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CONFLICT, STRESS AND ABSENTEEISM

Master thesis, Msc HRM, University of Groningen, Faculty of Economics and Business

June 24, 2014

GIJS JANSEN Studentnummer: 1785192 Goeman Borgesiuslaan 397

9722VJ Groningen

e-mail: g.jansen.4@student.rug.nl

Supervisor/ university

Dr. S. Täuber

Msc. Y. Cantimur

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Abstract

Working part-time is an effective strategy for finding the right balance between work and family

demands and thereby reduces work-family conflict. Hence, in the present study we investigated

full-time employment and parenthood as an antecedents of work-family conflict and its effect on

stress and absenteeism. We were interested whether working part-time as a parent reduces work-

family conflict, stress and absenteeism of employees. The present study linked outcomes on a

questionnaire measuring employment, work-family conflict, parenthood, and stress to frequency

of absence of employees of a professional catering company. Part-time employees with children

experience less work-family conflicts compared to parents that are full-time employed. This

study is one of the first studies that researched the link between part-time employment and actual

absenteeism via work-family conflict and stress. Although, the results on this relationship from

this study are inconclusive, we were able to provide useful suggestions for further research on

this topic.

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Responsibilities for work, housework, and childcare are no longer confined to traditional gender roles, due to an increase of dual-career couples and single-parent households, accompanied by a decrease in traditional, single-earner families (Frone, 2002). Therefore, finding the right balance between family life and the work domain has received more attention over the last couple of years by human resource management (Carlson, Grzywacz & Zivnuska 2009). A balance between the family and the work domain has been associated with higher job satisfaction and a stronger commitment to the job (Carlson, et al. 2009). When this balance is disturbed, interrole conflict is likely to occur, for the demands of both domains are interfering (Kahn, Wolfe, Quinn, Snoek, & Rosenthal, 1964). This interrole conflict can either emerge from work to family interference, or from family to work interference (Byron, 2005). Higher levels of work-family conflict have been associated with lower work performance and higher intentions for absenteeism and turnover (Allen, Herst, Bruck, & Sutton, 2000)

Organizations implement policies that aim to enhance the flexibility of employees in

balancing their work and non-work responsibilities. Part-time employment is often seen as an

effective strategy in reducing work-family conflict (Byron, 2005) and is recommended by

Euopean Union as an adequate strategy. Furthermore, when having children or experiencing high

time pressure, reduction of working hours is the only change in work conditions that effectively

decreases work-family conflict (Laurijssen & Glorieux 2012). In addition, higher work hours

increase work-family conflict which in turn led to higher psychological distress (Major, Klein

and Ehrhart, 2002). Moreover, higher levels of work-family conflict have been related to higher

self-reported absenteeism (Erickson, Nichols, Ritter, 2000). However, research on the

relationship between part-time employment, work-family conflict, psychological distress, and

absenteeism is scarce (Allen et al., 2000; Byron, 2005; Frone, Russel & Cooper, 1992a). Hence,

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in the present study we want to investigate full-time employment and parenthood as an antecedents of work-family conflict and its effect on psychological stress and absenteeism. For we are interested whether working part-time as a parent is reduces work-family conflict, stress and absenteeism.

Theoretical Models on Work-Family Balance

Research on linkages between work and family has increased since the change of work and family roles due to an increase of dual-earning couples and the disappearance of traditional gender roles (Edwards & Rothbard, 2000). Models concerning the linkage between the work and family domain can be classified in either non-causal or causal models (Morf, 1989). Causal models assume a causal link between events in the work domain and in the family domain.

While non-causal models assume that such a direct causal relationship between the two domains does not exists. A correlation between the two domains is attributed to a third variable (Frone, 2002). Frone (2002) concludes that earlier research has shown that various models are applicable however, none of them is able to fully outline the relationship between the work and family domain.

