Homeopathic Therapy Survey
Homeopathic therapy can be an alternative or an adjunct to current medical treatment of both acute and chronic diseases and medical processes. Most patients who try homeopathic therapy subjectively state the methods displayed efficacy (Pomposelli et al., 2016). However, unless providers are specifically trained in homeopathic methods, this genre of healthcare can be overlooked. More knowledge was desired of current medical providers’ thoughts on homeopathic medicine, therefore a survey to ascertain this information was created. The purpose of this paper is to explain the electronic survey purpose, explain the procedure for protecting survey participants, perform statistical analysis using SPSS, provide a breakdown …show more content…
Data integrity is the maintenance of, and the assurance of the accuracy and consistency of data (McDowall, & Ratcliff, 2016). To ensure the security of the data, the analysis data was kept on a removable flash drive only, and within the Survey Monkey website. The data was only shared with the course instructor upon request. Data integrity is crucial to maintaining reliability for future survey success.
Statistical Analysis
Descriptive statistical analyses were performed on the eight questions from the survey. Each question was analyzed for a mean and a pie graph was created. Several questions had multiple answers available for choosing and created patterns in relation to the data obtained. The data from the statistical analysis is too numerous to include in the main section of the paper but is available for review (See Appendix).
Breakdown of …show more content…
The expected results were low confidence and low knowledge in regards to homeopathic therapy. Creating an extended survey with a sizeable pooling base would be ideal. The current results could be skewed as the respondents were medical personnel who may have had a preconceived notion in regards to non-traditional medical treatment means. It would be interesting to discern the general populations’ feelings toward homeopathic therapy, and if those results would isolate different trends in data. The only missing date was a response from a single individual. According to the class list, there are 24 potential respondents, but the survey results only had 23 responses, with no identifiable reason for the missing response.
Conclusion
Surveys are a fantastic method to determine thoughts and feelings on a topic. However, once that information is obtained, it is of little use unless statistical analysis can be performed. Itemizing the data results can identify trends, relationships, bias and hard percentages. Biases found can determine the need to pool a larger base of participants to obtain more usable data. The trends and relationships identified can further isolate specific improvement needs and become foundational in creating improvement plans or
Homeopathic therapy can be an alternative or an adjunct to current medical treatment of both acute and chronic diseases and medical processes. Most patients who try homeopathic therapy subjectively state the methods displayed efficacy (Pomposelli et al., 2016). However, unless providers are specifically trained in homeopathic methods, this genre of healthcare can be overlooked. More knowledge was desired of current medical providers’ thoughts on homeopathic medicine, therefore a survey to ascertain this information was created. The purpose of this paper is to explain the electronic survey purpose, explain the procedure for protecting survey participants, perform statistical analysis using SPSS, provide a breakdown …show more content…
Data integrity is the maintenance of, and the assurance of the accuracy and consistency of data (McDowall, & Ratcliff, 2016). To ensure the security of the data, the analysis data was kept on a removable flash drive only, and within the Survey Monkey website. The data was only shared with the course instructor upon request. Data integrity is crucial to maintaining reliability for future survey success.
Statistical Analysis
Descriptive statistical analyses were performed on the eight questions from the survey. Each question was analyzed for a mean and a pie graph was created. Several questions had multiple answers available for choosing and created patterns in relation to the data obtained. The data from the statistical analysis is too numerous to include in the main section of the paper but is available for review (See Appendix).
Breakdown of …show more content…
The expected results were low confidence and low knowledge in regards to homeopathic therapy. Creating an extended survey with a sizeable pooling base would be ideal. The current results could be skewed as the respondents were medical personnel who may have had a preconceived notion in regards to non-traditional medical treatment means. It would be interesting to discern the general populations’ feelings toward homeopathic therapy, and if those results would isolate different trends in data. The only missing date was a response from a single individual. According to the class list, there are 24 potential respondents, but the survey results only had 23 responses, with no identifiable reason for the missing response.
Conclusion
Surveys are a fantastic method to determine thoughts and feelings on a topic. However, once that information is obtained, it is of little use unless statistical analysis can be performed. Itemizing the data results can identify trends, relationships, bias and hard percentages. Biases found can determine the need to pool a larger base of participants to obtain more usable data. The trends and relationships identified can further isolate specific improvement needs and become foundational in creating improvement plans or