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. Author manuscript; available in PMC: 2011 Oct 1.
Published in final edited form as: Crim Justice Behav. 2011 Jul;38(7):641–658. doi: 10.1177/0093854811403590

Emotion facilitation and passive avoidance learning in psychopathic female offenders

Jennifer E Vitale 1
PMCID: PMC3115656  NIHMSID: NIHMS114242  PMID: 21686054

Abstract

Research on psychopathy among incarcerated, Caucasian males has consistently demonstrated deficits in emotion processing and response inhibition. Using the PCL-R to classify participants as psychopathic or non-psychopathic, this study examined the performance of incarcerated, Caucasian females on two laboratory tasks: A lexical decision task used to assess emotion processing and a passive avoidance task used to assess response inhibition. Contrary to prediction, deficits in performance typically exhibited by psychopathic males were not exhibited by psychopathic females in this sample. Implications of these findings are discussed and an interpretation of the results in the context of the Response Modulation Hypothesis is presented.


Psychopathic individuals are marked by their callous, unemotional interpersonal style and their impulsive, often antisocial behaviors (Cleckley, 1976; Hare, 1996; Lykken, 1995). These characteristics encompass two domains of functioning, affective processing and behavioral regulation. Decades of research on the deficits associated with psychopathy have focused primarily on these domains, which appear central to the psychopathy construct.

Abnormalities in emotional and behavioral functioning inform our current clinical and empirical conceptualizations of the psychopathy syndrome; However, these conceptualizations were established initially and primarily using research conducted with incarcerated, Caucasian males. Thus, it is an assumption that abnormalities in these domains characterize psychopathy in other populations. It has been crucial, therefore, for researchers to investigate the generalizability of these characteristics across contexts, age cohorts, cultural groups, and gender, preferably by using methodology similar to that employed in previous research with incarcerated Caucasian males. Recent attempts to generalize psychopathy across gender have adopted this approach (e.g., Jackson, Rogers, Neumann, & Lambert, 2002; Patrick, Verona, & Sullivan, 2000; Sutton, Vitale, & Newman, 2002; Vitale & Newman, 2001; Vitale, Brinkley, Hiatt, & Newman, 2004; Warren, et al., 2003).

Clinically, psychopathic males present as callous and lacking in the ability to experience a normal range and depth of emotional experience (Cleckley, 1976; Hare, 1996). This clinical presentation of emotion dysfunction is exhibited in the laboratory, where psychopathic males have demonstrated deficits in both the processing and the use of emotion stimuli. Specifically, these individuals show decreased electrodermal responsivity in anticipation of an aversive event (Arnett, Howland, Smith, & Newman, 1993), reduced startle potentiation in response to fear-inducing pictures (Flor, Birbaumer, Hermann, Ziegler, & Patrick, 2002; Levenston, Patrick, Bradley, & Lang, 2000; Patrick, Cuthbert, & Lang, 1993; Patrick, Bradley, & Lang, 1993), and an absence of response facilitation to emotional relative to neutral words on a lexical decision task (Lorenz & Newman, 2002a; Williamson, Harpur, & Hare, 1991).

Attempts to generalize these specific abnormalities to psychopathic females have been successful. For example, there is good evidence that psychopathic women endorse many of the same callous, antisocial attitudes as psychopathic men (O’Connor, 2001; Rutherford, Cacciola, Alterman, & McKay, 1996; Vitale, Smith, Brinkley, & Newman, 2002). Further, like psychopathic men, psychopathic women exhibit reduced startle potentiation using a picture viewing paradigm (Sutton et al., 2002).

Psychopathic males are also remarkable for their seeming inability to inhibit maladaptive responding or to learn from prior experience. As Cleckley (1976) noted, the psychopathic individual “…continues to show the most execrable judgment about attaining what one might presume to be his ends… This exercise of execrable judgment is not particularly modified by experience, however chastening his experiences may be” (p. 345). The psychopathic male’s behavioral disinhibition has been demonstrated in the form of poor passive avoidance (i.e., learning to avoid responding to a previously punished stimulus) (e.g., Lykken, 1957; Newman & Kosson, 1986; Newman & Schmitt, 1998; Thornquist & Zuckerman, 1995; Blair, Mitchell, Leonard, et al., 2004), deficits in the ability to delay gratification (Newman, Kosson, & Patterson, 1992), and response perseveration in the face of steadily increasing punishment contingencies (Fisher & Blair, 1998; Newman et al., 1987; O’Brien & Frick, 1996; Siegel, 1978).

Psychopathic women do show elevated rates of criminal behavior, relative to nonpsychopathic women (e.g., Crawley & Martin 2006, Nicholls, Ogloff, Brink, & Spidel, 2005; Rutherford et al., 1996; Salekin, Rogers, Ustad, & Sewell, 1998; Vitale et al., 2002), which suggests a deficit in behavioral regulation. However, laboratory evidence for behavioral inhibition deficits is less clear. In the only study designed to address response perseveration among psychopathic females, Vitale and Newman (2001) administered a response perseveration task that has reliably demonstrated differences between psychopathic and nonpsychopathic males (Newman et al., 1987). In their study, Vitale and Newman (2001) found no evidence for response perseveration among the psychopathic females, suggesting that the deficits in behavioral inhibition exhibited by psychopathic males may not be as readily observed among psychopathic females.

Similarly, in a study of passive avoidance performance among male and female adolescents with relatively high scores on the Antisocial Process Screening Device (Frick & Hare, 2001), males demonstrated the expected deficits in passive avoidance, whereas female did not (Vitale, Newman, Bates, Goodnight, Dodge, & Pettit, 2005).

In contrast, Epstein and colleagues (Epstein 2005, Epstein, Poythress & Brandon 2006) have shown that commission errors on a go/no go passive avoidance task are associated with psychopathy. These results are complicated, however, by analyses using intelligence as a covariate, which indicated that intelligence accounted for a significant proportion of the variance in commission errors.

In the two studies presented here, we undertake to increase our understanding of psychopathy in women by testing for specific deficits in affective and behavioral processes previously demonstrated among psychopathic males. If the performance of psychopathic women in this sample is consistent with that of psychopathic males, we should see that psychopathic women will show significantly less response facilitation to emotion words on a lexical decision task relative to nonpsychopathic women. In addition, we should demonstrate that psychopathic women will show deficient behavior regulation in the form of poor passive avoidance on a go/no go task.

Evidence for abnormalities in these domains would provide additional support for the cross-gender generalizability of the psychopathy construct as it is currently defined. Conversely, if the predicted deficits are not apparent, as has been the case in a limited number of emerging studies (e.g., Justus & Finn 2007, Phillips 2007, Vablais 2007, Vitale & Newman, 2001, Vitale et al. 2005) it would suggest that important differences in the etiology, expression, and/or assessment of the syndrome are present across gender.

