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Total more than 20 years Count % within How many 27 41 68 years have you worked as a nurse 39,7% 60,3% 100,0% % within Nationality 27,8% 45,6% 36,4% Count % within How many 97 90 187 years have you worked as a nurse 51,9% 48,1% 100,0% % within Nationality 100,0% 100,0% 100,0% Table 158: Chi-Square Tests Value df Asymp. Sig. (2-sided) Pearson Chi-Square 11,349(a) 4 ,023 Likelihood Ratio 11,521 4 ,021 Linear-by-Linear Association ,540 1 ,462 N of Valid Cases 187 a 0 cells (,0%) have expected count less than 5. The minimum expected count is 11,55. How many hours do you work on average per week * Nationality Table 159: Crosstab How many hours do you work on average per week Total below 40 hours 40 hours above 40 hours Nationality Total Hungarian Swedish Hungarian Count % within How many 4 58 62 hours do you work on average per week 6,5% 93,5% 100,0% % within Nationality 4,1% 64,4% 33,2% Count % within How many 62 29 91 hours do you work on average per week 68,1% 31,9% 100,0% % within Nationality 63,9% 32,2% 48,7% Count % within How many 31 3 34 hours do you work on average per week 91,2% 8,8% 100,0% % within Nationality 32,0% 3,3% 18,2% Count % within How many 97 90 187 hours do you work on average per week 51,9% 48,1% 100,0% % within Nationality 100,0% 100,0% 100,0%
Table 160: Chi-Square Tests Value df Asymp. Sig. (2-sided) Pearson Chi-Square 81,911(a) 2 ,000 Likelihood Ratio 95,110 2 ,000 Linear-by-Linear Association 74,828 1 ,000 N of Valid Cases 187 a 0 cells (,0%) have expected count less than 5. The minimum expected count is 16,36. Section 32: Correlations for demograpic variables CORRELATIONS /VARIABLES=age edu_years higheredu married partner morechildren worksalot workedalot /PRINT=TWOTAIL NOSIG /MISSING=PAIRWISE . age age Pearson Correlation 1 Years spent in education Higher education Table 161: Correlations Years spent in educa tion ,294(* *) Highe r educa tion ,370(* *) Marrie d ,281(* *) Partn er ,091 More than 1 childr en ,407(* *) Works at least 40 hours - ,279(* *) More than 5 years worked as a nurse ,317(**) Sig. (2-tailed) ,000 ,000 ,000 ,218 ,000 ,000 ,000 N 187 187 187 187 187 187 187 187 Pearson Correlation ,294( **) 1 ,933(* *) ,156(* ) ,171(* ) ,049 - ,471(* *) -,162(*) Sig. (2-tailed) ,000 ,000 ,033 ,019 ,506 ,000 ,026 N 187 187 187 187 187 187 187 187 Pearson Correlation Married Pearson Correlation ,370( **) ,933(* *) 1 ,132 ,177(* ) ,040 - ,504(* *) -,065 Sig. (2-tailed) ,000 ,000 ,073 ,015 ,591 ,000 ,375 N 187 187 187 187 187 187 187 187 ,281( **) ,156(* ) ,132 1 ,644(* *) ,371(* *) - ,186(* ) Sig. (2-tailed) ,000 ,033 ,073 ,000 ,000 ,011 ,224 N 187 187 187 187 187 187 187 187 Partner Pearson Correlation ,091 More than 1 children Works at least 40 hours ,171(* ) ,177(* ) ,644(* *) 1 ,234(* *) - ,166(* ) Sig. (2-tailed) ,218 ,019 ,015 ,000 ,001 ,024 ,379 N 187 187 187 187 187 187 187 187 Pearson ,407( ,049 ,040 ,371(* ,234(* 1 -,141 ,302(**) Correlation **) Sig. (2-tailed) ,000 ,506 ,591 ,000 ,001 ,053 ,000 N 187 187 187 187 187 187 187 187 Pearson Correlation - ,279( **) - ,471(* *) - ,504(* *) *) - ,186(* ) *) - ,166(* ) ,089 ,065 -,141 1 ,001
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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
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Being unprepaired and feeling inexp
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Social mobilizing capac. subscale_P
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Section 16: Correlations of the PIC
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Table 48: Correlations: (Group numb
Page 239 and 240: Positive thinking subscale_PIC I Se
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Page 243 and 244: Approach-Belief System Monitoring-C
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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
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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: edu Total How many years have you w
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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