Bmc Medical Research Methodology Answers Assessment Answer

Methods for the data collection & Analysis

">The best way for the analysis of the data are the survey of the population or the different forms of the experimental procedures. Through this, there is a possibility to record the data on the datasheets and then store it. (Fan, 2010). There is a possibility to use the software and the training methods like the SPSS software for the different patterns and the arrangements of the data analysis.

Type of data

The quantitative data is based on the qualitative judgements. There is a need to measure the self-esteem scale in the social research, where the researchers need to develop the instruments for the countless judgments for proper construction. The researchers decide on the use of the scale to make the set of the judgements. The data used for them are:

1. The discrete data which is precise in the maximum way with integers.

2. The continuous data can be divided and then reduced to much fine levels. The measurement is based on handling the heights on a much precise scale.

Strengths and Weakness

The major strength is to provide the data which is only descriptive. This helps in providing the patterns where the data is in the numeric form and can be applied to the statistical tests for the setting of the data. There is inclusion of the mean, median and the standard deviation which include the tests of ANOVA, t-tests. (Saunders, 2012).
The major weakness of the same is that in the data absence. It would be important to check and approve the job with the other liabilities. In this, it is possible to manipulate the value of p which has enough power to determine the accurate results.

Generalizability in Quantitative research & its alignment

This is considered to be the act of the reasoning which involves the draw of the broader inferences which are through the particular observation. (Cotrell et al., 2015). The major goal is to mainly to provide a rich and a more contextualised understanding through the intensive study. With this, there have been improvement in the practice which are held at a higher esteem with the merits to claim the attention by the researchers. The models of the generalisation are the statistical, analytical and the transferability generalisation.

This is aligned to the quantitative methods as this helps in covering the issues like the planned replication with the different sampling strategies and the strategic review, reflexivity and a high order conceptualisation. (Noble et al., 2015). There has been a thick description with the mixed methods research and the Re-Aim framework.

Level of measurement

For a better handling of the information, with the assigned variable values, there are nominal, ordinal, interval and the ratio which are for handling the level of measurement. This works on the description which is based on handling the research activities through a proper classification process. (Faithfull et al., 2015). The qualitative scales and the measures which are made on the data will help in making the usage of the data effective with the mathematical operations.

Recommendation

With the research, the major focus has bene on concerned with the discovering facts where the data is collected through the numerical comparisons and the statistical analysis. For a better data results, there is a need to analyse and research the topic effectively so that it is easy to bring out the results from it.

Conclusion

In the research of quantitative data, there have been input for the numerical data which is in the ranking order to measure the different units with the concern to handle the observations and the other questionnaires. (Collis, 2013). This will help in handling the rating scale of the closed questions as well as the pattern of the open ended questions which will be generating the qualitative information with the descriptive response.

Reference

Fan, W. & Yan, Z. (2010) ‘Factors affecting response rates of the web survey: A systematic review’.Computers in Human Behavior, 26(2), pp.132-139. 

Saunders, M., Lewis, P. & Thornhill, A. (2012) Research Methods for Business Students, 6th ed. Pearson Learning Solutions. 

Collis, J. & Hussey, R. (2013) Business Research: A Practical Guide for Undergraduate and Postgraduate Students. 4th ed. London: Palgrave-MacMillan. 

Cottrell, E., Roddy, E., Rathod, T., Thomas, E., Porcheret, M., & Foster, N. E. (2015). Maximising response from GPs to questionnaire surveys: do length or incentives make a difference?. BMC medical research methodology, 15(1), 1.

Noble, H., & Smith, J. (2015). Issues of validity and reliability in qualitative research. Evidence Based Nursing, 18(2), 34-35.

Faithfull, S., Lemanska, A., & Chen, T. (2015). Patient-reported outcome measures in radiotherapy: clinical advances and research opportunities in measurement for survivorship. Clinical Oncology, 27(11), 679-685.