studies (Friedman and Sarros, 1989; Jackson, Turner et al., 1987; Leiter and Meechan, 1986;Sarros and Sarros, 1992) have elected to use only the intensity and not the frequency scalebecause unlike stress, burnout is an on-going manifestation where there is no respite andtherefore, the intensity of feelings is more critical than the frequency of occurrence. Such anapproach is consistent with several test-retest studies conducted using the MBI (Wade et al.,1986) which found burnout to be a chronic rather than a transient syndrome.An investigation of the factorial validity of the MBI resulted in item 12 (‘I feelenergetic’) being deleted because it did not load on the appropriate factor. This action isconsistent with the recommendations of Bryne (1993) and Schaufeli and Van Dierendonck(1993). Two further items were excluded: item 13 (‘I feel frustrated by my job’), and item 14(‘I feel I’m working too hard on my job’) because of very low squared multiple correlationscores. In addition, both items refer to common aspects of law enforcement such as‘frustration’ and ‘working too hard’ for which respondents may not have been able to discernthe intensity of their feelings. An acceptable confirmatory factor analysis for this study wasachieved (χ 2 = 290.18, d.f.=109, p=.000; GFI=.91; TLI=.92; CFI=.94) which measured fivefactors of burnout, namely emotional exhaustion (psychological strain) - 3 items, emotionalexhaustion (somatic strain) - 4 items, depersonalization - 5 items, personal accomplishment(others) - 4 items, and personal accomplishment (self ) - 3 items (for further details regardingCFA see Densten, 2001). In addition, the word ‘recipient’ replaced ‘patient’ among the MBIitems.SampleThe sample was predominantly male, with an average age of 45 years, most weremarried (87.2 per cent) with two or more children, and a majority (63.2 per cent) had onlyattained high school education (non-college education). Most respondents (81.4 per cent)joined the law enforcement organization when under 21 years of age. Senior sergeantsformed the largest group (48.7 per cent) among the five senior officer levels examined. Theaverage years of service was 25 years with most managers (70 per cent) being in their currentposition for three years and five months. Most managers (73 per cent) worked in adepartment of 75 or fewer personnel.Analyses of dataComposite factor scores of each factor were generated using factor score regressionweights that maximize the reliability of factor scores (see Wertz, Rock et al., 1978). Thesecomposite factors were examined using Multilevel Analysis procedures (see Woodhouse,1995) and identified as single level data. According to Keeves and Cheug (1990), single levelstructural equation models should not be fitted with multilevel data, otherwise unreliable orinelegant analysis may result. These single level composite factor scores were then fitted tothe LISREL method for submodel 3b (Jöreskog and Sörbom, 1989) that contains only y(observed) and η (latent) variables which were treated as endogenous. Three structuralequation models were generated, namely Model 1: Golembiewski and Munzenrider’s (1988)Phase Model approach, Model 2: Leiter and Maslach (1988) Sequential Model approach, andthe base model where emotional exhaustion (psychological strain) directly influenced all ofthe remaining burnout factors.The structural equation models were assessed using several indices in three areas,namely overall fit indices (i.e., Chi Square, Goodness of Fit and Root Mean Square),comparative fit indices (i.e., Adjusted Goodness of Fit, Normed Fit Index, and Non-normedFit Index), and parsimonious fit indices (i.e., Normed Chi-square, Parsimonious Normed FitIndex, and Akaike Information Criterion).24
ResultsTable 1 presents the means, standard deviations, correlations, and reliabilities for thisstudy. An examination of the correlation matrix identified relationships among the factorswhich were consistent with Maslach and Jackson’s (1981) original study. In addition, thereliabilities for all burnout factors were above .70 except for personal accomplishment (self)which was .67.Insert Table 1 hereAs indicated in Table 2, Model 2 had an acceptable fit and was superior to Model 1and the base model. Model 1 and the base model did not achieve acceptable fits. Model 2’sacceptable fit is indicated by (a) an adequate chi-squares (χ 2 = 2.24, d.f. = 2, p = .33), (b) aGoodness of Fit Index (GFI) of .99 which indicated a reasonable fit, (c) a Root Mean SquareResiduals (RMSR) of .03 which is less than the threshold of .05. and (d) a χ 2 /df score lessthan 2 (Anderson and West, 1998). Further, the incremental fit indices of Tucker-LewisIndex (TLI) (i.e., .99) and Comparative Fit Index (CFI) (i.e., .99) were above therecommended .90 level (Hair, Anderson et al., 1998) and the Normed Chi-square Index was1.12 which indicated a good fit. Finally, the parsimonious fit indices of the AdjustedGoodness of Fit of .99 and the Parsimonious Normed Fit Index (PNFI) of .91 were withinacceptable limits indicating a good fitting model. Model 2 Akaike Information Criterion (i.e.,12.24) was lower than Model 1 which had unacceptably low incremental and parsimonious fitindices.Insert Table 2 hereFigure 3 illustrates the direct effects (i.e., β) and errors (i.e., ζ) for the burnout factorsin Model 2, which is based on the sequential model of Leiter and Maslach (1988).Insert Figure 3 hereDiscussionThe current study examined the interrelationships to clarify the burnout process.Figure 3 confirms the findings of several studies which identified emotional exhaustion ascentral to the burnout process (e.g., Gaines and Jermier, 1983; Hobfoll