Finals: Developing a Questionnaire for ER Flashcards

1
Q

Is a research tool used to collect data from participants in a structured manner.

Purpose:
Measure variables in experimental research.
Collect data to test hypotheses.

A

Questionnaire

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2
Q

2 Types of Data:

A

Quantitative
Qualitative

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3
Q

: Numeric, measurable (e.g., Likert scales).

A

Quantitative

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4
Q

Descriptive, open-ended (e.g., free text responses).

A

Qualitative

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5
Q

Importance: Research questions guide questionnaire design.

A

Step 1. Defining The Research Questions

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6
Q

“How does stress affect performance?”

A

Broad Question

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7
Q

“How often do you feel stressed during exams?” and “How do you manage stress?”

A

Sub-questions

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8
Q

: Abstract concepts that are measured using specific questions.
Examples: Job satisfaction, stress, anxiety, resilience.

A

Constructs

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9
Q

: Defining how to measure constructs.

Example: For anxiety, you could use the Generalized Anxiety Disorder Scale (GAD-7).:

A

Operationalization

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10
Q

Closed-ended: Yes/No, multiple-choice, Likert scale.
Example: “Do you often feel anxious before exams? (Yes/No)”
Open-ended: Free-text answers for qualitative insights.
Example: “Describe a situation where you felt anxious before an exam.”
Mixed: Combining both types for depth and breadth.

A

Step 3: Choosing Question Types

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11
Q

this is a type of questionrafeee where its focus on Yes/No, multiple-choice, Likert scale.

Example: “Do you often feel anxious before exams? (Yes/No)”

A

Closed-ended Questions

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12
Q

it is a find of questionnaies. Free-text answers for qualitative insights.
Example: “Describe a situation where you felt anxious before an exam.”

A

Open-ended

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13
Q

: Combining both types for depth and breadth.

A

Mixed Questions

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14
Q

Definition: A scale used to measure attitudes or feelings across a range of values.

Example:
“I feel anxious before exams.”
Response options: Strongly Disagree (1) to Strongly Agree (5).

Why Use It?: Offers a nuanced understanding of the intensity of feelings or attitudes.

A

Likert Scale Example

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15
Q

Purpose: Pilot testing helps identify issues with question clarity, length, or flow.

A

Step 4: Pilot Testing the Questionnaire

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16
Q

For more complex or longer questionnaires, a larger sample (around 20-30 participants) can provide more comprehensive feedback on issues like wording, structure, and time to complete.

A

Complexity of the Questionnaire

17
Q

The participants in the pilot test should resemble the actual sample population. If your study targets a specific demographic (e.g., students, employees), ensure your pilot sample mirrors this group in terms of characteristics such as age, education, or professional background.

A

Target Population

18
Q

Pilot testing isn’t just about statistical analysis—it’s about gathering qualitative feedback from participants to improve question clarity and relevance. Even a smaller group (10-15 participants) can be sufficient for detecting most problems related to question interpretation.

A

Qualitative Feedback

19
Q

If your experimental study will involve a larger sample (e.g., several hundred participants), conducting a pilot test with a larger group (20-30 participants) can help ensure that the questionnaire works well on a broader scale.

A

Sample Size in Main Study

20
Q

Checklist for Finalizing:
Clear and concise wording.
No double-barreled questions.
No leading or biased questions.
Logical question order and flow.

A

Step 5: Finalizing the Questionnaire

21
Q

Checklist for Finalizing:
Clear and concise wording.
No double-barreled questions.
No leading or biased questions.
Logical question order and flow.

A

Step 5: Finalizing the Questionnaire

22
Q

: The degree to which the questionnaire measures what it is intended to measure.

A

Ensuring Validity

23
Q

Does the questionnaire cover all relevant aspects of the construct?

A

Content Validity:

24
Q

Do the questions truly reflect the theoretical constructs?

A

Construct Validity:

25
Q

: The consistency of the questionnaire over time.

A

Ensuring Reliability

26
Q

Stability of responses when administered multiple times.

A

Test-retest Reliability:

27
Q

The degree to which items measuring the same construct correlate (Cronbach’s alpha).

A

Internal Consistency:

28
Q

Ensure participants understand the purpose and scope of the study.

A

Informed Consent

29
Q

: Protect participant data.

A

Confidentiality

30
Q

: Respondents should be free to withdraw at any time.

A

Voluntary Participation

31
Q

: Administer a motivation questionnaire before the intervention.

32
Q

: Administer the same questionnaire after the intervention to measure changes.