Any type of analysis that deals with numeric data (numbers) is quantitative analysis.
Qualitative analysis, on the other hand, does not have numeric data ( for example, classify people according to religion).
quantitative data is the characteristics obtained from an experiment usually the best way to collect quantitative data is to observe your subject.
The length of a movie is quantitative data.
Quantitative data is quantity - how much. Qualitative data is quality - is it good? what is it like?
qualitative
No, SPSS (Statistical Package for the Social Sciences) is not limited to qualitative data analysis only. In fact, SPSS is primarily designed for quantitative data analysis, which involves analyzing numerical data using statistical techniques. It is widely used in fields such as social sciences, psychology, economics, and market research. SPSS provides a range of features and tools for SPSS quantitative data analysis, including: Descriptive statistics: SPSS allows you to calculate and summarize descriptive statistics such as means, standard deviations, frequencies, and percentages. These statistics provide an overview of the distribution and characteristics of your data. Inferential statistics: SPSS offers a variety of statistical tests for making inferences about populations based on sample data. These tests include t-tests, ANOVA (Analysis of Variance), chi-square tests, correlation analysis, regression analysis, and more. Data manipulation: SPSS provides functionalities to manipulate and transform data. You can recode variables, compute new variables, merge datasets, filter cases, and perform various data transformations to prepare your data for analysis. Data visualization: SPSS enables you to create charts, graphs, and plots to visually represent your data. This helps in understanding patterns, relationships, and trends in the data. Advanced statistical techniques: In addition to basic statistical tests, SPSS also supports more advanced techniques. For example, it offers tools for factor analysis, cluster analysis, discriminant analysis, survival analysis, and nonparametric tests.
Show me the quantitative analysis of your data on the population census of 2005.
A flame test is a qualitative analysis because you are not working with numbers and data, as in a quantitative analysis, but you are working with colours.
Microsoft Excel, as it is for numerical analysis and manipulation, which is what is done with quantitative data.
experimental, survey,non creative and secondary analysis research, last analysis of quantitative data.
If you mean qualitative and quantitative data, then data would be dealing with numbers to describe a statistical analysis whereas qualitative represents things that cannot be expressed as numbers such as color.
Qualitative research involves analysis of data such as words (e.g., from interviews), pictures (e.g., video), or objects (e.g., an artifact). Quantitative research involves analysis of numerical data.
any value recorded directly from a tool is considered quantitative data.
Not necessarily. Qualitative data could be coded to enable such analysis.
Qualitative data analysis involves interpreting non-numerical data, such as text or images, to identify patterns, themes, and meanings. It often involves techniques like coding, categorizing, and theme identification to draw conclusions from the data. Quantitative data analysis, on the other hand, involves analyzing numerical data using statistical methods to understand relationships, patterns, and trends.
experimental, survey,non creative and secondary analysis research, last analysis of quantitative data.
Peter Preece has written: 'Basic quantitative data analysis'
Cherry