Quantitative methods are advantageous because they allow researchers to conduct a broad survey, which involves many subjects and generalization of findings. They also yield accurate results. On the other hand, quantitative methods are rigid and provide less detail on the motivation, attitudes and behavior of study subjects.Continue Reading
Quantitative methods are standardized, making them effective in comparing research findings with similar studies. Additionally, they allow researchers to summarize vast sources of data. Quantitative methods are reliable and valid because they employ prescribed procedures. They also eliminate bias in a study because they involve many cases and few variables, which prevent researchers from using subjects known to them. Quantitative methods enable researchers to correlate independent and dependent variables in order to determine causality within a study framework. Furthermore, these methods allow researchers to control the data collection environment so that extraneous variables are not introduced into a study.
On the other hand, the University of Southern California notes that the use of standardized questions in quantitative research may cause structural bias. In fact, research findings may reflect the view of the researcher rather than those of the respondent. The findings of quantitative research methods are numerical and therefore lack a detailed narrative of human perception. The respondents may also provide answers that reflect their preconceived hypotheses. About.com notes that the generation and testing of hypotheses in quantitative research methods can be subjective and misleading. Structured instruments such as questionnaires are used to gather quantitative data.Learn more about Statistics
Inferential statistics is a branch of statistics that can be used when researchers and mathematicians want to attempt to extrapolate on and reach conclusions that extend beyond the raw data itself. While a study only uses a small sample of the total population it is studying, inferential statistics can be used to attempt to estimate traits and thought patterns of behavior among the population as a whole.Full Answer >
Judgment sampling is a method in statistics and quantitative research for non-randomly selecting subjects for study from a population by selecting according to the opinion of an expert. It is a biased method that is useful when some members of a population make better subjects than others. The nature of judgment sampling makes data derived by this method harder to generalize and prone to an increased chance of misrepresentation.Full Answer >
The univariate approach to the analysis of variance typically starts with the arrangement of data in a table where the columns represent the different treatments and the rows represent the subjects. The analysis of variance using this approach is based on the assumption that the data in any particular group has the same mean. Another assumption is that data from the different groups have a similar variance.Full Answer >
Statistics allow people to analyze surveys, experiments and other data, but they are easy to misrepresent or to use to mislead others. Statistical data is essential to the scientific method. It also helps companies, governments and other entities make decisions.Full Answer >