iiinova — where your digital self keeps evolving

Amanda J. Wright @ajwright.bsky.social · 06/10/2026

Had a great day giving a talk for the I-O Brown Bag at Rice University 🙂 (added bonus that I also had some wonderful campus tour guides!)

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Amanda J. Wright @ajwright.bsky.social · 25/09/2026

3) We used ESM/daily/weekly measures to more closely examine change + test if it occurs in a bottom-up/top-down manner. Cross-time changes predicted each other; BU effects often exceeded TD; & intervention groups had larger coupled effects than the active control (doi.org/10.31234/osf.io/jxg3n_v3)

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Amanda J. Wright @ajwright.bsky.social · 25/09/2026

2) For CHILL, we created groups based on shared mechanisms in TONS to see what was most effective. State strategies = larger initial yet briefer effects; habit strategies = smaller initial declines that grew over time. Targeting behaviors = notable declines across measures (doi.org/10.1177/0956...)

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Amanda J. Wright @ajwright.bsky.social · 25/09/2026

1) We reviewed nonclinical neuroticism interventions & created the Taxonomy of Neuroticism Strategies (TONS). It organizes 19 strategies by whether they target the state/habit/trait level; affective/behavioral/cognitive aspects; and do so in a top-down or bottom-up manner. (doi.org/10.1177/2700...)

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Amanda J. Wright @ajwright.bsky.social · 25/09/2026

Since our paper on the Changing How I Live Life (CHILL) Study is now out in Psychological Science (doi.org/10.1177/0956...), here's a LONG overdue post on the intervention work we've been doing the past few years! Have you ever wanted to change one of your personality traits?

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Amanda J. Wright @ajwright.bsky.social · 25/07/2026

Had a wonderful time at ECP in Edinburgh this past week! I got to see/catch up with so many friends, heard a ton of great talks by researchers of all career stages, & had the chance to present our (forthcoming) paper on cross-timescale, intervention-driven neuroticism change :-)

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Amanda J. Wright @ajwright.bsky.social · 05/09/2025

What'd we find? (continued) 2) Life events were related to personality development, but almost exclusively for personality functioning We believe this suggests that personality functioning is more susceptible to external influences than most Big Five traits

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Amanda J. Wright @ajwright.bsky.social · 05/09/2025

What'd we find? 1) Unconditional development of all constructs was generally very similar, but there were some interesting trait- & metric-specific differences

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Amanda J. Wright @ajwright.bsky.social · 05/09/2025

New paper out at the Journal of Psychopathology and Clinical Science! We examined unconditional & event-related changes in pathological vs normal-range personality using 4 metrics to compare their developmental links, how these vary with life events, and whether unique effects emerge across metrics

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Amanda J. Wright @ajwright.bsky.social · 27/06/2025

and if you’re an early bird (unlike me, RIP), stop by the Emerging Scholars symposium tomorrow at 9:15 to hear a great lineup of talks :-)

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Amanda J. Wright @ajwright.bsky.social · 27/06/2025

If you’re at ARP and want to hear some great talks on personality interventions, stop by our symposium at 2:45 in the James Room on the 9th floor!!!

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Amanda J. Wright @ajwright.bsky.social · 28/03/2025

Excited to share that I'll be joining the psychology department at Texas A&M as an assistant professor starting Fall 2026 🤗

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Amanda J. Wright @ajwright.bsky.social · 13/03/2025

2nd: Meta-analytic lifespan trajectories showed that changes in personality were similar to other variables Two traits had top 6 largest net decreases (E/N) One trait (C) had top 5 largest net increases & cumulative changes. Its changes were similar to health & larger than any psych variable (5/8)

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Amanda J. Wright @ajwright.bsky.social · 13/03/2025

1st: 5/7 variables with the smallest perceived changes were personality traits. No variable had significantly smaller change ratings than any Big Five trait Domain-level ratings also showed people believe personality changes less than domains like health, finances, & other psych variables (4/8)

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Amanda J. Wright @ajwright.bsky.social · 23/09/2024

Events were associated with: - Decreased rank-order stability - Anticipatory group differences in slopes + within-person mean-level decreases from pre- to post-event - Less initial within-person variability for event group + increases in this metric from pre- to post-event (4/7)

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Amanda J. Wright @ajwright.bsky.social · 23/09/2024

We found pers fx had little to no average normative change across one year. It was moderately rank-order stable & had some average quadratic mean-level change However, these rather bland sample effects masked considerable heterogeneity - which was related to life events! (3/7)

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Amanda J. Wright @ajwright.bsky.social · 23/09/2024

We examined normative & event-related development in personality functioning (pers fx; Criterion A of the AMPD) using four metrics Why four metrics? Because rank-order stability & mean-level changes cannot and do not tell you everything about a construct's development 🤌🏼 (2/7)

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Amanda J. Wright @ajwright.bsky.social · 16/09/2024

I *love* the Whova generated graphics so it seemed fitting to use one If you’re at #DGPs2024 and want to hear 5 great talks about integrating idiographics & nomothetics in psychology, please come check out our symposium led by @niclaskuper.bsky.social on Wednesday at 11:30!

