Gender Differences in Personality across the Ten Aspects of the Big Five

Yanna J. Weisberg, Colin G. DeYoung, Jacob B. HirshView original
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Here's the puzzle. If you take the Big Five at face value, gender differences look modest: women are a bit higher on Extraversion, Agreeableness, and Neuroticism, with little to see in Conscientiousness or Openness. But when you lift the hood and look at the two aspects within each Big Five domain, the picture changes. It doesn't just get a little sharper; it flips in places. As DeYoung, Vazire, Gallagher, Naumann, Soto, and their colleagues show, those ten aspects—things like Enthusiasm and Assertiveness within Extraversion—reveal robust, sometimes opposing patterns that the broad domains blur away. Let's set the map. Each Big Five domain splits into two aspects: for Neuroticism, Volatility and Withdrawal; for Extraversion, Enthusiasm and Assertiveness; for Openness and Intellect, Openness and Intellect; for Conscientiousness, Orderliness and Industriousness; and for Agreeableness, Compassion and Politeness. The team used the Big Five Aspect Scales, or BFAS, designed for this level of analysis. There are ten items per aspect, rated on a five-point agree to disagree scale. Items were chosen because they pointed clearly to their target aspect—each item had to correlate at least a tenth of a point more with its own aspect than with any of the other nine. The result is a reliable instrument: internal consistency is strong, with alphas above 0.73 and test-retest correlations above 0.72 in prior work. One more ingredient matters for this study: residualization. Because the two aspects within a domain share variance, the authors also looked at unique aspect scores. They did this by regressing one aspect on its partner and saving the leftovers—the residuals. In plain terms, that isolates what's distinctive about, say, Industriousness, once you've held Orderliness constant. They didn't test this in a tiny corner of the world. The total sample was 2,643 people, roughly one-third men and two-thirds women, spanning ages 17 to 85. Most were in North America, recruited across a large Canadian online and lab project, the Eugene-Springfield community sample, and Amazon's Mechanical Turk. The sample was predominantly White and Asian. That mix gave the authors not just scale but leverage to test whether any patterns shifted by age, ethnicity, or whether you took the survey in a lab versus online. Before we dive into the aspects, anchor to the familiar. When they scored personality at the Big Five domain level, the long-running pattern reappeared: women scored higher than men on Extraversion, Agreeableness, and Neuroticism, with little or no reliable difference for Conscientiousness and Openness and Intellect. Now the reveal. At the aspect level, significant gender differences showed up in all ten traits. And the largest gaps weren't where the domain view would have you look. They were in Compassion, Withdrawal, and Volatility. Extraversion is a great illustration of the canceling act. As a single domain, it hardly budges. But split it into Enthusiasm and Assertiveness, and the lines cross. Women score higher on Enthusiasm—the sociable, expressive, positive-emotion side of Extraversion. Men score higher on Assertiveness—the agency and dominance side. Put them back together, and the difference largely vanishes. So if you've ever wondered how one study can say women are more extraverted and another says men are more extraverted, the answer is: you're both right; you're just talking about different halves. Openness and Intellect tells the same story in a different key. As a broad domain, it looks flat across genders. But the aspects pull in opposite directions. Women are higher on Openness—interest in aesthetics, emotions, and sensory richness—while men are higher on Intellect—the analytical, ideas-driven side. That split is robust whether you use raw scores or the residualized versions that strip away shared variance. Age threads through this one too: the male advantage on Intellect is stronger in younger adults and shrinks, even reverses, in older age. Conscientiousness is sneakier. In standard scores, you don't see a gender difference at the domain level. Aspect-level raw scores show women higher on Orderliness—structure, tidiness, a preference for rules. Industriousness—goal pursuit, grit—looks similar for men and women in those raw scores. But run the residual trick, and a hidden difference appears: when you hold Orderliness constant, men score higher on Industriousness. That's not spin; it's the point of separating what the two aspects share from what makes each one distinctive. Neuroticism, a perennial in gender-difference charts, shows women higher on both of its aspects, Withdrawal and Volatility, in the raw view. Withdrawal is the tendency to feel anxious, sad, or vulnerable; Volatility is the tendency to anger and emotional instability. Residualization peels them apart. The gender difference in Withdrawal persists even when you control for Volatility. The difference in Volatility, by contrast, vanishes when you hold Withdrawal constant. So, the broader Neuroticism gap seems to rest more on the anxious and withdrawn pattern than on volatility per se. Agreeableness is straightforward and strong. Women score higher on both Compassion—the warm, empathic strand—and Politeness—the norm-abiding, conflict-averse strand. That's evident in raw scores and remains when the two are controlled for each other. Compassion, in particular, shows one of the largest differences in the entire map. Now, the team