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Cronbach's Alpha N of Items ,680 5 RELIABILITY /VARIABLES=pici10 pici26 pici42 pici58 pici74 /FORMAT=NOLABELS /SCALE(ALPHA)=ALL/MODEL=ALPHA. Cases Reliability Scale: ALPHA Case Processing Summary N % Valid 187 100,0 Excluded( a) 0 ,0 Total 187 100,0 a Listwise deletion based on all variables in the procedure. Reliability Statistics Cronbach's Alpha N of Items ,665 5 RELIABILITY /VARIABLES=pici11 pici27 pici43 pici59 pici75 /FORMAT=NOLABELS /SCALE(ALPHA)=ALL/MODEL=ALPHA. Cases Reliability Scale: ALPHA Case Processing Summary N % Valid 187 100,0 Excluded( a) 0 ,0 Total 187 100,0 a Listwise deletion based on all variables in the procedure. Cronbach's Alpha N of Items ,750 5 RELIABILITY /VARIABLES=pici12r pici28r pici44r pici60r pici76r /FORMAT=NOLABELS /SCALE(ALPHA)=ALL/MODEL=ALPHA. Reliability Scale: ALPHA
Cases Case Processing Summary N % Valid 185 98,9 Excluded( 2 1,1 a) Total 187 100,0 a Listwise deletion based on all variables in the procedure. Reliability Statistics Cronbach's Alpha N of Items ,617 5 RELIABILITY /VARIABLES=pici13 pici29 pici45r pici61r pici77r /FORMAT=NOLABELS /SCALE(ALPHA)=ALL/MODEL=ALPHA. Cases Reliability Scale: ALPHA Case Processing Summary N % Valid 187 100,0 Excluded( 0 ,0 a) Total 187 100,0 a Listwise deletion based on all variables in the procedure. Reliability Statistics Cronbach's Alpha N of Items ,594 5 RELIABILITY /VARIABLES=pici14r pici30 pici46r pici62r pici78r /FORMAT=NOLABELS /SCALE(ALPHA)=ALL/MODEL=ALPHA. Reliability Scale: ALPHA Case Processing Summary N % Cases Valid 186 99,5 Excluded( a) 1 ,5 Total 187 100,0 a Listwise deletion based on all variables in the procedure. Reliability Statistics Cronbach's Alpha N of Items ,576 5 RELIABILITY /VARIABLES=pici15r pici31r pici47r pici63r pici79r /FORMAT=NOLABELS /SCALE(ALPHA)=ALL/MODEL=ALPHA.
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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
Page 155 and 156: what if the Hungarian nurses would
Page 157 and 158: immunity between different countrie
Page 159 and 160: care workers (usually nurses). In s
Page 161 and 162: more efficient if they would be dir
Page 163 and 164: Aries, M. & Ritter, I. Z. (1999). N
Page 165 and 166: 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: RELIABILITY /VARIABLES=pici7 pici23
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 and 218: ience d Worklo ad Stress related to
Page 219 and 220: Table 17: Coefficients(a) Unstandar
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
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Work and private life ,006(b) ,079
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Social creation capac. subscale_PIC
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6 7 Residual 6334,172 172 36,827 To
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Self-Efficacy subscale_PICI ,109(a)
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Significant other subscale_ social
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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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