A more recent meta-analysis of Byron (2005) provides evidence for two specific models:

the spillover model and the congruence model (Edwards et al., 2000). The spillover model

assumes that stress or strain from one domain spills over another domain. Negative spillover is

just as likely as positive spillover. For example, employees who have supportive colleagues or a

supportive family tend to have less work-family conflict (Byron, 2005). The congruence model

states that a third variable has a congruence effect on both the work and family domain (Edwards

et al., 2000). For example, coping abilities can reduce work-family conflict because a person is

able to handle problems in both domains (Frone et al., 1991).

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Work hours and other antecedents of work-family conflict

As becomes clear form the meta-analysis from Major et al. (2002), work-family conflict has been widely studied, yet the relation between longer work hours and work-family conflict has more often been assumed than that is was tested. Major et al. (2002) only found 15 studies wherein work time was measured in their sample of more than 130 quantitative studies that were examined. In all, the relationship between work-time and well-being or stress was only examined in two studies. One of those studies (Parasuraman, Pruohit, Godshalk, & Beutell, 1996) provided evidence that the effect of work time on life stress was mediated by work-family conflict.

Since then, more recent studies have provided support for this finding (Rijswijk, Rutte &

Croon, 2004) for reducing working hours by switching to part-time employment was found to decrease work-family conflict. In turn, this decrease in work-family conflict was linked to increased well-being. Furthermore, part-time work was found to be associated with increased wellbeing when it was controlled for as a strategy for reducing work-family conflict. Therefore, it was concluded by Rijswijk et al. (2004) that part-time employment is beneficial for employees, regardless whether they did so to either reduce or to prevent work-family conflict.

Based on the spillover model (Zedeck & Mosier, 1990) Major et al. (2002) argued that

family responsibilities like child care and house cleaning are likely to increase work-family

conflict. For, it is likely that employees who spend more time on family responsibilities have less

time left for work. Yet, these predictions were not supported by their analysis. However, a more

recent study has shown that working part-time is the only effective strategy for reducing work-

family conflict after having children (Laurijssen et al.,2012). Moreover, part-time employment

did not only proved to be an effective strategy for reducing time pressure. But it also proved to

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be an effective response to high time pressure. Having children does seem to have an effect on work-family conflict.

Higher educated women experience a negative link between part-time employment and work-family conflict as they experience higher job satisfaction (Lautsch & Scully, 2007). While for worker-class employees is has been found that reduced working hours relate to higher levels of work-family conflict (Lautsch et al., 2007). In all, reducing working hours by means of part- time employment is found to be an effective intervention for reducing and preventing work- family family conflict. In all, parenthood has mixed effects on the level of work-family conflict (Major et al., 2002). In present study its relationship with part-time employment and work-family conflict will be more closely examined.

Consequences of work-family conflict

As noted before, work-family conflict is related to negative outcomes for the employee as well as the organization (Allen et al., 2000). For example, commitment to organization decreases when work-family conflict is high (Good, Sisler, & Gentry, 1988; Netemeyer, Boles, &

McMurrain, 1996). Frone (2002) speculates that organizational outcomes like absenteeism and lower work performance can only be a result of family to work interference. And not the other way around, as absenteeism and lower work performance is more likely an outcome of family demands instead of work demands. Therefore, Frone (2002) considered a direct relation between work-family conflict and absenteeism to be unlikely.

However, work-family conflict is positively related to psychological distress and self-

reported health (Frone et al., 1992a). Because of the link between work-family conflict and

psychological distress, Frone et al. (1992a) call for future research to connect distress due to

work-family conflict to absenteeism. More recent studies have confirmed that work-family

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conflict is positively related to psychological distress (Major et al., 2002). Moreover, Grandey and Cropanzano (1999) linked work-family conflict to actual job distress, which increased turnover intentions, life distress and physical health complaints. More importantly, work-family conflict was linked to absenteeism (Erickson et al., 2000). However, absenteeism was measured by means of self-reports which are prone to social desirability. Therefore, in the present study, we will attempt to link experienced stress to the behavior of employees by means of behavioral data on absenteeism.

