Self-Control Theory Of Crime 

The self-control theory of crime, proposed by Gottfredson and Hirschi in 1990, suggests that most crime happens because people lack self-control. Low self-control means seeking immediate pleasure without weighing long-term consequences. The theory holds that self-control forms early, mainly through effective parenting, and stays stable.

Key Takeaways

  • Definition: The self-control theory of crime, developed by Gottfredson and Hirschi in 1990, explains criminal and impulsive behavior as the result of low self-control rather than social or environmental factors.
  • Development: Self-control is believed to form in early childhood through consistent discipline, supervision, and emotional support from caregivers. Once established, it remains relatively stable throughout life.
  • Characteristics: People with low self-control tend to be impulsive, risk-seeking, self-centered, and short-sighted, making them more likely to engage in crime or other risky behaviors.
  • Evidence: Meta-analyses find a consistent, moderate-to-strong link between low self-control and crime. Critics note that measuring self-control separately from crime is difficult.
  • Criticism: Some scholars argue the theory oversimplifies crime by neglecting social, economic, and situational influences that also shape criminal behavior.

What Is Self-Control Theory of Crime?

Self-control theory of crime argues that low self-control is the main personal trait that explains why some people are more likely to commit crimes or act in reckless ways.

People with low self-control tend to seek quick rewards without thinking much about the long-term consequences of their actions.

This short-term focus often shows up through a range of personality traits and everyday behaviours.


What Low Self-Control Looks Like

Gottfredson and Hirschi described several traits that they believed were common among people who commit crimes.

Together, these are known as the “elements of self-control.”

  1. Impulsivity and Short-Term Thinking: They act on impulse and focus on what feels good right now rather than what might happen later. They tend to make quick decisions without thinking about the possible downsides.
  2. Dislike of Hard Work: They often avoid difficult or time-consuming tasks. Instead, they prefer easy or fun activities that give them instant satisfaction.
  3. Risk-Taking: They enjoy excitement and are drawn to risky behaviour, even if it could lead to trouble. The thrill of danger can be more appealing than the security of playing it safe.
  4. Self-Centeredness and Lack of Empathy: They may seem selfish or insensitive, caring more about their own wants than about other people’s feelings. They might hurt or inconvenience others without much guilt.
  5. Low Frustration Tolerance: They get angry easily and have trouble dealing with conflict calmly. Instead of talking things through, they might lash out or act aggressively when upset.
  6. Preference for Physical Activity: They usually prefer physical actions over mental effort. They would rather do something than think deeply or plan ahead.

Examples of Low Self-Control and Crime

People with low self-control tend to act on impulse, seeking quick rewards without thinking about long-term consequences.

This makes them more likely to get involved in both criminal acts and non-criminal but reckless behaviours that have similar short-term payoffs.

Examples of crimes linked to low self-control:

  • Delinquency and street crime: Petty theft, vandalism, violent assaults, burglary, robbery, shoplifting, and disorderly conduct.
  • Assault and theft: Threatening or injuring others, stealing money or property, and other opportunistic acts such as pickpocketing or car theft.
  • Illegal gambling: Taking risky bets despite poor odds or legal restrictions.
  • Driving under the influence (DUI): Driving after drinking or drug use, putting oneself and others at risk for the thrill or convenience of it.
  • Tax cheating and fraud: Engaging in deceit for personal gain, including small-scale scams, insurance fraud, and benefit fraud.
  • Academic cheating: Breaking school or university rules to get ahead, such as plagiarism, test cheating, or falsifying results.
  • Domestic and interpersonal violence: Acting on anger or jealousy in the moment, such as physical aggression in relationships or fights.
  • White-collar crime: Non-violent offences committed for financial gain in a legitimate job, such as embezzlement, insider trading, identity theft, and money laundering.
  • Cybercrime: Hacking, online scams, cyberbullying, piracy, and spreading malware offer quick excitement or profit with minimal effort and little thought for future consequences.

Analogous (Non-Criminal) Behaviours

Gottfredson and Hirschi argued that low self-control explains not only criminal acts (like theft or violence) but also a wide range of non-criminal but reckless acts, known as “analogous behaviours.”

