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The Promise and Perils of Wearable Sensors in Organizational Research – Dr. John Hollenbeck

Research Methods Education Program (RMEP) Advanced Research Methods: Innovations in Methods and Analysis Collection The Promise and Perils of Wearable Sensors in Organizational Research – Dr. John Hollenbeck

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Question 1 of 10

1. Question
Which of the following are examples of psychometric measures collected by modern wearable sensors?
- Proximity to other wearable sensors.
- Body movement.
- Audio frequency and amplitude.
- All of the above.
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Question 2 of 10

2. Question
What type of variance is particularly concerning for researchers collecting data using wearable sensors?
- Between-badge variance.
- Within-badge variance.
- Both between- and within-badge variance.
- Neither between- nor within-badge variance.
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Question 3 of 10

3. Question
What major advantage do different technologies hold over others when collecting psychometric data?
- Bluetooth detection signals are stronger than infrared signals at any proximity.
- Infrared detection signals move more easily than Bluetooth signals through physical barriers.
- Bluetooth detection signals become stronger than infrared signals at a proximity of >3 meters.
- All of the above.
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Question 4 of 10

4. Question
What major concern accompanies increasingly larger cutoff points when using wearable sensors?
- Restricted variance among observations.
- Increased standard deviations among observations.
- Increased within-badge variance.
- Increased correlation between within- and between-badge variance.
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Question 5 of 10

5. Question
For what type(s) of activities are wearable sensors particularly appropriate?
- Measuring boundary-spanning behaviors.
- Measuring informal network ties.
- Measuring interaction frequency between network ties.
- All of the above.
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Question 6 of 10

6. Question
What is the suggested approach for setting thresholds when first implementing new wearable sensors?
- Using the badge's recommended RSSI settings.
- Using pilot tests, etc. to determine study-appropriate RSSI settings.
- Using the badge's liberal RSSI settings.
- Using the badge's conservative RSSI settings.
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Question 7 of 10

7. Question
Along what lines are there noticeable opportunities for improvement to wearable sensor technologies?
- Improving sensor output reliability.
- Distinguishing co-location from actual verbal activity.
- Improving between-badge variability.
- All of the above.
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Question 8 of 10

8. Question
Wearable sensor technology can be used to measure which types of dyadic ties?
- Formal Simmelian bridging ties.
- Informal Simmelian bridging ties.
- Informal non-Simmelian bridging ties.
- Informal broker-mediated bridging ties.
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Question 9 of 10

9. Question
When interpreting network tie data from wearable sensors, what do thick, bold lines denote?
- Frequent interactions between nodes.
- Strong positive associations between nodes.
- Strong negative associations between nodes.
- Infrequent interactions between nodes.
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Question 10 of 10

10. Question
What can be considered an informal threshold between a short- and long-distance sensor proximity?
- 20 meters.
- 10 meters.
- 15 meters.
- 5 meters.
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By CARMA Admin|2024-10-23T12:12:49-04:00November 14th, 2023|Comments Off on The Promise and Perils of Wearable Sensors in Organizational Research – Dr. John Hollenbeck

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