Maternal Parenting Stress Following Paternal or Close Family Incarceration: Bayesian Model-Based Profiling Using the HILDA Longitudinal Survey
Objectives To: (1) examine the existence and extent of heterogeneity in effects of paternal incarceration (PI) or close family incarceration (CFI) on maternal parenting stress; (2) identify key variables related to the effect of PI and CFI on maternal parenting stress. Methods Using data from HILDA,...
Ausführliche Beschreibung
Gespeichert in:
| Autor*in: |
Dennison, Susan [verfasserIn] Besemer, Kirsten [verfasserIn] Low-Choy, Samantha [verfasserIn] |
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| Format: |
E-Artikel |
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| Sprache: |
Englisch |
| Erschienen: |
2019 |
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| Schlagwörter: |
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| Übergeordnetes Werk: |
Enthalten in: Journal of quantitative criminology - Getzville, NY : HeinOnline, 1985, 36(2019), 4 vom: 10. Sept., Seite 753-778 |
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| Übergeordnetes Werk: |
volume:36 ; year:2019 ; number:4 ; day:10 ; month:09 ; pages:753-778 |
| Links: |
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| DOI / URN: |
10.1007/s10940-019-09430-z |
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| Katalog-ID: |
SPR042127327 |
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| 245 | 1 | 0 | |a Maternal Parenting Stress Following Paternal or Close Family Incarceration: Bayesian Model-Based Profiling Using the HILDA Longitudinal Survey |
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| 520 | |a Objectives To: (1) examine the existence and extent of heterogeneity in effects of paternal incarceration (PI) or close family incarceration (CFI) on maternal parenting stress; (2) identify key variables related to the effect of PI and CFI on maternal parenting stress. Methods Using data from HILDA, an Australian longitudinal survey, we investigate changes in maternal parenting stress for mothers who experienced either PI or CFI. There were 15 demographic and stress-related explanatory variables. Using Bayesian profile regression, we examine the average changes in maternal parenting stress after incarceration compared to the mother’s average level of parenting stress in prior waves, simultaneously with model-based clustering to characterise the profiles of mothers having a different degree of change. Results Three profiles of mothers were identified: (1) A small decrease in parental stress levels (n = 112); (2) No measurable average change in parental stress levels (n = 46); (3) A small increase in parental stress levels (n = 117). Only for the second cluster did the 95% posterior credible intervals for the means include zero as a plausible value. The estimated means for clusters 1 (decrease) and 3 (increase) did not overlap and are clearly separated. Conclusions Neither PI nor CFI helped profile mothers. Thus, research should examine wider family incarceration effects on children and caregivers. Prior adversity, wellbeing and family demographics contributed to the cluster profiles. Parenting stress is heterogeneous and improved methods are needed to disentangle the effects of incarceration from other contextual, recent and cumulative adverse events in people’s lives. | ||
| 650 | 4 | |a Paternal incarceration |7 (dpeaa)DE-He213 | |
| 650 | 4 | |a Family incarceration |7 (dpeaa)DE-He213 | |
| 650 | 4 | |a Parenting stress |7 (dpeaa)DE-He213 | |
| 650 | 4 | |a Mothers |7 (dpeaa)DE-He213 | |
| 650 | 4 | |a Profile regression |7 (dpeaa)DE-He213 | |
| 650 | 4 | |a Bayesian model-based profiling |7 (dpeaa)DE-He213 | |
| 700 | 1 | |a Besemer, Kirsten |e verfasserin |4 aut | |
| 700 | 1 | |a Low-Choy, Samantha |e verfasserin |4 aut | |
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10.1007/s10940-019-09430-z doi (DE-627)SPR042127327 (SPR)s10940-019-09430-z-e DE-627 ger DE-627 rakwb eng 340 ASE 86.00 bkl Dennison, Susan verfasserin aut Maternal Parenting Stress Following Paternal or Close Family Incarceration: Bayesian Model-Based Profiling Using the HILDA Longitudinal Survey 2019 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Objectives To: (1) examine the existence and extent of heterogeneity in effects of paternal incarceration (PI) or close family incarceration (CFI) on maternal parenting stress; (2) identify key variables related to the effect of PI and CFI on maternal parenting stress. Methods Using data from HILDA, an Australian longitudinal