General Methods

Participants

Participants were Caucasian females incarcerated at the Taycheedah Correctional Institution, a multi-security level prison in central Wisconsin. A file prescreen was conducted to exclude individuals who were 45 or more years old, who had performed below the 4th grade level on the prison’s standardized measures of reading or math achievement, or who had diagnoses of bipolar disorder or psychosis.

Individuals meeting the inclusion criteria were invited to participate in an ongoing study being conducted at the prison. All participants were presented with the elements of informed consent both orally and in writing.

Psychopathy Assessment

Psychopathy was assessed using the PCL-R (Hare, 2003). The PCL-R is composed of 20 items that tap the personality and behavioral characteristics of psychopathy. Each item is rated as 0 (not present), 1 (may be present), or 2 (definitely present). PCL-R scores were based upon information gathered during one-hour semi-structured interviews and reviews of the inmates’ prison files (including pre-sentence investigation/s and conduct reports) that were conducted by trained graduate students.

Historically, scores of 30 and above have been recommended for classifying participants as psychopathic (Hare, 1991). Although this score has served as the hallmark in much experimental research, there are data suggesting that this cut score may not apply to all populations (e.g., Cooke, 1996; Cooke & Michie, 1997).

There is also evidence that this may be the case for female populations. First, the base-rates for psychopathy in women using the traditional cut score are lower than in men. For example, in a sample of female methadone patients, Rutherford et al. (1996) did not find any women scoring above 30 on the PCL-R. This was not the case among male methadone patients (Alterman, Cacciola, & Rutherford, 1993). Similarly, although the base-rate for psychopathy in male prison populations typically ranges from 15–30% (Salekin, Rogers, Ustad, & Sewell, 1998), among incarcerated women, the base-rates have been as low as 11% (Neary, 1990; Loucks, 1995) and 9% (Vitale et al., 2001).

Second, Bolt, Hare, Vitale, and Newman (2004) compared the test characteristic curves of the PCL-R for male and female samples and found that the curve for females differed significantly from that of a male offender reference group. This difference translates to differences across gender at each level of the latent psychopathy trait. As a result, the level of the latent trait roughly equivalent to the diagnostic cut-off of 30 differs for males and females (Bolt et al., 2004).

Finally, although the PCL-R assesses much more than antisocial behavior, antisocial behavior is an important component of the instrument. For example, high scores on items such as “Juvenile Delinquency”, “Criminal Versatility” and “Revocation of Conditional Release” all depend on extensive histories of criminal behavior. While there are clearly women with such histories, rates of violent and criminal behavior are typically higher for males than females (Goldstein, Powers, McCusker, & Mundt, 1996; Zoccolillo, 1993).

Taken together, these findings suggest that a cut score based upon findings in male samples may not be applicable to a female population. As a result, in the current study, we utilize an alternative cut score of 24, which has demonstrated utility in other studies (e.g., Vitale et al, 2007). This score creates percentages of psychopathic women similar to those found in male samples. Further, this cut score results in larger sample sizes more likely to yield reliable estimates of performance. However, in order to facilitate a direct comparison across studies of males and females, means, standard deviations, analyses and effects sizes for participants scoring 30 and higher on the PCL-R are included in both studies.

Additional materials

The Shipley Institutes of Living Scale (SILS; Zachary, 1986). The SILS is a measure of intellectual functioning. It consists of a 40-item vocabulary test and a 20-item abstraction test. The measure can be used to obtain reliable estimates of Wechsler Adult Intelligence Scales- Revised (WAIS-R) scores (Zachary, 1986). The SILS has demonstrated good psychometric properties including split-half reliabilities ranging from .84–.92 (Zachary, 1986). In keeping with previous studies of psychopathic males, participants with borderline or lower intelligence (i.e., <70) were excluded from the analyses.

The Welsh Anxiety Scale (WAS; Welsh, 1956). The WAS is a 39-item true/false questionnaire that was derived from the MMPI to measure anxiety and negative affect. Consistent with Gray’s (1991) anxiety construct, the WAS correlates approximately .66 with neuroticism and .33 with introversion. In this sample, the internal consistency of the WAS was, alpha = .92. Median splits on the WAS were used to divide participants into high- and low-anxious groups.

Procedure

On the first day of the study, a semi-structured interview was conducted to aid in psychopathy assessments. Following the interview, participants completed the SILS, WAS, and SCL-90. Participants returned for 2–4 subsequent sessions. These sessions typically occurred 1–2 weeks apart. Each of the laboratory tasks presented here were included with 2–3 others tasks in one hour testing sessions. Participants were tested individually by a female experimenter who was blind to group

Study One

Research with males has demonstrated abnormalities in the lexical-decision task performance of psychopathic versus non-psychopathic individuals (Lorenz & Newman 2002a; Steuerwald & Kosson, 2000; Williamson et al, 1991). On such tasks, which require participants to determine if a briefly presented letter string is a word or non-word, control participants respond more quickly to emotion words relative to non-emotion words (e.g., Challis & Krane, 1988; Graves, Landis, & Goodglass, 1981; Strauss, 1983). However, psychopathic males fail to exhibit this facilitated response speed for emotional words, although they do not differ from controls in their ratings of the emotion content of the words (Lorenz & Newman, 2002a; Williamson et al., 1991).

There may be important limitations to the lexical decision finding, however, that must be taken into account when testing the generalizability of the deficit to women. First, the deficit does not appear to generalize to psychopathic African-American males (Lorenz & Newman, 2002b). Further, the deficit in response facilitation is also associated with Antisocial Personality Disorder in both males and females (Lorenz & Newman, 2002c). Finally, in their initial study, Lorenz & Newman (2002a) found that the deficit was relatively specific to low-anxious psychopathic males when they were responding with their right hand, which is consistent with a growing body of research suggesting that deficient performance of psychopathic individuals may be particularly apparent on tasks that involve left hemisphere activation (e.g., Bernstein, Newman, Wallace, & Luh, 2000; Kosson, 1996).

In light of these constraints, the current study will test the hypothesis that Caucasian, low-anxious psychopathic women will not show response facilitation to emotion words relative to a comparison groups of nonpsychopathic women on lexical-decision trials involving right handed response. For completeness, data for high-anxious women, and trials involving left-handed responses will be presented. Further, given Lorenz & Newman’s (2002c) finding that ASPD is associated with increased facilitation to emotion words among females, we will control for diagnoses of ASPD.

Method

Participants

Participants were 117 Caucasian female inmates. Participants were excluded if they had low intelligence (estimated WAIS < 70) or were left-handed (total scores on Chapman Handedness Scale >= 21; Chapman & Chapman, 1987). This process yielded 111 participants.

Using a PCL-R cut-scores of 24 and 14 and a median split on the WAS yielded the following groups: 20 low-anxious controls, 10 low-anxious psychopaths, 16 high-anxious controls, and 15 high-anxious psychopaths.