The present study

According to Eurostat (e.g., http://epp.eurostat.ec.europa.eu, 12-01-2014) The Netherlands has the highest percentage of part-time employees of the whole of Europe. On the average percentage of part-time workers in the EU is 19%. Whereas in The Netherlands this percentage is as high as 50% of the Dutch workforce. In scientific literature, The Netherlands is even regarded as the first part-time economy in the world (Visser, 2002). Having children is often mentioned as a reason for voluntarily decrease in working hours. A study by the labor union FNV Abvokabo (Oostvoorn, 2010) revealed that 65 % of the respondents reduced the amount of working hours after having children. As the combination of work and having children is perceived as stressful for 62% of the respondents.

The literature on part-time employment, work-family conflict and distress has been quite

consistent. However, research on the link between part-time employment, work-family conflict,

psychological distress, and absenteeism is scarce (Allen et al., 2000; Frone et al., 1992a). As a

result, literature on the connection between work-family conflict and absenteeism has been less

well established (Byron, 2005). Therefore, the present study tries to find further support for the

link between those concepts. In addition, organizations are likely to benefit form a better picture

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of the link between part-time employment, work-family conflict, and absenteeism. To provide such an answer, the following hypotheses are proposed.

Hypothesis 1: Full-time employment is stronger related to work-family conflict compared to part-time employment.

Hypothesis 2a: Parenthood increases work-family conflict.

Hypothesis 2b: Part-time employees with children experience less work-family conflict compared to full-time employees with children.

Hypothesis 3: Full-time employment is indirectly related to more frequent absenteeism via work-family conflict and increased stress.

METHOD Participants

The sample included 179 employees (57 men and 117 women) form a professional catering company. The participants were between 21 and 66 years old (M= 45.22, SD=11.32) and have been employed at the catering company between 2 months and 30 years (M=7, SD=6.24).

Employees worked between 4 en 60 hours per week (M=29.94, SD=11.56). Full-time contracts in the Netherlands of 1 fte consist of 36 to 41 work hours per week. Dummies were constructed to enable statistical analysis. For more than 35 hours per week (employment = 1) and for less than 36 work hours per week (employment = 0). This results in 66 part-time employees and 104 full-time employees.

Education varied considerably among the participants: 2.3% just completed primary

school, 31.4% completed a lower level of college education, 3.5% finished middle school (Hoger

Algemeen Voortgezet Onderwijs and Voorbereidend Wetenschappelijk Onderwijs) and 16% got

a bachelor’s degree. To enable statistical analysis, dummies were created by categorizing

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primary school and lower level of college education as lower level of education (Education = 0) which accounted for 80.5% of the participants. Middle school and bachelor degrees were categorized as higher level of education (Education = 1) and accounted for 19.5% of the participants.

Material and Measures

Our main measures were three scales to measure stress, work-family conflict and job satisfaction respectively. Stress was measured by the Overspannings Klachtenlijst (Schmidt, 2001) which measures symptoms of stress by means of 22 questions, for example ‘sleeping problems’ (see Appendix A for the complete list of items). Each sates a certain symptom which occurrence in the past seven days can be rated on a scale from 1(did not occur) to 5(occurred a lot). The average score on the questionnaire provides an indication on how much stress the respondent experiences and shows a reliability of α = .97 . In addition, the eight following items measure the core symptoms of being overstrained and chronicle stress: ‘(1) concentration problems, (2) troubles with thinking clearly, (3) worse performance, (4) not able to handle thing, (5) forgetful, (6) not feeling capable to solve problems, (7) loss of interest, and (8) no enjoyment of the daily happenings’. The average score on these items is predictive of chronic stress and is indicated as the score on overstrain which has a reliability of α = .95.