survey, we investigate changes in maternal parenting stress for mothers who experienced either PI or CFI. There were 15 demographic and stress-related explanatory variables. Using Bayesian profile regression, we examine the average changes in maternal parenting stress after incarceration compared to the mother’s average level of parenting stress in prior waves, simultaneously with model-based clustering to characterise the profiles of mothers having a different degree of change. Results Three profiles of mothers were identified: (1) A small decrease in parental stress levels (n = 112); (2) No measurable average change in parental stress levels (n = 46); (3) A small increase in parental stress levels (n = 117). Only for the second cluster did the 95% posterior credible intervals for the means include zero as a plausible value. The estimated means for clusters 1 (decrease) and 3 (increase) did not overlap and are clearly separated. Conclusions Neither PI nor CFI helped profile mothers. Thus, research should examine wider family incarceration effects on children and caregivers. Prior adversity, wellbeing and family demographics contributed to the cluster profiles. Parenting stress is heterogeneous and improved methods are needed to disentangle the effects of incarceration from other contextual, recent and cumulative adverse events in people’s lives. Paternal incarceration (dpeaa)DE-He213 Family incarceration (dpeaa)DE-He213 Parenting stress (dpeaa)DE-He213 Mothers (dpeaa)DE-He213 Profile regression (dpeaa)DE-He213 Bayesian model-based profiling (dpeaa)DE-He213 Besemer, Kirsten verfasserin aut Low-Choy, Samantha verfasserin aut Enthalten in Journal of quantitative criminology Getzville, NY : HeinOnline, 1985 36(2019), 4 vom: 10. Sept., Seite 753-778 (DE-627)320578003 (DE-600)2017241-2 1573-7799 nnns volume:36 year:2019 number:4 day:10 month:09 pages:753-778 https://dx.doi.org/10.1007/s10940-019-09430-z lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_101 GBV_ILN_105 GBV_ILN_110 GBV_ILN_120 GBV_ILN_138 GBV_ILN_150 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_171 GBV_ILN_184 GBV_ILN_187 GBV_ILN_206 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_250 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_374 GBV_ILN_602 GBV_ILN_636 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2018 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2031 GBV_ILN_2034 GBV_ILN_2037 GBV_ILN_2038 GBV_ILN_2039 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2057 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2070 GBV_ILN_2086 GBV_ILN_2088 GBV_ILN_2093 GBV_ILN_2106 GBV_ILN_2107 GBV_ILN_2108 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2116 GBV_ILN_2118 GBV_ILN_2119 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2144 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2188 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2446 GBV_ILN_2470 GBV_ILN_2472 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_2548 GBV_ILN_2949 GBV_ILN_2950 GBV_ILN_4012 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4246 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4346 GBV_ILN_4393 GBV_ILN_4700 86.00 ASE AR 36 2019 4 10 09 753-778 |
| spelling |
10.1007/s10940-019-09430-z doi (DE-627)SPR042127327 (SPR)s10940-019-09430-z-e DE-627 ger DE-627 rakwb eng 340 ASE 86.00 bkl Dennison, Susan verfasserin aut Maternal Parenting Stress Following Paternal or Close Family Incarceration: Bayesian Model-Based Profiling Using the HILDA Longitudinal Survey 2019 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Objectives To: (1) examine the existence and extent of heterogeneity in effects of paternal incarceration (PI) or close family incarceration (CFI) on maternal parenting stress; (2) identify key variables related to the effect of PI and CFI on maternal parenting stress. Methods Using data from HILDA, an Australian longitudinal survey, we investigate changes in maternal parenting stress for mothers who experienced either PI or CFI. There were 15 demographic and stress-related explanatory variables. Using Bayesian profile regression, we examine the average changes in maternal parenting stress after incarceration compared to the mother’s average level of parenting stress in prior waves, simultaneously with model-based clustering to characterise the profiles of mothers having a different degree of change. Results Three profiles of mothers were identified: (1) A small decrease in parental stress levels (n = 112); (2) No measurable average change in parental stress levels (n = 46); (3) A small increase