Task and Stimuli

The LD task used in this study is identical to the one used by Lorenz and Newman (2002a,b,c). The stimuli in the lexical decision task consisted of 12 positive words, 12 negative words, 24 neutral words, and 48 non-words and were grouped into four experimental blocks. Each experimental block consisted of 3 positive, 3 negative, 6 neutral, and 12 non-words. In addition, a practice block consisted of 12 neutral words and 12 non-words that differed from the words used for the test trials.

The positive, negative, and neutral words for the experimental trials were selected from Rubin and Friendly’s (1986) word list and matched on frequency, pronounceability, length, number of letters, number of syllables, concreteness, and imagery as described by Lorenz and Newman (2002a). Changing two letters for each of the words used in the experiment resulted in the 48 pronounceable non-words.

The stimuli were presented in a central position on a computer screen for 100 ms. The participants responded by pressing either the “D” and “F” keys (right-handed responses) or the “J” and “K” keys (left-handed responses) on a standard keyboard. Participants used their index fingers to indicate if the presented stimulus was a word and their middle finger to indicate if the presented stimulus was a non-word. The “F” and “J” keys each were covered with a small blue sticker and indicated that the presented stimulus was a word. The “D” and “K” keys each were covered with small white sticker and indicated that the presented stimulus was a non-word.

Procedures

A tester, who was blind to group membership of the participants, was in the room with the participants running the computer program and administering the questionnaires. Participants were seated in front of a computer monitor and read the following task instructions on the computer screen:

“This experiment involves focusing on a fixation point and then viewing a group of letters. Half of the time the letters will spell a word, and half of the time they will not. Your job is to press the blue dot if the letters spell a word or press the white dot if they do not spell a word. Respond as quickly as you can without making mistakes. Remember: Press the blue dot for words, the white dot for non-words. For this block, please use your right hand.”

All participants began the experiment responding with their right hand and then alternated their response hand after each block. Between each block participants had a 10-second rest period. After the rest period, participants were instructed to prepare for the next block and were reminded of which hand to use for their responses. The four experimental blocks (A, B, C, D) were presented in the following order: A, B, C, D, B, A, D, C, so that each block was completed once with the right hand and once with the left hand. After completing the fourth block of experimental trials, the participants were given a 30-second break. The entire task lasted approximately 20 minutes.

Results and Discussion

Correlations between variables are presented in Table 1.

Table 1.

Bivariate correlations between variables in Study 1 (n=111)

1 2 3 4 5
1. Emotion Facilitation 1.0
2. PCL-R .27** 1.0
3. WAS −.02 .13 1.0
4. APD .30** .44** .00 1.0
5. IQ −.06 −.14 −.27** −.16 1.0

Note. PCL-R= Psychopathy Checklist-Revised total score; WAS= Welsh Anxiety Scale total score; IQ= Shipley Institutes of Living Scale estimated WAIS-R IQ; APD= Diagnosis of Antisocial Personality Disorder”.

p<.05=*; p<.01=**

RT analyses used data from correct responses only. Initial analyses of overall reaction time revealed no significant effects of psychopathy level F(1, 60)= .081, n.s., or anxiety F(1, 60)= .017, n.s., and no significant psychopathy × anxiety interaction F(1, 60)= .364, n.s.

Psychopathy

A 2 (psychopath or control) X 2 (WAS anxious or non-anxious) X 2 (left versus right hand response) X 3 (positive, neutral, and negative words) mixed-model ANCOVA was conducted, with psychopathy and anxiety as the between-participant factors and valence and hand of response as the within-participant factors. Given the results of Lorenz and Newman (2002c), diagnoses of Antisocial Personality Disorder were used as a covariate in all analyses

Consistent with Lorenz and Newman (2002c), APD diagnosis was a significant predictor of emotion facilitation, F(1, 56) = 4.49, p<.05. There were no significant main effects or interactions for either valance or hand of response. Further, there was no significant main effect for psychopathy, F (1, 56) = 1.69, n.s., and no significant psychopathy × anxiety interaction, F (1, 56) = .34, n.s.

Given the absence of an effect for valence or for hand of response, a One-Way ANCOVA was used to examine emotion facilitation among low-anxious psychopathic individuals and controls, specifically. The analysis showed no effect for psychopathy, F (1, 27) = .05, n.s (d= .24)

Means and standard errors can be found on Table 2.

Table 2.

Mean response facilitation for high- and low-anxious psychopathic and non-psychopathic participants after covarying diagnoses of Antisocial Personality Disorder

Low-anxious High-anxious

Non-psychopathic n= 20 Psychopathic n=10 Non-psychopathic n=16 Psychopathic n=15

M (SE) M (SE) M (SE) M (SE)
Response facilitation 24.83 (7.14) 32.50 (9.96) 9.36 (7.50) 26.13 (8.12)

Supplemental analyses

Using the traditional PCL-R cut scores of 30 and 20 yielded 20 low-anxious controls (Mean facilitation= 25.60, SE= 7.70) and 5 low-anxious psychopathic individuals (Mean facilitation= 20.35, SE= 19.35). A one-way ANCOVA testing for differences in emotion facilitation between these groups showed no significant difference, F(1,24)= .05, n.s.(d=.13)

Overall, results from the lexical decision task failed to support the hypothesis that the emotion deficit exhibited by psychopathic males would generalize to females. Although previous research has failed to demonstrate this deficit across ethnicity (Lorenz & Newman, 2002b), the failure to demonstrate the deficit among Caucasian females is unexpected given research that demonstrates the generalizability of alternative emotion paradigms across gender (e.g., Sutton et al., 2002, cf Justus & Finn, 2007).

Study Two

Deficient behavioral inhibition in the form of poor passive avoidance is a core feature of psychopathy. Numerous studies utilizing a variety of tasks demonstrate that male psychopathic offenders display poor passive avoidance (e.g., Arnett, Smith, & Newman, 1997; Blair et al., 2004; Lykken, 1957; Newman, Patterson, Howland, & Nichols, 1990; Newman & Schmitt, 1998; Thornquist & Zuckerman, 1995). As noted above, however, limited research with psychopathic females has failed to replicate deficits in behavioral inhibition in the laboratory (Vitale & Newman, 2001), which is consistent with research from adolescent females with severe conduct problems (Hartung, Milich, Lynam, & Martin, 2002; Moffitt, Caspi, Rutter, & Silva, 2001; Vitale et al., 2005).

In the current study, we test the generalizability of the passive avoidance deficit to psychopathic women using a passive avoidance task that has differentiated the performance of incarcerated male psychopaths and controls (Newman & Schmitt, 1998). This go/no-go discrimination task involves presenting two-digit numbers on a computer screen and requires participants to learn whether responses to particular numbers are rewarded or punished. Responding to a “bad” (i.e. punished) number instead of inhibiting a response represents a passive avoidance error (i.e., error of commission) and is typically used to measure impulsivity. In this particular task, a disinhibited “go” response bias is encouraged because individuals (a) have to respond in order to receive response feedback which is necessary for discriminating between good or bad numbers and (b) are given reward feedback on the first several trials. The latter is important because research suggests that psychopathic males are more likely to exhibit disinhibited responding when they are required to alter a pre-potent “go” response set (e.g., Newman et al., 1990).

