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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.
See Experimental psychology for many details. Field experiment; Focus group; Interview, can be structured or unstructured. Meta-analysis; Neuroimaging and other psychophysiological methods; Observational study, can be naturalistic (see natural experiment), participant or controlled. Program evaluation; Quasi-experiment; Self-report inventory
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.
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 ...
The aim of the PRISMA statement is to help authors improve the reporting of systematic reviews and meta-analyses. [3] PRISMA has mainly focused on systematic reviews and meta-analysis of randomized trials, but it can also be used as a basis for reporting reviews of other types of research (e.g., diagnostic studies, observational studies).
A systematic review focuses on a specific research question to identify, appraise, select, and synthesize all high-quality research evidence and arguments relevant to that question. A meta-analysis is typically a systematic review using statistical methods to effectively combine the data used on all selected studies to produce a more reliable ...
Examples of such works are scientific reviews and meta-analyses. These and related practices face various challenges and are a subject of metascience. Various issues with included or available studies such as, for example, heterogeneity of methods used may lead to faulty conclusions of the meta-analysis. [115]
A meta-study summarizes a large number of already published experimental or epidemiological studies and provides statistical analysis of their result. Review articles have increased in impact and relevance alongside the increase in the amount of research that needs to be synthesised. [3]