COUPLE OUTCOMES IN STEPFAMILIES



Similar documents
The Influence of Human Resource Management Practices on the Retention of Core Employees of Australian Organisations: An Empirical Study

The Processes and Effectiveness of Online Counselling and Therapy for Young People. Mitchell J. Dowling. University of Canberra.

CUSTOMER ONLINE PURCHASE INTENTION TOWARDS AIRLINE E-TICKETING IN KLANG VALLEY CHEW YUH YIING CHONG CHOOI SUN MICHELLE SIM KAI FERN YONG SOOK HUOI

Schneps, Leila; Colmez, Coralie. Math on Trial : How Numbers Get Used and Abused in the Courtroom. New York, NY, USA: Basic Books, p i.

CUSTOMER RELATIONSHIP MANAGEMENT SYSTEMS IN THE SRI LANKAN HOSPITALITY INDUSTRY FOR SUSTAINED GROWTH AND DEVELOPMENT

Factors Influencing the Adoption of Biometric Authentication in Mobile Government Security

MASTERS RESEARCH DISSERTATION

MANUAL FOR THE PREPARATION OF THESES AND DISSERTATIONS ADDRAN COLLEGE OF LIBERAL ARTS. Texas Christian University Fort Worth, Texas

A Study On Employee Retention Practices And Its Effectiveness In IT Sector

TIME-MANAGEMENT PRACTICES OF SCHOOL PRINCIPALS IN THE UNITED STATES. Peggie Johnson Robertson. Dissertation submitted to the Faculty of the

Electronic Thesis and Dissertations UCLA

Experiential Education as a Best Practice Pedagogy for Environmental Education in Teacher Education. Volume 1

Kim-Song Le (B.Ec, M.Ec, MBA, GDip.Sc)

EXTERNAL CRITICAL SUCCESS FACTORS FOR THE GROWTH OF STARTUP SOFTWARE DEVELOPMENT COMPANIES IN SRI LANKA

Ph.D. DEGREE IN ORGANIZATIONAL LEADERSHIP

Self-Determination Theory and the Theory of Planned Behaviour Applied to Substance Abuse Treatment in a Therapeutic Community Setting

CAREGIVERS OF CHILDREN INFECTED AND/OR AFFECTED BY HIV/AIDS SCOTT DOUGLAS RYAN. Submitted in partial fulfillment of the requirements

1/27/2013. PSY 512: Advanced Statistics for Psychological and Behavioral Research 2

Effect of Business Value Chain Practices on the Supply Chain Performance of Large Manufacturing Firms in Kenya

CUSTOMER RELATIONSHIP MANAGEMENT AND ITS INFLUENCE ON CUSTOMER LOYALTY AT LIBERTY LIFE IN SOUTH AFRICA. Leon du Plessis MINOR DISSERTATION

Understanding Chinese Educational Leaders Conceptions of Learning and Leadership in an International Education Context

THE USE OF DIGITAL VIDEO CONFERENCING TO SUPPORT THE TEACHING AND LEARNING OF DEAF LEARNERS VASIDEVAN SUBRAYA NAIKER RESEARCH ESSAY

The PhD programme in Economics and Business at NBMU School of Economics and Business. The programme consists of the following programme options:

3. Dr. Carl Maresh, chair of the department of Human Sciences, is supportive of the specialization.

Department of Geography

STUDENTS ATTITUDES TOWARDS BUSINESS ETHICS: A COMPARISON BETWEEN INDONESIA AND LESOTHO.

RMTD 404 Introduction to Linear Models

Master of Education School Counseling Degree Program

SUCCESSION PLANNING AND MANAGEMENT PRACTICES AMONG PRIVATE SECTOR FIRMS IN MALAYSIA KRISHNA NAIDU S/O D. SUPPIAH

An Exploratory Investigation of the Sales Forecasting Process in the Casual Theme and Family Dining Segments of Commercial Restaurant Corporations

Corporate Reputation Management. and Stakeholder Engagement: A Case Study of Five Top. Australian Companies

Business Administration specializing in Marketing

Auxiliary Variables in Mixture Modeling: 3-Step Approaches Using Mplus

INTERNATIONAL UNIVERSITY FOR GRADUATE STUDIES Faculty of Organisational and Political Psychology Doctoral and Master s Programmes

When to Use a Particular Statistical Test

What motivates contact centre employees? Publication Article May 2011

INVESTIGATING THE EFFECTIVENESS OF POSITIVE PSYCHOLOGY TRAINING ON INCREASED HARDINESS AND PSYCHOLOGICAL WELL-BEING

Code of Good Practice for PhD candidates and Supervisors of TU Delft Graduate School

Effectiveness of positive psychology training in the increase of hardiness of female headed households

