Saturday, June 4, 2016

Call/SMS/WA +6287784673150 or ahlidata@yahoo.com for statistical data analysis services of thesis and dissertations research using SPSS, Eviews, AMOS, LISREL (for SEM) and Partial Least Square (PLS) software.


Some reasons to use our services:

  • Data processing supervised by senior lecturer of statistics and methodology courses in postgraduate school.
  • The results of data processing are given a detailed interpretation that can be used as the main component of chapter four or chapter of results and discussion
  • Affordable cost and are paid after the results are emailed, so that students do not bear the risk of losing the money.

Usually the data processing is a multiple linear regression analysis, analysis ofvariance (ANOVA), experimental design (design of experiment), the analysis of simultaneous equation models, structural equation modeling (SEM), linear programming models or other quantitative models. In general, research with quantitative methods include a series of tests and data analysis include: testing the research instrument or questionnaire (test reliabilityand test validity), test the basic assumptions(normality test, homogeneity, linearity), test the assumptions of classical deviations(multicollinearity, Heteroskedasticity, Autocorrelation), Linear Regression, Path Analysis, Structural Equation Modeling(SEM).

To request a data processing service, you simply send via email your data and the analysis you or your professor wants.The results of the analysis will be presented with detailed explanation in writing.

Armed with experience as a consultant and lecturer of research methods, managerial economics, statistics and econometrics in postgraduate school, I am sure I can solve research problems that you face.



Jln. Borobudur No. 7D Jakarta Pusat, Indonesia
Tel. +62-21-7777 379
Mobile : +6287784673150


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Statistical Consulting is the most challenging and the most profitable part of the statistics. A consultant using the art and science of statistics to solve practical problems. The problem comes from a variety of fields, such as marketing, product design, manufacturing, medicine, agriculture, or genetics, but many of us specialize in just a few application areas.
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