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If you’re in the mid of **dissertation writing** and you’ve developed a hypothesis to prove your study, we bet that you haven’t picked the **right software for the quantitative analysis** yet. Empirical studies within social science domains such as **Economics, Marketing, Human Resource, Nursing, and Education** can demand the students to carry out a quantitative study by picking dependent and independent variables. Bear this in mind that not every quantitative analysis technique is the best match for your study. Depending on the nature, number of variables, and required outcomes, the quantitative analysis type can significantly vary. This blog will serve in two ways, firstly, it’ll enlighten you about different quantitative analyses available and commonly employed, particularly for social sciences, and secondly, it’ll aid in determining which software is a best match to carry out the analysis. If you don’t know, let us tell you that there are more than 50 statistical software available in the market, but your tutor won’t approve all.

Different Statistical Software used in the social science dissertation

Frequency analysis is the simplest form of the quantitative analysis, commonly depicted through graphs (Tables can also be used to enhance the visualization of the results). This genre of quantitative analysis is best for studies, which don’t aim to evaluate the relationship between dependent& independent variables in the complex way. Frequency analysis, on the other hand, is used to measure the level at which sampling (population) rate their responses to a particular question. Let’s say that a study is conducted to measure the relationship between*Celebrity Endorsement and Consumer Behavior*. The most effective way to use frequency analysis for the study is to design a **close-ended questionnaire** consisting of multiple sets of questions. For each question, the responses received from every respondent can be recorded and depicted through a bar or column graph. As for the apt software, you can use either SPSS or Excel. If you’re an undergraduate student, Excel might be right choice, because it is less complex& entails more visual options (See Excel output image below) than SPSS. However, if you’re a Masters or a postgraduate student, you’d better use SPSS. Why? Because SPSS is regarded as high class software for statistical analysis, it will not just show your efficiency to the tutor but also will help you in improving software skills. Below two graphs are plotted to show how the output graphs of SPSS excel differ in visual.

SPSS Output Excel Output

**Regression and correlation analysis** is one of the most popular quantitative analyses employed for estimating the relationship between two and among more than two variables. If you aim to analyse the way value of your dependent variable (Y) varies upon changes in the independent variables (X), then regression and correlation can serve your study the best. More so, you’ve further two options, either to perform linear regression or non-linear regression. Let’s assume that you want to understand the relationship between*Level of Corruption Perceived Index (CPI) and the Foreign Direct Investment (FDI) inflow in any country*. You can pick linear regression to understand the significance value and R-test. A number of statistical software support features to perform regression model. Few most popular and recommended software are: **SPSS, eView, STATA, STATISTICA, Excel, and SHAZAM**. Out of these, the most recommended software for regression model is SPSS by IBM (See SPSS menu option to perform regression below).

SPSS menu option for regression model

T-Test is best to assess if the means of two groups statistically vary from each other. So, it is not wrong to say that it’s used for comparing the means of two groups. This type of test is usually conducted in Nursing, Health Science, and Education related researches. Similar to other quantitative analyses, T-test can be performed in SPSS, eViews, and STATA software. If you’re a Masters level student doing your master's thesis, you can simply go for SPSS. If your tutor wants a more perplexing work from you, you can also go for STATA and eViews.

A unit root test measures the time series variable at non-stationary level with the help of auto regressive model. So, if you’re aiming for VAR model (vector autoregression) for your next **Econometrics dissertation** **writing** and you don’t want to hire the custom writing service to do your dissertation then our unit root blog can help you a lot.

Uni-variate descriptive mainly consists of measuring the mean, mode, median, variance, and standard deviation. Using mean, mode, and median helps in measuring the trend in data of a population. Let’s say, you’re studying the population comprising of household consuming a particular product, you may want to see the average of the population consuming the particular product. Similarly, variance and standard deviation are helpful in measuring the dispersion of the data. You can either use Excel or SPSS to perform a simple average, variance and standard deviation.

Multivariate analysis, also called MANOVA, is analysis of variance with a number of dependent variables. MANOVA test is chiefly carried out for the variance in two or more vectors of means. Similar to Regression, Multivariate test measures how the variables relate with each other. MANOVA also helps in strengthening the linear relationships between each variable with the help of the correlation table. The test can be done in SPSS, eViews, and STATA.

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