Not all studies are perfect, and therefore there are aspects that need to be improved to make this research more valid, reliable and accurate. These factors that need to be considered include internal and external validity. Internal validity is concerned with eliminating confounding variables with a study, whilst external validity refers to generalisation. (University of New England, 2000) Within this article, the external validity is compromised as the internal validity is heavily controlled. The participants were selectively chosen through criteria and all participants were mature aged men with osteoarthritis. This controlled selection, therefore, makes the study difficult to be generalised to the outer population, as the recruitment is specific. …show more content…
The experiment itself was also not conducted in a controlled environment as each participant was tested in different environments, which once again effects the internal validity of this study. Bias is also evident in this article, which consequently impacts the reliability of this research. The drug Meriva is mentioned more heavily than the drug chondroitin. The unsatisfactory amount of information on the drug chondroitin makes it difficult for readers to thoroughly to grasp the full understanding of the drug itself. The hypothesis and conclusion were not clearly evident or even stated within the research article and therefore, this consequently effects the validity and reliability. The procedure explained in the article was vague and contained little detail about how the method was
Almost a century has passed but Australia still identifies strongly with the Anzac legend' that emerged during the First World War. Entering the war as a small outpost of the British Empire, no one would have anticipated the courage and tenacity displayed by the Australian troops or the extent to which their war efforts would become the foundation of our national identity.
‘Maycomb County had recently been told that it had nothing to fear but fear itself’. This statement made by Scout at the beginning of Harper Lee’s To Kill a Mockingbird shows that Maycomb is a town in which the fear of change is rife. Lee’s choice of Maycomb as a setting, developed through narrative point of view and characterisation was vital to the text as it helped to develop the theme of prejudice and the consequences which result from the fixed attitudes of an insular town.
In addition, the computer-generated assignment and a variable-block randomisation method were also used. Although there is no specific mention of similarity of baseline among groups, in table 1, the 95% confidence intervals of subjects’ characteristics was no significant differences. Moreover, all subjects and staff involved in data interpretation were blinded although there were no specific comments of concealment of allocation. Unfortunately, therapists administered the intervention were not blinded. Although the average of completed follow-up rates was 80 % which was not statistically satisfying, considering the long-term period of intervention (18 months), the result of the rate seemed to be acceptable. Also, the average of drop-out rates on 6 months was only 13% and this was a persuasive rate when analysing the interval validity. Lastly, the outcome measures were clearly mentioned in the section of the Patients and Methods. Especially, the validity and procedures of primary measure, which was Western Ontario and McMaster Universities Osteoarthritis Index (WOMAC), were systemically described. The results of among four groups are also statistically compared. Therefore, this study seems to offer moderate to strong validity of evidence based on the well-organised design
| Based on explicit knowledge and this can be easy and fast to capture and analyse.Results can be generalised to larger populationsCan be repeated – therefore good test re-test reliability and validityStatistical analyses and interpretation are
Construct validity has to do with establishing correct operational measures for the concepts being studied (Yin 2009, p. 40). Yin (2009), writes that researchers can improve construct validity construct validity can be if multiple sources of data is employed (triangulation of data), establishing chain of evidence, and reviewing the report with their informants (p. 41). In making sure that one can draw a meaning and useful inferences from scores on particular instruments of data collection and to demonstrate the accuracy of their findings, Creswell (2013) also advice the use of member checking and triangulating data (p. 201). Quarm (2009) and Sarquah (2008) both used several data sources (interviews, documents, media, and internet) in
Validity pertains to both the methods and the design of a research study and indicates “the degree with which correct inferences can be made from the results of a research study” (Indiana University Of Pennsylvania, 2010). According to Trochim and Donnelly, there are four types of validity including conclusion, internal, construct, and external (2008). In this assignment, three of these types will be discussed. Internal validity is the extent to which a test measures what it claims to measure. External validity on the other hand, is the extent to which the results of a research study can be generalized to other groups, other times, and other settings. Construct validity demonstrates an association between results and the prediction of a
The total number of the study sample was 269 adults. The following criteria were used for selecting the study sample:
The authors provided information on the participants age and gender. However, there was a lack of information of race, ethnicity, and residential location. In addition, the authors specified the participants to be healthy based on the participant report. In order for the study to be reproduced similarly, there should be an understanding of what is considered “healthy” and how it was determined. For the procedure, there was explicit information on how it performed.
Internal Validity is the inexact truth about derivations with respect to cause-impact or causal connections. Along these lines, internal validity is just pertinent in studies that attempt to make a causal relationship. It 's not significant in most observational or descriptive studies. One of the things that is most hard to handle about internal validity is that it is just important to the particular study being referred to. That is, you can consider internal validity as a "zero generalizability" concern. All that internal validity means is that you have confirmed that what you did in the study created what you wanted to happen. It doesn 't let you know whether what you accomplished for the study was what you needed to do or whether what you happened was what you needed to happen.
Melnyk and Fineout-Overholt (2015) explain internal evidence is a nurse’s clinical expertise and patient information obtained from assessments, evaluation and review of treatment outcomes. External evidence is obtained from research articles and used as the basis for practice change (Melnyk & Fineout-Overholt, 2015).
External validity refers to the extent that the research can be generalized across social settings However, organizational cultures differ from each other, and the studies on other social settings will generate different results. According to me it is important for qualitative researchers to produce a thick description – that is, rich on detail of the culture being studied. This makes it easier for others to judge whether or not the research is transferrable to their case. It has been of great importance to thoroughly describe the background of the study and to include much information about the unit in the empirical chapter. This is done in order for the reader to get a clear picture of the organizational setting. However, the researcher of
This study was conducted in a reasonable manner and the limitations were clearly outlined by the author. However the results
The report goes on to say that in reaching a diagnosis ‘whereas the specialist relies heavily on scientific evidence to arrive at a precise explanation of an illness within a limited range of possibilities, the generalist (especially the GP) takes a far broader approach to arrive at one or more probabilities and decide whether or not action is needed’. The quality of clinical care in both settings is similar but the care is delivered in very different ways. (73-75) Therefore, educational interventions that aim to improve the management of musculoskeletal conditions by GPs need to be specifically designed and evaluated incorporating this generalist
Innovation is what makes technology companies thrived. The fact that technology is moving at a fast pace all tech companies always have to able to come up with the next big thing. Whether is the next big smart phone, laptop, or software that will allow the AT&T user to navigate at
Several topics of interest were intriguing to learn in Module one and most topics were straightforward and some were complex. All the information in this week’s module has many impertinent concepts for beginning, average, and advanced students who have research and statistics backgrounds. From all the topics and concepts of research and evaluating reports they were beneficial, straightforward, and thought-provoking. There are numerous topics from research problem, quantitative, qualitative, statistics, and sampling methods that will useful to health professionals now and in the future. The next section of this paper will mention of a possible research topic that will be a stepping-stone and guide for the comprehensive research project. This practice skill for the final project will serve to make the research process easier for the topic question. Lastly, the topic of research will be demonstrated by using the experimental or quasi-experimental method with variables as well as the correlational method. Throughout Module one’s readings a lot of the topics of research go-hand-go and more will be mentioned in further detail.