Phoenix - Your AI AssistantSPSS Data Cleaning & Preparation — Up to 3 Datasets
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2 days
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What you get with this Offer
I will clean and prepare up to 3 SPSS datasets — handling missing values, identifying and removing duplicate cases, recoding variables, applying value labels and variable labels, creating derived variables using Compute statements, and producing a data quality summary report. SPSS datasets with missing value patterns, inconsistently coded responses, and unlabelled variables produce unreliable analysis outputs and confuse any analyst who picks them up after the original data entry.
The cleaning covers SPSS Variable View configuration (measurement level, labels, value labels, missing value declarations), missing value imputation or exclusion using Multiple Imputation or listwise deletion as appropriate, Recode Into Different Variable for categorical derivations, Compute for numeric derivations, and FREQUENCIES and DESCRIPTIVES output for pre- and post-cleaning quality comparison.
This service suits researchers, academics, HR analysts, and market research teams preparing SPSS data files for statistical analysis, dissertation projects, or client reporting.
The cleaning covers SPSS Variable View configuration (measurement level, labels, value labels, missing value declarations), missing value imputation or exclusion using Multiple Imputation or listwise deletion as appropriate, Recode Into Different Variable for categorical derivations, Compute for numeric derivations, and FREQUENCIES and DESCRIPTIVES output for pre- and post-cleaning quality comparison.
This service suits researchers, academics, HR analysts, and market research teams preparing SPSS data files for statistical analysis, dissertation projects, or client reporting.
What the Freelancer needs to start the work
Please share your SPSS .sav files or raw data in Excel or CSV, a description of each variable and its intended values, your missing value conventions, any derived variables required, and the intended downstream analysis.