Results

Distractor analysis

Number of items is not equal to the length of key.

Instructions

____________________________________________________________________________________

1. Enter the correct answer separated by commas, but there must be no spaces between commas.

2. By a rule of thumb, all items with a discrimination lower than 0.2 (threshold in the plot), should be checked for content.

3. Feature requests and bug reports can be made on the GitHub.

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Counts of respondents

Item V3
		lower		middle		upper

Item V4
		lower		middle		upper

Item V5
		lower		middle		upper

Item V6
		lower		middle		upper

Item V7
		lower		middle		upper

Item V8
		lower		middle		upper

[3]

[4]

Distractor analysis

Number of items is not equal to the length of key.

Instructions

____________________________________________________________________________________

1. Enter the correct answer separated by commas, but there must be no spaces between commas.

2. By a rule of thumb, all items with a discrimination lower than 0.2 (threshold in the plot), should be checked for content.

3. Feature requests and bug reports can be made on the GitHub.

____________________________________________________________________________________

Counts of respondents

Item V3
		lower		middle		upper

Item V4
		lower		middle		upper

Item V5
		lower		middle		upper

Item V6
		lower		middle		upper

Item V7
		lower		middle		upper

[3]

[4]

Distractor analysis

Instructions

____________________________________________________________________________________

1. Enter the correct answer separated by commas, but there must be no spaces between commas.

2. By a rule of thumb, all items with a discrimination lower than 0.2 (threshold in the plot), should be checked for content.

3. Feature requests and bug reports can be made on the GitHub.

____________________________________________________________________________________

Counts of respondents

Item V3
	lower	middle	upper
1	2	0	0
2	6	0	0
*3	7	6	3
4	0	0	0
5	0	0	0
0	0	0	0

Item V4
	lower	middle	upper
1	4	0	0
2	6	1	0
*3	5	5	3
4	0	0	0
5	0	0	0
0	0	0	0

Item V5
	lower	middle	upper
*1	8	4	3
2	3	1	0
3	4	1	0
4	0	0	0
5	0	0	0
0	0	0	0

Item V6
	lower	middle	upper
1	1	0	0
2	0	0	0
*3	9	6	3
4	5	0	0
5	0	0	0
0	0	0	0

Item V7
	lower	middle	upper
1	0	0	0
2	0	0	0
3	1	0	0
*4	14	6	3
5	0	0	0
0	0	0	0

Item V9
	lower	middle	upper
1	0	0	0
2	2	1	0
3	2	0	0
*4	9	4	3
5	2	1	0
0	0	0	0

Item V8
	lower	middle	upper
1	0	0	0
2	1	0	0
3	0	0	0
*4	14	6	3
5	0	0	0
0	0	0	0

Item V10
	lower	middle	upper
1	1	0	0
*2	10	5	3
3	1	0	0
4	1	0	0
5	1	1	0
0	1	0	0

[3]

Proportions of respondents

Item V3
	Lower	Middle	Upper
1	0.133	0.00	0.00
2	0.400	0.00	0.00
*3	0.467	1.00	1.00
4	0.000	0.00	0.00
5	0.000	0.00	0.00
0	0.000	0.00	0.00

Item V4
	Lower	Middle	Upper
1	0.267	0.000	0.00
2	0.400	0.167	0.00
*3	0.333	0.833	1.00
4	0.000	0.000	0.00
5	0.000	0.000	0.00
0	0.000	0.000	0.00

Item V5
	Lower	Middle	Upper
*1	0.533	0.667	1.00
2	0.200	0.167	0.00
3	0.267	0.167	0.00
4	0.000	0.000	0.00
5	0.000	0.000	0.00
0	0.000	0.000	0.00

Item V6
	Lower	Middle	Upper
1	0.0670	0.00	0.00
2	0.0000	0.00	0.00
*3	0.6000	1.00	1.00
4	0.3330	0.00	0.00
5	0.0000	0.00	0.00
0	0.0000	0.00	0.00

Item V7
	Lower	Middle	Upper
1	0.0000	0.00	0.00
2	0.0000	0.00	0.00
3	0.0670	0.00	0.00
*4	0.9330	1.00	1.00
5	0.0000	0.00	0.00
0	0.0000	0.00	0.00

