Abstract
The questions investigated in this book seek to understand both the individual- and macro-level factors involved in the health inequities of IPV survivors. At the individual level, three different national data sets on the topic of violence against women and health are quantitatively analyzed to examine the mechanisms of differential exposure to IPV and differential vulnerability to poor health among IPV survivors. At the macro level, the results from the quantitative analyses are qualitatively compared across the policy contexts of the US, Germany, and Norway using detailed case descriptions. With this in mind, the present chapter begins with a presentation of the three sets of national survey data, as well as a description of the sample selection, and the operationalization of the variables of interest. Finally, an account is given of the univariate, bivariate, and multivariate statistical analyses applied to answer Research Questions 1 and 2, as well as a description of the cross-national comparison to answer Research Questions 3 and 4.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Notes
- 1.
Although, to be clear, international surveys on violence against women have been conducted. The WHO Multi-country Study on Women’s Health and Domestic Violence Against Women covered: Bangladesh, Brazil, Ethiopia, Japan, Peru, Namibia, Samoa, Serbia and Montenegro, Thailand, and the United Republic of Tanzania (WHO 2005). The International Violence Against Women Survey covered: Australia, Costa Rica, the Czech Republic, Denmark, Greece, Hong Kong, Italy, Mozambique, the Philippines, Poland and Switzerland (Johnson et al. 2008). Additionally, the Demographic and Health Surveys also include items regarding violence and health, but do not systematically cover countries with functioning welfare states. Most promising is the data from a cross-national survey conducted by the EU Agency for Fundamental Rights (European Union Agency for Fundamental Rights [FRA] 2014) among 42,000 women in all 28 member states of the EU, which was made available for public use only in the second half of 2015.
- 2.
The National Intimate Partner and Sexual Violence Survey is a more recent national survey conducted in 2010 by the CDC, NIJ, and Department of Defense (Black et al. 2011). However, the data were not publically available when analysis for this book began.
- 3.
The original collector of the data (i.e., ICPSR) and the sponsoring agencies (i.e., NIJ, National Center for Injury Prevention and Control, and the CDC) bear no responsibility for uses of this collection or for interpretations or inferences based upon such uses.
- 4.
These data were made available by the Data Archive for Social Sciences at GESIS in Cologne. Neither the authors of the study, IFF, infas, nor GESIS bear any responsibility for the analysis or interpretation of the data presented here.
- 5.
These data were prepared and made available by the Norwegian Social Science Data Services (NSD). Neither the authors of the study, Statistics Norway, nor NSD are responsible for the analyses or interpretation of the data presented here.
- 6.
However, there were no requests to receive the survey in Nynorsk.
- 7.
Although the age range sampled in Norway was 20–55, some respondents turned 56 during the period of data collection (Flåte 2004).
- 8.
All three data sets also allowed for the narrowing of IPV exposure to within the past year. However, it would have resulted in sample sizes too small for the appropriate statistical analyses. For this reason, the time frame of the past 5 years was chosen.
- 9.
For clarity’s sake, the reader should be aware that those women with IPV experiences more than 5 years ago were not included in the analysis.
- 10.
While psychological or emotional abuse (e.g., possessive behavior, humiliation, limiting contact with friends or family) is increasingly included in definitions of IPV, and it has been shown to have a negative effect on the health of IPV survivors (Nicolaidis and Paranjape 2009), key conceptual, definitional, and methodological problems remain in its measurement (Follingstad 2009; Follingstad et al. 2015; Maiuro 2001). This is unfortunately also the case for the data analyzed in this book. Along with differences in the items assessing psychological abuse across the three data sets, the German data only measured psychological violence for current partners, thus excluding all of the women not in partnerships at the time of the survey. For these reasons, psychological abuse was excluded from the definition of IPV exposure in the analysis.
- 11.
Which was equal to approximately €1376 in 2003 (European Central Bank 2014).
- 12.
The necessity of accounting for different levels of IPV exposure in the imputation models (due to its role as a moderator) created difficulties with imputing missing values for IPV-related variables. Thus, missing values for IPV-related variables were not imputed.
