From subjective information to objective data

Conducting a qualitative research does not mean that you will not have to apply statistical tools and tests. The data or information will still have to be subjected to some tests, to measure the impact, or comparisons have to be made. Modules have to be formed and tables drawn for such information also. The results will be interpreted and will be presented in relation to the research questions which are raised at the starting of the study. It will be assessed whether the hypothesis has been proved or not. For humanities scholars, who are conducting social sciences studies, taking help from a dissertation statistics consultant will prove to be helpful. 

Now, how does one conduct numeric tests for information that is subjective? There might be some data, both nominal and ordinal, which will have to be assigned grades or values. This system is known as value labeling. While using SPSS, students can do these themselves or can take SPSS help from statisticians. The value label dialogue box, shown below, is accessed for this purpose. A numeric or grade can be entered by clicking in the value box. Similarly, a label corresponding to that value will be entered in the value label box. Both of these can be added to the table by clicking on the add button. There is also the provision of changing the fields entered, or removing them. 

By clicking on the ‘toe tag’ icon in the SPSS toolbar, you can switch between the numeric variables and their values in the list. The software also enables you to fix the alignment of the data, i.e. the manner in which it will be aligned in the table. The type of measurement can be selected, from the options given in a SPSS program. While ‘ordinal’ and ‘nominal’ measures are given as separate categories, the ‘interval’ and ‘ratio’ levels of measurement are combined under the category of ‘scale’. 

An introduction to ANOVA

There are a number of tests that can be applied for statistical analysis. Among them, ANOVA is one technique that is used often by students. ANOVA means Analysis of Variance and seeks to test whether or not the means obtained from various groups of data are equal. The data in this technique is divided in many groups, as per the sources of data. ANOVA is actually a combination of tests that are applied together. The best part is that ANOVA is included under the Statistical Package for Social Sciences (SPSS) and you can access professional help for using the same.

There are a few assumptions that you make while using ANOVA. One thing that it assumes is that all the distributions of data are normal. Independence of cases is another assumption, while equality of the variances in data groups is also assumed. The advantage of using ANOVA is that a number if errors are avoided, which can be there if many single tests are applied. This makes it possible to have a Dissertation Data Analysis which is flawless.

To apply the test with SPSS, there are some simple instructions that need to be followed. Though it is easy to apply the test, it can be difficult to understand the result, as the sheet that displays the outcome needs to be interpreted with caution. By taking SPSS Help, conducting the test, and interpreting the outcome will be easier and the study will be accurate.

The test can be one-way or two-way. While the one way ANOVA seeks to compare the means of multiple variables, with only a single category of experiment, the two way test is used when there is more than one factor to be measured and compared. For instance, in an educational study a scholar may want to measure the performance of the class population, as well as the effectiveness of techniques of teaching. Thus, depending upon the nature of study, a scholar might choose between these two types of ANOVA test.