From scale reliability to full survey statistics — a ready skill for every analysis step.
Deep Skill Finder
Sound familiar?
My advisor asked for a reliability check and I still cannot tell which number in the SPSS output is alpha
Reddit · r/gradschool
300 survey responses in, and I am re-importing the same data into four different tools for validity, factors and open ends
X · PhD life
Reviewer two rejected the paper over measurement issues and I honestly do not know which items to drop
GitHub · academic writing thread
Real voices scattered across Reddit / Hacker News / X / dev forums — stitched together, this is what people go through when doing "survey scale reliability and validity analysis".
Lazy path · recommended
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3 Analysis Stages × Real Skills
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Scale Reliability & Validity
Cronbach's alpha, CR and AVE in one pass
For anyone who owes a committee a reliability table
Everyday statistical tests out of the box — no more juggling exports between tools
652+ users
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FAQ
Q: What does reliability analysis actually test?
A: Whether your scale measures consistently. Cronbach's alpha above 0.7 is the usual bar; scale-reliability-validity also outputs composite reliability and AVE so the table is thesis-ready.
Q: Can I do reliability analysis without SPSS?
A: Yes. Hand your data (Excel/CSV) to an agent with these skills installed and ask for a reliability check — it runs alpha and explains every output table, faster than hunting through menus.
Q: What alpha counts as acceptable?
A: 0.7 is the common threshold, 0.8 is good. Item count inflates alpha, so check corrected item-total correlations before dropping items — psychometrics suggests purification instead of blind deletion.
Q: Are reliability and validity the same thing?
A: No. Reliability is consistency, validity is accuracy. A complete report needs both: scale-reliability-validity covers convergent and discriminant validity plus HTMT in the same run.
Q: What format should my data be in?
A: A wide table with one row per respondent and one column per item, Excel or CSV. Reverse-scored items should be recoded first — or tell the skill to detect them.
Q: Will my survey data leave my machine?
A: Skills run in your local skill directory and the analysis is executed by your agent; whether anything hits a cloud model depends on your agent setup. For sensitive data, use a local model and anonymize first.