- 13.
The over-dispersion, however, was not caused by an excess of zeros in the count of mental health complaints. If it would have been, then a zero-inflated model would have been more appropriate.
- 14.
Based on the results of the bivariate analyses (see Chap. 6), it was determined to eliminate personal income from the regression models and retain household income. Therefore, it is not included in the following explanations.
- 15.
Ideally, when examining multiple moderating effects, all interactions should be added to the model at the same time and an omnibus F test should be used test the overall variance explained (Cohen et al. 2003; Frazier et al. 2004). This step was conducted for all regression models predicting health outcomes in all three data sets, but the omnibus tests were not significant. Therefore, it was decided to also test the interaction terms in separate models.
References
Agresti, A. (1984). Analysis of ordinal categorical data. New York, NY: Wiley.
Ahnquist, J., Wamala, S. P., & Lindstrom, M. (2012). Social determinants of health—A question of social or economic capital? Interaction effects of socioeconomic factors on health outcomes. Social Science and Medicine, 74(6), 930–939. doi:10.1016/j.socscimed.2011.11.026
Au, N., & Johnston, D. W. (2014). Self-assessed health: What does it mean and what does it hide? Social Science and Medicine, 121C, 21–28. doi:10.1016/j.socscimed.2014.10.007
Bachman, R., & Saltzman, L. E. (1995). Violence against women: Estimates from the redesigned survey. Washington, DC: U.S. Department of Justice.
Band-Winterstein, T., & Eisikovits, Z. (2009). “Aging out” of violence: The multiple faces of intimate violence over the life span. Qualitative Health Research, 19(2), 164–180. doi:10.1177/1049732308329305
Baron, R. M., & Kenny, D. A. (1986). The moderator-mediator variable distinction in social psychological research: Conceptual, strategic, and statistical considerations. Journal of Personality and Social Psychology, 51(6), 1173–1182.
Bent-Goodley, T. B. (2007). Health disparities and violence against women: Why and how cultural and societal influences matter. Trauma, Violence, and Abuse, 8(2), 90–104. doi:10.1177/1524838007301160
Bhat, C. (1994). Imputing a continuous income variable from grouped and missing income observations. Economics Letters, 46(4), 311–319. doi:10.1016/0165-1765(94)90151-1
Bishara, A. J., & Hittner, J. B. (2012). Testing the significance of a correlation with nonnormal data: Comparison of Pearson, Spearman, transformation, and resampling approaches. Psychological Methods, 17(3), 399–417. doi:10.1037/a0028087
Black, M. C., Basile, K. C., Breiding, M. J., Smith, S. G., Walters, M. L., Merrick, M. T., et al. (2011). The National Intimate Partner and Sexual Violence Survey (NISVS): 2010 summary report. Atlanta, GA: CDC.
Bortz, J., & Döring, N. (2006). Hypothesenprüfende Untersuchungen [Hypotheses proving tests]. In Forschungsmethoden und Evaluation: für Human- und Sozialwissenschaftler (pp. 489–598). Berlin, Heidelberg: Springer. doi:10.1007/978-3-540-33306-7
Brzank, P. (2012). Wege aus der Partnergewalt. Frauen auf der Suche nach Hilfe [Escaping partner violence: Women seeking help]. Wiesbaden: Springer VS.
Casey, E. A., & Nurius, P. S. (2005). Trauma exposure and sexual revictimization risk: Comparisons across single, multiple incident, and multiple perpetrator victimizations. Violence Against Women, 11(4), 505–530. doi:10.1177/1077801204274339
Chok, N. S. (2010). Pearson’s versus Spearman’s and Kendall’s correlation coefficients for continuous data. http://d-scholarship.pitt.edu/8056/1/Chokns_etd2010.pdf. Accessed July 24, 2013.
Cohen, J. (1988). The analysis of variance. In Statistical power for the social sciences (2nd ed., pp. 273–406). Hillsdale, NJ: Lawrence Elbaum Associates.
