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Data for the manuscript examples

Source: R/wsmed_examples.R
wsmed_examples.Rd

The prepared analysis data used in the three wsMed manuscript examples, derived from the iWeek study deposited by Sagaribay (2025). Each row is one participant; T1 and T2 denote measurements before and after the study period. The examples use T2 minus T1 as the within-person contrast.

Usage

wsmed_examples

Format

A data frame with 123 rows and 14 numeric columns:

TSRQ_T1, TSRQ_T2

Autonomous motivation scores at T1 and T2.

WEMBS_T1, WEMBS_T2

Subjective well-being scores at T1 and T2.

SMUF_T1, SMUF_T2

Daily social media use scores at T1 and T2.

ISI_T1, ISI_T2

Insomnia severity scores at T1 and T2.

DASSS_T1, DASSS_T2

DASS stress-subscale scores at T1 and T2, each calculated as the sum of the seven stress items.

HES_T1, HES_T2

Healthy eating scores at T1 and T2.

Age

Age in years.

BMI

Body mass index, recalculated from weight in pounds and height in inches using 703 * weight / height^2.

Source

Sagaribay, R. (2025). iWeek: A Week-Long Social Media Abstinence Intervention and its Impact on Well-Being, Mental Health, Body Image, and Sleep in Latina College Students. Mendeley Data, version 1. doi:10.17632/fn9n95bsh5.1 . License: https://creativecommons.org/licenses/by/4.0/.

Details

Score columns retain their prepared source values without rescaling or standardization. The original dataset contains 221 participants: 123 in the iWeek intervention group and 98 in the control group. This prepared dataset retains the 123 intervention-group participants. The wsMed examples illustrate within-person mediation using their paired T1/T2 measurements; they do not reproduce the original study's group comparison.

The manuscript authors retained the 14 analysis columns and recalculated BMI. Height values outside the preparation rule of 48–84 inches, including ambiguous units, were not converted by guesswork. BMI remains missing for 13 such records. No further participants were removed, no values were imputed, and no additional cleaning is performed when creating this package dataset. SPSS storage attributes are omitted; numerical values, row order, and missing positions match the prepared wsMed_examples.sav replication file.

Across these 14 columns, 55 participants (44.7 percent) have at least one missing value, with 146 missing cells in total. Missing counts for paired T1/T2 columns are TSRQ: 1/22; WEMBS: 0/22; SMUF: 8/18; ISI: 0/19; DASSS: 0/23; HES: 0/20. Age is complete and BMI has 13 missing values. Counts for an individual analysis depend on the variables it selects.

In Examples 1 and 3, TSRQ, WEMBS, and SMUF are mediators; in Example 2, WEMBS and ISI precede TSRQ. DASSS is the outcome, HES is a within-subject covariate, and BMI is a between-subject covariate. Age is a covariate in Examples 1 and 2 and the moderator in Example 3.

The source data and this prepared derivative are distributed under CC BY 4.0, separately from the package code's GPL license. Attribution and modification information are also installed in COPYRIGHTS.

See also

example_data(), wsMed(), wsmed_fit()

Examples

data(wsmed_examples)
dim(wsmed_examples)
#> [1] 123  14
colSums(is.na(wsmed_examples))
#>  TSRQ_T1  TSRQ_T2 WEMBS_T1 WEMBS_T2  SMUF_T1  SMUF_T2   ISI_T1   ISI_T2 
#>        1       22        0       22        8       18        0       19 
#> DASSS_T1 DASSS_T2   HES_T1   HES_T2      Age      BMI 
#>        0       23        0       20        0       13 
sum(!complete.cases(wsmed_examples))
#> [1] 55