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Researchers want to know if the time spent at work and listening to music affect productivity at work. They recruit 100 people, and randomly assign them to be in 1 of 4 conditions: • Group 1 works 6 hours/day and listens to music while working. • Group 2 works at a 6 hours/day and does not listen to music while working. • Group 3 works at a 9 hours/day and listens to music while working. • Group 4 works at a 9 hours/day and does not listen to music while working. After 2 weeks of working, researchers measured the number of tasks each employee accomplished. Results are below. Below is a table showing the factorial design: Music Yes No Time 6 hours 80 90 Spent at 9 hours 80 70 Work

Researchers want to know if the time spent at work and listening to music affect productivity at work. They recruit 100 people, and randomly assign them to be in 1 of 4 conditions: • Group 1 works 6 hours/day and listens to music while working. • Group 2 works at a 6 hours/day and does not listen to music while working. • Group 3 works at a 9 hours/day and listens to music while working. • Group 4 works at a 9 hours/day and does not listen to music while working. After 2 weeks of working, researchers measured the number of tasks each employee accomplished. Results are below. Below is a table showing the factorial design: Music Yes No Time 6 hours 80 90 Spent at 9 hours 80 70 Work

Ciccarelli: Psychology_5 (5th Edition)
Ciccarelli: Psychology_5 (5th Edition)
5th Edition
ISBN:9780134477961
Author:Saundra K. Ciccarelli, J. Noland White
Publisher:Saundra K. Ciccarelli, J. Noland White
Chapter1: The Science Of Psychology
Section: Chapter Questions
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### Study on the Impact of Music and Working Hours on Productivity Researchers aimed to determine if the duration spent at work and listening to music influence productivity in the workplace. They recruited a sample of 100 individuals, who were randomly assigned to one of four groups with specific working conditions: - **Group 1:** Works for 6 hours/day while listening to music. - **Group 2:** Works for 6 hours/day without listening to music. - **Group 3:** Works for 9 hours/day while listening to music. - **Group 4:** Works for 9 hours/day without listening to music. After two weeks, researchers measured and recorded the number of tasks each employee completed. The results of the study are presented in the table below: #### Experimental Design and Results: | Time Spent at Work | Music | Number of Tasks Accomplished | |--------------------|-------|------------------------------| | 6 hours | Yes | 80 | | 6 hours | No | 90 | | 9 hours | Yes | 80 | | 9 hours | No | 70 | #### Observations: The table above demonstrates the factorial design of the experiment, showing the interplay between working hours and the presence of music: - Employees who worked for 6 hours a day without listening to music accomplished the most tasks (90). - Employees who worked for 9 hours a day without listening to music completed the fewest tasks (70). - Listening to music while working did not significantly affect the productivity of those who worked for 6 or 9 hours. This study suggests that working longer hours does not necessarily translate to higher productivity, and listening to music might not have a significant impact on the number of tasks completed.
Transcribed Image Text:### Study on the Impact of Music and Working Hours on Productivity Researchers aimed to determine if the duration spent at work and listening to music influence productivity in the workplace. They recruited a sample of 100 individuals, who were randomly assigned to one of four groups with specific working conditions: - **Group 1:** Works for 6 hours/day while listening to music. - **Group 2:** Works for 6 hours/day without listening to music. - **Group 3:** Works for 9 hours/day while listening to music. - **Group 4:** Works for 9 hours/day without listening to music. After two weeks, researchers measured and recorded the number of tasks each employee completed. The results of the study are presented in the table below: #### Experimental Design and Results: | Time Spent at Work | Music | Number of Tasks Accomplished | |--------------------|-------|------------------------------| | 6 hours | Yes | 80 | | 6 hours | No | 90 | | 9 hours | Yes | 80 | | 9 hours | No | 70 | #### Observations: The table above demonstrates the factorial design of the experiment, showing the interplay between working hours and the presence of music: - Employees who worked for 6 hours a day without listening to music accomplished the most tasks (90). - Employees who worked for 9 hours a day without listening to music completed the fewest tasks (70). - Listening to music while working did not significantly affect the productivity of those who worked for 6 or 9 hours. This study suggests that working longer hours does not necessarily translate to higher productivity, and listening to music might not have a significant impact on the number of tasks completed.
**Research Analysis: Effects on Productivity** **Research Questions:** 1. Is there a main effect of listening to music on productivity? If so, describe it below. 2. Is there a main effect of time spent at work on productivity? If so, describe it below. 3. Is there an interaction between time spent at work and listening to music? If so, describe it below. ***Instructions:*** Examine the data and provide detailed descriptions for each of the questions above. Your analysis will help determine the relationships and possible interventions to enhance productivity in various work environments.
Transcribed Image Text:**Research Analysis: Effects on Productivity** **Research Questions:** 1. Is there a main effect of listening to music on productivity? If so, describe it below. 2. Is there a main effect of time spent at work on productivity? If so, describe it below. 3. Is there an interaction between time spent at work and listening to music? If so, describe it below. ***Instructions:*** Examine the data and provide detailed descriptions for each of the questions above. Your analysis will help determine the relationships and possible interventions to enhance productivity in various work environments.
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