Assignment Quantitative Data Analysis
Introduction:
Data analysis is an attempt by the researcher to summarize collected data either quantitative or qualitative. Generally, quantitative analysis is simply a way of measuring things but more specifically it can be considered as a systematic approach to investigations. In this approach numerical data is collected or the researcher transforms collected or observed data into numerical data. It is ideal for finding out when and where, who and what and any relationships and patterns between variables. This is research which involves measuring or counting attributes (i.e. quantities). It can be defined as:
“The numerical representation and manipulation of observations for the purpose of describing and explaining the phenomena that those observations reflect is called quantitative analysis”
Quantitative analysis gives base to quantitative geography and considered as one of important parts of geographical research. As, subject matter of quantitative geography is comprehended by the following key issues:
Collection of empirical data
Analysis of numerical spatial data
Development of spatial methods for measurements, theories and hypothesis
Construction and testing of mathematical models of spatial theory
Concisely, all above mentioned activities develop understanding of spatial processes. Quantitative geography is not bound by deep-routed philosophical stance as its most obvious, efficient and reliable mean of obtaining knowledge. Thus, it might be labeled all quantitative researchers as positivist or naturalist (Graham, 1997).
Thus, its purpose is not to produce flawless data but rather is to maximize knowledge with minimum of error. Therefore, verification of quantitative research can be done by determining its significance in discipline.
Sources of quantitative data:
We can gather quantitative data in a variety of ways and from a number of different sources. Many of these are similar to sources of qualitative data, for example:
a) Questionnaires: these
Data analysis is an attempt by the researcher to summarize collected data either quantitative or qualitative. Generally, quantitative analysis is simply a way of measuring things but more specifically it can be considered as a systematic approach to investigations. In this approach numerical data is collected or the researcher transforms collected or observed data into numerical data. It is ideal for finding out when and where, who and what and any relationships and patterns between variables. This is research which involves measuring or counting attributes (i.e. quantities). It can be defined as:
“The numerical representation and manipulation of observations for the purpose of describing and explaining the phenomena that those observations reflect is called quantitative analysis”
Quantitative analysis gives base to quantitative geography and considered as one of important parts of geographical research. As, subject matter of quantitative geography is comprehended by the following key issues:
Collection of empirical data
Analysis of numerical spatial data
Development of spatial methods for measurements, theories and hypothesis
Construction and testing of mathematical models of spatial theory
Concisely, all above mentioned activities develop understanding of spatial processes. Quantitative geography is not bound by deep-routed philosophical stance as its most obvious, efficient and reliable mean of obtaining knowledge. Thus, it might be labeled all quantitative researchers as positivist or naturalist (Graham, 1997).
Thus, its purpose is not to produce flawless data but rather is to maximize knowledge with minimum of error. Therefore, verification of quantitative research can be done by determining its significance in discipline.
Sources of quantitative data:
We can gather quantitative data in a variety of ways and from a number of different sources. Many of these are similar to sources of qualitative data, for example:
a) Questionnaires: these