JAMOVI - INSTRUCTIONS + REPORTING + EXAMPLES
nominal’ with ‘Integer’ data type
‘nominal’ with ‘Text’ data type
‘scale/ratio’ variables
‘ordinal’ variables
‘ID’ (for example for participant number).
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.
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nominal’ with ‘Integer’ data type
‘nominal’ with ‘Text’ data type
‘scale/ratio’ variables
‘ordinal’ variables
‘ID’ (for example for participant number).
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