If this deficit is similar in males and females, we would predict that psychopathic females would commit significant more passive avoidance (i.e., commission) errors than a comparison group of nonpsychopathic females.

Method

Participants

Participants were 220 Caucasian female offenders. The elements of informed consent were presented both orally and in written form.

After excluding participants who always or never responded, or who had low intelligence (estimated WAIS < 70), there were 204 participants remaining. Using the median score on the WAS (median = 16), we subdivided psychopathic and nonpsychopathic groups into high- and low-anxious groups, resulting in 40 low-anxious controls, 22 low-anxious psychopaths, 23 high-anxious controls, and 28 high-anxious psychopaths.

Task and Stimuli

The passive avoidance task was administered with a PC computer and 14-in. monitor. Responses were recorded with an 8 × 5 × 2.5 cm button box with one push button (1.5 cm) on the top surface of the box. The task was identical to the go/no-go discrimination task used by Newman and Schmitt (1998). Participants were instructed to learn by trial and error when to respond (by pressing a button) and when not to respond. Stimuli consisted of 10 two-digit numbers (03, 15, 42, 69, 74, 21, 38, 57, 84, 96) presented in nine pseudorandomized sequences for a total of 90 test trials. Each number was presented on the monitor as white light on a dark background and measured approximately 1.8 cm high and 1.1 cm wide. The stimulus sign of the 10 stimulus numbers was counterbalanced so that the stimuli serving as S+ stimuli (i.e., go stimuli) for one half of the participants (e.g., the first 5 numbers listed above) served as S- stimuli (i.e., no-go stimuli) for the other half.

Following Newman and Schmitt (1998), participants received a reward pretreatment, during which each of the S+ stimuli was presented as in the test trials. The purpose of the pretreatment was to establish a dominant response set for reward by providing a high probability of reward for responding at the beginning of the task (see also Siegel, 1978 and Newman et al., 1990). Test trials began immediately after the five-trial pretreatment with no noticeable break. Throughout the pretreatment and test trials, each response resulted in visual, auditory, and monetary feedback. Following a correct response, the stimulus number was immediately replaced by the message “You WIN 10 cents!” A high-pitched tone (400 Hz) was then presented, and the experimenter gave the participant a plastic chip worth 10 cents. If the response was incorrect, the message “You LOSE 10 cents.” appeared, a low tone (100 Hz) occurred, and the experimenter removed a chip. No feedback was provided in the absence of a response. The stimulus duration was 2.5 s and the intertrial interval was fixed at 1 s. Participants received 10 chips prior to beginning the task. A tester who was blind to participants’ group membership sat next to participants to dispense and remove chips.

Results and Discussion

Correlations between variables are presented in Table 3.

Table 3.

Bivariate correlations between variables in Study 2(n=204)

1 2 3 4 5
1. Omission Errors 1.0
2. Commission Errors −.46** 1.0
3. PCL-R −.04 .06 1.0
4. WAS −.02 .05 .19** 1.0
5. IQ −.04 −.19** −.19** −.29** 1.0

Note. PCL-R= Psychopathy Checklist-Revised total score; WAS= Welsh Anxiety Scale total score; IQ= Shipley Institutes of Living Scale estimated WAIS-R IQ. p<.05=*; p<.01=**

As in prior studies (e.g., Newman & Kosson, 1986, Newman et al., 1990, Newman & Schmitt, 1998), data for the first block of test trials were not analyzed.

To analyze errors, a 2 (psychopathic or control) × 2 (anxious or control) × 2 (passive avoidance or omission errors) mixed-model analysis of variance (ANOVA) with psychopathy and anxiety (i.e., WAS), as the between-participant variables and type of error as the within-participant variable was conducted. Further, given a significant association between IQ and passive avoidance errors (r(208)= −.19, p<.05) WAIS-R scores were used as a covariate in all analyses.

Consistent with the need to establish a dominant “go” response set when assessing failures to inhibit dominant response the analysis revealed a significant effect for error type, F(1, 108) = 4.34, p< .05, with participants committing more commission (i.e., “passive avoidance”) errors than omission errors (see Table 4).

Table 4.

Mean errors on the passive avoidance task for high- and low-anxious psychopathy groups after covarying WAIS-R estimated intelligence

Low-anxious High-anxious

Non-psychopathic n= 40 Psychopathic n=22 Non-psychopathic n=23 Psychopathic n=28

M (SE) M (SE) M (SE) M (SE)
Omission Errors 8.58 (1.26) 7.65 (1.64) 7.68 (1.60) 7.63 (1.52)

Commission Errors 15.65 (1.40) 17.25 (1.81) 18.25 (1.77) 15.16 (1.68)

Contrary to hypothesis, the results showed no significant main effect for psychopathy (F(1, 108)= .46, n.s.), and no significant psychopathy × anxiety interaction (F(1,108) = 1.25, n.s.). Further, planned comparisons revealed that low-anxious psychopaths did not commit more commission avoidance errors than low-anxious controls (M= 17.25, SE= 1.81 versus M=15.65, SE=1.40), t(60) = 1.06. n.s. (d=.18)

Supplemental analyses

Using the traditional PCL-R cut scores of 30 and 20 yielded 76 low-anxious controls and 13 low-anxious psychopathic individuals. A planned comparison revealed no significant difference between these two groups in the number of commission errors performed (M= 15.77, SE= .98 versus M= 18.12, SE=2.36 respectively), t(87)= 1.28, n.s. (d= .27).

The results of Study 2 failed to support the generalizability of a passive avoidance deficit to this sample of Caucasian psychopathic females. This is consistent with research with adolescent females (e.g., Hartung et al., 2002; Vitale et al., 2005) and suggests that the passive avoidance deficit may not be expressed by psychopathic females as it is by psychopathic males.

General Discussion

Male psychopaths consistently demonstrate less emotion facilitation than controls on lexical decision tasks (Lorenz & Newman, 2002a; Williamson et al., 1991), and poor passive avoidance (e.g., Blair et al., 2004; Newman & Kosson, 1986; Newman & Schmitt, 1998; Thornquist & Zuckerman, 1995). However, the results of both Study 1 and Study 2 failed to support the generalizability of these deficits to psychopathic females. In Study 1, we used a lexical decision task to test the prediction that low-anxious, psychopathic, Caucasian female prisoners would show less emotion facilitation than low-anxious Caucasian female controls. Results failed to support this hypothesis. In Study 2, we used a passive avoidance task to test the prediction that low-anxious, psychopathic Caucasian females would commit more passive avoidance errors than low-anxious, Caucasian female controls. Contrary to prediction, these two groups did not differ in passive avoidance performance. Thus, the results from both studies suggest that the laboratory performance of psychopathic males does not consistently replicate in females

Based on studies of psychopathic males, abnormalities in affective processing and behavioral regulation are considered core features of the psychopathy syndrome. Taken together with results from other studies testing response inhibition (e.g., Vitale & Newman, 2001; Vitale et al., 2005) and emotion processing (e.g., Phillips, 2007; Justus & Finn, 2007), the present results strongly suggest that these deficits may be less apparent among psychopathic females. This is striking, in light of research that demonstrates that other abnormalities in emotion processing and behavioral regulation demonstrated by psychopathic males have generalized across gender.

