Summary JAMOVI for all tests (explanation + examples) | Premaster |Tilburg University | Endterm
11 views 1 purchase
Course
Statistics for PM CIS (800957B6)
Institution
Tilburg University (UVT)
How to use Jamovi for all your tests and examples for the endterm of Statistics. My lifesaver during the exam haha (since you can bring this on your USB-stick)
1. Descriptives........................................................................................................................ 2
1.1 Histogram................................................................................................................2
1.2 Descriptive statistics................................................................................................3
2. Contingency tables........................................................................................................4
3. Recoding and Computing variables...............................................................................6
3.1 Recoding a variable.................................................................................................6
3.2 Computing a variable...............................................................................................9
3.3 Extracting a subset of a data set...........................................................................11
4. Making graphs............................................................................................................. 14
4.1 Histogram, Box plot, Bar plot.................................................................................14
Example question - Histogram + Box plot...............................................................15
Example question - Bar plot....................................................................................16
Example question - Clustered bar chart..................................................................16
4.2 Scatterplot............................................................................................................. 17
Example question 1 - Scatterplot............................................................................18
Example question - Grouped scatterplot.................................................................19
5. Assumptions - examples..............................................................................................20
6. Checking Normality......................................................................................................21
7. Checking Homogeneity of variances............................................................................23
8. One-sample t-test in Jamovi........................................................................................24
9. Independent samples t-test in Jamovi..........................................................................27
11. Reliability analysis (= the calculation of Cronbach’s alpha)........................................32
12. One-Way ANOVA......................................................................................................35
12.1 Follow up tests....................................................................................................39
12.1.1 Post Hoc Tests.............................................................................................40
12.1.2 Planned Contrasts.......................................................................................42
12.2 ANOVA | Calculating effect sizes.............................................................................46
13. Factorial ANOVA in JAMOVI......................................................................................61
13.2 Follow-up | Main Effects | Planned contrasts.......................................................67
12.2 Follow-up | Main Effects | Post Hoc analysis.......................................................70
13.3 Follow-up | Interaction Effect | Simple Effect Analysis.........................................72
13.4 Report findings of a Factorial ANOVA.................................................................75
14. Pearson Chi-Square...................................................................................................76
, 14.1 χ2 test of association...........................................................................................77
14.3 Reporting Chi-Square..........................................................................................83
15.2 Running partial correlation with Jamovi...............................................................89
16. Regression................................................................................................................. 95
1. Descriptives
Frequencies of one or several variables (mostly categorical variables = nominal)
Instruction: "Analyses" > “Exploration” > “Descriptives”
1. Select the variable that you want to
analyze and move it to “Variables”
2. ✅ “Frequency tables” to display the
frequencies
1.1 Histogram
1. Move the variable into the 'Variables' column.
2. Click on 'Plots' and ✅ 'Histogram' under Histograms
, The bars in the graph show how often each category occurs (Y-axis). Remember, the numbers
on the X-axis (2, 4, 6) represent categories, not the actual number of hours studied.
For instance, this graph is not normally distributed. It's heavily skewed because many students
chose category 6, indicating "5 hours or more per week”.
1.2 Descriptive statistics
➔ ONLY scale-variables
➔ Calculating means, standard deviations, ranges etc.
'I am worried about failing the course' with a 5-point
scale (ranging from 'completely disagree' to
'completely agree')
Range = 4 (max - min: 5-1)
Mean (3.31) = moderately' worried
SD (.955) = .955 < 3.31 AND .995 > 3.31
SD: most students responded between options 2 & 4
Reporting descriptives
, In total, 94 respondents from 9 different countries completed the survey (21 males and 73
females). Their mean age was 22.40 years (SD = 3.88). Of these respondents, 12 did a language
related bachelor, 27 did a media related bachelor, and 55 did a different bachelor (or did not do a
bachelor yet). On average, respondents drink 5.8 units of alcohol per week (SD = 6.3) and
their average score to the question whether they are good at math is 3.15 (SD = 1.20).
Male respondents drink more units of alcohol per week (M = 8.6, SD = 6.5) than female
respondents (M = 4.9, SD = 6.0). Their mean score on the LexTale test of English was 74.35
(SD = 11.02).
2. Contingency tables
➔ Combining frequencies (statistics of 1 variable in terms of a 2nd
variable): e.g. how many of the boys are bachelors.
Option 1
1. Analyses ➔ Frequencies
➔ Independent Samples
2. Enter variables into ‘Rows’ and ‘Columns’
Which one you put in the Rows and which
one in Columns is irrelevant, the
information is identical.
4 van 58
30
29
The benefits of buying summaries with Stuvia:
Guaranteed quality through customer reviews
Stuvia customers have reviewed more than 700,000 summaries. This how you know that you are buying the best documents.
Quick and easy check-out
You can quickly pay through credit card or Stuvia-credit for the summaries. There is no membership needed.
Focus on what matters
Your fellow students write the study notes themselves, which is why the documents are always reliable and up-to-date. This ensures you quickly get to the core!
Frequently asked questions
What do I get when I buy this document?
You get a PDF, available immediately after your purchase. The purchased document is accessible anytime, anywhere and indefinitely through your profile.
Satisfaction guarantee: how does it work?
Our satisfaction guarantee ensures that you always find a study document that suits you well. You fill out a form, and our customer service team takes care of the rest.
Who am I buying these notes from?
Stuvia is a marketplace, so you are not buying this document from us, but from seller julia_little. Stuvia facilitates payment to the seller.
Will I be stuck with a subscription?
No, you only buy these notes for $5.08. You're not tied to anything after your purchase.