mmLSTrf_RealDataExample: Dataset mmLSTrf_RealDataExample
In amayer2010/lsttheory: Latent State-Trait Theory
mmLSTrf_RealDataExample R Documentation
Dataset mmLSTrf_RealDataExample
Description
This dataset is a subsample from a larger longitudinal study assessing the
Big Five personality traits in both offline (real-world) and online (digital)
contexts. Data were collected using the self- and other-rating versions of
the Big Five Inventory-2 (BFI-2; Soto and John, 2017b) at two measurement
occasions, with an average interval of 11 days.
Format
A data frame with 425 rows and 24 variables
Details
From this broader study, six self-rated items measuring the dimension of
Negative Emotionality (N) were selected. These chosen items correspond to
those of the short version of the BFI-2 (BFI-2-S; Soto and John, 2017a) and
are rated on a five-point Likert scale. Three of the items are true-keyed,
and three are false-keyed.
The six items are listed below; the false-keyed are marked with “*”.
NAt. Worries a lot.
NDt. Tends to feel depressed, blue.
NVf. Is emotionally stable, not easily upset*.
NAf. Is relaxed, handles stress well*.
NDf. Feels secure, comfortable with self*.
NVt. Is temperamental, gets emotional easily.
Each item exists in four versions in the dataset, resulting in a total
of 24 variables. Items assessing Negative Emotionality in the offline
context are labeled with the prefixes “Of1_” (measurement occasion
one) and “Of2_” (measurement occasion two), while those in the online
context are labeled “On1_” and “On2_” respectively.
The resulting dataset reflects a study design with two fixed situations
(offline and online), two measurement occasions, two measurement methods
(true- and false-keyed), and three indicators per method (true-keyed:
NAt, NDt, NVt; false-keyed: NAf, NDf, NVf).
Note: The dataset contains missing values.
amayer2010/lsttheory documentation built on June 10, 2025, 9:29 p.m.
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| mmLSTrf_RealDataExample | R Documentation |
Dataset mmLSTrf_RealDataExample
Description
This dataset is a subsample from a larger longitudinal study assessing the Big Five personality traits in both offline (real-world) and online (digital) contexts. Data were collected using the self- and other-rating versions of the Big Five Inventory-2 (BFI-2; Soto and John, 2017b) at two measurement occasions, with an average interval of 11 days.
Format
A data frame with 425 rows and 24 variables
Details
From this broader study, six self-rated items measuring the dimension of Negative Emotionality (N) were selected. These chosen items correspond to those of the short version of the BFI-2 (BFI-2-S; Soto and John, 2017a) and are rated on a five-point Likert scale. Three of the items are true-keyed, and three are false-keyed.
The six items are listed below; the false-keyed are marked with “*”.
NAt. Worries a lot.
NDt. Tends to feel depressed, blue.
NVf. Is emotionally stable, not easily upset*.
NAf. Is relaxed, handles stress well*.
NDf. Feels secure, comfortable with self*.
NVt. Is temperamental, gets emotional easily.
Each item exists in four versions in the dataset, resulting in a total of 24 variables. Items assessing Negative Emotionality in the offline context are labeled with the prefixes “Of1_” (measurement occasion one) and “Of2_” (measurement occasion two), while those in the online context are labeled “On1_” and “On2_” respectively.
The resulting dataset reflects a study design with two fixed situations (offline and online), two measurement occasions, two measurement methods (true- and false-keyed), and three indicators per method (true-keyed: NAt, NDt, NVt; false-keyed: NAf, NDf, NVf).
Note: The dataset contains missing values.
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