Examples include:

  • Substance use: Smoking, drinking, or drug use.
  • Risky behaviour: Reckless driving, unsafe sex, or frequent accidents.
  • Health neglect: Ignoring medical advice or refusing to wear seatbelts.
  • Financial problems: Overspending, heavy debt, or failing to save for the future.
  • Relationship issues: Frequent breakups or unstable marriages.

Why Analogous Behaviours Matter

Researchers use these analogous acts to measure self-control more reliably.

For example, instead of asking someone directly if they commit crimes, researchers might look at how often they:

  • smoke,
  • drink heavily,
  • overspend,
  • or end up in unstable relationships.

If someone frequently engages in these behaviours, it suggests a pattern of low self-control, even if they haven’t broken any laws.

This approach helps reduce what’s known as tautology: explaining crime by using crime itself as the measure of low self-control.

Instead, researchers can observe the broader lifestyle patterns that come from acting impulsively.


Theoretical propositions

Self-control theory of crime rests on three main ideas. These are the parental management (or socialization) thesis, the stability thesis, and the spuriousness thesis (sometimes called the social consequences proposition).

Together, these ideas explain how self-control develops, how it tends to remain stable over time, and how it connects to other social factors often linked to crime.

  1. Parental Management: Self-control is learned early through good parenting.
  2. Stability: Once developed, self-control remains mostly consistent over life.
  3. Spuriousness: Other social factors linked to crime are really just by-products of self-control differences.

In essence, Gottfredson and Hirschi proposed a simple, one-cause model of crime:
poor parenting → low self-control → lifelong tendency toward crime and risky behaviour.


1. Parental Management / Socialization Thesis

(How self-control develops)

According to self-control theory (SCT), people are not naturally self-controlled. Self-control has to be learned, mainly through effective parenting in early childhood.

Key ideas:

  • Parenting matters most: Children develop high self-control when parents are warm, supportive, and consistent. Effective parenting includes:
    • Attachment – forming a strong emotional bond with the child.
    • Supervision – keeping close track of behaviour.
    • Recognition – noticing when a child misbehaves or acts impulsively.
    • Correction – responding with clear and consistent consequences.
  • Timing is critical: This learning happens mostly in the first 8–10 years of life. After that, self-control is much harder to build.
  • Parenting style: Research also shows that it’s not just about strict discipline. Children develop better self-control when parents combine firm boundaries (demandingness) with warmth, support, and positive reinforcement (responsiveness).

In short, self-control starts with good parenting early in life. Without it, children are more likely to grow up impulsive, risk-taking, and prone to rule-breaking.


2. Stability Thesis

(How self-control endures over time)

The stability thesis argues that once self-control is formed in childhood, it stays fairly stable throughout life.

Key ideas:

  • A fixed trait: Gottfredson and Hirschi believed that by around age 10, people’s level of self-control is set. Those with high self-control tend to avoid crime and risky behaviour; those with low self-control are more likely to engage in it.
  • A lifelong pattern: They suggested that people who fail to develop self-control early are unlikely to change much later. They described such people as “doomed to a moment’s pleasure for a life of misery.”
  • What research says now: Later studies (like Hay & Forrest, 2006) have shown that this isn’t completely true.

    Self-control can change through adolescence and adulthood — for example, when people take on new social roles, build supportive relationships, or experience major life events.

    These findings suggest that self-control is relatively stable but not fixed forever.

Hay and Forrest (2006) tested the stability thesis directly.

  • Aim: To test whether people’s relative level of self-control stays fixed after early childhood, as Gottfredson and Hirschi claimed.
  • Method: A longitudinal study using three waves of National Youth Survey data. It followed American adolescents’ self-reported self-control from ages 11–13 to 17–19 and tracked their rank relative to peers.
  • Results: Average self-control rose with age, but many adolescents changed rank relative to their peers. Family supervision and attachment measured after early childhood still predicted later self-control.
  • Conclusion: Self-control is not set by around age ten. It stays relatively consistent but keeps being shaped by family influence and experience.

The sample was a single American cohort from the 1970s, and self-control was self-reported. Even so, it tests the theory’s boldest claim directly.

Moffitt et al. (2011) followed more than 1,000 children from a New Zealand birth cohort into adulthood. Lower childhood self-control predicted poorer health, lower income, more substance dependence, and more criminal convictions at age 32. This held after controlling for social class and IQ.

