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Depersonalizati on_mbi widowed - 15,26190(*) 7,49177 ,043 -30,0443 -,4795 other 3,23810 5,35873 ,546 -7,3355 13,8117 partner single ,15833 2,40556 ,948 -4,5882 4,9049 married 5,08690(*) 2,01155 ,012 1,1178 9,0560 divorced 3,22976 2,82173 ,254 -2,3379 8,7975 widowed -10,17500 7,58699 ,182 -25,1453 4,7953 other 8,32500 5,49106 ,131 -2,5097 19,1597 divorced single -3,07143 2,87519 ,287 -8,7446 2,6018 married 1,85714 2,55467 ,468 -3,1836 6,8979 partner -3,22976 2,82173 ,254 -8,7975 2,3379 widowed -13,40476 7,74870 ,085 -28,6942 1,8846 other 5,09524 5,71242 ,374 -6,1763 16,3667 widowed single 10,33333 7,60703 ,176 -4,6765 25,3432 married 15,26190(*) 7,49177 ,043 ,4795 30,0443 partner 10,17500 7,58699 ,182 -4,7953 25,1453 divorced 13,40476 7,74870 ,085 -1,8846 28,6942 other 18,50000(*) 9,06819 ,043 ,6070 36,3930 other single -8,16667 5,51872 ,141 -19,0560 2,7226 married -3,23810 5,35873 ,546 -13,8117 7,3355 partner -8,32500 5,49106 ,131 -19,1597 2,5097 divorced -5,09524 5,71242 ,374 -16,3667 6,1763 widowed - 18,50000(*) 9,06819 ,043 -36,3930 -,6070 single married 3,40079(*) ,92199 ,000 1,5816 5,2200 partner 1,29722 1,06329 ,224 -,8008 3,3953 divorced 2,03175 1,27087 ,112 -,4759 4,5394 widowed -,77778 3,36242 ,817 -7,4124 5,8568 other 1,97222 2,43935 ,420 -2,8410 6,7854 married single -3,40079(*) ,92199 ,000 -5,2200 -1,5816 partner -2,10357(*) ,88913 ,019 -3,8580 -,3492 divorced -1,36905 1,12920 ,227 -3,5971 ,8590 widowed -4,17857 3,31147 ,209 -10,7126 2,3555 other -1,42857 2,36863 ,547 -6,1023 3,2451 partner single -1,29722 1,06329 ,224 -3,3953 ,8008 married 2,10357(*) ,88913 ,019 ,3492 3,8580 divorced ,73452 1,24724 ,557 -1,7265 3,1955 widowed -2,07500 3,35356 ,537 -8,6921 4,5421 other ,67500 2,42712 ,781 -4,1141 5,4641 divorced single -2,03175 1,27087 ,112 -4,5394 ,4759 married 1,36905 1,12920 ,227 -,8590 3,5971 partner -,73452 1,24724 ,557 -3,1955 1,7265 widowed -2,80952 3,42504 ,413 -9,5677 3,9486 other -,05952 2,52497 ,981 -5,0417 4,9226 widowed single ,77778 3,36242 ,817 -5,8568 7,4124 married 4,17857 3,31147 ,209 -2,3555 10,7126 partner 2,07500 3,35356 ,537 -4,5421 8,6921 divorced 2,80952 3,42504 ,413 -3,9486 9,5677 other 2,75000 4,00826 ,494 -5,1589 10,6589 other single -1,97222 2,43935 ,420 -6,7854 2,8410 married 1,42857 2,36863 ,547 -3,2451 6,1023 partner -,67500 2,42712 ,781 -5,4641 4,1141 divorced ,05952 2,52497 ,981 -4,9226 5,0417 widowed -2,75000 4,00826 ,494 -10,6589 5,1589
Personal accomplishment _mbi single married * The mean difference is significant at the .05 level. -3,45635(*) 1,48615 ,021 -6,3888 -,5239 partner -2,87778 1,71391 ,095 -6,2596 ,5040 divorced -2,95635 2,04851 ,151 -6,9984 1,0857 widowed 3,97222 5,41986 ,465 -6,7220 14,6665 other -4,77778 3,93198 ,226 -12,5362 2,9806 married single 3,45635(*) 1,48615 ,021 ,5239 6,3888 partner ,57857 1,43319 ,687 -2,2493 3,4065 divorced ,50000 1,82015 ,784 -3,0914 4,0914 widowed 7,42857 5,33774 ,166 -3,1036 17,9608 other -1,32143 3,81798 ,730 -8,8549 6,2121 partner single 2,87778 1,71391 ,095 -,5040 6,2596 married -,57857 1,43319 ,687 -3,4065 2,2493 divorced -,07857 2,01042 ,969 -4,0455 3,8883 widowed 6,85000 5,40558 ,207 -3,8161 17,5161 other -1,90000 3,91227 ,628 -9,6195 5,8195 divorced single 2,95635 2,04851 ,151 -1,0857 6,9984 married -,50000 1,82015 ,784 -4,0914 3,0914 partner ,07857 2,01042 ,969 -3,8883 4,0455 widowed 6,92857 5,52080 ,211 -3,9648 17,8220 other -1,82143 4,06999 ,655 -9,8521 6,2093 widowed single -3,97222 5,41986 ,465 -14,6665 6,7220 married -7,42857 5,33774 ,166 -17,9608 3,1036 partner -6,85000 5,40558 ,207 -17,5161 3,8161 divorced -6,92857 5,52080 ,211 -17,8220 3,9648 other -8,75000 6,46090 ,177 -21,4984 3,9984 other single 4,77778 3,93198 ,226 -2,9806 12,5362 married 1,32143 3,81798 ,730 -6,2121 8,8549 partner 1,90000 3,91227 ,628 -5,8195 9,6195 divorced 1,82143 4,06999 ,655 -6,2093 9,8521 widowed 8,75000 6,46090 ,177 -3,9984 21,4984 Section 28: Regression analysis for Emotional Exhaustion and demographic variables REGRESSION /MISSING LISTWISE /STATISTICS COEFF OUTS R ANOVA /CRITERIA=PIN(.05) POUT(.10) /NOORIGIN /DEPENDENT ee /METHOD= STEPWISE country age wkcwpl edu_years married partner morechildren worksalot workedalot . Model 1 Variables Entered Table 135: Variables Entered/Removed(a) Nationality . a Dependent Variable: Emotional exhaustion_mbi Variables Removed Method Stepwise (Criteria: Probability-of-F-to-enter = ,100).
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University of Eötvös Lorand Hunga
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DEDICATION TO MY PARENTS; YOUR HARD
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ABSTRACT A great deal of research h
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3. METHOD……………………
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1. INTRODUCTION 1.1. PURPOSE OF THE
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1981). This questionnaire was and i
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oncology wards (Sherman, 2004). Esc
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(SWB). The meaning of SWB is how pe
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extent demographic variables, work-
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2. LITERATURE REVIEW 2.1. THE THEOR
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different countries in Europe and t
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Foxall, Zimmerman, Standley & Benee
