Struggling with SPSS Data Analysis?
With over 9 years of practical experience in quantitative data analysis, A2Z Supporter is committed to helping you overcome all research challenges:
- Struggling with software installations or understanding data structures.
- Incomplete survey datasets or faulty questionnaire designs.
- Low-quality raw data continually failing assumptions (Cronbach's Alpha < 0.6, chaotic EFA factor matrices, severe multicollinearity...).
- Approaching submission deadlines with incomplete statistical processes.
SPSS Data Analysis Packages & Pricing
Your data is professionally refined and analyzed to ensure all diagnostic metrics satisfy target scientific standards. We support you long-term, incorporating subsequent advisor feedback.
Basic Pack
- Pearson Correlation
- Regression Analysis
Standard Pack
- Pearson Correlation
- Regression Analysis
- One-way ANOVA / T-Test
Advanced Pack
- Descriptive Statistics
- Cronbach's Alpha
- EFA (Varimax Rotation)
- Pearson Correlation
- Regression Analysis
- One-way ANOVA / T-Test
Premium Pack
- Includes all Advanced features
- Demographic Analysis
- Consultation & Pilot Test
- Interpretation Support (MS Word)
- Priority Support
Detailed Deliverables Comparison by Package
| Deliverables | Basic | Standard | Advanced ⭐ | Premium |
|---|---|---|---|---|
| Data Screening | ✓ | ✓ | ✓ | ✓ |
| Correlation Analysis | ✓ | ✓ | ✓ | ✓ |
| Regression Analysis | ✓ | ✓ | ✓ | ✓ |
| Group Comparison (ANOVA/T-Test) | — | ✓ | ✓ | ✓ |
| Reliability Testing (Alpha) | — | — | ✓ | ✓ |
| Construct Validation (EFA) | — | — | ✓ | ✓ |
| Demographic Profile | — | — | Basic | Detailed |
| Results Interpretation (MS Word) | — | — | — | ✓ |
| SPSS Raw Data (.csv) | ✓ | ✓ | ✓ | ✓ |
| Results Summary (PDF) | ✓ | ✓ | ✓ | ✓ |
| Pilot Testing | ✓ | ✓ | ✓ | ✓ |
| Consultation Support | — | — | Limited | Priority |
Deliverables & Formats (Deliver Material)
| Deliverables | Basic | Standard | Advanced ⭐ | Premium |
|---|---|---|---|---|
| SPSS Raw Data & Software Installation Support | ✓ | ✓ | ✓ | ✓ |
| Results Summary (PowerPoint/PDF) | ✓ | ✓ | ✓ | ✓ |
| Statistics guideline for understanding results (Document) | ✓ | ✓ | ✓ | ✓ |
| Google Form Collection Evidence & Google Sheet raw data with ownership transfer | — | — | ✓ | ✓ |
| Results Interpretation (MS Word) | — | — | — | ✓ |
Standardized SPSS Datasets for Practice
Explore our collections of pre-validated and standardized survey data. Each dataset is aligned precisely with theoretical framework guidelines and diagnostic assumptions (passing Cronbach's Alpha and demonstrating clean EFA factor loading matrices without arbitrary exclusions). All delivered datasets are customized and unique—never reused or distributed elsewhere!
PEN1 Dataset (N = 266)
- Independent Variables (IVs): 5 IVs (IV1-IV5, 4 items each)
- Dependent Variable (DV): 1 DV (5 items)
- Demographics: Gender, Age, Education level
- Features: All Alpha and EFA tests meet optimum requirements directly on the first run.
PEN2 Dataset (N = 280)
- Independent Variables (IVs): 6 IVs (IV1-IV6, 5 items each)
- Dependent Variable (DV): 1 DV (5 items)
- Demographics: Gender, Age, Education, Years of experience
- Features: Clean rotation loading matrix; robust discriminant validity structure.
PEN3 Dataset (N = 320)
- Independent Variables (IVs): 6 IVs (IV1-IV6, 4 items each)
- Dependent Variable (DV): 1 DV (5 items)
- Demographics: Gender, Age, Education, Monthly Income
- Features: High-grade linear correlation with minimal multicollinearity (VIF).
PEN4 Dataset (N = 350)
- Independent Variables (IVs): 6 IVs (IV1-IV6, 5 items each)
- Dependent Variable (DV): 1 DV (5 items)
- Demographics: Gender, Age, Education, Monthly Income
- Features: Optimally configured for standard postgraduate research projects.
PEN5 Dataset (N = 400)
- Independent Variables (IVs): 7 IVs (IV1-IV7, 5 items each)
- Dependent Variable (DV): 1 DV (5 items)
- Demographics: Gender, Age, Education, Income, Marital status
- Features: Outstanding construct validity with high convergent parameters.
PEN6 Dataset (N = 500)
- Independent Variables (IVs): 8 IVs (IV1-IV8, 5 items each)
- Dependent Variable (DV): 1 DV (5 items)
- Demographics: Gender, Age, Education, Income, Marital status, Work experience
- Features: High sample size matching Doctoral/PhD level research protocols.
Submit Your Project Brief & Requirements
Please fill out your study model specifications below to receive an accurate quote within 12 hours.
A2Z Supporter Consultation Contacts
WhatsApp / Hotline
Contact Email
Working Hours
8:00 - 11:30 & 13:30 - 21:00 (GMT+7)
For urgent out-of-office requests, feel free to leave a direct message via WhatsApp or Email. Our analysts will reply within a maximum of 12 hours.
Explanation of Key Statistical Tests
Descriptive Statistics
This includes frequency distributions (designed for categorical variables like gender, age, or education) and central tendency metrics (Means, Standard Deviations) calculated for 5-point Likert scale indicators. It provides a structured view of the main trends across your target sample responses.
Scale Reliability Analysis (Cronbach's Alpha)
Evaluates the internal consistency and reliability of observed items measuring a single latent factor. It ensures that standard Alpha coefficients remain above 0.6 and item-total correlations meet the accepted standards. A2Z Supporter systematically fixes issues associated with poor Alpha values or over-exclusion of variables.
Exploratory Factor Analysis (EFA)
Used to condense information and evaluate the construct validity (convergent and discriminant validity) of your scale dimensions. Applying Varimax rotation groups the items logically. We resolve structural problems such as messy cross-loadings or misalignments of target factors.
Pearson Correlation & Multiple Linear Regression
Pearson Correlation determines the preliminary linear associations. Regression Analysis establishes the causal path and effect weights of independent variables on the dependent variable, while testing assumptions like autocorrelation (Durbin-Watson) and multicollinearity (VIF).