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Erica Bowen

Other affiliations: University of Birmingham, Coventry University, Universities UK more
Bio: Erica Bowen is an academic researcher from University of Worcester. The author has contributed to research in topics: Domestic violence & Poison control. The author has an hindex of 24, co-authored 77 publications receiving 1860 citations. Previous affiliations of Erica Bowen include University of Birmingham & Coventry University.

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TL;DR: This article reviewed contemporary evidence from Europe and North America on prevalence, dynamic risk factors, and the efficacy of intervention programs for adolescent dating violence and found that victimization rates are comparable across Europe and America.

174 citations

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TL;DR: The rates of domestic violence reported during and after pregnancy and the importance of family adversity are examined to assess the importance for women to be exposed to family adversity.

167 citations

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TL;DR: It is suggested that ECT provides a new avenue for ADVA rather than representing a new, unique form of abuse, in addition to whether this creates new victims or perpetrators of such abuse.

157 citations

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TL;DR: The findings of associations between client characteristics and engagement variables were equivocal, although clients' capacities to address their problems tended to be positively associated with engagement.

120 citations

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TL;DR: The role ECT plays in adolescent romantic relationships and psychologically abusive and controlling ADVA behaviors and its perceived impact is explored and recommendations are made for future research.
Abstract: Electronic communication technology (ECT), such as mobile phones and online communication tools, is widely used by adolescents; however, the availability of such tools may have both positive and negative impacts within the context of romantic relationships. While an established literature has documented the nature, prevalence, and impact of traditional forms of adolescent dating violence and abuse (ADVA), limited empirical investigation has focused on the role of ECT in ADVA or what shall be termed technology-assisted adolescent dating violence and abuse (TAADVA) and how adolescents perceive the impact of TAADVA relative to ADVA. In this article, the authors explore the role ECT plays in adolescent romantic relationships and psychologically abusive and controlling ADVA behaviors and its perceived impact. An opportunity sample of 52 adolescents (22 males and 30 females) between the ages of 12 and 18 years participated in the study. One all-female and seven mixed-gendered semi-structured focus groups were conducted. Thematic analysis was used to identify three superordinate themes, including (a) perceived healthy versus unhealthy communication, (b) perceived monitoring and controlling communication, and (c) perceived impact of technology-assisted abuse compared with that in person. While ECTs had a positive impact on the development and maintenance of adolescent romantic relationships, such tools also provided a new avenue for unhealthy, harassment, monitoring, and controlling behaviors within these relationships. ECT was also perceived to provide unique impacts in terms of making TAADVA seem both less harmful and more harmful than ADVA experienced in person. Adolescents' perceptions and experiences of ECT in romantic relationships and TAADVA may also vary be gender. Implications of the findings are discussed, and recommendations are made for future research.

113 citations

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TL;DR: Mice adds new functionality for imputing multilevel data, automatic predictor selection, data handling, post-processing imputed values, specialized pooling routines, model selection tools, and diagnostic graphs.
Abstract: The R package mice imputes incomplete multivariate data by chained equations. The software mice 1.0 appeared in the year 2000 as an S-PLUS library, and in 2001 as an R package. mice 1.0 introduced predictor selection, passive imputation and automatic pooling. This article documents mice, which extends the functionality of mice 1.0 in several ways. In mice, the analysis of imputed data is made completely general, whereas the range of models under which pooling works is substantially extended. mice adds new functionality for imputing multilevel data, automatic predictor selection, data handling, post-processing imputed values, specialized pooling routines, model selection tools, and diagnostic graphs. Imputation of categorical data is improved in order to bypass problems caused by perfect prediction. Special attention is paid to transformations, sum scores, indices and interactions using passive imputation, and to the proper setup of the predictor matrix. mice can be downloaded from the Comprehensive R Archive Network. This article provides a hands-on, stepwise approach to solve applied incomplete data problems.

10,234 citations

20 Jan 2017
TL;DR: The Grounded Theory: A Practical Guide through Qualitative Analysis as mentioned in this paper, a practical guide through qualitative analysis through quantitative analysis, is a good starting point for such a study.
Abstract: การวจยเชงคณภาพ เปนเครองมอสำคญอยางหนงสำหรบทำความเขาใจสงคมและพฤตกรรมมนษย การวจยแบบการสรางทฤษฎจากขอมล กเปนหนงในหลายระเบยบวธการวจยเชงคณภาพทกำลงไดรบความสนใจ และเปนทนยมเพมสงขนเรอยๆ จากนกวชาการ และนกวจยในสาขาสงคมศาสตร และศาสตรอนๆ เชน พฤตกรรมศาสตร สงคมวทยา สาธารณสขศาสตร พยาบาลศาสตร จตวทยาสงคม ศกษาศาสตร รฐศาสตร และสารสนเทศศกษา ดงนน หนงสอเรอง “ConstructingGrounded Theory: A Practical Guide through Qualitative Analysis” หรอ “การสรางทฤษฎจากขอมล:แนวทางการปฏบตผานการวเคราะหเชงคณภาพ” จะชวยใหผอานมความรความเขาใจถงพฒนาการของปฏบตการวจยแบบสรางทฤษฎจากขอมล ตลอดจนแนวทาง และกระบวนการปฏบตการวจยอยางเปนระบบ จงเปนหนงสอทควรคาแกการอานโดยเฉพาะนกวจยรนใหม เพอเปนแนวทางในการนำความรความเขาใจไประยกตในงานวจยของตน อกทงนกวจยผเชยวชาญสามารถอานเพอขยายมโนทศนดานวจยใหกวางขวางขน

4,417 citations

01 Jan 2002
TL;DR: This chapter discusses the construction of Inquiry, the science of inquiry, and the role of data in the design of research.
Abstract: Part I: AN INTRODUCTION TO INQUIRY. 1. Human Inquiry and Science. 2. Paradigms, Theory, and Research. 3. The Ethics and Politics of Social Research. Part II: THE STRUCTURING OF INQUIRY: QUANTITATIVE AND QUALITATIVE. 4. Research Design. 5. Conceptualization, Operationalization, and Measurement. 6. Indexes, Scales, and Typologies. 7. The Logic of Sampling. Part III: MODES OF OBSERVATION: QUANTITATIVE AND QUALITATIVE. 8. Experiments. 9. Survey Research. 10. Qualitative Field Research. 11. Unobtrusive Research. 12. Evaluation Research. Part IV: ANALYSIS OF DATA:QUANTITATIVE AND QUALITATIVE . 13. Qualitative Data Analysis. 14. Quantitative Data Analysis. 15. Reading and Writing Social Research. Appendix A. Using the Library. Appendix B. Random Numbers. Appendix C. Distribution of Chi Square. Appendix D. Normal Curve Areas. Appendix E. Estimated Sampling Error.

2,884 citations

01 Jan 1901

2,681 citations