One potential framework for understanding these inconsistent findings is the response modulation hypothesis (RMH; Newman, 1998). A key component of the RMH concerns the distinction between a person’s dominant response set (i.e., focus of selective attention) and secondary cues that are potentially relevant to the dominant response set. According to the RMH, many of the behavioral and emotional abnormalities demonstrated by psychopathic individuals stem from a deficit in these individuals’ ability to allocate sufficient attentional capacity to secondary cues that would, otherwise, suggest more adaptive evaluations and/or responses. This failure to devote sufficient attention to potentially important contextual information is referred to as a deficit in response modulation (e.g., Newman & Wallace, 1993).

Importantly, previous research with male psychopaths has demonstrated adequate responsivity to secondary cues when the importance of processing these cues is made salient from the outset of the task and when the participants are given sufficient time to process the relevant information (Arnett et al., 1993; Newman et al., 1990). For example, psychopathic males performed normally in a punishment-only condition of the passive avoidance task (Newman & Kosson, 1986), potentially because avoiding punishment cues was part of the psychopaths’ dominant set. This interpretation is supported by Newman et al. (1990) who predicted and found that psychopaths performed normally on a passive avoidance task when they were required to attend to both reward and punishment cues from task onset.

In both tasks utilized here, abnormal responding is viewed as the result of insensitivity to secondary cues of the type described by the RMH. In the lexical decision task, the secondary information is the affective content of the word, whereas in the passive-avoidance task, the secondary information is the punishment following responses to a “bad” number. On this basis, the RMH provides a framework for examining gender differences in psychopathy and the inconsistent results in the literature. Specifically, in the context of the RMH, it might be hypothesized that gender differences across tasks are the result of gender differences in the tendency to allocate attention to threat and other emotion-related cues in the environment. If women in general attend to threat and emotion more automatically than men, psychopathic females may profit from this bias in a way that psychopathic men cannot.

Although the literature on gender differences is complicated, this formulation has some support. For example, women and men with high anxiety-sensitivity show differences in their perceptions of threatening stimuli, with females demonstrating greater responsivity to physical threat words than males (Stewart, Conod, Gignac, & Pihl, 1998). Gender also may play a role in the relation between attentional bias towards threat stimuli and experience of anxiety symptoms. Nay, Thorpe, Roberson-Nay, Hecker, and Sigmon (2004) found that the attentional bias towards threat was a stronger predictor of anxiety symptomotology among their female participants, relative to their male participants, suggesting some difference across gender in the perception and response to threat cues.

Additionally, Eisenberg and her colleagues (Eisenberg, Fabes, Schaller, & Muller, 1989) have concluded that differences in facial and self-report indexes of emotion indicate “greater responsivity” for females, suggesting that women may be more reactive to threatening or emotionally-relevant information than men. Finally, in a study of personality in 37 countries, Lynn and Martin (1997) found that women had lower extraversion scores than men (although see Feingold, 1994), whereas women consistently have higher neuroticism scores than men (Lynn & Martin, 1997; Martin & Kirkcaldy, 1998). This may provide support for the idea that women are more sensitive to punishment cues than men. Additional research also suggests that, in addition to differences in the perception of threat cues across gender, males and females may differ in their responses to these cues. That is, although men may be less generally responsive to these cues, when they do respond, they do so through action. Women, although generally more sensitive to these cues, may be more likely to respond by attempting to understand the predictability of events through reflection (see Mineka & Kihlstrom, 1978; Patterson & Newman, 1993). Thus, differences in responsivity to secondary cues may be augmented further by gender differences in the tendency to engage in behavioral inhibition.

Consistent with this, research has found that adolescent boys have elevated rates of externalizing disorders while girls have higher rates of internalizing disorders (Cauce et al., 2000; Gjerde, Block, & Block, 1988). Similarly, relative to adult men, adult women are two to three times more likely to have panic disorder, are three times more likely to experience Dysthymia, and have twice as many episodes of Major Depression (American Psychiatric Association, 1994). Males are more likely than females to be diagnosed with Conduct Disorder (CD), their rates of Attention Deficit/Hyperactivity Disorder range from 4 to 9 times greater than females, and the prevalence for a diagnosis of Antisocial Personality Disorder (APD) is 3% in males compared to 1% in females (American Psychiatric Association, 1994).

Gender differences in behavioral inhibition have also been observed in laboratory settings. Fillmore & Weafer (2004) found that, under a moderate dose of alcohol, male participants were significantly less able to inhibit a prepotent (i.e., “dominant”) response than female participants on a go/no go task. This difference in behavioral inhibition has also been demonstrated among males and females with externalizing problems, with males appearing less able to inhibit responding than females (Hartung et al., 2002; Moffitt et al., 2001). Taken together, this research suggests that males and females may differ in their response biases and sensitivity to threatening and affective cues.

The results of the lexical decision and passive avoidance tasks could be explained on the basis of such differences. On the lexical decision task, it is assumed that a word will activate semantic, phonological, orthographic and other word-related networks (Plaut, 1997; Seidenberg & McClelland, 1989), whereas an emotion word activates an emotion-related network (Balota & Chumbley, 1984; Bower, 1981). If the emotion facilitation demonstrated by controls on the lexical-decision task reflects the combined activation of both the word-related and emotion-related networks, then the gender difference found among psychopathic individuals may be better understood as a difference in the activation of the emotion-related network across gender. That is, because emotion-relevant information may more easily perceived by the female participants than the male participants, the psychopathic female benefits from the relatively stronger and faster activation of this network in comparison to psychopathic males.

On the passive avoidance task, psychopathic males show increased passive avoidance errors relative to controls when rewards and punishments are given. According to the current formulation, this is because their attentional capacity is dedicated to an approach/reward set established by the prepotent “go” response. As a result, the secondary punishment cues are not as easily perceived by these psychopathic males.

In the current study, low-anxious psychopathic females did not show this same pattern of responding. Potentially, as a result of gender differences in sensitivity to punishment and threat, the dominant set of a female psychopath includes both reward and punishment cues. Reward cues are made particularly salient by the reward pre-treatment. Punishment cues, on the other hand, may be salient because of a female sensitivity to punishment cues. With both types of cues included in their dominant set, dedicating all their capacity to this set does not prevent the perception and use of any task-relevant cue. Thus, psychopathic females perform normally on the task.

