triplet_example_data: Example Triplet Response Data
In tspsyched/autoFC: Automatic Construction of Forced-Choice Tests
triplet_example_data R Documentation
Example Triplet Response Data
Description
Responses to a 5-block triplet forced-choice measure,
converted into pairwise comparisons. This dataset originates from Li et al.'s
(in press) study on forced-choice measurement.
Usage
triplet_example_data
Format
A data frame with 541 rows and 15 columns.
- i1i2, i1i3, i2i3, ... i14i15
All possible pairwise comparisons among items in the same block. With a triplet format, each block contains three items, producing three possible pairwise comparisons among these items.
Therefore, i1, i2, and i3 belong to block 1, and so on.
i1i2 represents the pairwise comparison indicating whether i1 is preferable over i2.
If i1 is preferable over i2, then i1i2 = 1, else i1i2 = 0.
Source
https://osf.io/yvpz3/?view_only=08601755f471440b80973194571b60bd
References
Li, M., Zhang, B., Li, L., Sun, T., & Brown, A., (in press). Mixed-Keying or Desirability-Matching in the Construction of Forced-Choice Measures? An Empirical Investigation and Practical Recommendations. Organizational Research Methods.
tspsyched/autoFC documentation built on Oct. 8, 2024, 10:39 p.m.
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| triplet_example_data | R Documentation |
Example Triplet Response Data
Description
Responses to a 5-block triplet forced-choice measure, converted into pairwise comparisons. This dataset originates from Li et al.'s (in press) study on forced-choice measurement.
Usage
triplet_example_data
Format
A data frame with 541 rows and 15 columns.
- i1i2, i1i3, i2i3, ... i14i15
All possible pairwise comparisons among items in the same block. With a triplet format, each block contains three items, producing three possible pairwise comparisons among these items. Therefore, i1, i2, and i3 belong to block 1, and so on.
i1i2 represents the pairwise comparison indicating whether i1 is preferable over i2. If i1 is preferable over i2, then i1i2 = 1, else i1i2 = 0.
Source
https://osf.io/yvpz3/?view_only=08601755f471440b80973194571b60bd
References
Li, M., Zhang, B., Li, L., Sun, T., & Brown, A., (in press). Mixed-Keying or Desirability-Matching in the Construction of Forced-Choice Measures? An Empirical Investigation and Practical Recommendations. Organizational Research Methods.
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