Cohen, J. (1992). A power primer. Psychological Bulletin, 112(1), 155–159.
Cohen, J., Cohen, P., West, S. G., & Aiken, L. S. (2003). Applied multiple regression/correlation analysis for the behavioral sciences (3rd ed.). Mahwah, NJ: Erlbaum.
D’Agostino, R. B., Belanger, A., & D’Agostino, R. B, Jr. (1990). A suggestion for using powerful and informative tests of normality. American Statistician, 44(4), 316–321.
De Bruin, A., Picavet, H. S. J., & Nossikov, A. (1996). Health interview surveys: Towards international harmonization of methods and instruments. Copenhagen: World Health Organization.
DeMaris, A., Benson, M. L., Fox, G. L., Hill, T., & Van Wyk, J. (2003). Distal and proximal factors in domestic violence: A test of an integrated model. Journal of Marriage and Family, 65(3), 652–667. doi:10.1111/j.1741-3737.2003.00652.x
Derogatis, L. R., Lipman, R. S., Rickels, K., Uhlenhuth, E. H., & Covi, L. (1974). The Hopkins Symptom Checklist (HSCL): A self-report symptom inventory. Behavioral Science, 19, 1–15.
Dillon, G., Hussain, R., Loxton, D., & Rahman, S. (2013). Mental and physical health and intimate partner violence against women: A review of the literature. International Journal of Family Medicine, 1–15. doi:10.1155/2013/313909
European Central Bank. (2014). Euro foreign exchange reference rates. https://www.ecb.europa.eu/stats/exchange/eurofxref/html/eurofxref-graph-nok.en.html. Accessed July 19, 2014.
European Union Agency for Fundamental Rights [FRA]. (2014). Violence against women: An EU-wide survey. Luxembourg. http://fra.europa.eu/sites/default/files/fra-2014-vaw-survey-main-results_en.pdf. Accessed November 01, 2014.
Flåte, S. (2004). Undersøkelse om trygghet i hverdagen: dokumentasjonsrapport [Survey of Everyday Safety: Documentation report]. Oslo, Norway: Statistics Norway.
Follingstad, D. R. (2009). The impact of psychological aggression on women’s mental health and behavior: The status of the field. Trauma, Violence, and Abuse, 10(3), 271–289. doi:10.1177/1524838009334453
Follingstad, D. R., Coker, A. L., Lee, E., Williams, C. M., Bush, H. M., & Mendiondo, M. M. (2015). Validity and psychometric properties of the measure of psychologically abusive behaviors among young women and women in distressed relationships. Violence Against Women, 21(7), 875–896. doi:10.1177/1077801215584070
Frazier, P. A., Tix, A. P., & Barron, K. E. (2004). Testing moderator and mediator effects in counseling psychology research. Journal of Counseling Psychology, 51(1), 115–134. doi:10.1037/0022-0167.51.1.115
Fredebeul, C., Gilberg, R., Hess, D., Kästner, G., Marwinski, K., & Prussog-Wagner, A. (2004). Methodenbericht “Lebenssituation, Sicherheit und Gesundheit von Frauen in Deutschland” [Methods report “Health, Well-being and Personal Safety of Women in Germany”]. Bonn: infas - Institut für angewandte Sozialwissenschaft GmbH.
Haaland, T., Clausen, S., & Schei, B. (2005). Vold i parforhold - ulike perspektiver: resultater fra den første landsdekkende undersøkelsen i Norge [Violence in relationships - different perspectives: Results of the first nationwide survey in Norway]. Norway: Oslo.
Hamby, S. (2014). Intimate partner and sexual violence research: Scientific progress, scientific challenges, and gender. Trauma, Violence, and Abuse, 15(3), 149–158. doi:10.1177/1524838014520723
Hamby, S. (2015). A scientific answer to a scientific question: The gender debate on intimate partner violence. Trauma, Violence, Abuse, online first. doi:10.1177/1524838015596963
Heise, L., & García-Moreno, C. (2012). Violence by intimate partners. In E. G. Krug, L. L. Dahlberg, J. A. Mercy, A. B. Zwi, & R. Lozano (Eds.), World report on violence and health (pp. 87–121). Geneva: World Health Organization.
