Life Events and Big Five Personality Change: What Research Shows

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Author: Ukrainian Psychological Hub · Published: October 9, 2026 · Editorial Policy

Major life events can be followed by changes in the Big Five personality traits. The size, direction, and persistence of those changes depend on the event, the circumstances in which it occurs, the personality dimension measured, and the individual. Longitudinal research shows that people remain recognizably themselves across time while their characteristic patterns of thinking, feeling, and behavior can also develop.

The clearest quantitative answer comes from a 2024 systematic review and meta-analysis of life events and personality change and a 2026 coordinated analysis of seven major longitudinal panels. They find generally small average Big Five associations, some replicable event-specific patterns, and substantial variation across outcomes and time periods. A significant life transition therefore provides a possible context for personality development, not a reliable individual forecast.

This article examines marriage and relationships, parenthood, divorce, unemployment and new work, bereavement, retirement, and other transitions. It explains why effects can begin before a recorded event, how researchers distinguish temporary reactions from lasting changes, and which interpretations the evidence supports. For the wider conceptual framework, see our Big Five personality traits guide, while the lifespan personality-change overview addresses all sources of trait change rather than the narrower question of life events.

Can Life Events Really Change Big Five Personality Traits?

Yes. Prospective studies sometimes detect changes in Big Five trait levels or developmental trajectories around major life events. Yet the best-supported overall conclusion is a qualified statistical one: average effects are usually modest, and they differ by event and trait. The evidence does not imply that a first job necessarily makes a person more conscientious, marriage always reduces openness, or a loss permanently changes someone's personality.

The Big Five are dimensions: openness to experience, conscientiousness, extraversion, agreeableness, and neuroticism. They describe relatively enduring individual differences on continuous scales. A change in a score is not a conversion between personality types. Nor does a high or low score constitute a diagnosis, an ethical judgment, or proof of future behavior. In the BFI-2, the corresponding broad domain is called Negative Emotionality; the precise score definitions and lower-level components depend on the instrument. For the distinction between domains, aspects, and instrument-specific facets, see the Big Five personality hierarchy.

Trait stability and trait change also coexist. People can retain approximately the same relative standing compared with peers as a population's average changes, or show strikingly different personal trajectories while the group average remains nearly unchanged. Roberts, Walton, and Viechtbauer's lifespan meta-analysis documents mean-level personality development, and Specht, Egloff, and Schmukle's prospective analysis examines the relationship between age, major events, and change.

What Is a Life Event in Personality Research?

Researchers typically define a life event as a consequential, reasonably identifiable transition in a person's circumstances, roles, or social status. Examples include completing education, beginning a job, experiencing unemployment, starting a romantic relationship, marrying, becoming a parent, separating, divorcing, losing a spouse, and retiring. Some studies also examine serious illness, relocation, military service, or repeated everyday experiences.

This definition is necessary for collecting comparable data, but an event date is only a rough indicator of the experiences that could influence personality. Marriage can follow years of shared living. Divorce may follow prolonged conflict or separation. Retirement may be preceded by reduced hours or worsening health. The apparent turning point often sits inside a much longer process.

Two people who both become parents may experience very different sleep disruption, financial conditions, caregiving support, role expectations, and opportunities for independent activity. The event category alone cannot capture these differences. The practical significance of an event may depend on whether it was anticipated, voluntary, desired, socially supported, economically disruptive, or followed by repeated changes in ordinary routines.

Event occurrence versus everyday experience

A recorded transition may change daily reinforcement and behavior without instantly changing the underlying trait. Repeated demands for punctuality, patience, cooperation, or flexibility may eventually become part of a person's typical repertoire. Conversely, a period of stress can temporarily alter behavior without producing an enduring shift. Dugan and colleagues' frequently assessed longitudinal study examined 25 event categories with 47,814 assessments from 4,904 participants and found that both major transitions and smaller recurring experiences sometimes corresponded with altered personality trajectories.

Why life events and personality influence one another

Personality can influence which events become likely, how they unfold, and how a person responds to them. Conscientiousness may be associated with education and employment pathways; extraversion may be associated with some social opportunities. At the same time, the settings entered through those pathways can reinforce new habits. These reciprocal patterns are commonly called selection and socialization in longitudinal personality research. Denissen and colleagues' study of person–environment transactions found selection effects more often than average event-related personality effects.