We measured work-family conflict four items developed by Frone, Russell and Cooper ( 1991,

1992a, 1992b, 1993). The degree to which a respondent's job interferes with his or her home life

(work to family conflict) and the degree to which a respondent's home life interferes with his or her

job (family to work conflict) was assessed by two items each. The two items assessing Work-Family

conflict were: ‘How often does your job or career interfere with your responsibilities at home, such

as yard work, cooking, cleaning, repairs, shopping, paying the bills, or child care?’ and ‘How often

does your job or career keep you from spending the amount of time you would like to spend with your

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family?’ The items assessing Family-Work conflict were: ‘How often does your home life interfere with your responsibilities at work, such as getting to work on time, accomplishing daily tasks, or working overtime?’ and ‘How often does your home life keep you from spending the amount of time you would like to spend on job or career-related activities?’ Each item was rated on a 7-point frequency-based response scale, ranging from 1 (never, never) to 7 (always, daily).

We measured job satisfaction was with the 4-item job satisfaction scale by Smith, Kendall and Hullin (1969); a sample item is: ‘My job inspires me.’ (α=.91 - .96). Each item was evaluated on a 7-point response scale, ranging from 1 (Totally disagree) to 7 (Totally agree).

Procedure

The study was administered online by use of Qualtrics. The catering organization send an e-mail containing the link to the online questionnaire to all their employees. All participants completed the same questionnaire, which started with completing a web-based informed consent form. After receiving instructions, they continued by answering questions about their personal background (gender, age, level of education, marital status, employment, work hours, function, parenthood, country of birth and nationality). Participants were asked to fill in their personnel- number after being informed that doing so would enable us to connect their answers to data on absenteeism. After the connection the personnel-number would be deleted and data from the report would not be individually identifiable. Next, was the ‘Overspannings Klachtenlijst’

questionnaire where participants were asked to fill in the whether they had suffered certain troubles over the past 7 days concerning stress related symptoms and to rate the intensity.

Subsequently, two questions about work to family conflict and two questions about family to

work conflict were asked. These were followed by 4 questions concerning the job satisfaction of

the employees. Lastly, participants were thanked for their effort and given the opportunity to

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leave a comment concerning the questionnaire or the study. These comments did not show any relevant questions or issues concerning the questionnaire or study.

When the questionnaire was closed, the data on absenteeism was connected to the answers on the questionnaire by means of the personnel-number at the office of the human resource consulting organization. This was done by manually copying absenteeism data for every personnel number from the database of the human resource consulting organization to the data file of the questionnaire. In the questionnaire the frequency and the overall duration of absenteeism was filled in by the researcher. After the data was connected, all personnel-numbers were deleted from the data file of the questionnaire to ensure anonymity of the participants.

RESULTS

Firstly, we expected that full-time employment is stronger related to work-family conflict compared to part-time employment. Secondly, we expected that having children positively influences the effect of part-time employment on work-family conflict. Thirdly, we expected that full-time employment is indirectly related to more frequent absenteeism via work-family conflict and increased stress. To test the first and second hypothesis an analysis of variance (ANOVA) was performed. For the third hypotheses a path analysis-based moderation and mediation analysis was performed by use of the computational tool PROCESS (Preacher & Hayes, 2008).

For all statistical tests an alpha level of 0.5 was used (see Appendix B for the complete list of variables).

The analysis yielded that the effect of employment on work-family conflict was

significant F(1,162)=6.13, p =.014. Full-time employees experience on average 2.67 work-

family conflict (SD=1.35). Part-time employees experience on average 2.19 work-family conflict

(SD=1.14). Post hoc analysis revealed that part-time employees experience .49 point less (t =-

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2.48, SD=0.20, p =.014) on a scale of one to seven. Thus, work-family conflict is higher for full-

time employment compared to part-time employment as can be seen in figure 1.

FIGURE 1

Mean Work-Family conflict for Part-time and Full-time employees.

Our second hypothesis predicted that having children increases work-family conflict. And secondly, that part-time employees with children experience less work-family conflict compared to full-time employees with children. The analyses revealed a significant main effect of

parenthood on work-family conflict F(1,90)=6.44, p =.013. This indicates that, employees who

have children experience more work-family conflict (M=2.72, SD=0.11) compared to employees

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without children (M1.73, SD=0.36). Furthermore, working part-time does seem to significantly reduce the experienced work-family conflict. For the analysis revealed that the effect of

employment on work-family conflict was significant for employees with children F(1,80)=4.91, p=.029. Thus part-time employees with children (M=2.36, SD=1.26) experience less work-

family conflict compared to full-time employees with children (M=3.04, SD=1.35), as illustrated by figure 2.