Howell, D. (2007). Correlation and regression. In Statistical methods for psychology (7th ed., pp. 245–292). Belmont, CA: Cengage Wadsworth.
Idler, E. L., & Benyamini, Y. (1997). Self-rated health and mortality: A review of twenty-seven community studies. Journal of Health and Social Behavior, 38, 21–37.
Jaccard, J. (2001). Interaction effects in logistic regressions. Thousand Oaks, CA: Sage Publications.
Johnson, H., Ollus, N., & Nevala, S. (2008). Violence against women: An international perspective. New York, NY: Springer.
Jylhä, M. (2009). What is self-rated health and why does it predict mortality? Towards a unified conceptual model. Social Science and Medicine, 69(3), 307–316. doi:10.1016/j.socscimed.2009.05.013
Kaukinen, C. (2004). Status compatibility, physical violence, and emotional abuse in intimate relationships. Journal of Marriage and Family, 66(2), 452–471. doi:10.1111/j.1741-3737.2004.00031.x
Kohler, U., & Kreuter, F. (2009). Data analysis using Stata (2nd ed.). College Station, Texas: Stata Press.
Krantz, G., & Garcia-Moreno, C. (2005). Violence against women. Journal of Epidemiology and Community Health, 59, 818–821. doi:10.1136/jech.2004.022756
Kruskal, W. H., & Wallis, W. A. (1952). Use of ranks in one-criterion variance analysis. Journal of the American Statistical Association, 47(260), 583–621.
Landerman, L. R., Land, K. C., & Pieper, C. F. (1997). An empirical evaluation of the predictive mean matching method for imputing missing values. Sociological Methods and Research, 26(1), 3–33. doi:10.1177/0049124197026001001
Long, J. S., & Freese, J. (2000). sg145: Scalar measures of fit for regression models. Stata Technical Bulletin, 56, 34–40.
Long, J. S., & Freese, J. (2006). Regression models for categorical dependent variables using Stata (2nd ed.). College Station, Texas: Stata Press.
Loya, R. M. (2014). The role of sexual violence in creating and maintaining economic insecurity among asset-poor women of color. Violence Against Women, 20(11), 1299–1320. doi:10.1177/1077801214552912
Maiuro, R. D. (2001). Sticks and stones may break my bones, but names will also hurt me: Psychological abuse in domestically violent relationships. In K. D. O’Leary & R. D. Maiuro (Eds.), Psychological abuse in violent domestic relations (pp. ix–xx). New York, NY: Springer.
Manor, O., Matthews, S., & Power, C. (2000). Dichotomous or categorical response? Analysing self-rated health and lifetime social class. International Journal of Epidemiology, 29, 149–157. doi:10.1093/ije/29.1.149
Moxnes, K. (1991). Kjernesprengning i familien? Familieforandring ved samlivsbrudd og dannelse av nye samliv [Destroying the core of the family? Family change during breakups and the formation of new relationships]. Oslo, Norway: Universitetsforlaget.
Müller, U., & Schröttle, M. (2004). Lebenssituation, Sicherheit und Gesundheit von Frauen in Deutschland: Eine repräsentative Untersuchung zu Gewalt gegen Frauen in Deutschland [Health, well-being and personal safety of women in Germany: A representative study of violence against women in Germany]. Berlin: Bundesministerium für Familie, Senioren, Frauen und Jugend.
Müller, U., & Schröttle, M. (2005). Lebenssituation, Sicherheit und Gesundheit von Frauen in Deutschland (Gewalt gegen Frauen - Zusatzbefragung) [Health, Well-being and Personal Safety of Women in Germany (Violence Against Women—Supplemental Survey)] (Version 1.0.0) [Data set]. Cologne: GESIS Datenarchiv. doi:10.4232/1.4194
Nash, M., & McDermott, J. (2011). Mental health and long-term conditions 2: Managing depression. Nursing Times, 107, 21–23.
