Search results
Results From The WOW.Com Content Network
If the participants affirm the accuracy and completeness, then the study is said to have credibility. These member checks are not without fault, but serve to decrease the incidence of incorrect data and the incorrect interpretation of data. The overall goal of this process is to provide findings that are authentic, original and reliable.
Du Bois's Philadelphia research was pivotal in his reformulation of the concept of race. [4] He deduced that, "the Negro problem looked at in one way is but the old world questions of ignorance, poverty, crime, and the dislike of the stranger." He supported these claims with examples and survey analysis breakdowns throughout the journal.
A meta analysis essentially tells us the probability that the findings across the results of many studies are attributable to chance or to the independent variable. If an independent variable is found to have an effect in only one of 20 studies, the meta-analysis will tell you that that one study was an exception and that, on average, the ...
Tukey defined data analysis in 1961 as: "Procedures for analyzing data, techniques for interpreting the results of such procedures, ways of planning the gathering of data to make its analysis easier, more precise or more accurate, and all the machinery and results of (mathematical) statistics which apply to analyzing data."
[12] [13] This study or analysis involves uncovering assumptions and practices associated with the different methods and a detailed description of research designs and hypothesis testing. It also includes evaluative aspects: forms of data collection, measurement strategies, and ways to analyze data are compared and their advantages and ...
Descriptive science is a category of science that involves descriptive research; that is, observing, recording, describing, and classifying phenomena.Descriptive research is sometimes contrasted with hypothesis-driven research, which is focused on testing a particular hypothesis by means of experimentation.
Accurate analysis of data using standardized statistical methods in scientific studies is critical to determining the validity of empirical research. Statistical formulas such as regression, uncertainty coefficient, t-test, chi square, and various types of ANOVA (analyses of variance) are fundamental to forming logical, valid conclusions.
Data mining is a particular data analysis technique that focuses on statistical modeling and knowledge discovery for predictive rather than purely descriptive purposes, while business intelligence covers data analysis that relies heavily on aggregation, focusing mainly on business information. [4]