To date, research has established the reliability and utility of PCL-R assessments in female offenders, but it has also revealed inconsistencies in the laboratory performance of psychopathic males and females. Clarifying these inconsistencies is likely to require a more theoretically sophisticated view of the psychopath’s processing limitations. Towards this end, we have provided an explanation rooted in the specifications of the Response Modulation hypothesis and the ways that gender may interact with these specifications. Although clearly speculative at this point, this Response Modulation-based formulation provides a means not only to reconcile the seemingly inconsistent results in the field, but also suggests new research hypotheses that could considerably expand our understanding of the psychopathy in women and men.

References

  1. Alterman AI, Cacciola JS, Rutherford MJ. Reliability of the Revised Psychopathy Checklist in substance abuse patients. Psychological Assessment. 1993;5:442–448. [Google Scholar]
  2. American Psychiatric Association. Diagnostic and Statistical Manual of Mental Disorders. Washington, DC: American Psychiatric Association; 1994. [Google Scholar]
  3. Arnett PA, Howland EW, Smith SS, Newman JP. Autonomic responsivity during passive avoidance in incarcerated psychopaths. Personality and Individual Differences. 1993;14(1):173–184. [Google Scholar]
  4. Arnett PA, Smith SS, Newman JP. Approach and avoidance motivation in incarcerated psychopaths during passive avoidance. Journal of Personality and Social Psychology. 1997;72:1413–1428. doi: 10.1037//0022-3514.72.6.1413. [DOI] [PubMed] [Google Scholar]
  5. Balota DA, Chumbley JI. Are lexical decisions a good measure of lexical access? The role of word frequency in the neglected decision stage. Journal of Experimental Psychology: Human Perception and Performance. 1984;10(3):340–357. doi: 10.1037//0096-1523.10.3.340. [DOI] [PubMed] [Google Scholar]
  6. Bernstein A, Newman JP, Wallace JF, Luh KE. Left hemisphere activation and deficient response modulation in psychopaths. Psychological Science. 2000;11:414–418. doi: 10.1111/1467-9280.00280. [DOI] [PubMed] [Google Scholar]
  7. Blair RJR, Mitchell DGV, Leonard A, Budhani S, Peschardt KS, Newman C. Passive avoidance learning in individuals with psychopathy: Modulation by reward but not by punishment. Personality and Individual Differences. 2004;37:1179–1192. [Google Scholar]
  8. Bolt DM, Hare RD, Vitale JE, Newman JP. A multigroup Item Response Theory analysis of the Psychopathy Checklist-Revised. Psychological Assessment. 2004;16(2):155–168. doi: 10.1037/1040-3590.16.2.155. [DOI] [PubMed] [Google Scholar]
  9. Bower GH. Mood and Memory. American Psychologist. 1981;36(2):129–148. doi: 10.1037//0003-066x.36.2.129. [DOI] [PubMed] [Google Scholar]
  10. Cauce AM, Paradise M, Ginzler JA, Embry L, Morgan CJ, Lohr Y, Theofelis J. The characteristics and mental health of homeless adolescents: Age and gender differences. Journal of Emotional and Behavioral Disorders. 2000;8(4):230–239. [Google Scholar]
  11. Challis BH, Krane RV. Mood induction and the priming of semantic memory in a lexical decision task: Asymmetric effects of elation and depression. Bulletin of the Psychonomic Society. 1988;26:309–312. [Google Scholar]
  12. Chapman LJ, Chapman JP. The measurement of handedness. Brain and Cognition. 1987;6(2):175–183. doi: 10.1016/0278-2626(87)90118-7. [DOI] [PubMed] [Google Scholar]
  13. Cleckley H. The Mask of Sanity. St Louis: Mosby; 1976. [DOI] [PubMed] [Google Scholar]
  14. Cooke DJ. Psychopathic personality in different cultures: What do we know? What do we need to find out? Journal of Personality Disorders. 1996;10:23–40. [Google Scholar]
  15. Cooke DJ, Michie C. An item response theory analysis of the Hare Psychopathy Checklist-Revised. Psychological Assessment. 1997;9:3–14. doi: 10.1037/1040-3590.16.2.155. [DOI] [PubMed] [Google Scholar]
  16. Crawley T, Martin FH. Impulsive-aggression, antisocial behaviour, and subclinical psychopathy: Preliminary findings from an undergraduate female sample. Psychiatry, Psychology, and Law. 2006;13:232–242. [Google Scholar]
  17. Eisenberg N, Fabes RA, Schaller M, Miller PA. Sympathy and personal distress: Development, gender differences, and interrelations of indexes. New Directions for Child Development, Sum. 1989;(44):107–126. doi: 10.1002/cd.23219894408. [DOI] [PubMed] [Google Scholar]
  18. Epstein MK. The response modulation hypothesis and female offenders: A construct extension. 2005 Unpublished doctoral dissertation. [Google Scholar]
  19. Epstein MK, Poythress NG, Brandon KO. The Self-Report Psychopathy Scale and Passive Avoidance Learning: A validation Study of Race and Gender Effects. Assessment. 2006;13:197–207. doi: 10.1177/1073191105284992. [DOI] [PubMed] [Google Scholar]
  20. Feingold A. Gender differences in personality: A meta-analysis. Psychological Bulletin. 1994;116(3):429–456. doi: 10.1037/0033-2909.116.3.429. [DOI] [PubMed] [Google Scholar]
  21. Fillmore MT, Weafer J. Alcohol impairment of behavior in men and women. Addiction. 2004;99:1237–1246. doi: 10.1111/j.1360-0443.2004.00805.x. [DOI] [PubMed] [Google Scholar]
  22. Fisher L, Blair RJR. Cognitive impairment and its relationship to psychopathic tendencies in children with emotional and behavioral difficulties. Journal of Abnormal Psychology Child Psychology. 1998;26:511–519. doi: 10.1023/a:1022655919743. [DOI] [PubMed] [Google Scholar]
  23. Flor H, Birbaumer N, Hermann C, Ziegler S, Patrick CJ. Aversive Pavolvian conditioning in psychopaths: Peripheral and central correlates. Psychophysiology. 2002;39:505–518. doi: 10.1017.S0048577202394046. [DOI] [PubMed] [Google Scholar]
  24. Frick PJ, Hare RD. The Antisocial Process Screening Device. Toronto: Multi-Health Systems; 2001. [Google Scholar]
  25. Gjerde PF, Block J, Block JH. Depressive symptoms and personality during late adolescence: Gender differences in the externalization of symptom expression. Journal of Abnormal Psychology. 1988;97(4):475–486. doi: 10.1037//0021-843x.97.4.475. [DOI] [PubMed] [Google Scholar]
