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4 de abr. de 2017 · Nessa aula, veremos como fazer o teste de Mann-Whitney, o teste não-paramétrico correspondente ao teste-t independente. Te explico também como analisar os resultados e reportá-los. ...more.
- 5 min
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- Fernanda Peres
28 de jul. de 2023 · Uma explicação simples de como realizar um teste U de Mann-Whitney no SPSS, incluindo exemplos passo a passo.
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- 7 min
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- LEPP-Saúde LEPP-Saúde
- Research Question
- Quick Data Check - Split Histograms
- Split Histograms - Syntax
- Split Histograms - Results
- SPSS Mann-Whitney Test - Menu
- SPSS Mann-Whitney Test - Output Descriptive Statistics
- SPSS Mann-Whitney Test - Output Significance Tests
- SPSS Mann-Whitney Test - Conclusions
We'll use adratings.sav during this tutorial, a screenshot of which is shown above. These data contain the ratings of 3 car commercials by 18 respondents, balanced over gender and age category. Our research question is whether men and women judge our commercials similarly. For each commercial separately, our null hypothesis is:“the mean ratings of ...
Before running any significance tests, let's first just inspect what our data look like in the first place. A great way for doing so is running some histograms. Since we're interested in differences between male and female respondents, let's split our histograms by gender. The screenshots below guide you through.
Using the menu results in the first block of syntax below. We copy-paste it twice, replace the variable name and run it.
Most importantly, all results look plausible; we don't see any unusual values or patterns. Second, our outcome variables don't seem to be normally distributed and we've a total sample size of only n = 18. This argues against using a t-test for these data. Finally, by taking a good look at the split histograms, you can already see which commercials ...
Depending on your SPSS license, you may or may not have the Exactsubmenu available. If you don't have it, just skip the step below.
The Mann-Whitney test basically replaces all scores with their rank numbers: 1, 2, 3 through 18 for 18 cases. Higher scores get higher rank numbers. If our grouping variable (gender) doesn't affect our ratings, then the mean ranks should be roughly equalfor men and women. Our first commercial (“Family car”) shows the largest difference in mean rank...
Some of the output shown below may be absent depending on your SPSS license and the sample size: for n = 40 or fewer cases, you'll always get some exact results. Mann-Whitney U and Wilcoxon W are our test statistics; they summarize the difference in mean rank numbers in a single number.*Note that Wilcoxon W corresponds to the smallest sum of rank n...
Like we just saw, SPSS Mann-Whitney test output may include up to 3 different 2-sided p-values. Fortunately, they all lead to the same conclusion if we follow the convention of rejecting the null hypothesis if p < 0.05:Women rated the “Family Car” commercial more favorably than men (p = 0.001). The other two commercials didn't show a gender differe...
Qual é o seu objetivo? Os objetivos lhe permitem especificar rapidamente configurações de teste diferentes, mas usadas frequentemente. Comparar automaticamente distribuições ao longo de grupos. Esse objetivo aplica-se ao teste U de Mann-Whitney para dados com 2 grupos ou ao ANOVA de 1 via de Kruskal-Wallis para dados com grupos k .
Escolher automaticamente os testes com base nos dados. Essa configuração aplica-se ao teste U de Mann-Whitney para dados com 2 grupos ou ao ANOVA de 1 via de Kruskal-Wallis para dados com grupos k . Customizar testes. Essa configuração permite que você escolha testes específicos a serem executados. Comparar Distribuições ao longo de Grupos.
3 de jan. de 2022 · Você conhece o teste de Mann-Whitney? Ele é um teste não paramétrico utilizado quando se deseja comparar dois grupos independentes. Ficou com dúvidas?
- 9 min
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- Prof. Júlio - Administração para concursos
