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Model Variables Entered 1 Stress related to tasks 2 3 4 Model 1 2 3 4 Conflicts with doctors Work and private life Relationship with patients Table 14: Variables Entered/Removed(a) Variables Removed Method a Dependent Variable: Emotional exhaustion_mbi . Stepwise (Criteria: Probability-of-F-to-enter = ,100). Table 15: Model Summary Adjusted R Std. Error of Model R R Square Square the Estimate 1 ,513(a) ,263 ,259 9,21463 2 ,543(b) ,295 ,287 9,03723 3 ,557(c) ,310 ,299 8,96312 4 ,574(d) ,329 ,314 8,86568 a Predictors: (Constant), Stress related to tasks b Predictors: (Constant), Stress related to tasks, Conflicts with doctors c Predictors: (Constant), Stress related to tasks, Conflicts with doctors, Work and private life d Predictors: (Constant), Stress related to tasks, Conflicts with doctors, Work and private life, Relationship with patients Table 16: ANOVA(e) Sum of Squares df Mean Square F Sig. Regression 5575,818 1 5575,818 65,668 ,000(a) Residual 15623,322 184 84,909 Total 21199,140 185 Regression 6253,264 2 3126,632 38,283 ,000(b) Residual 14945,876 183 81,671 Total 21199,140 185 Regression 6577,705 3 2192,568 27,292 ,000(c) Residual 14621,434 182 80,338 Total 21199,140 185 Regression 6972,486 4 1743,122 22,177 ,000(d) Residual 14226,653 181 78,600 Total 21199,140 185 a Predictors: (Constant), Stress related to tasks b Predictors: (Constant), Stress related to tasks, Conflicts with doctors c Predictors: (Constant), Stress related to tasks, Conflicts with doctors, Work and private life d Predictors: (Constant), Stress related to tasks, Conflicts with doctors, Work and private life, Relationship with patients e Dependent Variable: Emotional exhaustion_mbi
Table 17: Coefficients(a) Unstandardized Coefficients Standardized Coefficients t Sig. Model B Std. Error Beta B Std. Error 1 2 3 4 (Constant) ,124 2,264 ,055 ,956 Stress related to tasks 1,204 ,149 ,513 8,104 ,000 (Constant) -1,725 2,311 -,746 ,456 Stress related to tasks ,766 ,211 ,326 3,634 ,000 Conflicts with doctors ,548 ,190 ,258 2,880 ,004 (Constant) -,016 2,445 -,007 ,995 Stress related to tasks ,872 ,216 ,371 4,045 ,000 Conflicts with doctors ,607 ,191 ,286 3,176 ,002 Work and private life -,719 ,358 -,141 -2,010 ,046 (Constant) -1,936 2,566 -,754 ,452 Stress related to tasks ,804 ,215 ,342 3,733 ,000 Conflicts with doctors ,469 ,199 ,221 2,357 ,019 Work and private life -,908 ,364 -,178 -2,497 ,013 Relationship with patients ,579 ,258 ,176 2,241 ,026 a Dependent Variable: Emotional exhaustion_mbi Table 18: Excluded Variables(e) Partial Collinearity Model Beta In t Sig. Correlation Statistics 1 Death, dying ,150(a) 1,754 ,081 ,129 ,545 Conflicts with doctors ,258(a) 2,880 ,004 ,208 ,478 Problems with colleagues ,106(a) 1,282 ,202 ,094 ,579 Relationship with patients ,186(a) 2,533 ,012 ,184 ,719 Work and private life -,107(a) -1,506 ,134 -,111 ,787 Relationship with the patient’s relatives ,038(a) ,368 ,714 ,027 ,382 Being unprepaired and feeling inexperienced ,193(a) 2,468 ,015 ,179 ,637 Workload ,052(a) ,622 ,535 ,046 ,573 2 Death, dying ,067(b) ,733 ,465 ,054 ,465 Problems with colleagues ,019(b) ,216 ,829 ,016 ,494 Relationship with patients ,130(b) 1,683 ,094 ,124 ,637 Work and private life -,141(b) -2,010 ,046 -,147 ,769 Relationship with the patient’s relatives -,035(b) -,335 ,738 -,025 ,359 Being unprepaired and feeling innexperienced ,107(b) 1,185 ,238 ,087 ,473 Workload -,004(b) -,048 ,961 -,004 ,540 3 Death, dying ,123(c) 1,318 ,189 ,098 ,433 Problems with colleagues ,043(c) ,483 ,629 ,036 ,485 Relationship with patients ,176(c) 2,241 ,026 ,164 ,603 Relationship with the patient’s relatives ,018(c) ,171 ,864 ,013 ,337 Being unprepaired and feeling inexperienced ,144(c) 1,593 ,113 ,118 ,457 Workload ,049(c) ,559 ,577 ,042 ,495 4 Death, dying ,097(d) 1,035 ,302 ,077 ,425 Problems with colleagues ,009(d) ,099 ,922 ,007 ,470
