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Meta-analysis is a method of synthesis of quantitative data from multiple independent studies addressing a common research question. An important part of this method involves computing a combined effect size across all of the studies.
Metapsychology (Greek: meta 'beyond, transcending', and ψυχολογία 'psychology') [2] is that aspect of a psychological theory that discusses the terms that are essential to it, but leaves aside or transcends the phenomena that the theory deals with.
Metacognition and self directed learning. Metacognition is an awareness of one's thought processes and an understanding of the patterns behind them. The term comes from the root word meta, meaning "beyond", or "on top of". [1]
In 2018–2020, a research topic in the journal Frontiers in Psychology highlighted the growing experimental, clinical, and neuropsychological evidence base for MCT. [20] A recent network meta-analysis indicated that MCT (and cognitive processing therapy) might be superior to other psychological treatments for PTSD. [21]
A recent meta-analysis found significant improvements for positive symptoms and delusions, as well as the acceptance of the training. [7] These findings have been replicated in 2018 [8] and 2019. [9] An older meta-analysis based on a smaller number of studies found a small effect, [10] which reached significance when newer studies were ...
A meta-analysis is a statistical analysis that combines the results of multiple quantitative studies. Using statistical methods, results are combined to provide evidence from multiple studies. The two types of data generally used for meta-analysis in health research are individual participant data and aggregate data (such as odds ratios or ...
Qualitative psychological research findings are not arrived at by statistical or other quantitative procedures. Quantitative psychological research findings result from mathematical modeling and statistical estimation or statistical inference. The two types of research differ in the methods employed, rather than the topics they focus on.
The design of a study defines the study type (descriptive, correlational, semi-experimental, experimental, review, meta-analytic) and sub-type (e.g., descriptive-longitudinal case study), research problem, hypotheses, independent and dependent variables, experimental design, and, if applicable, data collection methods and a statistical analysis ...