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Amanda J. Wright @ajwright.bsky.social · 22/08/2024

Long story short, we found (part 1): - There is a lot of heterogeneity in best-fitting forms for the Big Five - People’s forms are directly associated with their net & total amount of change across time - These changes are very misquantified when a worse-fitting form is used

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Amanda J. Wright @ajwright.bsky.social · 22/08/2024

Excited to see this out now in JPSP :-) It’s pretty standard to acknowledge individual differences in mean levels of traits (via intercepts) and changes in traits (often via linear slopes), but what about model forms of personality trajectories? doi.org/10.1037/pspp...

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Amanda J. Wright @ajwright.bsky.social · 05/08/2024

If you’ll be at #ECP21 in Berlin and have 90 minutes to spare on Thursday, come check out our symposium on personality interventions with some *really* cool talks!

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Amanda J. Wright @ajwright.bsky.social · 06/06/2024

For Aim 3, it appears that within-person variability has the potential to be a metric with valuable predictive utility! This individual difference predicted health status by itself, over & above people’s trait levels and changes, and had some notable interactions as well (5/8)

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Amanda J. Wright @ajwright.bsky.social · 06/06/2024

For Aim 2, they do relate & do so in expected ways! Individual differences in within-person variability were related to variables like age, gender, cognitive ability, & other trait levels All effects emerged independent of effects rather due to trait levels or changes (4/8)

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Amanda J. Wright @ajwright.bsky.social · 06/06/2024

For Aim 1, the answer was a resounding YES 🫡 Substantial heterogeneity in within-person variability around Big Five trajectories emerged across all datasets & traits Variability in sigma was comparable to - & sometimes even surpassed - variability in intercepts & slopes (3/8)

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Amanda J. Wright @ajwright.bsky.social · 06/06/2024

Very happy to see this out now in JPSP! We used 5 datasets (N = 128K) to do a deep dive into within-person variability for long-term personality development, a metric common in short-term dynamics work but (sadly!) pretty disregarded longitudinally (1/8) psycnet.apa.org/record/2024-...

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Amanda J. Wright @ajwright.bsky.social · 14/12/2023

By far my favorite post-loaded package message in R. I personally think there is always space to acknowledge one’s grievances and as a mere third-party observer, I encourage it

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Amanda J. Wright @ajwright.bsky.social · 01/11/2023

And we're not done yet! Person-level sigma values proved to have predictive utility for a test outcome (health status), beyond any effects due to levels & changes in traits. Interactions also revealed novel insight as to how personality may relate to important outcomes (9/11)

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Amanda J. Wright @ajwright.bsky.social · 01/11/2023

Further, the magnitude of heterogeneity in sigma was comparable to and on average even greater than individual differences in intercepts & slopes. The two *focal* individual differences of personality development which nearly always have estimated random effects in models (7/11)

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Amanda J. Wright @ajwright.bsky.social · 01/11/2023

We argue this is NOT appropriate & ignores substantial person-level variability in development. Indeed, across all Big Five traits in each dataset, there was meaningful heterogeneity in sigma. When compared to the single sigma from a MLM, person-level sigmas varied a lot (6/11)

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Amanda J. Wright @ajwright.bsky.social · 01/11/2023

Other work beyond general personality development, in conjunction with research leveraging flexible models that assume no form, suggests we should expect people to differ in how well they adhere to a linear trajectory AND that we are missing important person-level variance (3/11)

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Amanda J. Wright @ajwright.bsky.social · 28/09/2023

and here is a fun picture to spice it up: We found that there was substantial heterogeneity in best-fitting model forms - with most people actually adhering to a cubic form, on average. This figure depicts the distribution of best-fitting model forms for one dataset

Alluvial plot showing the distribution of best-fitting forms across the Big Five traits in one dataset, color-coded by individuals' modal best-fitting form

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