Three-Year Follow-Up of Same-Sex Couples Who Had Civil Unions in Vermont, Same-Sex Couples Not in Civil Unions, and Heterosexual Married Couples

Education and Wage Differential by Race: Convergence or Divergence? *

FACTORS THAT INFLUENCE JOB TURNOVER OF SOCIAL WORKERS IN THE DIRECTORATE OF DEVELOPMENTAL SOCIAL WELFARE SERVICES (DDSWS) IN NAMIBIA

Materials Science and Engineering, National Dong Hwa University Degree requirements for the PhD program Approved on March 18, 2014

Introduction to Longitudinal Data Analysis

Knowledge Management Strategic Alignment in the Banking Sector at the Gulf Cooperation Council (GCC) Countries

High School Psychology and its Impact on University Psychology Performance: Some Early Data

The Influence of a Summer Bridge Program on College Adjustment and Success: The Importance of Early Intervention and Creating a Sense of Community

University of KwaZulu-Natal. Recommended examination policies and procedures for PhD degrees

Academic Program: Doctoral Program in Clinical Psychology. Graduate or Undergraduate: Graduate Date: October 10, 2003

IT-ENABLED SUPPLY CHAIN MANAGEMENT: STUDIES IN SELECT INDIAN INDUSTRIES

Latent Growth Curve Analysis: A Gentle Introduction. Alan C. Acock* Department of Human Development and Family Sciences. Oregon State University

PRACTICUM HANDBOOK Community and College Student Development. The College of Education & Human Development UNIVERSITY OF MINNESOTA

University of Macau. Faculty of Social Sciences and Humanities. Department of Communication. Exploring Emotional Branding and Online Brand

How to Doing Business Like a Professional Manager

DOCTOR OF PHILOSOPHY IN PSYCHOLOGY. By M.A. SYED FATHIMA

Enhancing internal control and risk management in the Accounting Information System-Thai SMEs

Counselor Performance Evaluation System Counselor Self Appraisal

Industrial/Organizational Psychology Master s Program Course List

Multivariate Analysis of Variance. The general purpose of multivariate analysis of variance (MANOVA) is to determine

Equity Investors Risk Tolerance Level During the Volatility of Indian Stock Market

SpringerBriefs in Criminology

Council of Graduate Schools. Completion and Attrition in STEM Master s Programs. Factors Affecting Degree Completion Survey

Biostatistics Short Course Introduction to Longitudinal Studies

Institute of Actuaries of India Subject CT3 Probability and Mathematical Statistics

Predicting Successful Completion of the Nursing Program: An Analysis of Prerequisites and Demographic Variables

By-laws of the Marriage and Family Therapy Program Student Advisory Council

TALENT MANAGEMENT PRACTICES AND ITS IMPACT ON ORGANIZATIONAL PRODUCTIVITY: A STUDY WITH REFERENCE TO IT SECTOR IN BENGALURU

Engineering Masters Program Requirements

School Psychology Program Department of Educational Psychology Description of Internship in School Psychology

SCHOOL COUNSELING MARRIAGE AND FAMILY THERAPY PROFESSIONAL COUNSELING STUDENT DEVELOPMENT IN HIGHER EDUCATION

A REVIEW OF EMPLOYEE PERFORMANCE EVALUATION OF SELECTED STATE SECTOR ORGANIZATIONS

NHS Staff Management and Health Service Quality Results from the NHS Staff Survey and Related Data

GUIDELINES FOR WRITING THE REPORT OF INTERNSHIP ACTIVITIES

Multiple Choice: 2 points each

Electrical and Electronic Engineering Assessment Report Fall 2007 Spring 2008

Copyright is owned by the Author of the thesis. Permission is given for a copy to be downloaded by an individual for the purpose of research and

Curriculum - Doctor of Philosophy

Essays in Financial Mathematics

Exploring How Human Resource Management Initiatives Can Build Organisational Knowledge:

Perceived Workplace Discrimination as a Mediator of the Relationship between Work Environment and Employee Outcomes: Does Minority Status Matter?

Chapter Seven. Multiple regression An introduction to multiple regression Performing a multiple regression on SPSS

School of Applied Psychology, UCC Masters Degree in Applied Psychology. What our graduates say about the MAAP programme

Guidelines for Confirmation of Candidature for Doctoral and Masters By Research Degrees

How To Be A Baccalaureate Prepared Nurse

Transcription:

COUPLE OUTCOMES IN STEPFAMILIES Vanessa Leigh Bruce B. Arts, B. Psy (Hons) This thesis is submitted in partial fulfilment of the requirements for the degree of Doctor of Philosophy in Clinical Psychology, School of Psychology, Faculty of Health, Griffith University, Brisbane. December, 2010.