The Strongest Evidence: Meta-Analyses and Longitudinal Panels

A systematic review covering more than 120,000 participants

The preregistered systematic review and meta-analysis by Bühler and colleagues synthesized 44 longitudinal studies, 89 samples, and 121,187 participants. It investigated ten recurring events in relationship and work domains and examined personality traits alongside life satisfaction and self-esteem. Some specific transitions were statistically related to personality development, but average estimates were generally small and often heterogeneous.

Work transitions showed somewhat more consistent relationships with personality change than romantic transitions across the available studies. This is a result about the particular comparisons and datasets synthesized, not a universal claim that employment has greater psychological importance than relationships. Estimates were uneven across personality dimensions, event categories, and analytical designs. The evidence was particularly uncertain where only a small number of studies measured the same event–trait combination.

A coordinated analysis of seven major panels

Haehner, Krämer, Wright, and Bleidorn's coordinated analysis examined seven major longitudinal datasets and a combined sample of 196,256 participants. A coordinated design helps compare similar questions and analytic specifications across independent panels. The paper reported an average standardized event-associated Big Five coefficient of approximately 0.06. This is a small association at the population level, and it should not be applied unchanged to any one event, dimension, or person.

Among the more reproducible patterns, starting a new job predicted small increases in conscientiousness and emotional stability, while marriage predicted a small reduction in openness. Numerous other event–trait hypotheses showed inconsistent or weak results. Analyses of timing were especially informative because changes could emerge before the event, around the transition, or afterward, sometimes followed by adaptation toward earlier levels.

The 2024 and 2026 studies are complementary evidence sources, although their participant sets are not completely independent. The coordinated analysis identifies some overlap with samples represented in the preceding synthesis. Their broad agreement supports the conclusion that life events relate to personality development, while the magnitude, reproducibility, and causal interpretation of particular associations must be assessed separately.

Individual differences can be larger than an average suggests

An average association of approximately 0.06 does not mean that all individuals change by 0.06 standardized units. People can increase, decrease, remain stable, or show temporary fluctuations that cancel each other in the sample mean. A 2026 meta-analysis of individual variation in trait development synthesized 229 longitudinal studies with 230,492 participants and demonstrates that trajectories differ substantially. That analysis concerns differences in trait change across the lifespan rather than directly identifying the causal effect of any one event.

Work and Education Events

Starting the first job or moving into employment

Taking a job often changes daily structure, role obligations, planning requirements, interpersonal expectations, and consequences for task completion. These changes provide plausible opportunities for cultivating conscientious patterns. In the 2026 coordinated analysis, entry into employment was associated with modest average gains in conscientiousness and emotional stability.

The event label conceals many differences. A secure position with predictable hours and supportive colleagues can have different psychological consequences from insecure employment, a hostile workplace, or caregiving work combined with other demands. People also differ in their preexisting resources and traits when they enter employment. The observed population association should therefore not be described as proof that work itself produces greater self-discipline or lower neuroticism in any individual.

Finishing school, beginning vocational training, and joining the workforce frequently occur close together. Some observed changes may reflect age-graded development, economic circumstances, independent living, new relationships, or accumulated experience rather than the single formal moment of receiving a diploma or signing a contract. Longitudinal studies need appropriate comparison groups and a careful account of coinciding transitions.

Unemployment and involuntary job loss

Losing employment can remove valued structure, weaken financial security, alter social contact, and increase uncertainty. It can also provide relief from harmful conditions or initiate a different career pathway. Boyce, Wood, Daly, and Sedikides followed 6,769 adults and reported associations between unemployment and Big Five change over a four-year observation period, with differences related to gender and duration.

The study does not justify treating unemployment as an inevitable personality injury. People differ in how long they remain out of work, how quickly financial and social conditions change, whether they receive support, and whether they return to employment. A score measured years later can also mix anticipatory stress, the immediate experience of job loss, subsequent unemployment, and reemployment. These separate phases matter for interpretation.

Retirement

Retirement is both the ending of one set of role demands and the potential beginning of new routines and activities. For some people it brings flexibility, family time, and reduced stress; for others it involves health problems, financial constraints, or loss of social networks. It may be voluntary, anticipated, or imposed.