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nurse were both negatively connecte
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elated to stress levels and job sat
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Altun (2002) has pointed out that b
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Demerouti et al. (2005) is also arg
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Halbesleben & Buckley (2004) argued
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Brewer & Shapard (2004) conducted a
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the third dimension of the burnout
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Table 1. Amount of nurses being bur
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environmental variables at the hosp
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and stress levels could be differen
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about a patient’s treatment witho
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Potter (2006) conducted a literatur
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Lin, Hsu, Chao, Luh, Hung et al. (2
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at work are underprivileged in comp
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instructions from their supervisors
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number of years worked as a nurse w
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psychosomatic health, after demogra
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environment, and support from the s
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urnout. The factor which has been h
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Diener & Tov (2005, in Kitayama & C
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form of for example life satisfacti
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develop burnout (see for example La
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Simoni & Paterson (1997) have also
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the psychological immune system (Ol
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positive effect of social support i
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Several authors have shown the effe
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support especially important in rel
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(1999), Tummers et al. (2002), and
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According to Maslach (1982), when i
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2.11. HOW CAN WE PREVENT BURNOUT? 2
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work-related safety in order to dec
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in the organization are not easy to
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at work, and on the nurses’ work-
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3. METHOD 3.1 STUDY POPULATION The
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the head nurse at the second meetin
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• Satisfaction with Life scale (D
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assess people’s satisfaction with
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positive accomplishment in the nurs
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Goal Orientation 0.63 0.52 Impulse
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23,71% Number of children 0-1 2-3 4
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It was shown that the Swedish nurse
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APPENDIX 3); a robust Welch-test fo
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Table 8: ANOVA results of work stre
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In the second part of the second hy
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would be found in the Swedish sampl
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The Monitoring-Creating-Executing S
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4.6.3. Findings for Burnout and Per
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Table 17: Robust Test of Equality o
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Approach-Belief System (r=0.260, p
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p
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Approach-Belief System (1.01) and t
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Marital status Table 23: Burnout me
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generalized to other hospitals in S
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feeling inexperienced would result
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sample. Another researcher who foun
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5.3. BURNOUT AND LIFE SATISFACTION
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the findings in connection to life
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salaries of health care system pers
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urnout simply shows that the area o
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feel supported at home and feel the
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and that lower personality scores g
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connection between age and burnout.