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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
Page 167 and 168: Chang, E. M., Bidewell, J. W., Hunt
Page 169 and 170: Cronin-Stubbs, D. & Rooks, C. A. (1
Page 171 and 172: Diener, E., Suh, E., Lucas, R. E. &
Page 173 and 174: Ghorpade, J., Lackritz, J. & Singh,
Page 175 and 176: Hupcey, J. E. (1998). Clarifying th
Page 177 and 178: Lakin, B., Leon, S. C. & Miller, S.
Page 179 and 180: Leiter, M. P. (1993). In Halbeslebe
Page 181 and 182: Maslach, C. (1982). Burnout: a soci
Page 183 and 184: Murrells, T., Robinson, S. & Griffi
Page 185 and 186: Piko, B. F. (1999). Work-related st
Page 187 and 188: Sherman, D. W. (2004). Nurses’ St
Page 189 and 190: Taris, T. W., Schreurs, P. J. G. &
Page 191 and 192: Wright, T. A. & Cropanzano, R. (199
Page 193 and 194: a. Age…………..years old b. Wh
Page 195 and 196: 6.I do not particularly like differ
Page 197 and 198: 4) I am interested in how you feel
Page 199 and 200: APPENDIX C ORIGINAL SPSS OUTPUTS Se
Page 201 and 202: Cases Reliability Scale: ALPHA Case
Page 203 and 204: Cases Case Processing Summary N % V
Page 205 and 206: RELIABILITY /VARIABLES=pici7 pici23
Page 207 and 208: Cases Case Processing Summary N % V
Page 209 and 210: Reliability Statistics Cronbach's A
Page 211 and 212: Section 6: Correlations of the test
Page 213 and 214: Emotional exhaustion_ mbi Depersona
Page 215 and 216: Table 11: Robust Tests of Equality
Page 217: ience d Worklo ad Stress related to
Page 221 and 222: Table 23: Excluded Variables(b) Par
Page 223 and 224: Table 30: Test of Homogeneity of Va
Page 225 and 226: a Predictors in the Model: (Constan
Page 227 and 228: 5 6 country 4,870 ,772 ,342 6,305 ,
Page 229 and 230: 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
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7 Age Relationship with patients Wo
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Estimate S.E. C.R. P Label Burnout
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country ss ws ls PIC Burnout PIC ,0
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Table 106: ECVI Model ECVI LO 90 HI
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coun try 2,41 8 dp -,723 ss ls PICI
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Table 120: tandardized Indirect Eff
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ment_mbi Emotional exhaustion_mbi D
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Personal accomplishment _mbi single
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2 Model 1 2 Married . a Dependent V
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Number of years at the current work
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edu Total How many years have you w
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Table 160: Chi-Square Tests Value d
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Death, dying Conflic ts with doctor
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Death, dying Conflic ts with doctor
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** Correlation is significant at th
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Estimate S.E. C.R. P Label e12 2,40
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APPMONSYS CREEXSYS SELFREGSYS Goal
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Table 184: RMSEA Model RMSEA LO 90
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Table 192: Correlations: (Group num
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APPMONSYS CREEXSYS SELFREGSYS Self-
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Table 204: NCP Model NCP LO 90 HI 9
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