didn't stop at main effects. They stress-tested the pattern, asking: do these differences look the same across ethnic groups, age, and testing formats? Some did; some didn't. Start with ethnicity. Comparing participants who identified as White versus Asian, the gender gap in Agreeableness was larger among Whites. The same was true for Compassion, both in raw form and after controlling for Politeness. There was also a rare reversal for residualized Volatility: among Asians, women scored higher than men; among Whites, men scored higher than women. Elsewhere, ethnicity didn't meaningfully shift the picture. Age added more nuance. At the domain level, the Agreeableness gap widened with age, and the Neuroticism gap shrank—it's bigger in younger adults and smaller in older ones. Openness showed a larger female advantage at older ages. Zooming back to the aspects, age moderated several pieces of the puzzle. Compassion's gender gap grew with age. Volatility's difference was larger at younger ages. And Intellect's male advantage was clearest among younger adults, tapering off later in life. When the authors looked at residualized scores, those patterns stayed in view: age still moderated Compassion, Orderliness, and Volatility once shared variance was stripped away. Even the way you administer the survey mattered in a targeted way. Compassion shifted with testing format: women's Compassion scores were steady whether they were in the lab or online, but men reported higher Compassion in the lab than on the internet. It's a small, specific effect, and it didn't generalize across the map, but it's a useful reminder that context can influence self-report. Under the hood, are these aspects really working together the way the theory says they should? The correlation structure says yes. Within each domain, the two aspects were moderately linked, with correlations ranging from about 0.39 to 0.62. To put that in context, Enthusiasm and Assertiveness correlated around 0.45; Compassion and Politeness around 0.47; and Volatility and Withdrawal around 0.61. Across domains, associations were smaller and more selective. The team also noted that some of these links differed slightly by gender, but the big picture—a coherent two-aspect structure under each Big Five domain—held across groups. It's worth pointing out that these results weren't a fishing expedition. DeYoung and colleagues went in with directional hypotheses. They expected women to be higher on both aspects of Neuroticism, especially Withdrawal. They anticipated women would be higher on Compassion and Politeness, women higher on Orderliness, men higher on Assertiveness, and a split for Openness and Intellect—women higher on Openness and men higher on Intellect. Broadly, that's what the data delivered. The surprise wasn't the direction; it was the pervasiveness and, in some cases, the way residualization sharpened or even flipped the visible difference, as with Industriousness and Volatility. Every study has boundaries. This one is cross-sectional, so you're looking at differences across ages rather than changes within people over time. The sample, while large and diverse in some ways, is heavily North American, and the ethnicity analyses contrast only those who identified as White or Asian. The measures are self-report. And residualization is a statistical tool—a useful one—but it depends on the particular regression approach you use to parse out shared variance. The authors are candid about those constraints. So what do we carry forward? First, domain averages can hide opposing forces. Extraversion isn't one thing; it's at least two, and those two move in different directions by gender. The same goes for Openness and Intellect and Conscientiousness, where Orderliness and Industriousness trade places depending on whether you look at raw overlap or unique variance. Second, the biggest gender differences in this dataset cluster where you might feel them most interpersonally: Compassion, and the anxious side of Neuroticism—Withdrawal. Third, context matters. Age shapes the size of several gaps. Cultural background changes some, and even the test setting influences one. If you're a researcher or a practitioner, there's a practical takeaway. When gender differences are relevant, measure at the aspect level. Don't stop at no difference on Conscientiousness if your question is really about persistence versus preference for order. Use the BFAS or a comparable instrument that can parse the two halves, and, when it's theoretically meaningful, look at residualized scores to isolate unique variance. That's where Industriousness showed a higher score in men and where the Volatility difference faded once Withdrawal was held constant. And if you're thinking about what comes next, the authors point toward breadth. Replicate this with peer reports and behavioral data, not just self-report. Expand beyond North America and unpack Asian into the many cultures it flattens. Track people over time to see how these aspect-level gaps widen, narrow, or invert across life stages. The map they've drawn is detailed and coherent. Now the work is to test how stable those contours are when the culture shifts, the context changes, or the method swaps from a questionnaire to everyday behavior. In the end, the headline isn't that men and women are more this or less that. It's that the level of analysis changes the story. At the broad Big Five level, differences look small and tidy. At the aspect level, a richer, truer picture comes into view—one where gender differences are pervasive, sometimes opposing, and always more interesting than a single score can capture.

