DATA ANALYSIS CRITIQUE 4
Studentsoften find it hard to criticize research articles especially for thefirst time. This is more so in the data analysis sections thatrequires in depth review and critical thinking. Students may facechallenges when criticizing the data analysis section because itrequires a thorough analysis of the whole research paper startingfrom the topic and the research problem. Usually, data analysisshould be consistent with the research objectives. In other words, itshould be able to answer the research questions. Students find itdifficult to link what is presented in the research question andobjectives with the data analysis (LoBiondo-Wood& Haber, 2013).
Itis prudent for students to identify whether there weregeneralizations and limitations in data analysis. Further, there isneed to identify whether the results are supported by literaturereview. Students often face challenges when trying to link literaturereview with the results. To critically criticize the results,students need to read the entire document and understand what itentails. Although unexpected results may appear in the results, theresearch questions must be answered. The greatest challenge comeswhen students try to link the questions to the data analysis. Manytend to think that the results are accurately presented and thatthere is nothing to criticize.
Theother main concept to consider with reference to data analysiscritique is identifying whether data collection and analysisstrategies are well described. The researcher should be able tofollow these steps to achieve good results. As such, when studentscriticize data analysis, they should be able to identify whether thestrategies are adequate for data collection and analysis (Polit& Beck, 2008). Inmany occasions, students find this section challenging because italso requires critical thinking. This is more common among studentswho have not read many research articles.
Sometimesstudents tend to think that all research articles are well analyzedand that there is nothing to criticize. However, this is not true.Many research articles have their weaknesses and strengths. Even so,some students may sometimes ask themselves why they need to criticizeor attack a research paper. Others wonder whether their opinionswould matter or count. The truth is that critique equips studentswith skills for conducting their own research. It helps them toidentify common mistakes that researchers make in their study.
Forstudents to understand the criticism in data analysis, they need tobe familiar with standards of scientific research. Reading as manyresearch articles as possible and trying to use critical thinking tocriticize research articles is essential. As such, it is prudent toencourage students to read as many articles. They may be encouragedto read these articles by explaining to them their importance inresearch. They should be made aware that reading research articlesequips them with essential skills for conducting their own research.Data analysis section is a critical area in research as it strives toanswer the questions posed earlier in the research paper (Houser,2008).
Itis crucial for a facilitator to encourage students to evaluate thejudgment of the results presented in a research paper. Thefacilitator should come up with many articles and ask the students tocriticize them especially in the data analysis section, which provesto be most challenging. The facilitator should ask each student topresent a critique of the articles in the class. Likewise, studentsmay hold discussions to critically evaluate data analysis. This islikely to yield a greater understanding on the critique of dataanalysis.
Houser,J. (2008). Nursingresearch: Reading, using, and creating evidence.Sudbury, Mass: Jones and Bartlett Publishers.
LoBiondo-Wood,G., & Haber, J. (Eds.). (2013). Nursingresearch: Methods and critical appraisal for evidence-based practice.Elsevier Health Sciences.
Polit,D. F., & Beck, C. T. (2008). Nursingresearch: Generating and assessing evidence for nursing practice.Lippincott Williams & Wilkins.