¶ … accumulates data in the form of numbers that can be assessed in an objective fashion, usually involving equations. It frequently takes the form of an experimental design. "Quantitative research gathers data in numerical form which can be put into categories, or in rank order, or measured in units of measurement. This type of data can be used to construct graphs and tables of raw data" (McLeod 2008). For example, a study of the efficacy of a program to prevent teenage suicide might compare the suicide rates of two demographically similar groups of teens: the experimental group that experienced the intervention and the control group that did not. However, not all quantitative assessment methods take the form of formal experiments and quantitative approaches can encompass surveys and other numerical data collection methods (Sakar n.d.). Quantitative research is most useful to gather information from a wide array of subjects...
The research question is established beforehand, usually following a literature review. Questions are relatively narrow, to better enable data comparison.
The use of databases as the system of record is a common step across all data mining definitions and is critically important in creating a standardized set of query commands and data models for use. To the extent a system of record in a data mining application is stable and scalable is the extent to which a data mining application will be able to deliver the critical relationship data,
In history, in most of the Indian families, the inheritance of the estates of the family is left to the lineage of males in the family. Though since the year 1956, the law in India has always treated females and males as equals in matters of inheritance where there is no legal will written. Currently, Indians have become wiser and are using legal wills for the inheritance and succession
It allows users to analyze data from many different dimensions or angles, categorize it, and summarize the relationships identified. Technically, data mining is the process of finding correlations or patterns among dozens of fields in large relational databases" (Palace, 1996). One common example of using data mining is that of store inventory, such as a Midwest grocery chain called Kroger that used the data mining capacity software to discover: "that
This analysis was deemed necessary as differences can exist on the basis of an overall group effect and not an individual variable (question) effect and visa versa. Male Mean Per Question Analysis x Department Source of Sum of d.f. Mean Variation Squares between error Required F. value: 4.21 ? < 0.05 Concluding Statement: With a received F. value of 1.04 and a required value of F = 4.21 the conclusion can be drawn that no statistically
adoption of a particular methodology affect the researcher's choice of methods for data collection and analysis? Two researchers can have the same essential subjects yet pursue completely different methodologies. For example, someone who is studying alcoholism from a qualitative perspective to collective narrative experiences of recovery may use interviews and open-ended questionnaires. The researcher will likely focus on a relatively small population group and proceed in an inductive fashion. Responses
Instead of pretending that racism and its effects no longer exist, we need to strengthen affirmative action and devise a new set of policies that directly tackle the racial gap in wealth." (Derrity, 1). That, in a nutshell, is the position of this paper. America has not given affirmative action enough time to act. Moving forward, we should continue our affirmative action policies, but with an end in mind. Economists
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