Datasets

Use the button below to download all datasets used in this primer. Note that these datasets have been either simulated or synthesized and therefore are not to be used to test substantive research hypotheses.

Descriptions

Executive Function

The executive.function dataset is a single-cohort longitudinal design, consisting of \(342\) adolescents, ages \(11.74 - 15.33\), assessed annually across \(4\) waves. The repeated measures of interest are DLPFC activation during an executive function task (dlpfc*) and behavioral scores on that task (ef*). Additional variables include time-invariant covariates, self-identified sex (sex) and assigned treatment group (tx), as well as age at observation (age*). A subset of this dataset is used as the single.cohort data in Chapter 3.

Feedback Learning

The feedback.learning dataset is an accelerated longitudinal design, consisting of \(297\) young people, ages \(8.01 - 28.72\), assessed annually across \(3\) waves. The repeated measures of interest are brain network modularity (modularity) and behavioral performance (learning.rate) during a feedback learning task. Additional variables include the time-invariant covariate of self-identified sex (male) and time-varying covariates including, wave of assessment (wave), pubertal status (puberty), and IQ (iq). This dataset is used as the accelerated dataset in Chapter 3. These data were synthesized from data analyzed in McCormick et al., 2021. the real data used in that manuscript is provided in the supplemental material.

Externalizing and Math

The external.math dataset is a multiple-cohort longitudinal design, consisting of \(405\) adolescents, ages \(6 - 14\), measured bi-annually across \(4\) waves. The repeated measures of interest are measures of externalizing behavior (ext*) and math achievement (math*).

Adversity

The adversity dataset is a multiple-cohort longitudinal design, consisting of \(398\) children, ages \(4 - 11\), measured bi-annually across \(4\) waves. The repeated measure of interest is the white matter fractional anisotropy of the forceps minor tract (fmin*). Additional variables include a set of time-invariant covariates: self-identifed sex (sex), experiences of early-childhood abuse (abuse), experiences of early-childhood neglect (neglect), levels of early-childhood parental warmth (warmth), and four measures of cognitive stimulation (cog*). This dataset is used as the multiple.cohort dataset in Chapter 3.

Trials

The trials dataset contains trial-level responses from the feedback learning task that was used in the feedback.learning dataset. The repeated measures include \(7\) trials for \(297\) individuals.

Achieve

The achieve dataset is a single-cohort longitudinal design, consisting of \(1237\) adolescents, ages \(12 - 17\), sampled across \(4\) waves from \(41\) schools in \(5\) geographic locations (site). The repeated measures of interest include math (math) and science (sci) achievement scores. The dataset includes an additional time-invariant covariate of self-identified sex (male).