Retirement is included in major longitudinal syntheses, but the available Big Five findings are less consistent than a single narrative of liberation or decline suggests. The 2024 event meta-analysis and the 2026 coordinated panel study show why interpretation must identify the actual trait, the time frame, and the circumstances surrounding retirement rather than assigning every retiree the same personality outcome.

Romantic Relationships, Marriage, and Separation

Entering a romantic relationship

Beginning a relationship can change social interaction, emotional support, shared planning, future orientation, and the routines of daily life. The 2024 meta-analysis detected some modest associations, including increases in conscientiousness around entering a relationship in certain analyses. The pattern does not establish that a partner automatically makes someone more organized or responsible.

Preexisting traits help shape who enters and remains in relationships. Relationship satisfaction, division of responsibilities, conflict, communication, and living arrangements may be more informative about the relevant experience than relationship status by itself. Changes in behavior with one partner may remain specific to that context rather than generalizing across the person's life.

Does marriage change your personality?

Marriage is associated with a modest average decline in measured openness in some large longitudinal syntheses. The pattern appears in both Bühler and colleagues' systematic review and Haehner and colleagues' coordinated study. Openness concerns a broad tendency toward curiosity, novelty, imagination, and certain intellectual and aesthetic interests, although its exact facets depend on the measure used.

This result does not establish that marriage suppresses creativity, prevents intellectual exploration, or necessarily makes an individual less curious. Marriage commonly coincides with age, changes in household responsibilities, parenting decisions, occupational commitments, and already-established relationships. The association may reflect selection, anticipation, lifestyle reorganization, or combinations of processes. Event-centered studies improve understanding of timing, but they cannot automatically isolate a causal marriage effect.

Separation and divorce

Divorce may involve prolonged conflict before a legal separation, followed by changes in housing, caregiving, finances, relationships, and identity. Such transitions can create new behavioral demands and lasting uncertainty. The 2024 meta-analysis reported some associations around divorce, including a small average increase in conscientiousness based on a limited set of available comparisons.

It would be incorrect to turn that finding into advice that divorce necessarily improves character or strengthens resilience. The same event can lead people along different developmental trajectories. Dugan and colleagues found that certain divorce transitions coincided with changes in personality trajectories in frequently collected data. Repeated measurements before and after separation are needed to establish whether apparent post-event differences were already developing or persist over time.

Parenthood and Family Transitions

Becoming a parent brings profound changes in responsibility, sleep, time allocation, caregiving, economic organization, and relationships. It can therefore seem self-evident that the transition produces increases in conscientiousness, agreeableness, or emotional stability. The evidence does not support a uniform maturation story.

Van Scheppingen and colleagues' longitudinal parenthood study compared first-time parents with nonparents and found little support for hypothesized stronger average increases in agreeableness, conscientiousness, and emotional stability among parents. Some patterns involving agreeableness and openness depended on time spent in the parenting role. Parenthood's social and emotional importance can be immense without producing a standardized, directional shift in every broad trait.

Different supports, cultural expectations, work conditions, economic circumstances, partnership arrangements, and children’s needs influence what daily caregiving involves. Parenting may change behavior within the caregiving role while leaving other aspects of the person relatively stable. Longitudinal research must distinguish the adoption of a role from the sustained patterns of experience that follow it.

Loss, Bereavement, and Widowhood

Losing a spouse can transform everyday life and involve prolonged grief, shifts in social support, changing responsibilities, and changes in well-being. The meaning and impact of bereavement are real even when the available Big Five measures show little average movement.

Chopik's longitudinal analysis of spousal bereavement found limited average mean-level differences in personality traits between bereaved and comparison groups, alongside lower rank-order stability among bereaved people. That combination matters: a near-zero group average can coexist with more variable individual trajectories.

Asselmann and Specht's longitudinal widowhood study similarly explored transactions between bereavement and personality. More recently, a 2026 matched study of Dutch adults did not find a general pattern of favorable Big Five growth after spousal loss and documented less favorable trajectories for certain traits around the transition. These studies differ in populations, analytic decisions, and observation windows, so their estimates should be interpreted in those respective contexts.

Bereavement should not be characterized as a guaranteed source of personality growth or inevitable deterioration. Someone can experience profound grief, changed priorities, or greater appreciation of relationships without showing a large enduring change on an established Big Five questionnaire. Symptoms or distress that warrant professional care must be considered on their own terms, not inferred from a broad personality score.

