2
2.0
Sep 12, 2021
09/21
by
Tera D. Letzring; Jacob Hubers; Sheherezade Krzyzaniak; Jeremy C. Biesanz; Judith Allen Hall
data
eye 2
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comment 0
This registration is for new hypotheses and the data analysis plan for 4 existing data sets. The data sets were collected to test the State and Trait Accuracy Model (see Hall, Gunnery, Letzring, Carney, & Colvin, 2017; Letzring & Funder, 2019). Registrations for those studies can be found at https://osf.io/x25kh, https://osf.io/6hvyd, https://osf.io/fek2j, and https://osf.io/ynve2. The registered analyses will examine how characteristics of judge-participants, who observed recorded...
Source: https://osf.io/rakmt/
1
1.0
Sep 11, 2021
09/21
by
Tera D. Letzring; Judith Allen Hall; Jeremy C. Biesanz; Sheherezade Krzyzaniak
data
eye 1
favorite 0
comment 0
This study will examine how validity of affect cues affects accuracy in judging traits and affect. Congruent vs incongruent affect was determined based on the match between self-reported affect and the average of four coders' perceptions of that individual's affect. Congruent affect meant that the self-reported affect was more in line with the coded affect, while incongruent affect meant that these two things were very different. Congruent affect indicates that the emotion a person is...
Source: https://osf.io/fek2j/
1
1.0
Sep 8, 2021
09/21
by
Tera D. Letzring; Judith Allen Hall; Jeremy C. Biesanz; Sheherezade Krzyzaniak
data
eye 1
favorite 0
comment 0
This study will examine how the domain of focus (e.g., affective states or personality traits) influences accuracy. The prediction is that judges who focus on affect will achieve higher accuracy for traits than judges who focus on traits. This is consistent with STAM, but counterintuitive because it is natural to think that focusing on traits would result in more accurate trait judgments, and therefore this is a strong test of the State and Trait Accuracy Model. The rationale is that focusing...
Source: https://osf.io/4zt8n/
3
3.0
Aug 20, 2021
08/21
by
Tera D. Letzring; Judith Allen Hall; Jeremy C. Biesanz; Sheherezade Krzyzaniak
data
eye 3
favorite 0
comment 0
Source: https://osf.io/tzfsu/
1
1.0
Aug 20, 2021
08/21
by
Tera D. Letzring; Judith Allen Hall; Jeremy C. Biesanz; Sheherezade Krzyzaniak
data
eye 1
favorite 0
comment 0
Transcripts of the stimulus videos used in the STAM studies were read by judges who then made ratings of personality for the target person in each transcript. Accuracy based on reading transcripts will be compared to accuracy based on observing videos, and stimuli with similar levels of accuracy will be used in the third STAM project study.
Source: https://osf.io/deup4/
1
1.0
Sep 12, 2021
09/21
by
Tera D. Letzring; Judith Allen Hall; Jeremy C. Biesanz; Sheherezade Krzyzaniak
data
eye 1
favorite 0
comment 0
This is the fourth study in a 4-study sequence. This study will examine how the domain of focus (e.g., affective states or personality traits) influences accuracy. The prediction is that judges who focus on affect will achieve higher accuracy for traits than judges who focus on traits. This is consistent with STAM, but counterintuitive because it is natural to think that focusing on traits would result in more accurate trait judgments, and therefore this is a strong test of the State and Trait...
Source: https://osf.io/ynve2/
