Results 231 to 240 of about 7,422,915 (294)
Some of the next articles are maybe not open access.
2021
This chapter discusses the analysis of data in quantitative research and the most common strategies to follow. Undergraduate students in most programmes may not necessarily need to use advanced statistical analysis. This chapter takes the readers through parametric and non-parametric tests.
+4 more sources
This chapter discusses the analysis of data in quantitative research and the most common strategies to follow. Undergraduate students in most programmes may not necessarily need to use advanced statistical analysis. This chapter takes the readers through parametric and non-parametric tests.
+4 more sources
Proceedings of the 1975 ACM SIGMOD international conference on Management of data - SIGMOD '75, 1975
Quantitative descriptions of data populations have played an important role in the data base design process, particularly where simulation has been employed. The new levels of fidelity and representation-independence made possible by recent advances in data description languages warrant a renewed interest in this technique.
L. S. Schneider, C. R. Spath
openaire +1 more source
Quantitative descriptions of data populations have played an important role in the data base design process, particularly where simulation has been employed. The new levels of fidelity and representation-independence made possible by recent advances in data description languages warrant a renewed interest in this technique.
L. S. Schneider, C. R. Spath
openaire +1 more source
2022
Abstract Many people tend to privilege evidence generated from quantitative research over, for example, qualitative research. Politicians and the public often demand “hard evidence” to support decisions. The descriptor ‘hard” often implies evidence generated by quantitative research. Although quantitative research and methods can provide
Linnea L. Rademaker, Elena Y. Polush
openaire +1 more source
Abstract Many people tend to privilege evidence generated from quantitative research over, for example, qualitative research. Politicians and the public often demand “hard evidence” to support decisions. The descriptor ‘hard” often implies evidence generated by quantitative research. Although quantitative research and methods can provide
Linnea L. Rademaker, Elena Y. Polush
openaire +1 more source
Quantitative Data in Neuroanatomy
1970Publisher Summary This chapter describes the importance of quantitative methods in neuroanatomy, outlines the history and basis of modern methods, and discusses the methods to avoid errors and use of various instrumentsThe three integral methods are: the measurement of volume ratio by point sampling, the measurement of surface per volume, and of ...
openaire +2 more sources
Representing Quantitative Data
2020In Chapter 2, we learned about four basic analytical data types. Quantitative data – interval and ratio – are among the most common types and are often the most problematic due to the great variety of measurement units and size ranges. Units vary by knowledge domain, usage conventions, national and historical origins, and formal or organizational ...
openaire +1 more source
2018
When considering quantitative analysis in health research, there are a number of key, fundamental initial aspects that need to be considered. Therefore, this chapter describes the importance of study design, development of your hypotheses, the nature of the data to be collected and the initial summaries, the need and importance of basic descriptive ...
R.C. Richard Davison, Paul M. Smith
openaire +1 more source
When considering quantitative analysis in health research, there are a number of key, fundamental initial aspects that need to be considered. Therefore, this chapter describes the importance of study design, development of your hypotheses, the nature of the data to be collected and the initial summaries, the need and importance of basic descriptive ...
R.C. Richard Davison, Paul M. Smith
openaire +1 more source
Data Presentation — Quantitative Data
1991In Chapter 2 we discussed various ways (several graphical and one tabular) of presenting qualitative data. In all the example we considered, the data arose from a nominal measuring scale. Although nominal (i.e. qualitative) data often occurs in business and economics, more common is quantitative data, arising from the use of ordinal and interval/ratio ...
openaire +1 more source
WIREs Computational Statistics, 2014
AbstractBiplots provide visualizations of two things, usually, but not necessarily, in two dimensions. This paper deals exclusively with biplots for quantitative data X; qualitative data or data in the form of counts will be addressed in a subsequent paper.
Gower, John C. +2 more
openaire +1 more source
AbstractBiplots provide visualizations of two things, usually, but not necessarily, in two dimensions. This paper deals exclusively with biplots for quantitative data X; qualitative data or data in the form of counts will be addressed in a subsequent paper.
Gower, John C. +2 more
openaire +1 more source
Interpreting Quantitative Data
Journal of the American Statistical Association, 2003(2003). Interpreting Quantitative Data. Journal of the American Statistical Association: Vol. 98, No. 462, pp. 492-492.
openaire +1 more source