Other Potentially Formative Events

Military service and structured role transitions

Intense institutional environments can create sustained pressure to follow rules, cooperate with others, regulate responses, or adopt particular behaviors. Jackson and colleagues' longitudinal military-training study examined German young men and found that preexisting traits predicted entry into military service. Following training, recruits showed lower agreeableness than a comparison group, and the difference persisted at a later observation.

This study illustrates both selection and possible experience-related development. It cannot be generalized automatically to all military systems, recruits, national contexts, or other structured institutions. Nor does a change in agreeableness supply a moral judgment about the participants.

Relocation, illness, caregiving, and other transitions

Moving home, experiencing serious illness, becoming a caregiver, or entering an unfamiliar social environment can alter the pattern of daily challenges and reinforcement. Yet the specific Big Five effect estimates for many such transitions are less thoroughly replicated than those for common work and relationship events. A plausible mechanism is not equivalent to confirmed event-specific evidence.

Research must carefully separate an acute response, prolonged environmental conditions, change in identity narratives, and change in an enduring trait construct. If someone feels different after an illness or major move, that report is meaningful; establishing how much their broad personality traits changed requires appropriate measures and follow-up data.

Why Positive and Negative Events Do Not Produce Opposite Personality Effects

Assigning events simple positive or negative labels often conceals more than it explains. A new job can provide opportunity and stress. Marriage may bring companionship and conflict. Retirement can bring autonomy and loss of routine. A divorce can be experienced as painful, relieving, or both. Emotional valence is not a sufficient scientific predictor of the direction of personality change.

Specht, Egloff, and Schmukle examined distinct life events and personality development, illustrating the importance of studying event-specific trajectories. Similarly, the 2024 synthesis emphasizes that different events relate differently to particular dimensions. Changes on trait scales should be described as movements on dimensions rather than automatically labeled improvement, damage, maturity, or pathology.

How Life Events Could Influence Personality

Social roles and repeated behavior

A new role can impose unfamiliar demands and provide reinforcement for particular habits. Beginning work may require persistent planning; a caregiving role may demand emotional regulation and flexibility; a relationship may introduce repeated social negotiation. Social investment approaches propose that role commitments can shape development through repeated expectations and behavior. However, the mixed evidence for different transitions means that role adoption alone is an incomplete explanation.

The TESSERA framework

Wrzus and Roberts' TESSERA framework links recurring situations, expectancies, states, reactions, and longer-term personality development. In this account, an event may alter the situations a person encounters and the responses that are repeatedly practiced. Over time, recurring processes can accumulate into broader tendencies.

A person who begins to manage a team may repeatedly practice conflict resolution, planning, and initiative. Whether those behaviors eventually generalize beyond work and produce a measurable trait shift is an empirical question. Repetition is a plausible mechanism, but a mechanism proposed in a theory is not direct proof that a specific event caused an observed effect.

Stress, support, control, and psychological appraisal

Changes in perceived control, sleep, financial stability, security, social support, and ongoing stress could connect events with typical feelings and behaviors. The same formal event can set these processes in different directions. Evidence for an actual mediating pathway requires measuring the pathway and showing that it accounts for the trajectory rather than merely naming a plausible explanation.

An event can also change self-understanding and how questionnaire statements are interpreted. A participant might endorse being organized more strongly after taking responsibility for children, while objective behavior across unrelated settings changes little. That possibility strengthens the case for multiple measurement methods rather than treating every self-report difference as incontrovertible personality transformation.

Selection, anticipation, and adaptation

Personal characteristics can influence when a transition occurs and what experiences follow it. A prospective event study therefore needs measurements before the transition. For instance, a couple may become less satisfied long before divorce, and a new employee may have spent years developing the habits that helped secure employment.

Personality changes measured just after the transition may also disappear as the individual adapts, or they may continue if new routines remain in place. Denissen and colleagues' longitudinal analysis is especially important because it treats selection and socialization as distinct processes rather than assuming that temporal order alone settles causation.

How Scientists Study Personality Change After Events

Prospective longitudinal measurement

The strongest observational designs repeatedly measure the same participants before and after events. Multiple pre-event observations allow researchers to inspect developmental trends and anticipation. Several post-event observations help differentiate an immediate response from a persistent alteration. A study with one baseline and one follow-up can detect an association but leaves important uncertainties about timing.

