Results
This section describes some of the different weighting methods for combining effect sizes across studies when conducting meta-analysis. This section will focus on methods used for binary outcome data and effect measures such as relative risks and odds ratios. The section will first introduce fixed effect and random effects analyses. It will then describe weighting methods that can be used for these analytic approaches.
Fixed effect versus random effects analyses
Fixed effect and random effects models are the two most common approaches used when conducting a meta-analysis (Borenstein, Hedges, Higgins, & Rothstein, 2010). The distinction between these approaches is both conceptual and statistical in nature. The fixed-effect model
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Although both fixed-effect and random-effects models will generally give more weight to larger studies with lower variance estimates, the weights will be relatively more balanced with a random-effects model because it assumes that each of the effect sizes in the analysis are estimating a different ‘true’ effect (Borenstein, Hedges, & Rothstein, 2007). Thus, random-effects models will give more weight to smaller studies with higher variance estimates compared to fixed-effect models.
In contrast, the weights for a fixed-effect model will be more extreme than those of a random-effects model because it is assumed that the ‘best’ estimate of the effect size will be from the largest study with the lowest variance (Borenstein et al., 2007). Consequently, compared to a random-effects model, the pooled or summary effect for a fixed-effect model will be closer to the effect obtained from the largest study with the lowest variance. With respect to the variance estimates of the pooled or summary effect, random-effects model will result in higher variances than fixed-effect models because of the added between-study variability assumed to be present.
The assumptions in a fixed-effect analysis may only be appropriate in a limited number of situations. For example, if studies included in a meta-analysis were conducted using a similar methodology by recruiting participants in a similar manner and
The current review was managed according to the Preferred Reporting Items for Systematic reviews and Meta-Analyses (PRISMA) guidelines (Moher et al., 2009) and established guidelines for narrative synthesis by Popay et al. (2006).
Meta analyses, such as ‘Current evidence on risk factors for knee osteoarthritis in older adults: a systematic review and meta-analysis’, often summarised the data of 50+ clinical trials which meant the time that would have been spent researching multiple articles was more beneficially used in other research processes, ultimately streamlining the research. The complexity of the language and medical concepts in the journal articles often limited the accessibility of the ideas presented. Typically, websites proved to be not very useful as medical concepts were oversimplified. However, certain medical practices’ websites including Pain Spa UK provided valuable inside perspectives on certain procedures, whilst others were useful for obtaining relevant statistics and providing basic preliminary understanding of certain medical information.
There are some limitations to this literature review. One limitation is some of these studies may be outdated being that they are from the 1990s (i.e: Dulit et. al, 1990; Miller et. al, 1993; and Dougherty et. al, 1999). Another limitation is some of the studies were not randomized samples (i.e: Miller et. al, 1993 and Tragesser et. al, 2013). If samples are not random this could mean the results are bias.
Systematic reviews allow researchers to to determine the best research evidence to address a health care situation. In disease management and casemanagement specialities, the clincial guidelines for managing chronic health conditions are developed from Systemic reviews ( Groves, et al., 2013). Meta- analysis involves the use of results from previous studies; it involves quasi-experimental and experimental studies and stastical analysis are applied to provide the most desired evidence for an intervention, whiles Meta synthesis uses qualitative studies which main focus is interpretation of a specific study for use as evidenced research (Groves, et al., 2013). Lasty, mixed methods systematic review involves the utilization of independent studies which are conducted through narrative and invloves both quantitative and qualitative methods(Groves, et al.,
the principle objective of this meta-analysis changed to decide the short-term and lengthy-time period impact of both preventive and
To conduct Meta-analysis, researchers define the empirical question(s) that are the focus of the review and identify the variables and conditions to be considered. Then, researchers define the independent and dependent variables. To collect the relevant studies, researchers include criteria for the studies and code it to guide the searching process. When the studies are coded, researchers can calculate the effect size, which will help them conduct comparisons and calculate the overall effect
The evidence within the study is completely unbiased and so the research is more reliable. The reason for the research being unbiased is because the ladies participating were not allowed to discuss what they were doing for an entire year and it was all anonymous and so there was no way for the individual 's conducting the study to be persuaded by the participants and vice versa. Another important element is that the participants could not influence other participants as well due to the fact that no one knew who else was involved in the study (Ackard, D. M., & Peterson, C. B., 2001). The outcomes were large and diverse which is another element in which it could be seen that this was unbiased and true. The size of the sample was quite large as well; study one had 267 participants and study two had 222 participants which aids in being able to get a stronger truth to the study and allows the study to be more reliable (Ackard, D. M., & Peterson, C. B., 2001). Finally, the instruments used to gather their data was clear and concise. It was evident that they did not leave any factors up for chance, they went into extreme detail.
with significant results possibly being a side effect of large sample sizes. Further there were
When looking at individual-based studies, one is looking at a smaller group of individuals and determining if they reach a specific outcome based on being exposed to a risk factor. With this information, an inference is made about the general population to determine if the stated exposure affects their chances on having the expected outcome that is discussed in the study. Since it is not a true representation of the population however, an investigator runs the risk of not having an accurate representation of the data in terms of the general population.
Meta-analysis has been much debated and criticized since its creation, and it has been argued that systematic reviews are superior. The present study examined the reverse idea – that meta-analysis is the superior method. A literature search was conducted of meta-analysis studies for psychotherapy within the PsycINFO database. The resulting studies were further examined and classified as either primary articles or secondary articles. Primary articles were further examined for secondary articles associated with them. It was found that there was some criticism within the literature. The results were compared to a study of systematic review literature conducted at the same time. The
As a result, there were 73% of the referenced articles included in the literature review published within ten years. There was a systematic meta-review and several other independent studies included. There were twelve articles referenced that had greater than ten years noted. However, many of these articles were the original research.
Cullen and Gendreau compare and contrast the many studies on this subject, the meta-analyses conclusions, their strengths, weaknesses, inconsistencies, and the trends that follow the studies
These studies only included undergraduate students, therefore consisting mainly of young adults. This raises questions on whether results can be generalised to those in all age groups.
Both IPD and APD meta-investigations are viewed as valuable for outlining the aftereffects of various individual examinations that are each too little to give substantial outcomes.Combined investigations of APD is adroitly the same as meta-examinations of independent analysis form on IPD including assessing study- calculating treatment impacts, surveying heterogeneity, evaluating the size and the impact of the heterogeneity.
All in all, the results displayed by the analysis of each study correspond to the overall effort of the posed research. For example, supported results aligned with study hypotheses, but signified that certain mechanisms underlie the criterion for each of the tested variables on different levels according to Ashkanasy, Falkus, and Callan (2000). Whereas, Beeri et al., (2013)