A lot of candidates have little or no knowhow about the subject. DISSERTATION SERVICE has been helping such candidates with expert statistical consulting on all topics. In fact, none of the topics has ever been turned down by the organisation due to its complexity.
The organisation focuses not only on working out the solution and writing the final draft but serves a dual purpose of simultaneously helping the researcher understand the nitty -gritty and complexities associated in a better way. The client understands and learns to conduct statistical tests, Choice of Software like SPSS with a rationale for choosing the solution method as well.
A lot of research in the academic area can be catered through the use of SPSS, Stata, AMOS and E-Views. In fact, over 95 per cent of all of the statistical consulting projects are dealt using any of the above software. Dissertation SPSS help has also been a popular search tag for this service. The organisation generally classifies this service under vertical.
Facts, as has been shown, are dependent upon a theoretical framework for their meaning. They are also statements of relationships between concepts. A hypothesis states what the scholar is looking for. When facts are assembled, ordered, and seen in a relationship, they constitute a theory. The theory is not a speculation but it is built upon fact. Now, the various facts in a theory may be logically analysed, and relationships other than those stated in the theory can be deduced. At this point, there is no knowledge as to whether such deductions are correct. The formulation of the deduction, however, constitutes a hypothesis; if verified it becomes part of a future theoretical construction.
The function of the hypothesis is to state a specific relationship between phenomena in such a way that this relationship can be empirically tested which means the hypothesis must be empirically demonstrated as either probable or not probable.
Developing a questionnaire can be thought of as moving from the "inside" outward. What is meant by this is that the researcher should first lay out the logical implications of his problem and then draw upon his own experience and literature for questions which are relevant to those logical implications.
It should be clear to the student that no precisely and accurately organised schedule or questionnaire can be constructed purely on the basis of the procedures discussed as above; empirical checking becomes indispensable. It is important to conduct a pilot study to overcome such mentioned problems and arrive at absolute solutions.
1. Examining the data
2. Factor Analysis
3. Multiple Regression analysis
4. Multiple Discriminant Analysis
5. Logisitic Regression
6. Multivariate Analysis of variance (MANOVA)
7. Conjoint Analysis
8. Cluster Analysis
9. Multidimesional Scaling and Correspondence Analysis
10. Structured Equation Modelling
View a step by step sample guide on conducting Principal Component Factor Analysis using SPSS:here.