in parental stress levels (n = 117). Only for the second cluster did the 95% posterior credible intervals for the means include zero as a plausible value. The estimated means for clusters 1 (decrease) and 3 (increase) did not overlap and are clearly separated. Conclusions Neither PI nor CFI helped profile mothers. Thus, research should examine wider family incarceration effects on children and caregivers. Prior adversity, wellbeing and family demographics contributed to the cluster profiles. Parenting stress is heterogeneous and improved methods are needed to disentangle the effects of incarceration from other contextual, recent and cumulative adverse events in people’s lives. Paternal incarceration (dpeaa)DE-He213 Family incarceration (dpeaa)DE-He213 Parenting stress (dpeaa)DE-He213 Mothers (dpeaa)DE-He213 Profile regression (dpeaa)DE-He213 Bayesian model-based profiling (dpeaa)DE-He213 Besemer, Kirsten verfasserin aut Low-Choy, Samantha verfasserin aut Enthalten in Journal of quantitative criminology Getzville, NY : HeinOnline, 1985 36(2019), 4 vom: 10. Sept., Seite 753-778 (DE-627)320578003 (DE-600)2017241-2 1573-7799 nnns volume:36 year:2019 number:4 day:10 month:09 pages:753-778 https://dx.doi.org/10.1007/s10940-019-09430-z lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_101 GBV_ILN_105 GBV_ILN_110 GBV_ILN_120 GBV_ILN_138 GBV_ILN_150 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_171 GBV_ILN_184 GBV_ILN_187 GBV_ILN_206 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_250 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_374 GBV_ILN_602 GBV_ILN_636 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2018 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2031 GBV_ILN_2034 GBV_ILN_2037 GBV_ILN_2038 GBV_ILN_2039 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2057 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2070 GBV_ILN_2086 GBV_ILN_2088 GBV_ILN_2093 GBV_ILN_2106 GBV_ILN_2107 GBV_ILN_2108 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2116 GBV_ILN_2118 GBV_ILN_2119 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2144 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2188 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2446 GBV_ILN_2470 GBV_ILN_2472 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_2548 GBV_ILN_2949 GBV_ILN_2950 GBV_ILN_4012 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4246 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4346 GBV_ILN_4393 GBV_ILN_4700 86.00 ASE AR 36 2019 4 10 09 753-778 |
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10.1007/s10940-019-09430-z doi (DE-627)SPR042127327 (SPR)s10940-019-09430-z-e DE-627 ger DE-627 rakwb eng 340 ASE 86.00 bkl Dennison, Susan verfasserin aut Maternal Parenting Stress Following Paternal or Close Family Incarceration: Bayesian Model-Based Profiling Using the HILDA Longitudinal Survey 2019 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Objectives To: (1) examine the existence and extent of heterogeneity in effects of paternal incarceration (PI) or close family incarceration (CFI) on maternal parenting stress; (2) identify key variables related to the effect of PI and CFI on maternal parenting stress. Methods Using data from HILDA, an Australian longitudinal survey, we investigate changes in maternal parenting stress for mothers who experienced either PI or CFI. There were 15 demographic and stress-related explanatory variables. Using Bayesian profile regression, we examine the average changes in maternal parenting stress after incarceration compared to the mother’s average level of parenting stress in prior waves, simultaneously with model-based clustering to characterise the profiles of mothers having a different degree of change. Results Three profiles of mothers were identified: (1) A small decrease in parental stress levels (n = 112); (2) No measurable average change in parental stress levels (n = 46); (3) A small increase in parental stress levels (n = 117). Only for the second cluster did the 95% posterior credible intervals for the means include zero as a plausible value. The estimated means for clusters 1 (decrease) and 3 (increase) did not overlap and are clearly separated. Conclusions Neither PI nor CFI helped profile mothers. Thus, research should examine wider family incarceration effects on children and caregivers. Prior adversity, wellbeing and family demographics contributed to the cluster profiles. Parenting stress is heterogeneous and improved methods are needed to disentangle the effects of incarceration from other contextual, recent