Correlation Analysis in the Study of Midwives’ Retention Intentions Coursework

Exclusively available on Available only on IvyPanda® Made by Human No AI

The study by HakemZadeh et al. (2021) aimed at determining whether the alignment of actual and preferred employment policies affected the retention intentions of midwives. The researchers utilized a cross-sectional design using a sample of 549 Canadian midwives. Surveys were sent to midwives through the Canadian Association of Midwives (CAM) and the Canadian Midwifery Regulators Council (CMRC). The collected data was analyzed using descriptive statistics, correlation analysis, and hierarchical linear regressions. Bivariate correlation analysis was used to understand how the alignment of compensation method, employment status, and work schedule affected the retention intention of midwives.

Correlation analysis is used to measure the strength of correlation between two numerically measured variables to understand if there are possible connections between the variables (Smith, 2018). Thus, the use of correlation analysis is appropriate in this case, as it is aligned with the purpose of the study. However, I believe that the use of regression analysis is more appropriate, as it takes into consideration the complexity of correlation between several variables. The researchers displayed the data and the results in an appropriate manner for the reader to examine the sample characteristics and correlations between all the variables included in the study. However, including some visual help in the form of graphs of charts would also be helpful for the reader to familiarize with the data.

The researchers included correlation coefficients, which are the effect size that measure the strength of the correlation. The correlation analysis revealed that there were significant correlations between intention to stay and employment status alignment, work schedule alignment, compensation method alignment, and financial reward satisfaction. The results of the study stand alone, as they help to understand the factors affecting the retention intentions of midwives. This information can help to create effective workplace policies to reduce turnover among midwives.

References

HakemZadeh, F., Sayin, F. K., Neiterman, E., Zeytinoglu, I. U., Geraci, J., Plenderleith, J., & Lobb, D. (2021). Does an alignment of employment policies and individual preferences affect intention to stay in the profession? Evidence from Canadian Midwives. Health Policy, 125(4), 450-458.

Smith, M. (2018). Statistical analysis handbook. The Winchelsea Press

More related papers Related Essay Examples
Cite This paper
You're welcome to use this sample in your assignment. Be sure to cite it correctly

Reference

IvyPanda. (2023, June 30). Correlation Analysis in the Study of Midwives' Retention Intentions. https://ivypanda.com/essays/correlation-analysis-in-the-study-of-midwives-retention-intentions/

Work Cited

"Correlation Analysis in the Study of Midwives' Retention Intentions." IvyPanda, 30 June 2023, ivypanda.com/essays/correlation-analysis-in-the-study-of-midwives-retention-intentions/.

References

IvyPanda. (2023) 'Correlation Analysis in the Study of Midwives' Retention Intentions'. 30 June.

References

IvyPanda. 2023. "Correlation Analysis in the Study of Midwives' Retention Intentions." June 30, 2023. https://ivypanda.com/essays/correlation-analysis-in-the-study-of-midwives-retention-intentions/.

1. IvyPanda. "Correlation Analysis in the Study of Midwives' Retention Intentions." June 30, 2023. https://ivypanda.com/essays/correlation-analysis-in-the-study-of-midwives-retention-intentions/.


Bibliography


IvyPanda. "Correlation Analysis in the Study of Midwives' Retention Intentions." June 30, 2023. https://ivypanda.com/essays/correlation-analysis-in-the-study-of-midwives-retention-intentions/.

If, for any reason, you believe that this content should not be published on our website, please request its removal.
Updated:
This academic paper example has been carefully picked, checked and refined by our editorial team.
No AI was involved: only quilified experts contributed.
You are free to use it for the following purposes:
  • To find inspiration for your paper and overcome writer’s block
  • As a source of information (ensure proper referencing)
  • As a template for you assignment
1 / 1