Impact of GPS Use on Driving Accident Risk and Cognitive Decline: Research Proposal and Analysis

March 29, 2023
Mason Robinson
Mason Robinson
🇺🇸 United States
Data Analysis
Mason Robinson, a Weber State University master's graduate in Data Analysis, is a seasoned expert. With a passion for aiding students, Mason offers invaluable assistance in assignments, leveraging his expertise for academic success.
Key Topics
  • Problem Description
  • Experimental Setup:
    • Consideration of Confounding Factors:
    • Validity and Confounders:
    • Data Analysis:
    • Correlations:
    • Interpretation:
    • Causal Relationship:
    • Generalization:
  • Conclusion

In our study, we set out to examine the connection between GPS utilization and driving accident risk. We present a meticulously designed research proposal that encompasses both the potential risks associated with GPS usage during driving and its impact on cognitive function, especially in older adults. By analyzing this correlation, our research seeks to shed light on factors influencing road safety and cognitive health, contributing to a more informed and safer future for drivers.

Problem Description

This research proposal aims to investigate the influence of using GPS while driving on the risk of accidents for a data analysis assignment. The primary objective is to explore whether the use of GPS, serving as the independent variable, affects the likelihood of driving accidents, our dependent variable. We have two conditions for the independent variable: "Yes GPS" (using GPS while driving) and "No GPS" (driving without GPS).

Experimental Setup:

To facilitate this research, participants will be categorized into two groups: GPS (control group) and No GPS (experimental group). The division will be achieved through simple random sampling to ensure the minimization of potential bias. Both groups will adhere to fixed speed and driving time for consistency. We hypothesize that driving with access to GPS will result in an increased risk of accidents due to potential distractions.

Consideration of Confounding Factors:

The study recognizes that disability, such as cognitive decline, reduced vision, and hearing, may significantly affect accident rates. Therefore, we will exclusively involve able-bodied adults in this experiment. Additionally, the impact of alcohol use on accident risk cannot be ignored. To mitigate this effect, all participants who use alcohol will be excluded from the experiment.

Validity and Confounders:

Maintaining the validity of the research is essential to ensure that it accurately measures real-world properties. It is crucial to acknowledge the presence of potential confounding factors, such as restlessness, alcohol use, and speeding, which could influence accident rates and, consequently, threaten the internal validity of the study.

Data Analysis:

Detailed data analysis will be performed to derive meaningful insights. The mean and standard deviation for accidents in both Condition A and Condition B are summarized in the following table:

ConditionMean AccidentsStandard Deviation
A2.001.64
B2.001.69
  • Table 1:Detailed data analysis

Furthermore, the accompanying histogram reveals essential insights:

  • In Condition A, more than 66% of participants had at most two accidents.
  • In Condition B, less than 44% of participants had at most two accidents.

These findings suggest that Condition B had a more pronounced impact on accidents.

Cognitive Function Data Analysis:

This segment employs a descriptive research design, akin to naturalistic observation, to scrutinize cognitive function. The analysis encompasses various facets of cognitive function, starting with Age.

Descriptive Statistics for Age:

StatisticValue
Median63.000
Mean63.756
Minimum52.000
Maximum84.000
  • Table 2: Descriptive statistics for age

The mean and median exhibit disparities due to the non-normal distribution of Age, implying positive skewness.

Histogram of age Outlier
  • Fig 1: Histogram of ageOutlier

Outlier Removal:

Before conducting any statistical analyses, the removal of outliers is deemed necessary. These excluded data points are, however, retained in case of future need, ensuring transparency and completeness of the study.

Summary Statistics:

VariableMeanStandard Deviation
Arts Attend1.9191.353
Cinema Attend1.6971.259
Cognitive Change-1.9372.004
  • Table 3:Key Variables Summary Statistics

Participating individuals, on average, engage in the arts and visit the cinema approximately once or twice a year. Furthermore, there is a clear indication of cognitive decline over the ten-year study period.

Correlations:

Correlations between variables were explored, yielding the following results:

VariablePearson's rp-value
Arts Attend0.1290.055
Cinema Attend0.348<0.001
  • Table 4:correlations between variables
  • Arts Attend and Cognitive Change exhibit a positive but very weak relationship.
  • Cinema Attend and Cognitive Change demonstrate a positive but weak relationship.

Significantly, a positive relationship is observed between Cinema Attend and Cognitive Change.

95% Confidence Interval:

Pearson's Correlations, along with their corresponding 95% confidence intervals:

VariablePearson's rp-valueUpper 95% CILower 95% CI
Arts Attend0.1290.0550.257-0.003
Cinema Attend0.348<0.0010.4590.227
  • Table 5: 95% Confidence Intervals for Correlations

Interpretation:

The analysis reveals that the degree of cultural engagement is linked to cognitive decline. This implies that increased cultural engagement correlates with more substantial cognitive decline.

Causal Relationship:

The results point to a causal relationship between cultural engagement and the degree of cognitive decline in older age. Both variables positively impact each other.

Generalization:

It is reasonable to generalize the results of this study to the broader population of England, as the sample is representative of the country. However, it is important to note that the findings may not be applicable to countries beyond England, as the sample exclusively pertains to this region.

Conclusion

Our research, provides a comprehensive exploration of the relationship between GPS utilization and driving accidents. Our research proposal and analysis cover the potential risks associated with GPS usage while driving, and its impact on cognitive function, particularly in older adults.By meticulously addressing confounders, statistical correlations, and validity concerns, our study contributes valuable insights into road safety and cognitive health. These findings have the potential to inform and improve driving practices, making the roads safer for all. Additionally, our analysis highlights the interplay between cultural engagement and cognitive decline, shedding light on the intricacies of aging and intellectual well-being.

You Might Also Like

Explore our diverse sample collection for insightful assignments covering fundamental concepts to advanced methodologies. Dive into a wealth of topics and solutions tailored to your needs. Unlock valuable knowledge and inspiration through our curated samples.