Appropriate comparison groups

Researchers compare people who undergo a transition with people who do not, accounting as well as possible for age and other observed circumstances. Comparison groups, matching, fixed-effects approaches, and event-centered time models can strengthen inference. However, marriage, bereavement, parenting, or involuntary unemployment are not usually randomly assigned, so unobserved confounding and reciprocal processes remain.

Mean-level change, rank-order stability, and individual change

Mean-level change is the difference in a group's average trait score. Rank-order stability concerns whether participants maintain their relative positions against one another. Individual trajectories concern patterns over time for particular people. These quantities can move independently. For example, substantial increases for some people and decreases for others can yield an almost unchanged average.

A change in average conscientiousness following employment does not show that each new employee became more conscientious. And a reduction in rank-order stability following bereavement does not, by itself, identify whether a given bereaved person increased or decreased on a scale. These distinctions are essential to research on the stability of the Big Five.

Personality traits versus temporary states

The person who reports high anxiety immediately after a frightening event may be experiencing an understandable state response. A durable change in the trait of neuroticism or the BFI-2 domain of Negative Emotionality is a different measurement claim. Likewise, an outgoing person may withdraw during grief without becoming a permanently introverted person.

Researchers need repeated observations of characteristic patterns and suitable instruments to assess trait-level change. The distinction between Big Five traits and states is useful here, though the most detailed neuroticism-specific measurement questions belong to the existing Neuroticism cluster.

Instruments, aspects, facets, and valid score interpretation

The Big Five model is studied with multiple validated tools, each with its own item wording, scales, and lower-level structure. The NEO family uses a 30-facet organization; the BFI-2 has a different set of facets; the Big Five Aspect Scales describes two aspects within each domain. These are instrument-specific measurement structures, not interchangeable universal Big Five subdivisions.

Longitudinal studies must consider reliability, response tendencies, measurement equivalence across occasions, and changes in how participants understand the items. A comparison of scores from two different online quizzes does not automatically measure development. Nor is there a universal Big Five threshold defining a person as high or low independent of a particular instrument and reference sample. The Big Five measurement overview explains instrument-specific assessment, and the retesting and meaningful-change article examines repeated scores.

Statistical association versus individual prediction

A statistically significant event–trait relationship in a large sample may have little power to predict an individual outcome. Researchers should report the specific trait, event, standardized estimate, uncertainty interval, sample, comparison conditions, and follow-up period. A group-level coefficient must not become the statement that a particular person's future is determined by marriage, unemployment, or grief.

Correlation, prospective prediction, and causal identification should also be distinguished. An event can predict later scores without being the only cause of the change. Shared causes, social selection, or concurrent experiences may produce part of the pattern. The public interpretation should match the strength of the actual study design.

Can Trauma, Loss, or Serious Illness Permanently Change Personality?

Severe stress, trauma, illness, and loss can change everyday functioning, relationships, mood, and health, sometimes for years. The importance of those effects is independent of whether they constitute a lasting movement on a broad Big Five dimension. Clinical symptoms, psychiatric diagnoses, trauma responses, and personality trait scores belong to different kinds of assessment.

Available event studies show heterogeneous patterns rather than a general rule of permanent deterioration or posttraumatic personality growth. The timing of adversity and the persistence of changed circumstances deserve careful study. If distress or impairment requires attention, appropriate medical or mental-health support is relevant regardless of whether a personality questionnaire suggests long-term trait change. Neuroticism-specific associations with events are addressed by Neuroticism and Life Events, within that cluster's established ownership.

Does a Change Last Forever?

Observed development can precede the event, peak soon afterward, persist for several follow-up waves, or move back toward a previous trajectory. The answer depends on the event, the measurement schedule, and whether the new circumstances continue. A job may reinforce behavioral routines for years; changing or leaving the position may alter that reinforcement. The formal transition itself is not a permanent causal guarantee.

Researchers also need to account for age-related changes that would have occurred without the event. Roberts, Walton, and Viechtbauer document systematic mean-level development across the life course. An event-related estimate should represent deviation from a plausible alternative trajectory, not simply any change between two dates.

Can You Deliberately Change Your Big Five Traits?

The research question of intentional change differs from the question of whether naturally occurring life events predict change. In a systematic review of interventions, Roberts and colleagues found personality-score changes across intervention studies, particularly in emotional stability. Such findings do not estimate what a divorce, marriage, new job, or parenting transition will cause on its own.

