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Data Cleaning & Coding
Data cleaning, coding and missing-value review.
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DATA ANALYSIS & RESEARCH SUPPORT
Data Analysis That Connects Directly to Your Research Objectives.
Good analysis is not about applying the largest number of statistical tests. It is about selecting techniques that match the research questions, variables, measurement scales, assumptions and hypotheses. Shodhak Hub supports the complete analysis workflow from data screening to interpretation.
01
Quantitative Analysis
Methodologically appropriate techniques selected according to your research design, variables, objectives and hypotheses.
DS
Descriptive Statistics
Descriptive statistics and demographic profiling.
RV
Reliability & Validity
Reliability analysis and scale assessment.
CA
Correlation & Association
Correlation and association analysis for relevant variables.
HT
Hypothesis Testing
t-test, ANOVA, Chi-square and non-parametric tests.
RG
Regression Analysis
Multiple and logistic regression where appropriate.
FA
Factor Analysis
Exploratory and confirmatory factor analysis.
MM
Mediation & Moderation
Mediation, moderation and path analysis.
SM
SEM / PLS-SEM
SEM / PLS-SEM where methodologically appropriate.
MD
Model Diagnostics
Model diagnostics, validity and hypothesis decisions.
02
Software Support
Depending on the research design and requirements, analysis can be supported using SPSS, Microsoft Excel, R, Python, SmartPLS and related analytical tools.
SPSS
Microsoft Excel
R
Python
SmartPLS
Research Tables
Final outputs can include cleaned data, test results, tables, figures
and thesis/paper-ready interpretation as agreed.
03
Qualitative & Mixed-Methods Support
For qualitative and mixed-method studies, support may include coding frameworks, thematic analysis, content analysis, category development, integration of qualitative findings with quantitative results and structured presentation of themes.
✓ Coding frameworks
✓ Thematic analysis
✓ Content analysis
✓ Mixed-methods integration
CTA: SEND YOUR DATA & OBJECTIVES
Discuss Your Data →
Choose the Right Analysis Plan Before Running the Tests.
Share your questionnaire, dataset, objectives and hypotheses to identify the most appropriate analysis plan.