  26. Goldstein RB, Powers SI, McCusker J, Mundt KA. Gender differences in the manifestations of antisocial personality disorder among residential drug abuse treatment clients. Drug and Alcohol Dependence. 1996;41:35–45. doi: 10.1016/0376-8716(96)01222-7. [DOI] [PubMed] [Google Scholar]
  27. Graves R, Landis T, Goodglass H. Laterality and sex differences for visual recognition of emotional and non-emotional words. Neuropsychologia. 1981;19:95–102. doi: 10.1016/0028-3932(81)90049-x. [DOI] [PubMed] [Google Scholar]
  28. Gray JA. Neural systems, emotion and personality. In: John Madden., IV, editor. Neurobiology of Learning, Emotion, and Affect. New York: Raven Press, Ltd; 1991. pp. 273–396. [Google Scholar]
  29. Hare RD. Psychopathy: A clinical construct whose time has come. Criminal Justice and Behavior. 1996;23:25–54. [Google Scholar]
  30. Hare . Manual for the Hare Psychopathy Checklist-Revised. 2. Toronto, ON: Multi-Health Systems; 2003. [Google Scholar]
  31. Hartung CM, Milich R, Lynam DR, Martin CA. Understanding the relations among gender, disinhibition, and disruptive behavior in adolescents. Journal of Abnormal Psychology. 2002;111:659–664. doi: 10.1037//0021-843x.111.4.659. [DOI] [PubMed] [Google Scholar]
  32. Jackson RL, Rogers R, Neumann CS, Lambert PL. Psychopathy in female offenders: An investigation of its underlying dimensions. Criminal Justice and Behavior. 2002;29(6):692–704. [Google Scholar]
  33. Justus AN, Finn PR. Startle modulation in non-incarcerated men and women with psychopathic traits. Personality and Individual Differences. 2007;43:2057–2071. doi: 10.1016/j.paid.2007.06.020. [DOI] [PMC free article] [PubMed] [Google Scholar]
  34. Kosson DS. Psychopathy and dual-task performance under focusing conditions. Journal of Abnormal Psychology. 1996;105:391–400. doi: 10.1037//0021-843x.105.3.391. [DOI] [PubMed] [Google Scholar]
  35. Levenston GK, Patrick CJ, Bradley MM, Lang PJ. The psychopath as observer: Emotion and attention in picture processing. Journal of Abnormal Psychology. 2000;109:373–389. [PubMed] [Google Scholar]
  36. Lorenz AR, Newman JP. Deficient response modulation and emotion processing in low-anxious Caucasian psychopathic offenders: Results from a lexical decision task. Emotion. 2002a;2:91–104. doi: 10.1037/1528-3542.2.2.91. [DOI] [PubMed] [Google Scholar]
  37. Lorenz AR, Newman JP. Do emotion and information processing deficiencies found in Caucasian psychopaths generalize to African-American psychopaths? Personality and Individual Differences. 2002b;32:1077–1086. [Google Scholar]
  38. Lorenz AR, Newman JP. Utilization of emotion cues in male and female offenders with antisocial personality disorder: Results from a lexical decision task. Journal of Abnormal Psychology. 2002c;111:513–516. doi: 10.1037//0021-843x.111.3.513. [DOI] [PubMed] [Google Scholar]
  39. Loucks AD. Criminal behavior, violent behavior, and prison maladjustment in federal female offenders. Queen’s University; Kingston, Ontario: 1995. Unpublished doctoral dissertation. [Google Scholar]
  40. Lykken DT. A study of anxiety in the sociopathic personality. Journal of Abnormal Psychology. 1957;55:6–10. doi: 10.1037/h0047232. [DOI] [PubMed] [Google Scholar]
  41. Lykken DT. The Antisocial Personalities. Hillsdale, NJ: Lawrence Erlbaum Associates; 1995. [Google Scholar]
  42. Lynn R, Martin T. Gender differences in extraversion, neuroticism, and psychoticism in 37 nations. Journal of Social Psychology. 1997;137(3):369–373. doi: 10.1080/00224549709595447. [DOI] [PubMed] [Google Scholar]
  43. Martin T, Kirkcaldy B. Gender differences on the EPQ-R and attitudes to work. Personality and Individual Differences. 1998;24(1):1–5. [Google Scholar]
  44. Mineka S, Kihlstrom JF. Unpredictable and uncontrollable events: A new perspective on experimental neurosis. Journal of Abnormal Psychology. 1978;87(2):256–271. doi: 10.1037//0021-843x.87.2.256. [DOI] [PubMed] [Google Scholar]
  45. Moffitt TE, Caspi A, Rutter M, Silva PA. Sex differences in antisocial behavior. London: Cambridge University Press; 2001. [Google Scholar]
  46. Nay WT, Thorpe GL, Roberson-Nay R, Hecker JE, Sigmon ST. Attentional bias to threat and emotional response to biological challenge. Journal of Anxiety Disorders. 2004;18:609–627. doi: 10.1016/j.janxdis.2003.08.003. [DOI] [PubMed] [Google Scholar]
  47. Neary A. DSM-III and psychopathy checklist assessment of Antisocial Personality Disorder in black and white female felons. University of Missouri; St Louis: 1990. Unpublished doctoral dissertation. [Google Scholar]
  48. Newman JP. Psychopathic behavior: An information processing perspective. In: Cooke DJ, Forth AE, Hare RD, editors. Psychopathy: Theory, research and implications for society. Boston: Kluwer Academic Publishers; 1998. pp. 81–104. [Google Scholar]
  49. Newman JP, Kosson DS. Passive avoidance learning in psychopathic and nonpsychopathic offenders. Journal of Abnormal Psychology. 1986;96:257–263. [PubMed] [Google Scholar]
  50. Newman JP, Kosson DS, Patterson CM. Delay of gratification in psychopathic and nonpsychopathic offenders. Journal of Abnormal Psychology. 1992;101:630–636. doi: 10.1037//0021-843x.101.4.630. [DOI] [PubMed] [Google Scholar]
  51. Newman JP, Patterson CM, Kosson DS. Response perseveration in psychopaths. Journal of Abnormal Psychology. 1987;96:145–148. doi: 10.1037//0021-843x.96.2.145. [DOI] [PubMed] [Google Scholar]
  52. Newman JP, Patterson CM, Howland EW, Nichols SL. Passive avoidance in psychopaths: The effects of reward. Personality and Individual Differences. 1990;11:1101–1114. [Google Scholar]
  53. Newman JP, Schmitt WA. Passive avoidance in psychopathic offenders: A replication and extension. Journal of Abnormal Psychology. 1998;107:527–532. doi: 10.1037//0021-843x.107.3.527. [DOI] [PubMed] [Google Scholar]
  54. Newman JP, Wallace JF. Diverse Pathways to Deficient Self-Regulation: Implications for Disinhibitory Psychopathology in Children. Clinical Psychology Review. 1993;13:699–720. [Google Scholar]