The effect was graded across the whole range of self-control, not confined to the lowest group. This shows that childhood self-control matters, but a graded effect alone cannot show that it is fixed.


3. Spuriousness Thesis

(How self-control relates to other social factors)

The spuriousness thesis makes one of SCT’s boldest claims. Most things traditionally thought to cause crime, like poverty, peer influence, or weak social bonds, don’t actually cause it at all.

Instead, low self-control comes first, and these other factors are just side effects or outcomes of having low self-control.

Key ideas:

  • Low self-control comes before everything else: People with low self-control are more likely to skip school, lose jobs, or have unstable relationships. But according to Gottfredson and Hirschi (G&H), these outcomes don’t cause crime. They’re simply different expressions of the same underlying trait.
  • No real causal effect: SCT argues that factors such as peer pressure, strain, or social disadvantage have little independent influence on behaviour once self-control is accounted for.
  • Critics disagree: Later research has found that the relationship works both ways (Laub & Sampson, 2003; Wright et al., 1999). Low self-control can lead to negative life outcomes (social selection). Experiences such as job loss, victimization, or supportive relationships can also change self-control (social causation).

So while low self-control remains one of the strongest predictors of crime, the claim that it’s the only cause is now considered too simplistic.

Biological Evidence on Self-Control

Gottfredson and Hirschi treated self-control as almost entirely a product of parenting. Genetic and developmental research complicates that picture, but self-control still appears to form early and matter.

How Heritable Is Self-Control?

Twin studies compare identical (monozygotic) twins, who share almost all their genes, with non-identical (dizygotic) twins, who share about half.

A bigger similarity gap between the two types implies a larger genetic contribution.

  • Aim: To pool twin-study evidence and estimate how much variation in self-control between people is due to genes rather than environment, including parenting.
  • Method: A meta-analysis of 31 twin studies (17 independent samples, over 30,000 twins) published between 1997 and 2018. It compared how similar identical and non-identical twins were on self-control.
  • Results: The identical-twin correlation was 0.58 and the non-identical-twin correlation 0.28, giving a heritability estimate of 60%. This did not vary by gender or age, but was higher for parent reports.
  • Conclusion: Genes explain a substantial share of individual differences in self-control, so any account of its origins must include genetic inheritance alongside parenting.

A heritability of 60% means genes explain about three-fifths of the differences between people. It does not mean any one person’s self-control is 60% genetic.

This is about as strong as behavioral-genetic evidence gets.

Its main limit is the equal environments assumption. If identical twins are treated more alike, some apparent genetic effect could be shared environment.

Heritability is not destiny. Good parenting can still shape how a genetic predisposition is expressed, and a parent with low self-control may pass on risk through both genes and environment.

Brain Maturation and Prenatal Exposure

The prefrontal cortex, which supports planning and impulse control, matures more slowly than the brain’s reward and emotion regions. It keeps developing into the twenties (Arain et al., 2013).

Reward-seeking circuits can therefore outpace the regulation meant to restrain them. This helps explain why adolescence, well after the theory’s age-ten cut-off, remains a peak period for risk-taking.

Biology may also act before parenting begins. Boutwell and Beaver (2010) used propensity score matching, a technique that pairs exposed and unexposed children who are otherwise closely matched, to study maternal smoking during pregnancy. It stayed linked to later externalizing problems such as impulsivity, aggression, and rule-breaking.

This does not prove that nicotine causes low self-control. An unmeasured factor could still explain both exposure and outcome. It does suggest a biological contribution to traits that Gottfredson and Hirschi treated as purely learned.


Critical Evaluation

Critics raise four main objections to self-control theory:

  1. Concepts and measurement: The theory risks circularity, defines self-control narrowly, and lacks measures independent of crime.
  2. Stability and social causation: Self-control keeps changing after childhood, and later social experiences do shape it.
  3. Scope and motivation: People differ in their motives, and the theory fits planned, strategic crime poorly.
  4. Situational context: The link is only moderate, and its strength depends on circumstances.

I. Conceptual and Measurement Challenges (The Tautology Debate)

Critics argue that the theory is sometimes circular, meaning that it uses criminal behavior to define the very concept it seeks to explain.

