List of research paper meta information sites?

How do I find meta-analysis papers?

Scroll down to the Publication Type box. Within the Publication Type box, scroll down and click on Meta Analysis to select it. Click the Search button at the top of the page to run your search.

What is a meta research paper?

Meta-research is the study of research itself: its methods, reporting, reproducibility, evaluation, and incentives. Given that science is the key driver of human progress, improving the efficiency of scientific investigation and yielding more credible and more useful research results can translate to major benefits.

What is an example of meta-analysis?

For example, if there are two groups of patients experiencing different treatment effects studies in two RCTs reporting conflicting results, the meta-analytic average is representative of neither group, similarly to averaging the weight of apples and oranges, which is neither accurate for apples nor oranges.

How do you know if a study is a meta-analysis?

Meta-analysis refers to the statistical analysis of the data from independent primary studies focused on the same question, which aims to generate a quantitative estimate of the studied phenomenon, for example, the effectiveness of the intervention (Gopalakrishnan and Ganeshkumar, 2013).

Where can I find research paper reviews?

How do I Find Review Articles?

  • Web of Science. Start with a search in Web of Science. …
  • PubMed. After your initial search in PubMed, look for the “Articles Types” filter on the left side of the page. …
  • UCLA Library Journal Search. …
  • Google Scholar and ArticlesPlus.


How do I find a research paper?

How to find papers when you do your literature review

  1. Ask your supervisor where to start. …
  2. Read up on the basics in a textbook. …
  3. References from the research proposal. …
  4. Find a good review paper on your topic. …
  5. Look for technical reports, theses, code documents etc. …
  6. Google Scholar. …
  7. Scopus. …
  8. ResearchGate.

How many studies should be included in a meta-analysis?

Two studies

Two studies is a sufficient number to perform a meta-analysis, provided that those two studies can be meaningfully pooled and provided their results are sufficiently ‘similar’.

What is meta-analysis in qualitative research?

Qualitative meta-analysis is an attempt to conduct a rigorous secondary qualitative analysis of primary qualitative findings. Its purpose*to provide a more comprehensive description of a phenomenon and an assessment of the influence of the method of investigation on findings*is discussed.

What data is needed for a meta-analysis?

The two summary statistics commonly used for meta-analysis of continuous data are the mean difference (MD) and the standardized mean difference (SMD). Other options are available, such as the ratio of means (see Chapter 6, Section 6.5.

What are systematic reviews and meta Analyses?

A systematic review answers a defined research question by collecting and summarizing all empirical evidence that fits pre-specified eligibility criteria. A meta-analysis is the use of statistical methods to summarize the results of these studies.

What is meta-analysis in quantitative research?

Meta-analysis is a quantitative, formal, epidemiological study design used to systematically assess the results of previous research to derive conclusions about that body of research. Typically, but not necessarily, the study is based on randomized, controlled clinical trials.

Can you do a meta-analysis without a systematic review?

A meta-analysis is a statistical procedure for combining numerical data from multiple separate studies. A meta-analysis should only ever be conducted in the context of a systematic review.

Which is better meta-analysis or systematic review?


And using a very systematic process to summarize the findings. Into one research paper they will put together a systematic. Review then let's get to what is a meta-analysis. The research group who

How do I create a meta-analysis sheet in Excel?

So we have a publication one publication two publication three. And then each one of these effect sizes d effect sizes we have a variance. And this column is absolutely crucial to do meta-analysis.

What is meta-analysis PDF?

Meta-analysis is a quantitative technique that uses specific measures (e.g., an effect size) to indicate the strength of variable relationships for the studies included in the analysis. The technique emphasizes results across multiple studies as opposed to results from a single investigation.

How do you write a meta-analysis for a literature review?

Here’s the process flow usually followed in a typical systematic review/meta-analysis:

  1. Develop a research question.
  2. Define inclusion and exclusion criteria.
  3. Locate studies.
  4. Select studies.
  5. Assess study quality.
  6. Extract data.
  7. Conduct a critical appraisal of the selected studies.
  8. Step 8: Synthesize data.

How do you do a meta-analysis in SPSS?

  1. Start up SPSS, open the dataset Else-Quest_et_al_2006.sav, and perform the basic meta-analysis described in Example 1 to create an intermediate file required by R.
  2. Start up R and on the top menu bar click File | Open Document, go to the Meta-Analysis folder, and select the file Pub_Bias_d.R.
  3. How do you perform a meta-analysis basic tutorial?

    So a meta analysis is the study of studies. Now individual studies can be based on small sample sizes with potentially more biased estimates of effects a meta-analysis works to homogenize.

    Can SPSS run meta-analysis?

    SPSS can be used to make a meta-analysis but is not the most appropriate software for this task. There are software created for this specific purpose. I agree with Patrice Rasmussen SAS is best suited for meta-analysis. STATA can be a good alternative to SAS for meta-analysis.

    When would researchers choose to conduct a meta-analysis?

    If we are working with a fixed-effect model, then it makes sense to perform a meta- analysis as soon as we have two studies, since a summary based on two or more studies yields a more precise estimate of the true effect than either study alone.

    What is a forest plot in a meta-analysis?

    A forest plot, also known as a blobbogram, is a graphical display of estimated results from a number of scientific studies addressing the same question, along with the overall results.

    What does the diamond mean on a forest plot?

    The diamond at the bottom of the forest plot shows the result when all the individual studies are combined together and averaged. The horizontal points of the diamond are the limits of the 95% confidence intervals and are subject to the same interpretation as any of the other individual studies on the plot.

    What is at risk when the GREY literature is excluded from a meta-analysis?

    Conclusions: Meta-analyses that exclude grey literature likely (a) over-represent studies with statistically significant findings, (b) inflate effect size estimates, and (c) provide less precise effect size estimates than meta-analyses including grey literature.

    What is heterogeneity in meta-analysis?

    Heterogeneity in meta-analysis refers to the variation in study outcomes between studies. StatsDirect calls statistics for measuring heterogentiy in meta-analysis ‘non-combinability’ statistics in order to help the user to interpret the results.

    What does I2 mean in meta-analysis?

    Abstract. Researchers often use the I2 index to quantify the dispersion of effect sizes in a meta-analysis. Some suggest that I2 values of 25%, 50%, and 75%, correspond to small, moderate, and large amounts of heterogeneity. In fact though, I2 is a not a measure of absolute heterogeneity.

    What is a good heterogeneity score?

    A rough guide to interpretation is as follows: 0% to 40%: might not be important; 30% to 60%: may represent moderate heterogeneity*; 50% to 90%: may represent substantial heterogeneity*;