FIGURE 2

Mean Work-Family conflict for Part-time and Full-time employees with and without Children.

The path analysis-based moderation and mediation analysis yielded a non-significant direct effect of employment on the frequency of absenteeism β = -.03, t(147) = -0.08, p > .937.

However, the indirect effect of employment on frequency of absenteeism via work-family

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conflict and stress was revealed to be significant as the bootstrapping intervals did not include 0, bias-corrected and accelerated 95% CI [0.004, 0.062] with 1000 resamples. This sequential mediation model does not explain (figure 3) a proportion of the frequency in absenteeism of

employees R

2

< .01 F(3,161)=0.07, p=.783. Thus, full-time employment is likely to be indirectly related to absenteeism via work-family conflict and experienced stress.

FIGURE 3

Sequential Mediation Model of Employment to Frequency of Absence.

DISCUSSION

The aim of the present study was to investigate the link between part-time employment, work-family conflict, and absenteeism. We found, as was predicted, that work-family conflict is higher for full-time employment compared to part-time employment. Although part-time work may hold disadvantages in terms of pay, career prospects and benefits, these findings suggest that part-time employment is beneficial for reducing work-family conflicts. Thus, the present study corroborates to the existing body of research on the link between reduced work-hours and work-family conflict (Beham, Präg, & Drobnič, 2012).

Moreover, Beham et al. (2012) found additional evidence that the relationship between

employment and work-family balance extends beyond the dichotomous distinction of full-time

versus part-time. The amount of work hours differs per part-time contract, therefore a further

distinction was made between substantial part-time employment (20-34 hours) and marginal

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part-time employment (19 hours or less). Their finding was that the relationship with work- family balance is stronger for marginal part-time employment (19 hours or less) compared to substantial part-time employment (20-34 hours). Therefore, it is likely that work-family conflicts decreases when working hours are further reduced in the form of a part-time contract with less working hours.

In addition, increased family demands in the form of having children, are linked in this study to higher levels of work-family conflict. Having children places higher demands on employees, resulting in less resources for work demands. Therefore, employees probably need more time to satisfy work related requirements. In turn, work-family conflicts are likely to arise.

As expected, full-time employees with children experience more work-family conflicts compared to part-time employees with children. This finding in in accordance with previous evidence that the number of children is negatively related to work-family balance (Beham et al., 2012). This indicates that having children destabilizes work-family balance and is therefore positively related to work-family conflict, as was found in the present study.

On-site childcare can be a practical solution for reducing work-family. As this would decrease the non-work demands of employees. According meta-analysis of Eby, Casper, Lockwood, Bordeaux and Brinkley (2005) there are four studies that examined the relationship between on-site childcare and all indicated that onsite-childcare is related to lower work-family conflicts. This suggests that, next to reducing working-hours, on-site childcare provides an opportunity for employees and organizations to reduce the negative effects of work-family conflicts.

As was proposed, full-time employment might be indirectly related to absenteeism via

work-family conflict and experienced stress. This finding is in accordance with previous

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research, as a higher level of work-family conflict was linked to higher intensions of absenteeism and turnover (Eby et al., 2005). A strength of this study was that instead of intentions, the history of actual behavior was used for measuring absenteeism. This contributes to the validity of the effect that was found. However, a cautious note has to be placed on the effect-size of this model.

As the model does not explain a significant amount of variance in frequency of absence in this study. A possible explanation might be the low occurrence of absenteeism in the professional catering company. As a consequence, the variation in frequency of absence was also low. This decreases the possibility to analyze the effect of other factors on the frequency of absence.

Moreover, it is likely that any effect on the frequency of absence will be difficult to notice in practice.