A. The Tautology Problem

Critics have charged SCT with being tautological because G&H sometimes define the cause (low self-control) in terms of the effect (crime).

G&H state that low self-control is synonymous with the propensity to commit crime. Saying that it causes crime is therefore true by definition.

The theorists contended that “the best indicators of self-control are the acts we use self-control to explain: criminal, delinquent, and reckless acts”.

If researchers can only determine a person has low self-control by observing criminal or analogous acts, the theory becomes tautological.

G&H disagree. They insist they are proposing a logical rather than an empirical tautology.

Resolving the problem requires independent indicators of self-control. Critics argue that G&H have not provided clear, unequivocal terms for measuring self-control separately from crime.

B. Narrow and One-Dimensional Definition

Gottfredson and Hirschi described self-control as the tendency to seek short-term pleasure without thinking about long-term consequences.

However, psychologists define self-control more broadly—as the ability to inhibit impulses to pursue valued long-term goals (Baumeister et al., 1994).

This makes SCT’s definition narrower than most scientific understandings. Many researchers argue that SCT primarily measures impulsivity rather than genuine self-control (DeLisi & Vaughn, 2008).

Moreover, the traits G&H associate with low self-control (e.g., risk-taking, temper, self-centeredness) appear multidimensional, not a single trait.

The Grasmick et al. (1993) scale measures six dimensions: impulsivity, risk-seeking, self-centeredness, temper, preference for simple tasks, and physical activity. Marcus (2004) found that they often load on multiple factors.

Some scholars therefore view SCT’s indicators as reflecting a broader antisocial personality profile (Arneklev et al., 1993).

C. The Measurement Debate (Cognitive vs. Behavioral)

G&H prefer behavioral measures such as smoking or accidents. They believed these would support the theory more strongly than cognitive self-report measures.

Yet empirical tests show that cognitive self-report instruments like the Grasmick scale predict crime as well as, or better than, behavioral indicators (Pratt & Cullen, 2000; Reisig et al., 2012).

Moreover, behavioral indicators such as smoking or fighting are not always inter-correlated (Longshore et al., 1996). That makes a reliable behavioral scale hard to build.

This suggests SCT provides little guidance about what truly measures self-control.

The most influential test of these claims is Pratt and Cullen’s (2000) meta-analysis, which pools the results of many separate studies into one estimate.

  • Aim: To pool the tests of the general theory of crime and measure the strength of the self-control and crime link across measures, designs, and outcomes.
  • Method: A meta-analysis of 21 studies yielding 126 effect sizes. Each was coded by how self-control was measured (attitudinal scales or behavioral proxies), study design, and outcome type.
  • Results: Low self-control had a significant, moderate mean effect on crime and analogous behavior (r ≈ .20–.30). Attitudinal measures performed at least as well as behavioral ones, across designs, genders, and offence types.
  • Conclusion: Low self-control is a genuine predictor of crime, but the effect is moderate and leaves most variation unexplained. G&H’s preference for behavioral measures was not supported.

It remains the benchmark for later tests. Most of its studies were correlational, so it shows how large the link is more convincingly than why it exists.


II. Challenges to Stability and Social Causation

SCT rests on two strong claims: that self-control is fixed after childhood and that social experiences later in life have no causal impact. Both have been repeatedly challenged by longitudinal research.

A. Self-Control Changes Over Time

Gottfredson and Hirschi (1990) argued that by about age 10, self-control becomes stable for life.

However, longitudinal studies show that self-control continues to change during adolescence and adulthood (Hay & Forrest, 2006; Burt et al., 2014).

Life experiences, such as forming relationships, gaining employment, or experiencing adversity, can strengthen or weaken self-control (Wright et al., 1999).

Self-control, in other words, behaves like any personality trait. It evolves in response to social and developmental factors (Caspi & Roberts, 2001).

B. Social Factors Matter

SCT also claims that later-life experiences (e.g., marriage, friendship networks, or victimization) have no independent effect on crime, describing them as “consequences” rather than causes.

Yet evidence demonstrates that social bonds and life events influence both self-control and offending (Laub & Sampson, 2003; Wright et al., 2001).

For example, marriage and stable employment can increase self-control, while trauma or victimization can reduce it (Stewart et al., 2008).

