ChatSPSS
The homepage does not list a price
Editor Review
After the table is uploaded, the research question is described in chat, and the output follows tables common in theses and questionnaires rather than only a pivot. Three-line tables come with a written interpretation. Difference tests cover mean comparisons, variance, chi-square, and nonparametric tests. Scale research lists reliability plus exploratory and confirmatory factor analysis. Advanced parts add logistic regression, mediation, moderation, and clustering. It fits people writing a thesis or running market research who already have tabular data. Statistical assumptions still need the normality and collinearity checks the page provides. It does not finish the defense for you.
What is ChatSPSS
ChatSPSS, from Chengdu Ziranzhi Technology, is a conversational statistics tool in the browser. Users upload a comma-separated table, a spreadsheet, a statistics package file, or another statistics data file, or they describe the research question directly. It runs descriptive statistics, difference tests, correlation and regression, scale reliability and validity, and mediation or moderation, then produces three-line tables, charts, and a written interpretation. The page names questionnaires, theses, market research, satisfaction studies, and user profiles as uses. The homepage does not list a price.
Basic Info
Best For
Difficulty: Intermediate
ChatSPSS Key Features
Upload several statistics files
Upload a comma-separated table, a spreadsheet, a statistics package file, and another statistics data file, or only describe the research question.
Difference and relationship tests
Includes mean comparisons, paired comparisons, variance analysis, chi-square, nonparametric tests, plus correlation, regression, stepwise regression, and hierarchical regression.
Scale reliability and validity
Runs internal-consistency reliability plus exploratory and confirmatory factor analysis for questionnaires and scales.
Mediation, moderation, and regression
Offers binary, multinomial, and ordinal logistic regression, plus bootstrap mediation, moderation, and clustering.
Three-line tables and diagnostic charts
Automatically builds three-line tables and a written interpretation, plus normality, collinearity, receiver-operating curves, and box, scatter, and heat charts.
ChatSPSS Key Advantages
- Comma-separated tables, spreadsheets, and two statistics package formats upload in the browser, without installing traditional statistics software first
- Difference tests, regression, reliability and validity, and mediation or moderation are listed as methods common in papers
- Results include three-line tables, a written interpretation, and diagnostic charts such as normality and collinearity
- The stated uses cover questionnaires, thesis statistics, market research, satisfaction studies, and user profiles
ChatSPSS Use Cases
Produce tables for a thesis
A student uploads survey data, specifies variance or regression in chat, and gets a three-line table plus a paragraph for the results chapter.
See drivers in market research
A researcher uses correlation, regression, or moderation to describe the link between satisfaction and purchase intent, then exports the charts.
Check a scale before further tests
A questionnaire designer first runs internal consistency and factor analysis, confirms the item structure, then continues to difference tests.
Frequently Asked Questions
▶Can it be used without traditional statistics software installed?
Yes, it can be done in the browser. The site says to upload a comma-separated table, a spreadsheet, or a statistics package file, or to describe the research question, then generate a three-line table and an interpretation. It does not move every menu of traditional software onto the web. It follows the listed descriptive statistics, difference tests, regression, reliability and validity, and mediation or moderation. The homepage does not say how long the original file is kept.
▶Which analysis should a questionnaire scale run first?
The page places reliability and validity in their own scale-research section. Reliability maps to internal consistency, and validity maps to exploratory and confirmatory factor analysis. Difference tests and regression can follow. For mediation or moderation, the list includes bootstrap mediation and moderation. Whether the items suit these methods still depends on the tutorials' notes about assumptions. One table is not enough.
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