Humpty Dumpty domination on correlational data analysis in social welfare researches
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Abstract:
Introduction Identifying and correct errors is essential to science, so propose the maxim that science is self correcting. While the err is humain is accepted reflected in philosophy of science especially in giving rise to the maxim that scientific hypothesis must have the chance to falsify. In the current paper, the author point to errors in correlational studies, that occure because of misusing language. Critical Review of Refrences Critical Review of articles essentially in observational research conclude thirteen taxa in social welfare era. First some papers contain exploratory factor analysis claim hypothesis testing, while we must mention that only confirmatory analysis deserve to have hypothesis. If the items being loaded under one factor couldn’t distinguish with items under another factor, it is wrong to called them with different labell. The construct must be meaningful. Discussion Researchers use a varity of rationalizations to make sense of their meaningless researches that have no value for practitioners neither for practitioners nor for other researchers. Motivation to gather data in these research is only the needs of researchers not any other person in the world. These researchers think they are contributing to science as a great and noble enterprise. and satisfy their ambitions. Most correlational studies in social welfare investigated in this paper were utterly redundant.
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Journal title
volume 23 issue 88
pages 9- 55
publication date 2023-05
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