Quantitative Method

Quantitative Method

OTS provides high-quality quantitative statistical consulting for researchers, postgraduate students, institutions, NGOs, and private organizations. Our services ensure methodological rigor, accuracy, and professional reporting aligned with international academic standards.

Research Design & Methodology

  • Selection of quantitative research design
  • Hypothesis formulation and variable identification
  • Sampling method selection & sample size calculation
  • Development of conceptual and theoretical frameworks

Instrument Development

  • Survey and questionnaire design
  • Validity testing: content, construct, face
  • Reliability testing: Cronbach’s Alpha, split-half, test–retest

Data Entry, Cleaning & Preparation

  • Coding and structuring datasets
  • Handling missing data and outliers
  • Data transformation and normalization
  • SPSS, Excel, R, and Stata file preparation

Descriptive Statistics

  • Frequencies, percentages, tables, charts
  • Mean, median, mode
  • Standard deviation & variance
  • Cross-tabulations and descriptive summaries

Inferential Statistics

  • T-tests (independent, paired)
  • ANOVA & MANOVA
  • Chi-square tests
  • Correlation (Pearson, Spearman)
  • Regression (simple, multiple)
  • Non-parametric tests (Kruskal-Wallis, Mann-Whitney, Wilcoxon)

Advanced Quantitative Analysis

  • Exploratory & Confirmatory Factor Analysis
  • Structural Equation Modeling (AMOS, SmartPLS)
  • Mediation & moderation (PROCESS Hayes)
  • Path & hierarchical regression
  • Cluster analysis & segmentation
  • Time-series analysis & forecasting

Visualization & Reporting

  • High-quality graphs, tables, charts
  • Academic interpretation of statistical results
  • APA/Harvard statistical reporting
  • Writing assistance for results, discussion & conclusion sections

Thesis, Dissertation & Journal Support

  • Full quantitative analysis for MA/PhD studies
  • Reviewer/supervisor-based revisions
  • Turnitin-ready statistical reports
  • Journal submission support (Scopus, WoS, PubMed)

 

Category:

Description

Quantitative Research Methods

Category Service Description
1. Quantitative Research Design & Methodology • Selection of quantitative research design (descriptive, correlational, experimental, quasi-experimental) • Hypothesis formulation and variable identification • Sampling techniques and sample size calculation • Development of conceptual & theoretical frameworks
2. Instrument Development (Quantitative) • Designing structured questionnaires and surveys • Validity testing: content, construct, face validity • Reliability testing: Cronbach’s Alpha, split-half, test–retest
3. Data Entry, Cleaning & Preparation • Coding and labeling variables • Handling missing data and outliers • Data transformation and normalization • Preparing SPSS, Excel, R, and Stata datasets
4. Descriptive Statistics • Frequencies, percentages, tables, charts, graphs • Measures of central tendency (mean, median, mode) • Measures of dispersion (SD, variance) • Cross-tabulations and descriptive summaries
5. Inferential Statistics • T-tests (independent, paired) • ANOVA & MANOVA • Chi-square analysis • Correlation (Pearson, Spearman) • Regression (simple, multiple) • Non-parametric tests (Mann–Whitney, Kruskal-Wallis, Wilcoxon)
6. Advanced & Multivariate Analysis • Factor analysis (EFA, CFA) • Structural Equation Modeling (AMOS, SmartPLS) • Mediation & moderation (PROCESS Hayes) • Path and hierarchical regression analysis • Cluster analysis & segmentation • Time-series analysis and forecasting
7. Quantitative Visualization & Reporting • High-quality charts, graphs, and statistical tables • Academic interpretation of statistical results • APA/Harvard statistical reporting • Writing results, discussion, and conclusion chapters
8. Thesis, Dissertation & Journal Support (Quantitative) • Complete quantitative analysis for Master’s & PhD research • Revisions based on supervisor or reviewer comments • Turnitin-ready reports • Support in preparing quantitative sections for Scopus/WoS/PubMed journals

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