Here's the puzzle. If you take the Big Five at face value, gender differences look modest: women are a bit higher on Extraversion, Agreeableness, and Neuroticism, with little to see in Conscientiousness or Openness. But when you lift the hood and look at the two aspects within each Big Five domain, the picture changes.

It doesn't just get a little sharper; it flips in places. As DeYoung, Vazire, Gallagher, Naumann, Soto, and their colleagues show, those ten aspects—things like Enthusiasm and Assertiveness within Extraversion—reveal robust, sometimes opposing patterns that the broad domains blur away.

Let's set the map. Each Big Five domain splits into two aspects: for Neuroticism, Volatility and Withdrawal; for Extraversion, Enthusiasm and Assertiveness; for Openness and Intellect, Openness and Intellect; for Conscientiousness, Orderliness and Industriousness; and for Agreeableness, Compassion and Politeness. The team used the Big Five Aspect Scales, or BFAS, designed for this level of analysis.

There are ten items per aspect, rated on a five-point agree to disagree scale. Items were chosen because they pointed clearly to their target aspect—each item had to correlate at least a tenth of a point more with its own aspect than with any of the other nine. The result is a reliable instrument: internal consistency is strong, with alphas above 0.73 and test-retest correlations above 0.72 in prior work.

One more ingredient matters for this study: residualization. Because the two aspects within a domain share variance, the authors also looked at unique aspect scores. They did this by regressing one aspect on its partner and saving the leftovers—the residuals.

In plain terms, that isolates what's distinctive about, say, Industriousness, once you've held Orderliness constant.

They didn't test this in a tiny corner of the world. The total sample was 2,643 people, roughly one-third men and two-thirds women, spanning ages 17 to 85. Most were in North America, recruited across a large Canadian online and lab project, the Eugene-Springfield community sample, and Amazon's Mechanical Turk.

The sample was predominantly White and Asian. That mix gave the authors not just scale but leverage to test whether any patterns shifted by age, ethnicity, or whether you took the survey in a lab versus online.

Before we dive into the aspects, anchor to the familiar. When they scored personality at the Big Five domain level, the long-running pattern reappeared: women scored higher than men on Extraversion, Agreeableness, and Neuroticism, with little or no reliable difference for Conscientiousness and Openness and Intellect. Now the reveal.

At the aspect level, significant gender differences showed up in all ten traits. And the largest gaps weren't where the domain view would have you look. They were in Compassion, Withdrawal, and Volatility.

Extraversion is a great illustration of the canceling act. As a single domain, it hardly budges. But split it into Enthusiasm and Assertiveness, and the lines cross.

Women score higher on Enthusiasm—the sociable, expressive, positive-emotion side of Extraversion. Men score higher on Assertiveness—the agency and dominance side. Put them back together, and the difference largely vanishes.

So if you've ever wondered how one study can say women are more extraverted and another says men are more extraverted, the answer is: you're both right; you're just talking about different halves.

Openness and Intellect tells the same story in a different key. As a broad domain, it looks flat across genders. But the aspects pull in opposite directions.

Women are higher on Openness—interest in aesthetics, emotions, and sensory richness—while men are higher on Intellect—the analytical, ideas-driven side. That split is robust whether you use raw scores or the residualized versions that strip away shared variance. Age threads through this one too: the male advantage on Intellect is stronger in younger adults and shrinks, even reverses, in older age.

Conscientiousness is sneakier. In standard scores, you don't see a gender difference at the domain level. Aspect-level raw scores show women higher on Orderliness—structure, tidiness, a preference for rules.

Industriousness—goal pursuit, grit—looks similar for men and women in those raw scores. But run the residual trick, and a hidden difference appears: when you hold Orderliness constant, men score higher on Industriousness. That's not spin; it's the point of separating what the two aspects share from what makes each one distinctive.

Neuroticism, a perennial in gender-difference charts, shows women higher on both of its aspects, Withdrawal and Volatility, in the raw view. Withdrawal is the tendency to feel anxious, sad, or vulnerable; Volatility is the tendency to anger and emotional instability.

Residualization peels them apart. The gender difference in Withdrawal persists even when you control for Volatility. The difference in Volatility, by contrast, vanishes when you hold Withdrawal constant.

So, the broader Neuroticism gap seems to rest more on the anxious and withdrawn pattern than on volatility per se.

Agreeableness is straightforward and strong. Women score higher on both Compassion—the warm, empathic strand—and Politeness—the norm-abiding, conflict-averse strand. That's evident in raw scores and remains when the two are controlled for each other.

