quantitative data analysis


Combining thise research method with quantitative data … But isn’t great for how and why questions. We use your LinkedIn profile and activity data to personalize ads and to show you more relevant ads. By using financial research and analysis, quantitative analysis seeks to assess every investment opportunity, as well as try to estimate a change in macroeconomic value. Learn more. This ratio hold true regardless of which scale the object is being measured in (e.g. You can also disaggregate the data by subcategories within a variable. Nature of quantitative data analysis: To trace, by means of accumulating the relevant data, the influx of refugees from the Caribbean islands to London from 1940 to 1960. We provide basic descriptions of each method but encourage you to seek additional information (e.g., StatSoft Electronic Statistics Textbook and Hyperstat Online Statistics Textbook) and training before using these procedures below. This result is masked when you report the average satisfaction level of all participants in the program is 2.8 (on a 4-point scale) and that 75% of the students sampled were satisfied with their experience. Qualitative research is a better option for exploring participant experiences and opinions. See our Privacy Policy and User Agreement for details. The Pell Institute and Pathways to College Network. Quantitative Research Methods Quantitative means quantity which implies that there is something that can be counted. This will be compared to the influx of migrants from that region after the commonwealth laws were tightened in the United Kingdom. All but one of the students of color in the Boston program were dissatisfied with their experience since there were 6 students of color in the Boston program. Slideshare uses cookies to improve functionality and performance, and to provide you with relevant advertising.
You can change your ad preferences anytime. For example, a regression would help you determine if the length of participation (number of weeks) in the summer program is actually predictor of students’ high school grades the following year. Scribd will begin operating the SlideShare business on December 1, 2020 Using data from our example, let’s explore the participant demographics (gender and ethnicity) within each program city. FARHANA BINTI YAAKUB

A frequency distribution is an organized tabulation of the number of individuals or scores located in each category (see the table below). Looks like you’ve clipped this slide to already.

2, we explored types and uses of data, and we also performed data analysis on quantitative data with graphical techniques. Data Analysis The report of a quantitative data analysis must be written accurately with the necessary pictorial or graphical representations. In the table, you can see that the average satisfaction level of the students surveyed who participated in the summer program (n =20) was 2.8, with a range of 1 = Very Dissatisfied to 4 = Very Satisfied. Thus, univariate analysis & subgroup comparisons focus on describing the people (or other unit of analysis) under study, whereas bivariate analysis focuses on the variables and empirical relationships. Before you begin your analysis, you must identify the level of measurement associated with the quantitative data. See our User Agreement and Privacy Policy. In this section, you will learn about the most common quantitative analysis procedures that are …

From the table, you can see that 15 of the students surveyed who participated in the summer program reported being satisfied with the experience. Regression is an extension of correlation and is used to determine whether one variable is a predictor of another variable. This allows you to take a deeper look at the units that make up that category.

A correlation is a statistical calculation which describes the nature of the relationship between two variables (i.e., strong and negative, weak and positive, statistically significant). Descriptives Calculated for “Satisfied with Program Experience”. Find a certified presentation designer for your next project on Prezi Data Analysis, Presentation and Interpretation of Data, Presentation, analysis and interpretation of data, No public clipboards found for this slide, Energy Department Director at HYDRO CONSTRUCTION & ENGINEERING CO.,LTD. Date of submission of quantitative data analysis: July 2011.
For example, an analysis of variance will help you determine if the high school grades of those students who participated in the summer program are significantly different from the grades of students who did not participate in the program.

In addition to the basic methods described above there are a variety of more complicated analytical procedures that you can perform with your data. It is made for research methodology sub-topic. 1. Presenter:

Oct. 8, 2020.

Variable Frequencies for Student Summer Program Survey Data.

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