which researchers find out what people are thinking about a particular topic or issue.

2.  What are the most common types of open-response items?

• Biodata Items and sentence completion.

•   Fill-in and Biodata items.

• Fill-in and

  short-answer items.

3. 3. Why use open-response questionnaire items in applied linguistics research?

• Because it requires less time to analyze.

• To obtain less relevant information from the participants.

• To increase the difficulty in interpreting the results.

• To obtain more detailed and direct answers from participants.

4. 4. What are not open-response items? Choose the best option.

• They are not discourse completion tasks.

• They are not tests, they don't have ‘good’ or ‘bad’ answers.

• They are not tests.

• All of them.

5. 5. What are the steps to collect your data?

   Choose the correct order.

•    Step 1: Selecting your sample.

  Step 2: Writing items.

  Step 3: Administering your questionnaire.

  Step 4: Formatting the questionnaire effectively.

•   Step 1: Selecting your sample.

  Step 2: Formatting the questionnaire effectively.

  Step 3: Writing items.

  Step 4: Administering your questionnaire.

   

• Step 1: Selecting your sample.

  Step 2: Writing items.

  Step 3: Formatting the questionnaire effectively.

  Step 4: Administering your questionnaire.

6. 6. Which method can be used to organize open-response data?

• Transcribing data on sheets.

• Use statistical analysis software to organize data.

• Transcribing data onto 3X5 cards for analysis.

• Assigning identification numbers and photocopying original response sheets.

7. 7. What is an essential strategy for reducing open response data to useful and interesting patterns?

• A. Employ analysis software.

• B. Transcribe manually the data on sheets of paper for analysis.

• C. Create categories during transcription and data analysis.

• A and C are correct.

8. 8. Which commonly used method can help present findings obtained from open-response questions in a questionnaire?

• Use only numerical summaries to represent the data collected.

• Separate the data into categories and explain the findings based on each one.

• Include only relevant quotes from respondents to illustrate salient points.

• Avoid mentioning the names of the participants to protect their identity.

9. 9. What is a recommended strategy to improve the quality of data collected using open-response questions in a questionnaire?

• Carry out an exclusive analysis of the responses of those participants who answered all the questions in the questionnaire.

• Require that all participants answer all questions compulsorily.

• Limit the number of open-response questions and place them at the beginning of the questionnaire.

• Make open-response questions optional and place them at the end of the questionnaire.

10. 10. Why is it important to minimize the number of open-ended questions in a questionnaire?

• To increase the representativeness of the sample.

• To ensure that all responses are relevant and coherent.

• To prevent respondents from becoming frustrated by the amount of time required.

• To allow respondents to freely express their opinions without restrictions.