Item V9
	Lower	Middle	Upper
1	0.000	0.000	0.00
2	0.133	0.167	0.00
3	0.133	0.000	0.00
*4	0.600	0.667	1.00
5	0.133	0.167	0.00
0	0.000	0.000	0.00

Item V8
	Lower	Middle	Upper
1	0.0000	0.00	0.00
2	0.0670	0.00	0.00
3	0.0000	0.00	0.00
*4	0.9330	1.00	1.00
5	0.0000	0.00	0.00
0	0.0000	0.00	0.00

Item V10
	Lower	Middle	Upper
1	0.0670	0.000	0.00
*2	0.6670	0.833	1.00
3	0.0670	0.000	0.00
4	0.0670	0.000	0.00
5	0.0670	0.167	0.00
0	0.0670	0.000	0.00

[3]

Summary

Item V3
Correct	Response	Frequency	Proportion
	1	2	0.0833
	2	6	0.2500
*	3	16	0.6667
	4	0	0.0000
	5	0	0.0000
	0	0	0.0000

Item V4
Correct	Response	Frequency	Proportion
	1	4	0.167
	2	7	0.292
*	3	13	0.542
	4	0	0.000
	5	0	0.000
	0	0	0.000

Item V5
Correct	Response	Frequency	Proportion
*	1	15	0.625
	2	4	0.167
	3	5	0.208
	4	0	0.000
	5	0	0.000
	0	0	0.000

Item V6
Correct	Response	Frequency	Proportion
	1	1	0.0417
	2	0	0.0000
*	3	18	0.7500
	4	5	0.2083
	5	0	0.0000
	0	0	0.0000

Item V7
Correct	Response	Frequency	Proportion
	1	0	0.0000
	2	0	0.0000
	3	1	0.0417
*	4	23	0.9583
	5	0	0.0000
	0	0	0.0000

Item V9
Correct	Response	Frequency	Proportion
	1	0	0.0000
	2	3	0.1250
	3	2	0.0833
*	4	16	0.6667
	5	3	0.1250
	0	0	0.0000

Item V8
Correct	Response	Frequency	Proportion
	1	0	0.0000
	2	1	0.0417
	3	0	0.0000
*	4	23	0.9583
	5	0	0.0000
	0	0	0.0000

Item V10
Correct	Response	Frequency	Proportion
	1	1	0.0417
*	2	18	0.7500
	3	1	0.0417
	4	1	0.0417
	5	2	0.0833
	0	1	0.0417

[3]

Item difficulty and discrimination index
Item	Difficulty	ULI	RIT	RIR
V3	0.667	0.625	0.551	0.27217
V4	0.542	0.750	0.619	0.34229
V5	0.625	0.125	0.244	-0.08121
V6	0.750	0.500	0.610	0.37582
V7	0.958	0.125	0.128	-0.00585
V9	0.667	0.375	0.315	0.00000
V8	0.958	0.125	0.406	0.28590
V10	0.750	0.500	0.675	0.46291
Note. ULI:Upper-Lower Index, RIT:Item-Total correlation, RIR: Item-Rest correlation.

[5]

Histogram of total score

[5]

Distractor plot

[5]

[4]

References

[1] The jamovi project (2022). jamovi. (Version 2.3) [Computer Software]. Retrieved from https://www.jamovi.org.

[2] R Core Team (2021). R: A Language and environment for statistical computing. (Version 4.1) [Computer software]. Retrieved from https://cran.r-project.org. (R packages retrieved from MRAN snapshot 2022-01-01).

[3] Willse, J. (2018). CTT: Classical Test Theory Functions. (Version 2.3.3)[R package]. Retrieved from https://CRAN.R-project.org/package=CTT.

[4] Seol, H. (2023). snowIRT: Item Response Theory for jamovi. (Version 4.8.8)[jamovi module]. URL https://github.com/hyunsooseol/snowIRT.

[5] Martinkova, P., & Drabinova, A. (2018). ShinyItemAnalysis: for teaching psychometrics and to enforce routine analysis of educational tests. (Version 1.4.2)[R package]. Retrieved from https://CRAN.R-project.org/package=ShinyItemAnalysis.