Compassion, in particular, shows one of the largest differences in the entire map.

Now, the team didn't stop at main effects. They stress-tested the pattern, asking: do these differences look the same across ethnic groups, age, and testing formats? Some did; some didn't.

Start with ethnicity. Comparing participants who identified as White versus Asian, the gender gap in Agreeableness was larger among Whites. The same was true for Compassion, both in raw form and after controlling for Politeness.

There was also a rare reversal for residualized Volatility: among Asians, women scored higher than men; among Whites, men scored higher than women. Elsewhere, ethnicity didn't meaningfully shift the picture.

Age added more nuance. At the domain level, the Agreeableness gap widened with age, and the Neuroticism gap shrank—it's bigger in younger adults and smaller in older ones. Openness showed a larger female advantage at older ages.

Zooming back to the aspects, age moderated several pieces of the puzzle. Compassion's gender gap grew with age. Volatility's difference was larger at younger ages.

And Intellect's male advantage was clearest among younger adults, tapering off later in life. When the authors looked at residualized scores, those patterns stayed in view: age still moderated Compassion, Orderliness, and Volatility once shared variance was stripped away.

Even the way you administer the survey mattered in a targeted way. Compassion shifted with testing format: women's Compassion scores were steady whether they were in the lab or online, but men reported higher Compassion in the lab than on the internet. It's a small, specific effect, and it didn't generalize across the map, but it's a useful reminder that context can influence self-report.

Under the hood, are these aspects really working together the way the theory says they should? The correlation structure says yes. Within each domain, the two aspects were moderately linked, with correlations ranging from about 0.39 to 0.62.

To put that in context, Enthusiasm and Assertiveness correlated around 0.45; Compassion and Politeness around 0.47; and Volatility and Withdrawal around 0.61. Across domains, associations were smaller and more selective.

The team also noted that some of these links differed slightly by gender, but the big picture—a coherent two-aspect structure under each Big Five domain—held across groups.

It's worth pointing out that these results weren't a fishing expedition. DeYoung and colleagues went in with directional hypotheses. They expected women to be higher on both aspects of Neuroticism, especially Withdrawal.

They anticipated women would be higher on Compassion and Politeness, women higher on Orderliness, men higher on Assertiveness, and a split for Openness and Intellect—women higher on Openness and men higher on Intellect. Broadly, that's what the data delivered. The surprise wasn't the direction; it was the pervasiveness and, in some cases, the way residualization sharpened or even flipped the visible difference, as with Industriousness and Volatility.

Every study has boundaries. This one is cross-sectional, so you're looking at differences across ages rather than changes within people over time. The sample, while large and diverse in some ways, is heavily North American, and the ethnicity analyses contrast only those who identified as White or Asian.

The measures are self-report. And residualization is a statistical tool—a useful one—but it depends on the particular regression approach you use to parse out shared variance. The authors are candid about those constraints.

So what do we carry forward? First, domain averages can hide opposing forces. Extraversion isn't one thing; it's at least two, and those two move in different directions by gender.

The same goes for Openness and Intellect and Conscientiousness, where Orderliness and Industriousness trade places depending on whether you look at raw overlap or unique variance. Second, the biggest gender differences in this dataset cluster where you might feel them most interpersonally: Compassion, and the anxious side of Neuroticism—Withdrawal. Third, context matters.

Age shapes the size of several gaps. Cultural background changes some, and even the test setting influences one.

If you're a researcher or a practitioner, there's a practical takeaway. When gender differences are relevant, measure at the aspect level. Don't stop at no difference on Conscientiousness if your question is really about persistence versus preference for order.

Use the BFAS or a comparable instrument that can parse the two halves, and, when it's theoretically meaningful, look at residualized scores to isolate unique variance. That's where Industriousness showed a higher score in men and where the Volatility difference faded once Withdrawal was held constant.

And if you're thinking about what comes next, the authors point toward breadth. Replicate this with peer reports and behavioral data, not just self-report. Expand beyond North America and unpack Asian into the many cultures it flattens.

Track people over time to see how these aspect-level gaps widen, narrow, or invert across life stages. The map they've drawn is detailed and coherent. Now the work is to test how stable those contours are when the culture shifts, the context changes, or the method swaps from a questionnaire to everyday behavior.

In the end, the headline isn't that men and women are more this or less that. It's that the level of analysis changes the story. At the broad Big Five level, differences look small and tidy.

At the aspect level, a richer, truer picture comes into view—one where gender differences are pervasive, sometimes opposing, and always more interesting than a single score can capture.

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