People can intentionally practice habits and choose environments that reinforce preferred behaviors. A useful practical focus is on repeated patterns across situations and over time, rather than expecting a single turning point to produce an entirely new personality. The broader evidence on interventions, development, and change is covered in Can Big Five Personality Traits Change?.

Practical Implications of Life-Event Research

If a major transition has changed your routines, emotional responses, or relationships, those observations deserve attention without requiring a permanent personality label. Consider what has changed repeatedly across situations, what may reflect temporary demands, and which circumstances are likely to continue. A period of lower social activity after bereavement may reflect the demands of grief and changed opportunity rather than a fixed new trait profile.

Validated longitudinal assessment can be useful in research or appropriate professional contexts, but an isolated online test cannot establish that a transition transformed a person's personality. Scores should be interpreted according to the instrument and relevant reference population, with uncertainty and measurement error considered. There is no universal cutoff at which someone becomes a different kind of person.

For families, educators, employers, and clinicians, the most responsible conclusion is similarly probabilistic. Transitions can create settings for development, and people vary widely. Broad event averages should not be used as hiring judgments, forecasts about a parent, diagnoses after a loss, or assumptions about the psychological outcome of divorce.

Frequently Asked Questions

Do big life events change your personality?

They sometimes relate to sustained changes in Big Five scores and trajectories. Large prospective syntheses show that typical average associations are small, depend on event and trait, and do not support precise predictions for a particular individual.

Does getting married change the Big Five?

Some longitudinal syntheses find a modest association between marriage and reduced openness. Age, selection, relationship history, and accompanying changes in everyday life remain relevant explanations. There is no reliable universal transformation following marriage.

Does parenthood make people more conscientious?

Not consistently. A prospective comparison of first-time parents and nonparents did not show the predicted broad maturation pattern for conscientiousness, agreeableness, and emotional stability. Parenting can change responsibilities profoundly without uniformly shifting broad personality scores.

Can losing a job affect personality?

Research links unemployment with some personality changes, but patterns vary by duration, circumstances, and participant characteristics. Job loss can change stress and routines while other factors influence the observed developmental trajectory.

Does divorce make someone stronger or more independent?

The available studies do not justify that general conclusion. Some analyses find small changes around divorce, and individual directions vary. Moral or therapeutic interpretations of a difficult transition should not be derived from a single population-level Big Five association.

Does bereavement cause permanent personality change?

Some bereavement studies find limited average trait change, altered rank-order stability, or differences in certain individual trajectories. No one enduring direction characterizes all people who lose a spouse or loved one.

Are positive events more likely to improve personality?

Positive versus negative labels are too broad to predict trait development. An event's concrete demands, circumstances, psychological appraisal, and timing help explain why the same transition may have different consequences.

Which Big Five trait changes the most after life events?

There is no universally established ranking. New employment, marriage, parenthood, and loss have different associations across dimensions and datasets. Measurement choices and the timing of follow-up also influence estimates.

Is personality change after an event permanent?

Some measured changes persist and others attenuate or predate the transition. Multiple observations before and after the event are needed to distinguish short-term responses, anticipation, age-related change, and longer-term development.

Can an online Big Five test prove that an event changed me?

A single result cannot. Two scores may also differ because different questionnaires were used. Validated repeated measurement, consistent scoring, measurement precision, and suitable norms are essential for meaningful interpretation.

Can a life event cause a personality disorder?

Big Five dimensions are continuous research constructs, and a change in a Big Five score is not a clinical diagnosis. Questions about disorders and clinical assessment require separate diagnostic frameworks and appropriate professional evaluation.

Conclusion: Life Events Matter, but Context and Trajectory Matter More

The best evidence depicts life events as possible contributors to an ongoing, reciprocal process of personality development. Work and relationship transitions sometimes predict modest changes on specific Big Five dimensions; preexisting personality also influences exposure to experiences, and much development begins before or continues beyond the transition itself.

The 2024 systematic review and 2026 coordinated longitudinal analysis converge on a measured interpretation: event associations are usually small on average, and differences across people, measurement instruments, environments, and time periods are central to understanding them. The most informative questions concern precisely which event, which trait, which time course, and which alternative explanations have been assessed. The finding is compatible with both the relative stability of personality and a genuine capacity for lifelong development.

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