Statistical Analysis Services for Research Projects employing SPSS, LISREL, and Microsoft Excel Applications

Keywords applicable to this article: statistical analysis, descriptive statistics, inferential statistics, statistical data analysis, SPSS, LISREL, statistical package for social sciences, quantitative
research, triangulation research, mixed methodology, hypotheses testing, data presentation, data analysis, phenomenology, Likert scale, Grounded Theory

By: Sourabh Kishore, Chief Consulting Officer

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Statistical Analysis is an integral part of Quantitative Research studies in which all the inputs, indicators and measures are
numbers that can be represented in absolute form or in the form of metric units. Statistical techniques can be employed in any
form of research that deals with numbers - scientific research, social research, management research, technical research,
psychological research, philosophical research, etc. Fundamentally, Statistical Analytics comprises of two types of techniques -
Descriptive Statistical Analytics and Inferential Statistical Analytics. The Descriptive Statistical Analytics are carried out within
the Research Sample that has been collected by the researcher to represent a large population. The attributes that are analysed in
Descriptive Statistical Analytics are: Central Tendency of the Data Set and Dispersion Tendency of the Data Set. The Central
Tendency is analysed using the parameters: Mean, Median, Mode and Skewness; and the Dispersion Tendency of the Data Set is
analysed using the parameters: Variance, Standard Deviation and Kurtosis. The Descriptive Statistical Analysis can result in
excellent reflections from the data sets within the sample but they cannot be readily applied to the entire population. There are
two ways to apply the Descriptive Statistical results to the entire population:

Grounded Theory Approach: The data is closely matched with past empirical results such that the extent of similarities and
differences can be verified and conclusions from the primary data analysis can be drawn. Such an approach is used in
Triangulation Methodology which is the mix of Qualitative as well as Quantitative Research methodologies. This approach of
applying Descriptive Statistical data on the entire population is employed in scientific as well as phenomenology research
techniques and is normally employed in the Interpretive and Realism Philosophical approaches to conducting the research.

Inferential Statistical Analytics: The Descriptive Statistical analytics can be applied to the entire population by carrying out
additional statistical analytics that are primarily employed to prove or reject Hypotheses. Some of the examples are: Chi-Square
test, ANOVA, ACOVA, MANOVA, Multiple Regression Tests, Student's T test, etc. The Inferential Statistical analytics are
employed in pure quantitative research studies in which all the results are based on statistical analytics only and human
interpretations of the textual responses are not employed. These techniques is employed in Positivist's approach of conducting the

In scientific research studies, the input data can be obtained from experiments conducted in laboratories or from simulation
outcomes. In management and social research studies, the input data can be obtained from the output of Likert Scale which is
normally embedded as the part of Structured Questionnaire. Likert Scale can be employed for Triangulation methodology as
well as Quantitative
methodology. Some qualitative researchers also prefer to use Likert scale to enhance their interpretations of
the results but they do not conduct statistical analysis of the outcomes.

We can help you to conduct both Descriptive and Inferential statistical analysis for your Research Project. The process followed is
the following:

(a) You may send us your primary research data in whatever form you have collected - in hard copies (scanned), in MS Word
tables or in MS Excel sheets.

(b) We will organise the data in a separate MS Excel sheet in such a way that it can be readily imported into SPSS or LISREL. If
there are any errors in the primary data, we will help you to rectify them.

(c) We will help you to import data in the SPSS package on your computer (you will need to have a licensed copy of SPSS or
LISREL Academic version on your computer) and will help you to generate the results in tables as well as graphs. Please note
that LISREL is used for multivariate statistical modeling for factor analysis, and structural equation modeling.

(d) We will conduct an analysis of the data and write the report which will be sent to you. If you want us to analyse the data with
respect to the Literature Review carried out by you, we can do so at additional costs.

The cost of our efforts will depend upon the sample size and the corresponding data volumes that needs to be organised in MS
Excel and then imported into SPSS on your computer for descriptive and inferential statistical analysis, and LISREL for
multivariate statistical analysis
.. The cost will also depend upon whether you only want descriptive statistical analysis (mostly
used in "Triangulation" or "Mixed" methodology) or want to conduct inferential statistical analysis as well (mostly used in "Pure
Quantitative" methodology, i.e., research studies that require proving or rejecting hypotheses). For grounded theory approach
(comparing the primary data and its statistical analytics with past empirical theories) and for writing up the entire report, the
charges shall be extra based on the number of words required by the customer. We can also evolve the conclusions and
generalisations based on our analysis and present to you our opinion in the write up. You may however like to confirm yourself
if our opinion justifies your research aims and objectives. We will take accountability of the accuracy of all analytics and the
conclusions drawn but the final success will depend upon whether your research aims and objectives have been met or not.

Please contact us at or to discuss your statistical analysis requirements.
Further, We also offer you to develop the "problem description and statement", "aim, objectives, research questions", "design
of methodology and methods", and "15 to 25 most relevant citations per topic" for
three topics of your choice of research areas
at a nominal fee. Such a synopsis shall help you in focussing, critically thinking, discussing with your reviewers, and
developing your research proposal. To avail this service, Please Click Here for more details.

Dear Visitor, Please visit the page detailing Software Development, Integration, Testing, Runtime, and Training pertaining to
our services in the stated context
and our topic development domains to view the broader perspective of our offerings for
Dissertations and Thesis Projects. With Sincere Regards, Sourabh Kishore.

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