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

Some reasons to use our services:

Usually the data processing is a multiple linear regression analysis, analysis of variance (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 reliability and 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).

Some of the more common statistical methods that I use are listed below. Follow the links for tutorial topics on these tests.

T-Test

Paired T-test

Chi-Square Test

ANOVA

ANCOVA

MANOVA

Repeated Measures ANOVA

Factor Analysis

Cluster Analysis

Linear Regression

Logistic Regression

Correlation

Mann-Whitney test

Kruskal-Wallis test

Wilcoxon Signed-Ranks test

McNemar's Test

Friedman's Test

Survival Analysis

To ask 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,multivariate analysis and econometrics in graduate school, I am sure I can solve research problems that you face.

Email: ahlidata@yahoo.com

Mobile/WA : +6287784673150

Some reasons to use our services:

- Data processing supervised by senior lecturer of statistics, multivariate analysis and research methodology courses in graduate 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 of variance (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 reliability and 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).

**Common Statistical Methods**Some of the more common statistical methods that I use are listed below. Follow the links for tutorial topics on these tests.

T-Test

Paired T-test

Chi-Square Test

ANOVA

ANCOVA

MANOVA

Repeated Measures ANOVA

Factor Analysis

Cluster Analysis

Linear Regression

Logistic Regression

Correlation

Mann-Whitney test

Kruskal-Wallis test

Wilcoxon Signed-Ranks test

McNemar's Test

Friedman's Test

Survival Analysis

To ask 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,multivariate analysis and econometrics in graduate school, I am sure I can solve research problems that you face.

Email: ahlidata@yahoo.com

Mobile/WA : +6287784673150

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