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connection to them was not thought
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and young nurses working in the int
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extensively researched all around t
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what if the Hungarian nurses would
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immunity between different countrie
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care workers (usually nurses). In s
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more efficient if they would be dir
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Aries, M. & Ritter, I. Z. (1999). N
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Brooks I. & Swailes S. (2002). Anal
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Chang, E. M., Bidewell, J. W., Hunt
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Cronin-Stubbs, D. & Rooks, C. A. (1
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Diener, E., Suh, E., Lucas, R. E. &
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Ghorpade, J., Lackritz, J. & Singh,
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Hupcey, J. E. (1998). Clarifying th
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Lakin, B., Leon, S. C. & Miller, S.
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Leiter, M. P. (1993). In Halbeslebe
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Maslach, C. (1982). Burnout: a soci
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Murrells, T., Robinson, S. & Griffi
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Piko, B. F. (1999). Work-related st
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Sherman, D. W. (2004). Nurses’ St
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Taris, T. W., Schreurs, P. J. G. &
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Wright, T. A. & Cropanzano, R. (199
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a. Age…………..years old b. Wh
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6.I do not particularly like differ
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4) I am interested in how you feel
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APPENDIX C ORIGINAL SPSS OUTPUTS Se
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Cases Reliability Scale: ALPHA Case
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Cases Case Processing Summary N % V
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RELIABILITY /VARIABLES=pici7 pici23
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Cases Case Processing Summary N % V
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Reliability Statistics Cronbach's A
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Section 6: Correlations of the test
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Emotional exhaustion_ mbi Depersona
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Table 11: Robust Tests of Equality
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ience d Worklo ad Stress related to
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Table 17: Coefficients(a) Unstandar
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Table 23: Excluded Variables(b) Par
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Table 30: Test of Homogeneity of Va
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a Predictors in the Model: (Constan
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5 6 country 4,870 ,772 ,342 6,305 ,
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Social support questionnaire ,145(b
Page 231 and 232: Being unprepaired and feeling inexp
Page 233 and 234: Social mobilizing capac. subscale_P
Page 235 and 236: Section 16: Correlations of the PIC
Page 237 and 238: Table 48: Correlations: (Group numb
Page 239 and 240: Positive thinking subscale_PIC I Se
Page 241 and 242: Positive thinking subscale_PICI Sen
Page 243 and 244: Approach-Belief System Monitoring-C
Page 245 and 246: Approach-Belief System Monitoring-
Page 247 and 248: Model 1 Variables Entered Work stre
Page 249 and 250: Change and Challenge orient. subsca
Page 251 and 252: Married -,160(c) -2,798 ,006 -,208
Page 253 and 254: Relationship with the patient’s r
Page 255 and 256: More than 5 years worked as a nurse
Page 257 and 258: Work and private life ,006(b) ,079
Page 259 and 260: Social creation capac. subscale_PIC
Page 261 and 262: 6 7 Residual 6334,172 172 36,827 To
Page 263 and 264: Self-Efficacy subscale_PICI ,109(a)
Page 265 and 266: Significant other subscale_ social
Page 267 and 268: Stress related to tasks -,109(d) -1
Page 269 and 270: 7 Age Relationship with patients Wo
Page 271 and 272: Estimate S.E. C.R. P Label Burnout
Page 273 and 274: country ss ws ls PIC Burnout PIC ,0
Page 275 and 276: Table 106: ECVI Model ECVI LO 90 HI
Page 277 and 278: coun try 2,41 8 dp -,723 ss ls PICI
Page 279 and 280: Table 120: tandardized Indirect Eff
Page 281: ment_mbi Emotional exhaustion_mbi D
Page 285 and 286: 2 Model 1 2 Married . a Dependent V
Page 287 and 288: Number of years at the current work
Page 289 and 290: edu Total How many years have you w
Page 291 and 292: Table 160: Chi-Square Tests Value d
Page 293 and 294: Death, dying Conflic ts with doctor
Page 295 and 296: Death, dying Conflic ts with doctor
Page 297 and 298: ** Correlation is significant at th
Page 299 and 300: Estimate S.E. C.R. P Label e12 2,40
Page 301 and 302: APPMONSYS CREEXSYS SELFREGSYS Goal
Page 303 and 304: Table 184: RMSEA Model RMSEA LO 90
Page 305 and 306: Table 192: Correlations: (Group num
Page 307 and 308: APPMONSYS CREEXSYS SELFREGSYS Self-
Page 309: Table 204: NCP Model NCP LO 90 HI 9
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