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Table 110: Intercepts: (Group number 1 - Default model) Estimate S.E. C.R. P Label country 1,481 ,037 40,432 *** par_16 ls -4,265 2,808 -1,519 ,129 par_18 ss 5,643 ,145 38,895 *** par_19 ws 147,077 6,062 24,262 *** par_17 dp 5,354 1,273 4,206 *** par_12 ee 18,244 4,171 4,374 *** par_13 moncreatexec 100,040 3,288 30,422 *** par_14 appbelief 47,174 1,778 26,538 *** par_15 Table 111: Variances: (Group number 1 - Default model) Estimate S.E. C.R. P Label e24 ,250 ,026 9,644 *** par_20 e25 78,123 15,482 5,046 *** par_21 e27 27,772 2,918 9,518 *** par_22 e28 ,833 ,093 8,954 *** par_23 e26 604,314 62,848 9,616 *** par_24 e20 60,458 12,378 4,884 *** par_25 e2 12,826 1,634 7,851 *** par_26 e21 141,186 17,662 7,994 *** par_27 e23 -,971 5,509 -,176 ,860 par_28 e1 4,819 10,639 ,453 ,651 par_29 Matrices (Group number 1 - Default model) Table 112: Implied (for all variables) Covariances (Group number 1 - Default model) coun try ss ls PICI ws Burn out appbe lief moncreat exec ee dp country ,250 ss ,026 ,990 ls 1,46 7 3,72 8 49,0 73 PICI 1,11 6 4,74 0 43,2 30 115,4 97 ws - 6,03 8 - 2,79 5 - 52,7 08 - 78,90 5 774,7 57 Burnout - 2,41 8 - 1,98 4 - 27,9 68 - 52,26 6 150,5 94 108,1 67 appbelief ,840 3,56 8 32,5 41 86,94 0 - 59,39 5 - 39,34 3 64,47 2 moncreat exec 1,11 6 4,74 0 43,2 30 115,4 97 - 78,90 5 - 52,26 6 86,94 0 256,683 ee - - - - 150,5 108,1 - -52,266 112,9
coun try 2,41 8 dp -,723 ss ls PICI ws Burn out appbe lief 1,98 27,9 52,26 94 67 39,34 4 68 6 3 - ,593 - 8,35 6 - 15,61 6 44,99 4 32,31 8 - 11,75 5 moncreat exec ee dp 85 -15,616 32,31 8 Table 113: Implied (for all variables) Correlations (Group number 1 - Default model) count ry ss ls country 1,000 ss ,052 1,00 0 ls ,419 ,535 1,00 0 PICI ,208 ,443 ,574 ws -,434 Burnout -,465 - ,101 - ,192 - ,270 - ,384 appbelief ,209 ,446 ,579 moncreate xec ee -,455 dp -,305 countr y 1,481 PIC I 1,00 0 - ,264 - ,468 1,00 8 ,139 ,297 ,385 ,671 - ,188 - ,126 - ,376 - ,252 - ,458 - ,306 ws Burno ut 1,00 0 ,520 1,000 - ,266 - ,177 appbel ief -,471 1,000 moncreate xec -,314 ,676 1,000 ,509 ,978 -,461 -,307 1,00 0 ,341 ,655 -,309 -,206 ,641 Table 114: Implied (for all variables) Means (Group number 1 - Default model) ss ls PICI ws Burno ut appbeli ef moncreatex ec 6,04 1 22,69 0 17,26 0 106,25 1 -,667 60,167 117,300 Table 115: Total Effects (Group number 1 - Default model) country ss ls PICI ws Burnout ss ,103 ,057 ,019 ,024 ,000 ,000 ls 5,876 3,278 ,057 ,076 ,000 ,000 PICI 4,469 2,493 ,804 ,057 ,000 ,000 ws -24,187 -1,171 -,378 -,497 ,000 ,000 Burnout -9,688 -,935 -,302 -,397 ,120 ,000 appbelief 3,364 1,877 ,606 ,796 ,000 ,000 moncreatexec 4,469 2,493 ,804 1,057 ,000 ,000 ee -9,688 -,935 -,302 -,397 ,120 1,000 dp -2,894 -,279 -,090 -,119 ,036 ,299 17,57 8 22,4 82 ee dp 1,00 0 ee dp 5,15 5
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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
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
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: Table 106: ECVI Model ECVI LO 90 HI
Page 279 and 280: Table 120: tandardized Indirect Eff
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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
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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