and cumulative adverse events in people’s lives. Paternal incarceration (dpeaa)DE-He213 Family incarceration (dpeaa)DE-He213 Parenting stress (dpeaa)DE-He213 Mothers (dpeaa)DE-He213 Profile regression (dpeaa)DE-He213 Bayesian model-based profiling (dpeaa)DE-He213 Besemer, Kirsten verfasserin aut Low-Choy, Samantha verfasserin aut Enthalten in Journal of quantitative criminology Getzville, NY : HeinOnline, 1985 36(2019), 4 vom: 10. Sept., Seite 753-778 (DE-627)320578003 (DE-600)2017241-2 1573-7799 nnns volume:36 year:2019 number:4 day:10 month:09 pages:753-778 https://dx.doi.org/10.1007/s10940-019-09430-z lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_101 GBV_ILN_105 GBV_ILN_110 GBV_ILN_120 GBV_ILN_138 GBV_ILN_150 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_171 GBV_ILN_184 GBV_ILN_187 GBV_ILN_206 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_250 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_374 GBV_ILN_602 GBV_ILN_636 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2018 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2031 GBV_ILN_2034 GBV_ILN_2037 GBV_ILN_2038 GBV_ILN_2039 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2057 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2070 GBV_ILN_2086 GBV_ILN_2088 GBV_ILN_2093 GBV_ILN_2106 GBV_ILN_2107 GBV_ILN_2108 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2116 GBV_ILN_2118 GBV_ILN_2119 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2144 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2188 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2446 GBV_ILN_2470 GBV_ILN_2472 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_2548 GBV_ILN_2949 GBV_ILN_2950 GBV_ILN_4012 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4246 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4346 GBV_ILN_4393 GBV_ILN_4700 86.00 ASE AR 36 2019 4 10 09 753-778 |
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10.1007/s10940-019-09430-z doi (DE-627)SPR042127327 (SPR)s10940-019-09430-z-e DE-627 ger DE-627 rakwb eng 340 ASE 86.00 bkl Dennison, Susan verfasserin aut Maternal Parenting Stress Following Paternal or Close Family Incarceration: Bayesian Model-Based Profiling Using the HILDA Longitudinal Survey 2019 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Objectives To: (1) examine the existence and extent of heterogeneity in effects of paternal incarceration (PI) or close family incarceration (CFI) on maternal parenting stress; (2) identify key variables related to the effect of PI and CFI on maternal parenting stress. Methods Using data from HILDA, an Australian longitudinal survey, we investigate changes in maternal parenting stress for mothers who experienced either PI or CFI. There were 15 demographic and stress-related explanatory variables. Using Bayesian profile regression, we examine the average changes in maternal parenting stress after incarceration compared to the mother’s average level of parenting stress in prior waves, simultaneously with model-based clustering to characterise the profiles of mothers having a different degree of change. Results Three profiles of mothers were identified: (1) A small decrease in parental stress levels (n = 112); (2) No measurable average change in parental stress levels (n = 46); (3) A small increase in parental stress levels (n = 117). Only for the second cluster did the 95% posterior credible intervals for the means include zero as a plausible value. The estimated means for clusters 1 (decrease) and 3 (increase) did not overlap and are clearly separated. Conclusions Neither PI nor CFI helped profile mothers. Thus, research should examine wider family incarceration effects on children and caregivers. Prior adversity, wellbeing and family demographics contributed to the cluster profiles. Parenting stress is heterogeneous and improved methods are needed to disentangle the effects of incarceration from other contextual, recent and cumulative adverse events in people’s lives. Paternal incarceration (dpeaa)DE-He213 Family incarceration (dpeaa)DE-He213 Parenting stress (dpeaa)DE-He213 Mothers (dpeaa)DE-He213 Profile regression (dpeaa)DE-He213 Bayesian model-based profiling (dpeaa)DE-He213 Besemer, Kirsten verfasserin aut Low-Choy, Samantha verfasserin aut Enthalten in Journal of quantitative criminology Getzville, NY : HeinOnline, 1985 36(2019), 4 vom: 10. Sept., Seite 753-778 (DE-627)320578003 (DE-600)2017241-2 1573-7799 nnns volume:36 year:2019 number:4 day:10 month:09 pages:753-778 https://dx.doi.org/10.1007/s10940-019-09430-z lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_101 GBV_ILN_105 GBV_ILN_110 GBV_ILN_120 GBV_ILN_138 GBV_ILN_150 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_171 GBV_ILN_184 GBV_ILN_187 GBV_ILN_206 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_250 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_374 GBV_ILN_602 GBV_ILN_636 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2018 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2031 GBV_ILN_2034 GBV_ILN_2037 GBV_ILN_2038 GBV_ILN_2039 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2057 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2070 GBV_ILN_2086 GBV_ILN_2088 GBV_ILN_2093 GBV_ILN_2106 GBV_ILN_2107 GBV_ILN_2108 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2116 GBV_ILN_2118 GBV_ILN_2119 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2144 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2188 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2446 GBV_ILN_2470 GBV_ILN_2472 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_2548 GBV_ILN_2949 GBV_ILN_2950 GBV_ILN_4012 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4246 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4346 GBV_ILN_4393 GBV_ILN_4700 86.00 ASE AR 36 2019 4 10 09 753-778 |
| allfieldsSound |
10.1007/s10940-019-09430-z doi (DE-627)SPR042127327 (SPR)s10940-019-09430-z-e DE-627 ger DE-627 rakwb eng 340 ASE 86.00 bkl Dennison, Susan verfasserin aut Maternal Parenting Stress Following Paternal or Close Family Incarceration: Bayesian Model-Based Profiling Using the HILDA Longitudinal Survey 2019 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Objectives To: (1) examine the existence and extent of heterogeneity in effects of paternal incarceration (PI) or close family incarceration (CFI) on maternal parenting stress; (2) identify key variables related to the effect of PI and CFI on maternal parenting stress. Methods Using data from HILDA, an Australian longitudinal survey, we investigate changes in maternal parenting stress for mothers who experienced either PI or CFI. There were 15 demographic and stress-related explanatory variables. Using Bayesian profile regression, we examine the average changes in maternal parenting stress after incarceration compared to the mother’s average level of parenting stress in prior waves, simultaneously with model-based clustering to characterise the profiles of mothers having a different degree of change. Results Three profiles of mothers were identified: (1) A small decrease in parental stress levels (n = 112); (2) No measurable average change in parental stress levels (n = 46); (3) A small increase in parental stress levels (n = 117). Only for the second cluster did the 95% posterior credible intervals for the means include zero as a plausible value. The estimated means for clusters 1 (decrease) and 3 (increase) did not overlap and are clearly separated. Conclusions Neither PI nor CFI helped profile mothers. Thus, research should examine wider family incarceration effects on children and caregivers. Prior adversity, wellbeing and family demographics contributed to the cluster profiles. Parenting stress is heterogeneous and improved methods are needed to disentangle the effects of incarceration from other contextual, recent and cumulative adverse events in people’s lives. Paternal incarceration (dpeaa)DE-He213 Family incarceration (dpeaa)DE-He213 Parenting stress (dpeaa)DE-He213 Mothers (dpeaa)DE-He213 Profile regression (dpeaa)DE-He213 Bayesian model-based profiling (dpeaa)DE-He213 Besemer, Kirsten verfasserin aut Low-Choy, Samantha verfasserin aut Enthalten in Journal of quantitative criminology Getzville, NY : HeinOnline, 1985 36(2019), 4 vom: 10. Sept., Seite 753-778 (DE-627)320578003 (DE-600)2017241-2 1573-7799 nnns volume:36 year:2019 number:4 day:10 month:09 pages:753-778 https://dx.doi.org/10.1007/s10940-019-09430-z lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_101 GBV_ILN_105 GBV_ILN_110 GBV_ILN_120 GBV_ILN_138 GBV_ILN_150 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_171 GBV_ILN_184 GBV_ILN_187 GBV_ILN_206 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_250 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_374 GBV_ILN_602 GBV_ILN_636 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2018 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2031 GBV_ILN_2034 GBV_ILN_2037 GBV_ILN_2038 GBV_ILN_2039 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2057 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2070 GBV_ILN_2086 GBV_ILN_2088 GBV_ILN_2093 GBV_ILN_2106 GBV_ILN_2107 GBV_ILN_2108 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2116 GBV_ILN_2118 GBV_ILN_2119 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2144 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2188 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2446 GBV_ILN_2470 GBV_ILN_2472 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_2548 GBV_ILN_2949 GBV_ILN_2950 GBV_ILN_4012 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4246 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4346 GBV_ILN_4393 GBV_ILN_4700 86.00 ASE AR 36 2019 4 10 09 753-778 |
