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Family subscale_ social support questionnaire Friends subscale_ social support questionnaire Significant other subscale_ social support questionnaire Social support questionnaire Table 69: Test of Homogeneity of Variances Levene Statistic df1 df2 Sig. Family subscale_ social support questionnaire 1,573 1 184 ,211 Friends subscale_ social support questionnaire ,187 1 185 ,666 Significant other subscale_ social support questionnaire Social support questionnaire Family subscale_ social support questionnaire ,152 1 185 ,697 ,017 1 184 ,898 Table 70: ANOVA Sum of Squares df Mean Square F Sig. Between Groups 2,859 1 2,859 2,088 ,150 Within Groups 251,926 184 1,369 Total 254,785 185 Between Groups 1,490 1 1,490 1,287 ,258 Within Groups 214,204 185 1,158 Total 215,694 186 Between Groups 1,057 1 1,057 ,707 ,401 Within Groups 276,501 185 1,495 Total 277,557 186 Between Groups 1,718 1 1,718 1,733 ,190 Within Groups 182,367 184 ,991 Total 184,085 185 Table 71: Robust Tests of Equality of Means Welch Statistic(a) df1 df2 Sig. 2,113 1 183,512 ,148 Friends subscale_ social support questionnaire Welch 1,303 1 183,240 ,255 Significant other subscale_ social support questionnaire Welch ,701 1 178,976 ,403 Social support questionnaire Welch 1,738 1 183,496 ,189 a Asymptotically F distributed. Section 22: Regression analysis for Emotional Exhaustion and all variables REGRESSION /MISSING LISTWISE /STATISTICS COEFF OUTS R ANOVA /CRITERIA=PIN(.05) POUT(.10) /NOORIGIN /DEPENDENT ee /METHOD=STEPWISE age wkcwpl edu_years partner morechildren worksalot workedalot married country ls fam fri so ss posthink control coher selfconc selfgrow chanchall socmonit probsolv selfeffi socmob socreat synchron goalorient impuls emotion irritability death confldoc colleag relpat workpriv patrel unprepinexp workload stresstask ws .
Model 1 Variables Entered Work stress sum 2 Emotional control subscale_PI CI 3 Creative Self-Concept . subscale_PI CI Stepwise (Criteria: Probability-of-F-to-enter = ,100). Stepwise (Criteria: Probability-of-F-to-enter = ,100). Table 73: Model Summary Adjusted R Std. Error of Model R R Square Square the Estimate 1 ,528(a) ,279 ,275 8,86540 2 ,610(b) ,373 ,365 8,29309 3 ,644(c) ,415 ,405 8,03322 4 ,663(d) ,440 ,427 7,88013 a Predictors: (Constant), Work stress sum b Predictors: (Constant), Work stress sum, Emotional control subscale_PICI c Predictors: (Constant), Work stress sum, Emotional control subscale_PICI, Creative Self-Concept subscale_PICI d Predictors: (Constant), Work stress sum, Emotional control subscale_PICI, Creative Self-Concept subscale_PICI, Married 1 1 Model 1 2 Table 74: ANOVA(e) Sum of Squares df Mean Square F Sig. Regression 5349,057 1 5349,057 68,058 ,000(a) Residual 13832,763 176 78,595 Total 19181,820 177 Regression 7146,132 2 3573,066 51,953 ,000(b) Residual 12035,688 175 68,775 Total 19181,820 177 3 Regression 7953,141 3 2651,047 41,081 ,000(c) Residual 10742,679 173 62,096 Total 19181,820 177 a Predictors: (Constant), Work stress sum b Predictors: (Constant), Work stress sum, Emotional control subscale_PICI c Predictors: (Constant), Work stress sum, Emotional control subscale_PICI, Creative Self-Concept subscale_PICI d Predictors: (Constant), Work stress sum, Emotional control subscale_PICI, Creative Self-Concept subscale_PICI, Married e Dependent Variable: Emotional exhaustion_mbi Table 75: Coefficients(a) Unstandardized Coefficients Standardized Coefficients t Sig. Model B Std. Error Beta B Std. Error 1 (Constant) -3,718 2,664 -1,396 ,165
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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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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 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: Approach-Belief System Monitoring-
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 and 282: ment_mbi Emotional exhaustion_mbi D
Page 283 and 284: Personal accomplishment _mbi single
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
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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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