The relationship is reciprocal, not one-way.


III. Limitations Regarding Scope and Criminal Motivation

SCT’s claims that it is a “general theory of crime” explaining “all crime, at all times” is limited by its assumptions about the nature of crime and motivation.

A. Not Everyone Is Equally Motivated

SCT assumes that everyone is tempted by the easy, immediate rewards of crime and that self-control merely determines who gives in.

In reality, individual motivation varies due to differences in goals, morals, and values (Agnew, 2001; Wikström & Sampson, 2003).

Many people with low self-control still avoid crime because of strong moral commitments or situational constraints.

B. Poor Fit for Planned or Complex Crimes

SCT depicts offenders as impulsive and shortsighted, which fits many petty or reactive offenses.

However, it struggles to explain deliberate, strategic crimes such as corporate fraud, tax evasion, or organized crime (Benson & Simpson, 2018).

These acts often involve planning and patience. Those are the very capacities SCT suggests criminals lack.

Critics argue this undermines the theory’s claim to explain “all crime” (Tittle et al., 2003).

The evidence is not wholly one-sided. Szockyj and Geis (2002) examined federal case records for 452 people charged with insider trading.

They tested predictions that insider traders would cluster in lower-level positions, often re-offend, and frequently tip others off. The pattern was broadly consistent with low self-control, so the theory may fit a meaningful share of white-collar offending.


IV. Ignoring Situational and Contextual Factors

Although low self-control consistently predicts crime, the relationship is modest (average r ≈ 0.20–0.30; Pratt & Cullen, 2000).

Context matters: social and situational factors moderate the effect.

Research shows that the impact of self-control depends on contextual conditions such as emotions, stress, fatigue, relationships, and environmental opportunity (Hirtenlehner & Hardie, 2016; Gottfredson, 2017).

Even individuals with generally high self-control can act impulsively. Intoxication, tiredness, or emotional arousal can trigger it (Muraven & Baumeister, 2000).

Scholars therefore distinguish trait self-control (a stable tendency) from state self-control (momentary fluctuations). They also urge integrating situational moderators into models of offending (DeWall et al., 2011).

Contemporary Research

Recent research has moved beyond asking whether low self-control predicts crime. It now asks how strong the link is, how far it generalizes, and when it matters most.

How Strong Is the Link?

The most decisive evidence is a large meta-analysis. Vazsonyi et al. (2017) updated Pratt and Cullen’s (2000) review with research published since 2000.

  • Aim: To update the empirical status of self-control theory and test whether the link between self-control and deviance differs between cross-sectional and longitudinal studies.
  • Method: The researchers screened 796 studies published between 2000 and 2010 and included 99 (88 cross-sectional and 19 longitudinal effect sizes). They analyzed the two designs separately and tested for publication bias.
  • Results: Mean correlations were r = .415 (cross-sectional) and r = .345 (longitudinal), not significantly different. Effects were weaker in studies with more male participants, older or US-based samples, and self-report measures.
  • Conclusion: The review found substantial support for the theory’s main claim, with a larger effect than earlier estimates and no evidence of publication bias.

This carries more weight than any single survey. Even so, most of the 99 studies were correlational, so a stronger average link still cannot show that low self-control causes deviance.

Victimization, Family Violence, and Culture

Low self-control also predicts who becomes a victim of crime, not only who offends (Pratt et al., 2014). Ren et al. (2017) found the same pattern among Chinese school youth, with much of the effect running through the riskier day-to-day lifestyles of low-self-control adolescents.

Family adversity matters too. A multi-level meta-analysis found that exposure to family violence was robustly associated with weaker self-control in adolescence (Willems et al., 2018).

When Does Self-Control Matter Most?

Hirtenlehner and Hardie (2016) tested interactions between self-control and social bonds in young adults. The relevance of self-control to offending shifted with the strength of a person’s bonds.

This challenges the spuriousness thesis, which treats social bonds as a by-product of self-control. Instead, the two appear to work together.

Overall, the best recent evidence leaves the core claim in a stronger position than it held in 2000. Yet self-control is only one ingredient. Social bonds, emotional state, and opportunity also shape whether a person offends.