Declaration I hereby declare that this thesis is my own original work, and that to the best of my knowledge, it contains no material previously published or written by another person without due reference in the text. I also declare that no work presented in this text has been presented for the award of another degree or diploma at a university or other institute of higher learning. Data collection was conducted by myself. My original input is as follows: 1. I conducted the literature review; designed the research hypotheses; and collated the assessment materials. 2. I actively participated in the collection, scoring and computer entry of the data for the final wave of data collection of both studies reported. 3. I conducted all data analyses and have produced all the written output. Data collection was conducted with the approval of the Griffith University Ethics Committee. The original data is archived and available for inspection. Vanessa Bruce December, 2010 ii

Acknowledgements I wish to acknowledge the support, expertise and generosity of time provided by my supervisors Professor Kim Halford and Dr Liz Jones. I have greatly appreciated their in-depth feedback and much needed pushing and prodding along the way. A special thank you to Professor Kim Halford who has been supportive in what has been a difficult process at times and I couldn t have done this without his endless patience and encouragement. I also wish to thank Maddy Phillips and Lisa Babon for their hard work and contribution to this study and express gratitude to all the families who participated in this research. Further appreciation is expressed to my family for their constant encouragement and understanding throughout the years. A big thank you also, to fellow student, Dr Nadine Smith, for her guidance and amazing friendship which helped to keep me sane throughout the PhD journey. Finally, but perhaps most importantly, I extend my sincere thanks to my husband Tim, for his incredible support and for always believing in me. iii

Abstract Stepfamilies are an increasingly common family structure which has been associated with unique challenges for couples early in their relationships. Previous research has shown that both children and couples within stepfamilies have poorer outcomes than those in first marriage (intact) families and that couples within stepfamilies break-up at much higher rates than couples in first marriage families. The present research consists of two studies that aimed to investigate these differential outcomes for stepfamily couples by examining the longitudinal relationship between a range of both couple and stepfamily specific variables and relationship satisfaction and stability. The broad aims of the research were to compare the relative contribution of general couple factors that have been found to be associated with relationship outcomes for first married couples as opposed to factors that are specific to stepfamilies. Using growth mixture modelling Study 1 compared the trajectory of couple relationship satisfaction of 370 newlywed stepfamily (n = 155) and first married couples (n = 215) over the first four years after marriage. It was hypothesised that there would be more than one class of trajectory and that stepfamily membership would predict membership in a class of trajectory with steeper declines in marital satisfaction and relationship separation over a four year period. Results partially supported the hypotheses finding that being in a stepfamily was a significant predictor of marital status at time 5 and there were 2 classes of relationship satisfaction with one class experiencing an average decline in relationship satisfaction over time and another class showing stability across the first four years of marriage. However, contrary to hypotheses newlywed couples in stepfamilies were iv

more likely than non-stepfamily newlyweds to be in a trajectory class with higher and more stable relationship satisfaction over the first 4 years of marriage. Study 2 investigated the predictors of relationship satisfaction and stability over a period of 2.5 years in a population of 122 stepfamily couples who were in a committed relationship (married or cohabiting), using both self-report questionnaires and interview data. Contrary to hypotheses this study found that, none of the couple variables of low couple satisfaction, high couple conflict, low couple bond or high couple conflict over parenting issues predicted negative couple outcome at time 2. Instead study 2 found that stepfamily specific factors such as living in a complex stepfamily and displaying high stepfamily disillusionment were predictive of negative couple outcome at time 2. Additionally, high contemplation of separation at time 1 and poor child adjustment also predicted negative couple outcome at time 2. Together the studies found that although newlywed couples in stepfamilies were more likely than non-stepfamily newlyweds to be in a trajectory class with higher and more stable relationship satisfaction over the first 4 years of marriage they were also more likely to break up and that stepfamily specific factors accounted for variance in relationship satisfaction and stability above that accounted for by couple factors. It was therefore concluded that the influence of stepfamily couple relationship satisfaction and stability seem distinctive from first-marriage couples. In light of these findings it was suggested that theories of relationship satisfaction and dissolution should account for these differences in order to better understand the relationship satisfaction and dissolution of stepfamily couples. It was further suggested that relationship education and intervention programs for stepfamilies need to address the unique needs of stepfamilies such as the development of positive stepparent-stepchild v

relationships, increasing stepfamily cohesion, and assisting with child adjustment in order to provide better outcomes for stepfamilies. vi

