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More than 5 years worked as a nurse Sig. (2-tailed) ,000 ,000 ,000 ,011 ,024 ,053 ,984 N 187 187 187 187 187 187 187 187 Pearson Correlation ,317( **) - ,162(* ) -,065 ,089 ,065 ,302(* *) Sig. (2-tailed) ,000 ,026 ,375 ,224 ,379 ,000 ,984 ,001 1 N 187 187 187 187 187 187 187 187 ** Correlation is significant at the 0.01 level (2-tailed). * Correlation is significant at the 0.05 level (2-tailed). Section 33: T-tests for scale demographic variables T-TEST GROUPS = country(1 2) /MISSING = ANALYSIS /VARIABLES = age wkcwpl /CRITERIA = CI(.95) . T-Test age age Equal variances Number of years at the current workplac e Table 162: Group Statistics Nationality N Mean Std. Deviation Std. Error Mean Hungarian 97 36,90 8,342 ,847 Swedish 90 46,78 9,449 ,996 Number of years at the current workplace Hungarian Swedish 97 90 6,93 12,66 6,852 9,910 ,696 1,045 assumed Equal variances not assumed Equal variances assumed Equal variances not assumed Table 163: Independent Samples Test Levene's Test for Equality of Variances t-test for Equality of Means Std. Mean Error Sig. (2- Differen Differen F Sig. t df tailed) ce ce 95% Confidence Interval of the Difference 2,246 ,136 -7,593 185 ,000 -9,881 1,301 -12,448 -7,313 -7,557 177,983 ,000 -9,881 1,307 -12,461 -7,301 25,658 ,000 -4,620 185 ,000 -5,723 1,239 -8,166 -3,279 -4,559 156,862 ,000 -5,723 1,255 -8,202 -3,243
Death, dying Conflic ts with doctor s Proble ms with collea gues Relatio nship with patient s Work and private life Section 34a: Correlations between 9 work stress scales and burnout for Hungarian nurses USE ALL. COMPUTE filter_$=(country = 1). VARIABLE LABEL filter_$ 'country = 1 (FILTER)'. VALUE LABELS filter_$ 0 'Not Selected' 1 'Selected'. FORMAT filter_$ (f1.0). FILTER BY filter_$. EXECUTE . CORRELATIONS /VARIABLES=ee dp pa halal konforv munktars betegek munkmag bethoz felkesz terheles feladat ws /PRINT=TWOTAIL NOSIG /MISSING=PAIRWISE . Table 164: Correlations Pears on Correl ation Death, dying 1 Conflic ts with doctor s ,700(* *) Problem s with colleagu es Relations hip with patients -,179 ,268(**) Work and private life ,421(* *) Relations hip with the patients' relatives Feeling unprepai red and unexperi enced Worklo ad ,340(**) ,469(**) ,130 Stress ors related to tasks ,324(* *) Emotion al exhausti on_mbi ,377(**) Deper sonaliz ation_ mbi ,413(* *) Perso nal accom plishm ent_m bi ,316(* *) Sig. (2tailed) ,000 ,079 ,008 ,000 ,001 ,000 ,206 ,001 ,000 ,000 ,002 N 97 97 97 97 97 97 97 97 97 97 97 97 Pears on Correl ation ,700(* *) 1 -,068 ,114 ,255(* ) ,203(*) ,346(**) ,192 ,207(* ) ,276(**) ,266(* *) Sig. (2tailed) ,000 ,507 ,264 ,012 ,047 ,001 ,060 ,041 ,006 ,008 ,053 N 97 97 97 97 97 97 97 97 97 97 97 97 Pears on Correl ation Sig. (2tailed) N Pears on Correl ation -,179 -,068 1 ,185 -,036 ,059 ,072 ,168 ,064 -,093 -,088 -,099 ,079 ,507 ,070 ,723 ,567 ,484 ,101 ,533 ,364 ,393 ,337 ,268(* *) 97 97 97 97 97 97 97 97 97 97 97 97 ,114 ,185 1 ,552(* *) ,326(**) ,517(**) ,508(* *) ,597(* *) ,425(**) ,489(* *) ,197 ,499(* *) Sig. (2tailed) ,008 ,264 ,070 ,000 ,001 ,000 ,000 ,000 ,000 ,000 ,000 N 97 97 97 97 97 97 97 97 97 97 97 97 Pears on Correl ation ,421(* *) ,255(* ) -,036 ,552(**) 1 ,612(**) ,558(**) ,321(* *) ,590(* *) ,652(**) ,580(* *) ,588(* *) Sig. (2tailed) ,000 ,012 ,723 ,000 ,000 ,000 ,001 ,000 ,000 ,000 ,000 N 97 97 97 97 97 97 97 97 97 97 97 97
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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
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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
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: Table 160: Chi-Square Tests Value d
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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