References

Agnew, R. (2001). Building on the foundation of general strain theory. Journal of Research in Crime and Delinquency, 38(4), 319-361.

Arain, M., Haque, M., Johal, L., Mathur, P., Nel, W., Rais, A., … & Sharma, S. (2013). Maturation of the adolescent brain. Neuropsychiatric disease and treatment, 9, 449.

Arneklev, B. J., Grasmick, H. G., Tittle, C. R., & Bursik, R. J. (1993). Low self-control and imprudent behavior. Journal of Quantitative Criminology, 9(3), 225–247. https://doi.org/10.1007/BF01064461

Back, S., Soor, S., & LaPrade, J. (2018). Juvenile hackers: An empirical test of self-control theory and social bonding theory. International Journal of Cybersecurity Intelligence & Cybercrime, 1(1), 40-55.

Baumeister, R. F., Heatherton, T. F., & Tice, D. M. (1994). Losing control: How and why people fail at self-regulation. Academic Press.

Benson, M. L., & Simpson, S. S. (2018). Understanding white-collar crime. Routledge.

Boutwell, B. B., & Beaver, K. M. (2010). Maternal cigarette smoking during pregnancy and offspring externalizing behavioral problems: a propensity score matching analysis. International journal of environmental research and public health, 7(1), 146-163.

Burt, C. H., Sweeten, G., & Simons, R. L. (2014). Self-control through emerging adulthood: Instability, multidimensionality, and criminological significance. Criminology, 52(3), 450–487. https://doi.org/10.1111/1745-9125.12045

Caspi, A., & Roberts, B. W. (2001). Personality development across the life course. Psychological Inquiry, 12(2), 49-66.

DeLisi, M., & Vaughn, M. G. (2008). The Gottfredson–Hirschi critiques revisited: Reconciling self-control theory, criminal careers, and career criminals. International Journal of Offender Therapy and Comparative Criminology, 52(5), 520–537. https://doi.org/10.1177/0306624X07308553

Grasmick, H. G., Tittle, C. R., Bursik, R. J., & Arneklev, B. J. (1993). Testing the core empirical implications of Gottfredson and Hirschi’s theory. Journal of Research in Crime and Delinquency, 30(1), 5-29.

Gottfredson, M. (2017). Self-control theory and crime. In Oxford Research Encyclopedia of Criminology and Criminal Justice.

Gottfredson, M. R., & Hirschi, T. (1990). A general theory of crime. In A General Theory of Crime. Stanford University Press.

Hay, C., & Forrest, W. (2006). The development of self-control: Examining self-control theory’s stability thesis. Criminology, 44(4), 739–774. https://doi.org/10.1111/j.1745-9125.2006.00062.x

Hirschi, T. (1969). Causes of delinquency. Berkeley: University of California Press.

Hirschi, T., & Gottfredson, M. (1983). Age and the explanation of crime. American journal of sociology, 89(3), 552-584. 

Hirtenlehner, H., & Hardie, B. (2016). On the conditional relevance of self-control for crime: Cross-level interactions between self-control and social bonds in young adults. Journal of Quantitative Criminology, 32(3), 477–500.

Holt, T.J., Bossler, A.M., & May, D.C. (2012). Low self-control, deviant peer associations, and juvenile cyberdeviance. American Journal of Criminal Justice : AJCJ, 37(3), 378-395. doi:10.1007/s12103-011-9117-3

Junger, M., & Tremblay, R. E. (1999). Self-control, accidents, and crime. Criminal Justice and Behavior, 26(4), 485-501.

Laub, J. H., & Sampson, R. J. (2003). Shared beginnings, divergent lives: Delinquent boys to age 70. Harvard UP.

Lugo, M. A. (2013). Self-control, attitudinal beliefs, and white-collar crime intentions. University of South Florida.

Marcus, B. (2004). Self-control in the general theory of crime: Theoretical implications of a measurement problem. Theoretical Criminology, 8(1), 33–55. https://doi.org/10.1177/1362480604039740

Moffitt, T. E., Arseneault, L., Belsky, D., Dickson, N., Hancox, R. J., Harrington, H., Houts, R., Poulton, R., Roberts, B. W., Ross, S., Sears, M. R., Thomson, W. M., & Caspi, A. (2011). A gradient of childhood self-control predicts health, wealth, and public safety. Proceedings of the National Academy of Sciences, 108(7), 2693–2698. https://doi.org/10.1073/pnas.1010076108

Muraven, M., & Baumeister, R. F. (2000). Self-regulation and depletion of limited resources: Does self-control resemble a muscle? Psychological Bulletin, 126(2), 247–259.