Nicolaidis, C., & Paranjape, A. (2009). Defining intimate partner violence: Controversies and implications. In C. Mitchell & D. Anglin (Eds.), Intimate partner violence: A health-based perspective (pp. 19–30). New York, NY: Oxford University Press.
OECD. (n.d.). What are equivalence scales? Project on income distribution and poverty. http://www.oecd.org/els/soc/OECD-Note-EquivalenceScales.pdf. Accessed December 05, 2011.
Park, H. M. (2008). Univariate analysis and normality tests using SAS, Stata, and SPSS. http://www.indiana.edu/~statmath/stat/all/normality/index.html. Accessed May 21, 2013.
Power, C., Manor, O., & Fox, A. J. (1991). Health and class: The early years. London: Chapman and Hall.
Raftery, A. E. (1995). Bayesian model selection in social research. Sociological Methodology, 25, 111–163.
Rasch, B., Hofmann, W., Friese, M., & Naumann, E. (2010). Merkmalszusammenhänge [Correlations]. In Quantitative Methoden: Einführung in die Statistik für Psychologen und Sozialwissenschaftler (pp. 119–171). Berlin, Heidelberg: Springer. doi:10.1007/978-3-642-05272-9
Schröttle, M., Martinez, M., Condon, S., Jaspard, M., Piispa, M., Westerstrand, J., et al. (2006). Comparative reanalysis of prevalence of violence against women and health impact data in Europe—Obstacles and possible solutions. Testing a comparative approach on selected studies. http://www.cahrv.uni-osnabrueck.de/reddot/D_20_Comparative_reanalysis_of_prevalence_of_violence_pub.pdf. Accessed November 11, 2010.
Scott-Storey, K. (2011). Cumulative abuse: Do things add up? An evaluation of the conceptualization, operationalization, and methodological approaches in the study of the phenomenon of cumulative abuse. Trauma, Violence, and Abuse, 12(3), 135–150. doi:10.1177/1524838011404253
Shapiro, S. S., & Francia, R. S. (1972). An approximate analysis of variance test for normality. Journal of the American Statistical Association, 67(337), 215–216.
Shapiro, S. S., & Wilk, M. B. (1965). An analysis of variance test for normality (complete samples). Biometrika, 52(3/4), 591–611.
SOEP Group. (2012). SOEP 2011—Documentation of person-related status and generated variables in PGEN for SOEP v28 (No. 111). Berlin. http://panel.gsoep.de/soep-docs/surveypapers/diw_ssp0111.pdf. Accessed February 15, 2012.
Sokoloff, N. J., & Dupont, I. (2005). Domestic violence at the intersections of race, class, and gender: Challenges and contributions to understanding violence against marginalized women in diverse communities. Violence Against Women, 11(1), 38–64. doi:10.1177/1077801204271476
SSB. (2003). Survey of everyday safety, 2003 (second NSD edition) [Data set]. http://www.nsd.uib.no/. Accessed February 02, 2012.
SSCC. (2012a). Multiple imputation in Stata: Creating imputation models. http://www.ssc.wisc.edu/sscc/pubs/stata_mi_models.htm. Accessed May 12, 2012.
SSCC. (2012b). Multiple imputation in Stata: Imputing. http://www.ssc.wisc.edu/sscc/pubs/stata_mi_impute.htm. Accessed May 12, 2012.
StataCorp. (2011). Stata statistical software: Release 12. College Station, Texas: StataCorp LP.
Straus, M. A. (1979). Measuring intrafamily conflict and violence: The conflict tactics (CT) scales. Journal of Marriage and Family, 41, 75–88.
Straus, M. A. (2001). Scoring the CTS2 and CTSPC. Durham, NH: University of New Hampshire, Family Research Laboratory.