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Methods Using data from HILDA, an Australian longitudinal survey, we investigate changes in maternal parenting stress for mothers who experienced either PI or CFI. There were 15 demographic and stress-related explanatory variables. Using Bayesian profile regression, we examine the average changes in maternal parenting stress after incarceration compared to the mother’s average level of parenting stress in prior waves, simultaneously with model-based clustering to characterise the profiles of mothers having a different degree of change. Results Three profiles of mothers were identified: (1) A small decrease in parental stress levels (n = 112); (2) No measurable average change in parental stress levels (n = 46); (3) A small increase in parental stress levels (n = 117). Only for the second cluster did the 95% posterior credible intervals for the means include zero as a plausible value. The estimated means for clusters 1 (decrease) and 3 (increase) did not overlap and are clearly separated. Conclusions Neither PI nor CFI helped profile mothers. Thus, research should examine wider family incarceration effects on children and caregivers. Prior adversity, wellbeing and family demographics contributed to the cluster profiles. 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Dennison, Susan |
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Dennison, Susan ddc 340 bkl 86.00 misc Paternal incarceration misc Family incarceration misc Parenting stress misc Mothers misc Profile regression misc Bayesian model-based profiling Maternal Parenting Stress Following Paternal or Close Family Incarceration: Bayesian Model-Based Profiling Using the HILDA Longitudinal Survey |
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340 ASE 86.00 bkl Maternal Parenting Stress Following Paternal or Close Family Incarceration: Bayesian Model-Based Profiling Using the HILDA Longitudinal Survey Paternal incarceration (dpeaa)DE-He213 Family incarceration (dpeaa)DE-He213 Parenting stress (dpeaa)DE-He213 Mothers (dpeaa)DE-He213 Profile regression (dpeaa)DE-He213 Bayesian model-based profiling (dpeaa)DE-He213 |
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ddc 340 bkl 86.00 misc Paternal incarceration misc Family incarceration misc Parenting stress misc Mothers misc Profile regression misc Bayesian model-based profiling |
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Dennison, Susan Besemer, Kirsten Low-Choy, Samantha |
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Dennison, Susan |
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10.1007/s10940-019-09430-z |
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verfasserin |
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maternal parenting stress following paternal or close family incarceration: bayesian model-based profiling using the hilda longitudinal survey |
| title_auth |
Maternal Parenting Stress Following Paternal or Close Family Incarceration: Bayesian Model-Based Profiling Using the HILDA Longitudinal Survey |
| abstract |
Objectives To: (1) examine the existence and extent of heterogeneity in effects of paternal incarceration (PI) or close family incarceration (CFI) on maternal parenting stress; (2) identify key variables related to the effect of PI and CFI on maternal parenting stress. Methods Using data from HILDA, an Australian longitudinal survey, we investigate changes in maternal parenting stress for mothers who experienced either PI or CFI. There were 15 demographic and stress-related explanatory variables. Using Bayesian profile regression, we examine the average changes in maternal parenting stress after incarceration compared to the mother’s average level of parenting stress in prior waves, simultaneously with model-based clustering to characterise the profiles of mothers having a different degree of change. Results Three profiles of mothers were identified: (1) A small decrease in parental stress levels (n = 112); (2) No measurable average change in parental stress levels (n = 46); (3) A small increase in parental stress levels (n = 117). Only for the second cluster did the 95% posterior credible intervals for the means include zero as a plausible value. The estimated means for clusters 1 (decrease) and 3 (increase) did not overlap and are clearly separated. Conclusions Neither PI nor CFI helped profile mothers. Thus, research should examine wider family incarceration effects on children and caregivers. Prior adversity, wellbeing and family demographics contributed to the cluster profiles. Parenting stress is heterogeneous and improved methods are needed to disentangle the effects of incarceration from other contextual, recent and cumulative adverse events in people’s lives. |
| abstractGer |
Objectives To: (1) examine the existence and extent of heterogeneity in effects of paternal incarceration (PI) or close family incarceration (CFI) on maternal parenting stress; (2) identify key variables related to the effect of PI and CFI on maternal parenting stress. Methods Using data from HILDA, an Australian longitudinal survey, we investigate changes in maternal parenting stress for mothers who experienced either PI or CFI. There were 15 demographic and stress-related explanatory variables. Using Bayesian profile regression, we examine the average changes in maternal parenting stress after incarceration compared to the mother’s average level of parenting stress in prior waves, simultaneously with model-based clustering to characterise the profiles of mothers having a different degree of change. Results Three profiles of mothers were identified: (1) A small decrease in parental stress levels (n = 112); (2) No measurable average change in parental stress levels (n = 46); (3) A small increase in parental stress levels (n = 117). Only for the second cluster did the 95% posterior credible intervals for the means include zero as a plausible value. The estimated means for clusters 1 (decrease) and 3 (increase) did not overlap and are clearly separated. Conclusions Neither PI nor CFI helped profile mothers. Thus, research should examine wider family incarceration effects on children and caregivers. Prior adversity, wellbeing and family demographics contributed to the cluster profiles. Parenting stress is heterogeneous and improved methods are needed to disentangle the effects of incarceration from other contextual, recent and cumulative adverse events in people’s lives. |
| abstract_unstemmed |
Objectives To: (1) examine the existence and extent of heterogeneity in effects of paternal incarceration (PI) or close family incarceration (CFI) on maternal parenting stress; (2) identify key variables related to the effect of PI and CFI on maternal parenting stress. Methods Using data from HILDA, an Australian longitudinal survey, we investigate changes in maternal parenting stress for mothers who experienced either PI or CFI. There were 15 demographic and stress-related explanatory variables. Using Bayesian profile regression, we examine the average changes in maternal parenting stress after incarceration compared to the mother’s average level of parenting stress in prior waves, simultaneously with model-based clustering to characterise the profiles of mothers having a different degree of change. Results Three profiles of mothers were identified: (1) A small decrease in parental stress levels (n = 112); (2) No measurable average change in parental stress levels (n = 46); (3) A small increase in parental stress levels (n = 117). Only for the second cluster did the 95% posterior credible intervals for the means include zero as a plausible value. The estimated means for clusters 1 (decrease) and 3 (increase) did not overlap and are clearly separated. Conclusions Neither PI nor CFI helped profile mothers. Thus, research should examine wider family incarceration effects on children and caregivers. Prior adversity, wellbeing and family demographics contributed to the cluster profiles. Parenting stress is heterogeneous and improved methods are needed to disentangle the effects of incarceration from other contextual, recent and cumulative adverse events in people’s lives. |
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Maternal Parenting Stress Following Paternal or Close Family Incarceration: Bayesian Model-Based Profiling Using the HILDA Longitudinal Survey |
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Besemer, Kirsten Low-Choy, Samantha |
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| score |
7.3980246 |