  55. Nicholls TL, Ogloff JRP, Brink J, Spidel A. Psychopathy in women: A review of its clinical usefulness for assessing risk for aggression and criminality. Behavioral Sciences and the Law. 2005;23:779–802. doi: 10.1002/bsl.678. [DOI] [PubMed] [Google Scholar]
  56. O’Brien BS, Frick PJ. Reward dominance: Associations with anxiety, conduct problems, and psychopathy in children. Journal of Abnormal Child Psychology. 1996;24:223–240. doi: 10.1007/BF01441486. [DOI] [PubMed] [Google Scholar]
  57. O’Connor DA. The female psychopath: Validity and factor structure of the revised Psychopathy Checklist (PCL-R) in women inmates. Florida State University; Tallahassee, FL: 2001. Unpublished doctoral dissertation. [Google Scholar]
  58. Patrick CJ, Bradley MM, Lang PJ. Emotion in the criminal psychopath: Startle reflex modulation. Journal of Abnormal Psychology. 1993;102:82–92. doi: 10.1037//0021-843x.102.1.82. [DOI] [PubMed] [Google Scholar]
  59. Patrick CJ, Verona E, Sullivan EA. Emotion and psychopathy in Female offenders. Poster presented at the 40th annual meeting of the Society for Psychophysiological Research; San Diego, California. Oct, 2000. [Google Scholar]
  60. Patrick CJ, Cuthbert BN, Lang PJ. Emotion in the criminal psychopath: Fear image processing. Journal of Abnormal Psychology. 1994;103:523–534. doi: 10.1037//0021-843x.103.3.523. [DOI] [PubMed] [Google Scholar]
  61. Patterson CM, Newman JP. Reflectivity and learning from aversive events: Toward a psychological mechanism for the syndromes of disinhibition. Psychological Review. 1993;100:716–736. doi: 10.1037/0033-295x.100.4.716. [DOI] [PubMed] [Google Scholar]
  62. Phillips MI. Semantic and emotional processing in psychopathic female inmates: results of a lexical decision task. 2007 Unpublished doctoral dissertation. [Google Scholar]
  63. Plaut DC. Structure and function in the lexical system: Insights from distributed models of word reading and lexical decision. Language and Cognitive Processes. 1997;12(5/6):1–19. [Google Scholar]
  64. Rubin DC, Friendly M. Predicting which words get recalled: Measures of free recall, availability, goodness, emotionality, and pronunciability for 925 nouns. Memory and Cognition. 1986;14(1):79–94. doi: 10.3758/bf03209231. [DOI] [PubMed] [Google Scholar]
  65. Rutherford MJ, Cacciola JS, Alterman AI, McKay JR. Reliability and validity of the Revised Psychopathy Checklist in women methadone patients. Assessment. 1996;3:145–156. [Google Scholar]
  66. Salekin RT, Rogers R, Ustad KL, Sewell KW. Psychopathy and recidivism among female inmates. Law and Human Behavior. 1998;22:109–128. doi: 10.1023/a:1025780806538. [DOI] [PubMed] [Google Scholar]
  67. Seidenberg MS, McClelland JL. A distributed, developmental model of word recognition and naming. Psychological Review. 1989;96(4):523–568. doi: 10.1037/0033-295x.96.4.523. [DOI] [PubMed] [Google Scholar]
  68. Siegel RA. Probability of punishment and suppression of behavior in psychopathic and nonpsychopathic offenders. Journal of Abnormal Psychology. 1978;87:514–522. doi: 10.1037//0021-843x.87.5.514. [DOI] [PubMed] [Google Scholar]
  69. Steuerwald BL, Kosson DS. Emotional experiences of the psychopath. In: Gacono CB, editor. The clinical and forensic assessment of psychopathy: A practitioner’s guide. The LEA series in personality and clinical psychology. Mahwah, NJ: Lawrence Erlbaum Associates, Inc; 2000. pp. 111–135. [Google Scholar]
  70. Stewart SH, Conrod PJ, Gignac ML, Pihl RO. Selective processing biases in anxiety-sensitive men and women. Cognition and Emotion. 1998;12:105–133. [Google Scholar]
  71. Strauss E. Perception of emotional words. Neuropsychologia. 1983;21:99–103. doi: 10.1016/0028-3932(83)90104-5. [DOI] [PubMed] [Google Scholar]
  72. Sutton SK, Vitale JE, Newman JP. Emotion among females with psychopathy during picture presentation. Journal of Abnormal Psychology. 2002;111:610–619. doi: 10.1037//0021-843x.111.4.610. [DOI] [PubMed] [Google Scholar]
  73. Thornquist MH, Zuckerman M. Psychopathy, passive avoidance learning, and basic dimensions of personality. Personality and Individual Differences. 1995;19:525–534. [Google Scholar]
  74. Vablais C. Toward a new model of psychopathy in women: A qualitative analysis of the Psychopathy Checklist-Revised and the construct of psychopathy in female offenders. 2007 Unpublished doctoral dissertation. [Google Scholar]
  75. Vitale JE, Brinkley CA, Hiatt KD, Newman JP. Abnormal selective attention in psychopathic female offenders. Neuropsychology. 2007 doi: 10.1037/0894-4105.21.3.301. [DOI] [PMC free article] [PubMed] [Google Scholar]
  76. Vitale JE, Newman JP. Response perseveration in psychopathic women. Journal of Abnormal Psychology. 2001;110:644–647. doi: 10.1037//0021-843x.110.4.644. [DOI] [PubMed] [Google Scholar]
  77. Vitale JE, Newman JP, Bates JE, Goodnight J, Dodge KA, Petit GS. Deficient behavioral inhibition and anomalous selective attention in a community sample of adolescents with psychopathic and low-anxiety traits. Journal of Abnormal Child Psychology. 2005;33:461–470. doi: 10.1007/s10802-005-5727-x. [DOI] [PMC free article] [PubMed] [Google Scholar]
  78. Vitale JE, Smith SS, Brinkley CA, Newman JP. The reliability and validity of the Psychopathy Checklist-Revised in a sample of female offenders. Criminal Justice and Behavior. 2002;29:202–231. [Google Scholar]
  79. Warren JI, Burnette ML, South SC, Preeti C, Bale R, Friend R, Van Patten I. Psychopathy in women: Structural modeling and comorbidity. International Journal of Law and Psychiatry. 2003;26:223–242. doi: 10.1016/S0160-2527(03)00034-7. [DOI] [PubMed] [Google Scholar]
  80. Welsh GS. Factor dimensions A and R. In: Welsh GS, Dahlstrom WG, editors. Basic readings on the MMPI in psychology and medicine. Minneapolis: University of Minnesota Press; 1956. pp. 264–281. [Google Scholar]
  81. Williamson S, Harpur TJ, Hare RD. Abnormal Processing of Affective Words by Psychopaths. Psychophysiology. 1991;28(3):260–273. doi: 10.1111/j.1469-8986.1991.tb02192.x. [DOI] [PubMed] [Google Scholar]
  82. Zachary RA. Shipley Institute of Living Scale: Revised manual. Los Angeles, CA: Western Psychological Services; 1986. [Google Scholar]

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