Qualitative statistics: In a retrospective pre-test survey, used to evaluate the effect of an intervention (an information pamphlet), is there some standard, qualitative method one may use to present, analyse or even correlate the various pre/post changes to other demographic variables as per sampled candidate? In other words, can one avoid POOLING the PRE vs POST results (and thereby avoid using quantitative statistics)? An extensive presentation of the overall issue with pertinent quantitatvie statistics remarks has been made here.
(https://www.researchgate.net/post/Can_someone_help_with_Statistics_Likert_survey_pre_post_interventional_comparison_one-time_question_answering_session_multi-dependent_variables?_tpcectx=profile_highlights)
Many thanks to all those taking the time to read through!
Hi Georgios,
my PhD dissertation has what you may be looking for but it's in Spanish. See if it helps,
Laura
Thesis La Simulación y Juego en el Desarrollo de las Destrezas de P...
Dear Dr Laura ANGELINI,
I wish to thank you for sharing your thesis.
Indeed, I do not understand Spanish, but this not the only handicap in this statistical issue of mine, in which I have no particular specialisation.
Nevertheless, a bit of French and Latin helped me find pertinent areas in your work:
pg 126 (160/528)
5.4 Resources for qualitative analysis
as well as an open question survey
Pg 245 (276/528)
and
Pg 256 (290/528)
Qualitative analysis of various subjects' perceptions
Unfortunately, and unless my ignorance on the subject contributed to my missing out something, I do not think I managed to isolate some "qualitative" COMPARISON, PER subject, of a BEFORE vs AFTER state according to PRE-DEFINED LIKERT survey items.
I will of course discuss your generous indications with local statisticians.
As such, I thank you once again, and wish you all the best, health an peace, during this Christmas season.
Georgios
Bivariate hypotheses
1. Likert scale data: ORDINAL. Chi Square (tables), Spearman's rho and others non-parametric analysis
2. Nominal data. NOMINAL. Chi Square (tables) and others non-parametric analysis
3. Some numeric data(e.g. study time, speaking time etc. METRIC SCALES. Pearson product-moment correlation coefficient, Spearman's rho.
4. Nominal (2) amb metric scale. t test and non-parametric analysis.
5. Nominal (>2) or ordinal, and metric scale. ANOVA and non-parametric analysis.
6. Ordinal and metric scale. Spearman's rho...
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