and Freedy, 1993; Leeand Ashforth, 1993; Leiter, 1991; Maslach, 1982; Shirom, 1989). In addition, the currentstudy highlights the linkage between emotional exhaustion (psychological strain) anddepersonalization (β=.561) and personal accomplishment (others) (β=-.367). Further,emotional exhaustion (psychological strain) appears to directly affect emotional exhaustion(somatic strain) (β=.775) which confirms the findings of Leiter, Clark and Durup (1994:79).Emotional exhaustion (psychological strain) appears to directly affect depersonalization(β=.162) which supports the findings of Savicki and Cooley (1994) and Leiter and Maslach(1988) that emotional exhaustion is capable of predicting levels of depersonalization. Thesefindings contradict Schwab and Iwanicki’s (1982) argument that there is no fixed sequence inburnout, and that one factor is not an inevitable consequence of another. The present studysuggests that emotional exhaustion (psychological strain) and personal accomplishment(others) operate in parallel, and that both depersonalization and personal accomplishment(others) are responses to emotional exhaustion (psychological strain).25
- Page 1 and 2: Volume 24, No. 5, 2003Edited by/Éd
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- Page 18 and 19: Crown, C.L. & Cummins, D.A. (1998).
- Page 20 and 21: Smith-Lovin, L., & Brody, C. (1989)
- Page 22 and 23: Table 2Summary of Descriptive Stati
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- Page 38 and 39: Table 2Overall Goodness-of-Fit Indi
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Be more enthusiastic and exert extr
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Table 2Correlations Among the Laten
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performance expectations on feedbac
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changements qui s’opèrent dans l
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structures, politiques, systèmes,
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comportements liés à la communica
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Tableau 2Échelles de mesure de la
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prédiction des compétences clés
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organisation n’est pas uniforme e
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complètement ce construit. Ces cha
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Wagner, R.K. and Sternberg, R.J. (1
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What is a toxin handler?In two arti
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potentially limited scope and conte
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work role demands. In this survey,
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The three factors in this rotated f
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and service orientation, the abilit
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ASAC 2003Halifax, Nova ScotiaLisa M
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self-appraisal group reacted more n
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effect of voice are the value-expre
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“Strongly Disagree” to “Stron
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esults suggest that incorporating s
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Personality and Social Psychology,
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Table 1Means, Standard Deviations,
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Table 3Test of the Mediating Role o
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ASAC 2003Halifax, Nova ScotiaAnn Fr
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individual level, polychronicity is
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construct.Drawing on computer-media
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Consequence: Impact on Work Overloa
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Conversation complexity may also mo
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Implications for practiceFuture res
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ReferencesAncona, D.G., Goodman, P.
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no. 3 (1994): 381-391.Macan, T.H.,
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ASAC 2003Halifax, Nova ScotiaIan R.
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Assessing Measures: Affective Commi
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implications of psychological contr
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commitment, affective commitment, c
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Motivational Process Variables. Amo
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DiscussionThe main purpose of this
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approaches zero. In the present stu
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Extension and test of a three-compo
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Table 1Descriptive Statistics and Z
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Table 3Standardized Factor Loadings
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Table 5Hierarchical Regression Anal
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ASAC 2003Halifax, Nova ScotiaJoan F
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ASAC 2003Halifax, Nova ScotiaArla D
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ASAC 2003Halifax, Nova ScotiaIvy Ky
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ASAC 2003Halifax, Nova ScotiaNina D