I can help you conduct statistical analysis and reporting using SPSS
- 4.7
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Project Details
Why Hire Me?
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With over 7 years of experience in SPSS, I offer not only technical proficiency but also the ability to extract meaning from data and present it in a reader-friendly format.
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Expert in descriptive, inferential, and multivariate statistics in SPSS
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Skilled in hypothesis testing, regression, ANOVA, factor and cluster analysis
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Proficient in handling academic, healthcare, social science, and business data
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Strong focus on SPSS syntax-based reproducibility and transparent reporting
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Capable of producing publishable-quality reports aligned with journal or institutional requirements
What I Need to Start Your Work
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Project Details
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Summary of your study or business case, including objectives
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Key research questions or hypotheses under investigation
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Data and Data Description
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Dataset(s) in
.sav,.csv, or.xlsxformats -
Definitions of variables and any existing data cleaning performed
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Analysis Requirements
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Preferred statistical tests or techniques (e.g., t-test, chi-square, regression, etc.)
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Any specific SPSS procedures (e.g., reliability tests, scale analysis, ROC curve) you want included
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Reporting Needs
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Final output format (Word, PDF, annotated SPSS output)
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Instructions on visuals, tables, or formatting style for academic or professional standards
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Communication & Timeline
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Preferred communication mode (email, call, etc.)
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Project timeline with deadlines and intermediate milestones, if applicable
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Portfolio
SPSS-Based Consumer Preference Analysis for Smart Home Products: Demographic Segmentation and Regression Insights
Discover how SPSS was used to analyze consumer preferences and purchase intent for smart home devices. This project includes ANOVA, regression, and demographic segmentation to support data-driven marketing strategy.
Workplace Stress vs. Job Satisfaction: SPSS Regression Analysis for HR Insights
Explore how workplace stress affects employee satisfaction using SPSS. Includes regression, ANOVA, and interaction effects to guide HR decision-making.
Customer Retention Insights from Loyalty Programs: SPSS Logistic Regression & Cluster Analysis
Use SPSS to analyze what drives customer retention in loyalty programs. Includes logistic regression, Chi-square tests, and segmentation for actionable insights.
Process
Customer Reviews
5 reviews for this Gig ★★★★★ 4.7
my deadline was in 2 days and he helped with the full descriptive and correlation analysis plus the writeup no stress at all
used spss for regression and t-test with my retail data and gave me both tables and interpretations easy to use in my thesis
very helpful with cleaning my messy survey file and coding responses in spss report looked neat and supervisor liked it
honestly i was stuck with chi square and factor analysis he not only ran them but explained which test to use and why
he made my final year project analysis so easy with clear spss outputs and explained everything like i was a beginner