Straus, M. A., Hamby, S. L., Boney-McCoy, S., & Sugarman, D. B. (1996). The Revised Conflict Tactics Scales (CTS2): Development and preliminary psychometric data. Journal of Family Issues, 17, 283–316. doi:10.1177/019251396017003001
Szumilas, M. (2010). Explaining odds ratios. Journal of the Canadian Academy of Child and Adolescent Psychiatry, 19(3), 227–229.
Tjaden, P., & Thoennes, N. (1999). Violence and threats of violence against women and men in the United States, 1994–1996 (First ICPSR version) [Data set]. doi:10.3886/ICPSR02566.v1
Tjaden, P., & Thoennes, N. (2000). Extent, nature, and consequences of intimate partner violence: Findings from the National Violence Against Women Survey. Washington, DC: U.S. Department of Justice.
Tolman, R. M., & Rosen, D. (2001). Domestic violence in the lives of women receiving welfare: Mental health, substance dependence, and economic well-being. Violence Against Women, 7(2), 141–158. doi:10.1177/1077801201007002003
UCLA: Statistical Consulting Group. (2014a). Ordered logistic regression. http://www.ats.ucla.edu/stat/stata/dae/ologit.htm. Accessed May 06, 2014.
UCLA: Statistical Consulting Group. (2014b). Multinomial logistic regression. http://www.ats.ucla.edu/stat/stata/dae/mlogit.htm. Accessed May 06, 2014.
UCLA: Statistical Consulting Group. (2014c). Negative binomial regression. http://www.ats.ucla.edu/stat/stata/dae/nbreg.htm. Accessed May 06, 2014.
UCLA: Statistical Consulting Group. (2014d). What are pseudo R-squareds? http://www.ats.ucla.edu/stat/mult_pkg/faq/general/Psuedo_RSquareds.htm. Accessed May 06, 2014.
Van Doorslaer, E., & Gerdtham, U. G. (2003). Does inequality in self-assessed health predict inequality in survival by income? Evidence from Swedish data. Social Science and Medicine, 57, 1621–1629. doi:10.1016/S0277-9536(02)00559-2
Ware, J. E., Snow, K. K., Kosinski, M., & Gandek, B. (1993). SF-36® Health Survey manual and interpretation guide. Boston: New England Medical Center, The Health Institute.
White, I. R., Royston, P., & Wood, A. M. (2011). Multiple imputation using chained equations: Issues and guidance for practice. Statistics in Medicine, 30(4), 377–399. doi:10.1002/sim.4067
WHO. (2001). Putting women’s safety first: Ethical and safety recommendations for research on domestic violence against women. Geneva: World Health Organization.
WHO. (2005). WHO multi-country study on women’s health and domestic violence against women: Initial results on prevalence, health outcomes and women’s responses. Geneva: World Health Organization.
Williams, R. (2006). Generalized ordered logit/partial proportional odds models for ordinal dependent variables. The Stata Journal, 6(1), 58–82.
Winstok, Z. (2015). Critical review of Hamby’s (2014) article titled “Intimate partner and sexual violence research, scientific progress, scientific challenges, and gender”. Trauma, Violence, and Abuse, online first. doi:10.1177/1524838015596962
Zheng, H., & Thomas, P. A. (2013). Marital status, self-rated health, and mortality: Overestimation of health or diminishing protection of marriage? Journal of Health and Social Behavior, 54(1), 128–143. doi:10.1177/0022146512470564
Author information
Authors and Affiliations
Corresponding author
Rights and permissions
Copyright information
© 2016 Springer International Publishing Switzerland
About this chapter
Cite this chapter
Larsen, M. (2016). Research Design and Methods. In: Health Inequities Related to Intimate Partner Violence Against Women. Social Disparities in Health and Health Care. Springer, Cham. https://doi.org/10.1007/978-3-319-29565-7_5
Download citation
DOI: https://doi.org/10.1007/978-3-319-29565-7_5
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-29563-3
Online ISBN: 978-3-319-29565-7
eBook Packages: Social SciencesSocial Sciences (R0)