Quantitative Methods of Inquiry – Solved Essay
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Quantitative Methods of Inquiry – Solved Essay
Quantitative Methods of Inquiry
Quantitative methods of research emphasize on measurements of objects and statistical, mathematical, or numerical data (Flick, 2014). The data may be collected through questionnaires, polls, surveys, or the manipulation of pre-existing statistical data with the help of computational techniques (Blackstone, 2018). Quantitative research is focused on gathering numerical data and generalizing it across groups of people or when explaining a particular phenomenon (Flick, 2014). It emerged to quantify data. This method is specific in its surveying and experimentation because it is built upon existing theories. Quantitative research method begins with a statement and involves the formation of strategies of inquiry like experimental and surveys, and proceeds to the collection of data on the predetermined instruments, which yields statistical data (Flick, 2014).(Quantitative Methods of Inquiry) There are various methods of quantitative inquiry. The main quantitative methods of inquiry are: correlational, descriptive, quasi-experimental, and experimental. The methods differ in the degree of control the researcher has on the experimental variables. Below is the description of the mentioned quantitative methods of inquiry.(Quantitative Methods of Inquiry) Descriptive design: this type of quantitative inquiry seeks to describe the most current status of a phenomenon. In this case, the researcher needs not to begin with a hypothesis, but in case, one is developed after the collection of data. The collection of data is more observational (Blackstone, 2018).(Quantitative Methods of Inquiry) Correlational design: this method of quantitative design seeks to explore the relationship between the variables with the use of statistical analysis. In this method, it does not aim for the cause and effect. Thus, it is more observational with relationship to data collection. Experimental designs: this is also called true experimentation. It makes use of the scientific methods to establish the cause and effect, but not for the one being manipulated, which is the independent variable in this case. In this design, the dependent and the independent variable are collected and analyzed for the relationship (Mertens, 2014).(Quantitative Methods of Inquiry) Quasi-experimental design: this is also called the casual-comparative design. In this method of inquiry, there is an attempt to establish a cause-effect relationship between two or more variables. In this case, the researcher doesn’t assign groups and does not manipulate the independent variable. There is the identification of the control, groups, and exposure to variables. There is a comparison of results from the groups that are not exposed to the variables (Nardi, 2018).(Quantitative Methods of Inquiry) From the data, the mean, mode, and median of the discharges in all states in 2014 are 604175.2258, 49564, and 393002, respectively. The SPSS table is as below:| Statistics | ||
| year2014 | ||
| N | Valid | 31 |
| Missing | 2 | |
| Mean | 604175.2258 | |
| Median | 393002.0000 | |
| Mode | 49564.00a | |
| a. Multiple modes exist. The smallest value is shown | ||
| Statistics | ||||
| The year 2010 | The year 2012 | The year 2015 | ||
| N | Valid | 31 | 29 | 32 |
| Missing | 2 | 4 | 1 | |
| Mean | 756629.1290 | 643490.9310 | 593000.3750 | |
| Median | 478025.0000 | 473461.0000 | 387108.0000 | |
| Mode | 52965.00a | 52180.00a | 52755.00a | |
| Std. Deviation | 860411.47379 | 632443.48421 | 613848.00780 | |
| Minimum | 52965.00 | 52180.00 | 52755.00 | |
| Maximum | 3970921.00 | 2670520.00 | 2817621.00 | |
| Sum | 23455503.00 | 18661237.00 | 18976012.00 | |
| a. Multiple modes exist. The smallest value is shown | ||||

| Statistics | ||||||
| North-western | Southwestern | Central | North-eastern | South-eastern | ||
| N | Valid | 5 | 6 | 7 | 8 | 5 |
| Missing | 28 | 27 | 26 | 25 | 28 | |
| Mean | 518367.6000 | 889662.6667 | 477005.0000 | 755602.2500 | 1134405.0000 | |
| Median | 634750.0000 | 287955.5000 | 389828.0000 | 600633.5000 | 1073083.0000 | |
| Minimum | 134824.00 | 206720.00 | 33757.00 | 52214.00 | 293325.00 | |
| Maximum | 801982.00 | 3933239.00 | 1269145.00 | 2578680.00 | 2656249.00 | |
| Sum | 2591838.00 | 5337976.00 | 3339035.00 | 6044818.00 | 5672025.00 | |
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