How to Read a Research Article: Part III

by David M. Bazett-Jones

This is the third part in a series about understanding research articles. See Part I here.

Method(s)

The method section of the research report should clearly explain how the study was conducted. However, for the layperson, this will be the most difficult section to read. The methods section may be divided into subsequent sub-headers, such as: participants (subjects), equipment, procedure(s), and data analysis.

Participants
This section is presented to give readers a basic overview of the participants and is typically done in terms of age, gender, height, weight and other demographic characteristics of value. Many times participant demographics are presented in the form of a table to enhance viewing. If a particular characteristic (e.g. disease of osteoporosis, status as an elite athlete) is required for inclusion in the study, those criteria for inclusion should be explained. It is preferred that groups of participants are not different (especially significantly) from each other; however, when comparing men and women, many of these differences are inherent.

Selection of participants is very important to the study; how participants are selected and how many are selected can have major impacts on the research quality. Terms like “randomly”, “counter-balanced”, and “cross-over” usually indicate a better research design. “Randomized” means that participants are a representative sample of the larger population and the other two terms show that the research design has controlled for uncontrollable differences in participants. The size of the sample also plays a role in the research quality. Generally, smaller samples provide less knowledge about the general population. While there are statistical analyses to correct for small sample sizes, it is generally thought that individual studies or groups within a study should be no smaller than 8-10 individuals.

In all likelihood, the participant sample will be comprised of individuals who the investigator has easy access too. This is typical of the university study that recruits students. However, the results from a research study are not as easily applied to the general population since the sample was not randomly selected from the general population. The reader should be weary of results that are generalized beyond the sample of the study.

Equipment
The equipment used to provide treatment or measure variables should be described in great detail. While most non-scientific readers will generally ignore this section, those interested in Whole Body Vibration (WBV) will want to be sure to see which vibration machine was used for training or treatment.

Procedure(s)
This section should explain, in detail, how the steps of the study were performed, the order in which they were performed, and how the data were collected. Readers who have a clear idea of how the research was conducted may also have a clear idea of how to apply the results or determine if they can accept the author’s conclusions. Readers should be satisfied the changes noted during the study are the result of the device(s) being studied and not the result of a sloppy procedure.

While this section is very important to researchers, it is another section that is often overlooked by laypeople. The items that non-scientists will want to take note of (specifically those interested in WBV) are specific exercises and vibration characteristics (frequency, amplitude, acceleration/g-force/magnitude/intensity, duration of exposure, number of reps, rest time etc).

Data Analysis
The data analysis section is typically filled with statistical language not understood unless the reader has taken a statistics course. The item that should be paid attention to though, is the p-value. A p-value (or alpha [a]) of 0.05 is most commonly used. This means that there is a 5% chance of error in the results (i.e. the results happened by chance). Whereas, use of a p-value of 0.10 means that there is a greater chance of an error and the use of p=0.01 indicates only 1% error. Most studies will indicate whether or not their results were equal to or less than a certain p-value.

Results

The results section should be solely the results of the data analysis, absent of commentary about those results. This section will typically indicate if a measure was statistically significant (i.e. their results were less than their selected p-value). This is very important; however, some results may statistically significant but not practically or clinically significant.

For example, an increase in vertical jump height of 2 mm is not very practically significant, especially if it is over a long period of time. While there are much more detailed items that could be scrutinized in this section, these are the most important to those without an advanced knowledge of statistics. Non-scientific readers should concentrate on the tables and graphs instead of the statistical jargon in writing. This will help the reader understand the results of the study better without getting lost in the language.

Discussion

In the discussion, the author should cite the main findings if the study and whether or not those findings accepted or rejected the hypothesis. Discussions of the reasons for the results should be extensive and discussion in this section should be tied to the introduction. While reviewing this section, readers should think back to the logic of the arguments presented and consider the issues related to the original problem. Has the author discussed broader implications of their findings? Readers should use this section to able to judge the knowledge and insight of the investigator.

Readers also should be wary of unsupported discussion and conclusions based on insignificant results (e.g. stating that if more data were collected, the results would become significant). Drawing conclusions from future experiments is fraught with suspicious bias. Most research is not of a dramatic, profound, profession-changing nature and usually creates more questions than it answers. Readers must judge if the researcher has conducted fair and objective research.

Since all research has limitations, these should be discussed. Limitations of the study may be presented as an independent section, but are many times also discussed throughout the text of the discussion section. A quality study is always presented with its limitations whether or not they are inherent in the design or procedures.

Lastly, the author should provide a basis on which to apply future research and directions that are important for future research to pursue.

Conclusion

The conclusion section of a research article contains a brief restatement of the experimental results and describes the implications of the study. The conclusions should not be taken outside of the context of the study. Most research studies are very specific in what they are looking at, so application to large-picture ideas is difficult. Remember that the reader’s understanding of the conclusions should be related to the study design, results, and discussion. An attempt to be a neutral reader should be made so that preconceived notions have limited affect on interpretation.

Happy Reading!

References

1. Lunsford, T.R. and Lunsford, B.R. (1996) Research Forum—How to Critically Read a Journal Research Article. Journal of Prosthetics & Orthotics 8(1):24-31 (Accessed at http://www.oandp.org/jpo/library/1996_01_024.asp).

2. Accessed at http://unilearning.uow.edu.au/reading/1d.html.

3. Accessed at http://www.brockport.edu/sociology/journal.html.

Categories: Research
Written by David M. Bazett-Jones on August 29th, 2007

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Before asking an unrelated question - take a look at the Beginner's Guide to WBV.