Contents Declaration... ii Acknowledgements... iii Abstract... iv Contents... vii Table of tables... x Table of figures... xi Chapter 1 - Couple Outcomes in Stepfamilies... 1 Prevalence of stepfamilies... 3 Significance of Stepfamilies... 5 Unique Characteristics of Stepfamilies.... 5 Child Outcomes in Stepfamilies.... 7 Couple Outcomes in Stepfamilies.... 10 Marital Satisfaction... 15 Conclusion... 18 Chapter 2 - Study 1: The trajectory of relationship stability and satisfaction in stepfamilies... 20 The Trajectory of Relationship Satisfaction... 20 Factors associated with the trajectory of marital satisfaction and stability... 29 Summary... 34 Aims and Hypotheses... 35 Method... 37 Participants.... 37 Procedure.... 38 Materials.... 40 Results... 43 Trajectory of marital satisfaction.... 43 Data Screening.... 45 Descriptive Data.... 46 Database preparation and analyses.... 50 Selecting number of classes.... 51 Class Trajectories... 55 vii

Time 1 Factors.... 58 Class Trajectories and Marital Status Outcomes.... 60 Post Hoc Analyses.... 62 Discussion... 64 Limitations of the study.... 71 Potential practical implications of the study.... 73 Conclusion... 73 Chapter 3 - Risk Factors for Relationship Dissatisfaction and Instability... 75 Individual Characteristics... 76 Stepfamily Specific Individual Characteristics... 82 Couple Characteristics... 84 Stepfamily Specific Couple Characteristics... 87 Family Characteristics... 87 Stepfamily Specific Family Characteristics... 89 Environmental Characteristics... 95 Stepfamily Specific Environmental Characteristics... 97 Conclusion... 98 Chapter 4 - Study Two: Predictors of relationship stability and satisfaction within stepfamilies... 100 Multi-Method Assessment Using the Oral History Interview... 104 Relationship Satisfaction and Stability... 105 Research Aims and Hypotheses... 109 Method... 111 Participants.... 111 Materials.... 112 Procedure.... 123 Data Analyses.... 124 Results... 124 Sample Characteristics... 124 Descriptive Data.... 126 Data Screening.... 129 Analysis.... 130 Discussion... 145 Relationship to prior research.... 147 Strengths.... 149 viii

Limitations.... 149 Future directions.... 151 Conclusion... 152 Chapter 5 - General Discussion... 153 Summary of key findings... 153 Discrepancies in Findings across Study 1 and Study 2... 153 Summary of key theoretical implications... 155 Clinical Implications... 156 Suggestions for Future Research... 160 Conclusion... 162 References... 163 Appendix A... 226 Appendix B... 226 Appendix C... 242 Appendix D... 248 ix

Table of tables Table 2.1. Characteristics of the Entire Sample of Couples at Time 1.... 38 Table 2.2. Means, standard deviations and Correlations between the dependant and independent variables for all measures.... 48 Table 2.3. Selection criteria values for competing models.... 53 Table 2.4. Intercept and linear slope means (SE) for both classes.... 57 Table 2.5. Average Latent Class Probabilities for Most Likely Class Membership (Row) by Class (Column).... 58 Table 2.6. Logistic regression for covariates onto class.... 59 Table 2.7. Logistic regression for covariates onto Time 5 Marital Status.... 61 Table 4.1. Code definitions for the Oral History Interview for Stepfamily.... 118 Table 4.2. Inter-coder reliability on Oral History Interview for Stepfamilies... 121 Table 4.4. Means and percentages on sociodemographic characteristics of the sample at Time1.... 126 Table 4.5. Means, standard deviations and correlations between time 1 male and female scores on predictor variables.... 127 Table 4.6. Means and standard deviations of couple questionnaire and video interview data... 129 Table 4.7. Correlations between the dependant variable and independent variables for all measures... 132 Table 4.8. Logistic regression predicting relationship outcome from self-reported time 1 couple, stepfamily, parenting and child adjustment variables.... 134 Table 4.9. Logistic regression predicting relationship outcome from time 1 observational couple and stepfamily variables... 136 Table 4.10. Logistic regression predicting relationship status from time 1 selfreported couple, stepfamily, parenting and child adjustment variables.... 138 Table 4.11. Correlations between the dependent variables (Time 2 relationship stability Time 2 relationship satisfaction) and independent variables for all measures used in regressions.... 140 Table 4.12. Hierarchical multiple regression predicting relationship stability from self report couple, stepfamily, parenting, and child adjustment variables.... 141 Table 4.13. Hierarchical multiple regression predicting relationship stability from observational couple and stepfamily variables... 142 Table 4.14. Hierarchical multiple regression predicting relationship satisfaction from self-report couple, stepfamily, parenting and child adjustment variables... 143 Table 4.15. Hierarchical multiple regression predicting relationship satisfaction from observational couple and stepfamily variables... 144 x

Table of figures Figure 2.1. Growth mixture model with a distal outcome of time 5 marital status.... 44 Figure 2.3. Boscardin et al (2008) mean separating two unique populations. 50 Figure 2.3. Selection criteria values for increasing classes.... 54 Figure 2.4. Entropy for increasing classes.... 55 Figure 2.5. Mean DAS at each time point for the Two Classes.... 56 xi