Nye, F. I. (1958). Family relationships and delinquent behavior.

Pratt, T. C., & Cullen, F. T. (2000). The empirical status of Gottfredson and Hirschi’s general theory of crime: A meta-analysis. Criminology, 38(3), 931-964.

Pratt, T. C., Turanovic, J. J., Fox, K. A., & Wright, K. A. (2014). Self‐control and victimization: A meta‐analysis. Criminology, 52(1), 87-116.

Ren, L., He, N. P., Zhao, R., & Zhang, H. (2017). Self-control, risky lifestyles, and victimization: A study with a sample of Chinese school youth. Criminal justice and behavior, 44(5), 695-716.

Richer, J.L. (2013). From young hackers to crackers. International Journal of Technology and Human Interaction, 9(3), 53-62. doi:10.4018/jthi.2013070104

Sellers, C. S. (1999). Self‐control and intimate violence: An examination of the scope and specification of the general theory of crime. Criminology, 37(2), 375-404.

Szockyj, E., & Geis, G. (2002). Insider trading: Patterns and analysis. Journal of Criminal Justice, 30(4), 273–286. https://doi.org/10.1016/S0047-2352(02)00129-0

Tittle, C. R., Ward, D. A., & Grasmick, H. G. (2003). Self-control and crime/deviance: Cognitive vs. behavioral measures. Journal of Quantitative Criminology, 19(4), 333–365.

Wikström, P.-O. H., & Sampson, R. J. (2003). Social mechanisms of community influences on crime and pathways in criminality. In B. B. Lahey, T. E. Moffitt, & A. Caspi (Eds.), Causes of conduct disorder and juvenile delinquency (pp. 118–148). Guilford Press.

Willems, Y. E., Boesen, N., Li, J., Finkenauer, C., & Bartels, M. (2019). The heritability of self-control: A meta-analysis. Neuroscience & Biobehavioral Reviews, 100, 324–334. https://doi.org/10.1016/j.neubiorev.2019.02.012

Willems, Y. E., Li, J. B., Hendriks, A. M., Bartels, M., & Finkenauer, C. (2018). The relationship between family violence and self-control in adolescence: A multi-level meta-analysis. International journal of environmental research and public health, 15(11), 2468.

Wright, B. R. E., Caspi, A., Moffitt, T. E., & Silva, P. A. (1999). Low self-control, social bonds, and crime: Social causation, social selection, or both? Criminology, 37(3), 479–514. https://doi.org/10.1111/j.1745-9125.1999.tb00494.x

Wright, B. R. E., Caspi, A., Moffitt, T. E., & Silva, P. A. (2001). The effects of social ties on crime vary by criminal propensity: A life-course model of interdependence. Criminology, 39(2), 321–348. https://doi.org/10.1111/j.1745-9125.2001.tb00925.x

Vazsonyi, A. T., Mikuška, J., & Kelley, E. L. (2017). It’s time: A meta-analysis on the self-control-deviance link. Journal of Criminal Justice, 48, 48–63. https://doi.org/10.1016/j.jcrimjus.2016.10.001

Zeigler, N. (2007). Inside the Mind of a Serial Killer.

Saul McLeod, PhD

BSc (Hons) Psychology, MRes, PhD, University of Manchester

Chartered Psychologist (CPsychol)

Saul McLeod, PhD, is a qualified psychology teacher with over 18 years of experience in further and higher education. He has been published in peer-reviewed journals, including the Journal of Clinical Psychology.


Charlotte Ruhl

Harvard Psychology Graduate

BA (Hons) Psychology, Harvard University

Charlotte Ruhl graduated from Harvard University with a degree in Psychology and African American Studies. During her studies she worked at Harvard's Implicit Social Cognition Lab under Dr. Mahzarin Banaji, researching implicit racial bias and outgroup exposure, and contributed to the Decision Science Lab administering studies in behavioural economics and social psychology.