The low occurrence of absenteeism might be explained by the fact that participants to share or not to share their personnel number, which enabled us to link the survey data to behavioral data of the employee on absenteeism. It is possible that employees with a higher frequency of absence chose not to participate due to social desirability. Thus, a self-selection bias was likely to occur, rendering the sample as less representative for the whole catering company.

A longitudinal research might provide a solution for this bias, when behavioral data on absenteeism is collected after filling out the survey. The representativeness of this study is likely to be confined to the service industry. As the work environment of catering personnel highly differs from, for example a more general office setting. In future research on this topic, this problem can be resolved by including a more differs group of organizations in a longitudinal study.

The relationship between full-time employment and frequency of absence can also be

influenced by other factors, like on-site child care. This is suggestion is supported by Goff,

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Mount and Jomison (1990) as they found that the use of on-site childcare related to lower work- family conflict, which in turn predicted lower absenteeism. Which suggests that organizations are likely to benefit from lower frequency of absence of employees with children. Our findings suggest that on-site childcare is more likely to result in a lower frequency of absence for full- time employees compared to part-time employees. Further research could test this prediction. We found a correlation between gender and work-family conflict, thus it might be interesting to research whether there are gender differences in the effectiveness of on-site child care in reducing work-family conflict.

To conclude, finding the right balance between family and work demands has become more challenging over the last decade. Hence, work-family conflicts are more likely to occur.

Working part-time is likely to be an effective strategy to reduce work-family conflict. Especially

part-time employees with children experience less work-family conflicts compared to parents

that are full-time employed. This study is one of the first studies that researched the link between

part-time employment and actual absenteeism via work-family conflict and stress. Although, the

results on this relationship from this study are inconclusive, we were able to provide useful

suggestions for further research on this topic.

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Appendix A

Overspanings Klachtenlijst (Schmidt, 2001)

Heeft U in de afgelopen week last gehad van de volgende klachten? (cijfer omcirkelen dat het meest van toepassing is)

1. vermoeidheid 2. slaapklachten 3. gespannenheid

4. neerslachtige stemming 5. snel geïrriteerd raken 6. futloosheid

7. niet tegen drukte/herrie kunnen 8. angstigheid

9. snel geëmotioneerd raken 10. vergeetachtigheid 11. lusteloosheid 12. piekeren

13. geen plezier beleven aan dagelijkse dingen 14. zich niet in staat voelen problemen aan te pakken 15. interesseverlies

16. zich lichamelijk niet goed voelen 17. tot niets meer kunnen komen 18. minder presteren

19. het niet meer aankunnen

20. moeite hebben met helder denken 21. zich gejaagd voelen

22. concentratie problemen

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Appendix B

TABLE 1

Means (M), Standard deviations (SD), Correlations Between Variables and Cornbach’s Alpha.

M SD 1. 2.

a.

3. 4. 5. 6. 7. 8. 9.

1. Age 44.64 11.85 -

2. Gender

a.

0.68 0.47 .24

**

-

3. Parenthood

b.

0.87 0.34 -.43

**

.00 -

4. Employment

c.

0.38 0.49 -.27

**

-.69

**

-.01 -

5. Perceived Stress 1.41 0.64 -.04 .-.06 -.05 -.04 α = .95

6. Work-Family conflict 2.39 1.28 .-.12 -.20

**

.13 .19

**

.46** α=.83

7. Family-Work conflict 1.82 1.02 -.28

**

-.21

**

.23

*

.14

*

.34** .54** α=.77

8. Job satisfaction 5.76 1.30 -.01 -.05 .10 .10 -.37** -.28** -.11 α=.93 9. Frequency of absence

in 12 months. 0.34 0.66 .05 -.01 .04 -.01 .21** .11 .10 -.17* - Note.

a. Gender coding: 0 = male and 1 = female.

b. Parenthood coding: 0 = no children and 1 = one or more children.

c. Employment coding: 0 = part-time employment and 1 = full-time employment.

*. Correlation is significant at the 0.05 level (2-tailed).

**. Correlation is significant at the 0.01 level (2-tailed).

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