SPSS Analysis | Lotus Worldwide Research Foundation
Data Analysis Division

SPSS Analysis Services

Precise, defensible statistical analysis for PhD scholars, master’s students, and researchers — from data cleaning to publication-ready output tables.

500+
Datasets Analysed
15+
Statistical Tests Covered
100%
Confidential Handling
24-48h
Turnaround Options
Why SPSS, Why Us

Statistical Clarity for Serious Research

SPSS remains the most widely accepted statistical software in academic evaluation. Getting it right the first time saves months at the viva and review stage.

At Lotus Worldwide Research Foundation, our SPSS analysts work directly with your raw data — survey responses, secondary datasets, or experimental records — and convert it into results your supervisor and reviewers can trust.

We don’t just run tests; we help you choose the correct test for your hypotheses, interpret the output in plain academic language, and format every table according to APA or your university’s guidelines.

Every engagement includes a walkthrough call so you understand exactly what was done and why — because a thesis defense goes best when the numbers are yours to explain.

What You Receive

  • Cleaned & coded SPSS data file (.sav)
  • Complete output file (.spv) with annotations
  • APA-formatted tables ready for your chapters
  • Plain-language interpretation notes
  • One-on-one explanation session
Our Coverage

SPSS Analysis, Test by Test

From foundational descriptives to advanced inferential modelling — mapped to what your research design actually needs.

01

Descriptive Statistics

Mean, median, frequency distributions, and cross-tabulations to summarise your sample before hypothesis testing begins.

02

Reliability & Validity

Cronbach’s Alpha, KMO and Bartlett’s Test, and Exploratory Factor Analysis to validate your questionnaire constructs.

03

T-Tests & ANOVA

Independent, paired-sample t-tests, one-way and two-way ANOVA with post-hoc comparisons for group differences.

04

Correlation & Regression

Pearson/Spearman correlation, linear and multiple regression, and moderation-mediation analysis for causal claims.

05

Non-Parametric Tests

Chi-Square, Mann-Whitney U, Kruskal-Wallis, and Wilcoxon tests when your data doesn’t meet normality assumptions.

06

Advanced Modelling

Logistic regression, MANOVA, and pre-structural work to hand off cleanly into AMOS or SmartPLS if your model needs SEM.

How It Works

From Raw Data to Ready Chapter

A clear five-step process so you always know what stage your analysis is at.

1

Share Data

Send your raw dataset and research objectives via WhatsApp or email.

2

Test Selection

We map your hypotheses to the correct statistical tests and confirm with you.

3

Run Analysis

Data cleaning, coding, and analysis carried out in SPSS by our statisticians.

4

Interpret Results

Output is translated into clear findings and APA-formatted tables.

5

Review Call

A walkthrough session so you can defend every number with confidence.

Ready to Move Your Chapter 4 Forward?

Send your dataset today and get a free scope assessment from our SPSS analysts within a few hours.

Chat With Us on WhatsApp
Scroll to Top