What Are They Thinking? A National Study of Stability and Change in Divorce Ideation

Hawkins, Alan J.; Galovan, Adam M.; Harris, Steven M.; Allen, Sage Erickson; Allen, Sarah M.; Roberts, Kelly M.; Schramm, David G.

doi:10.1111/famp.12299

Cited by 19 publications

(29 citation statements)

References 34 publications

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“…Recent research on divorce decision‐making may provide a glimpse into why an individual or a couple might postpone help seeking. Hawkins et al (2017) found that individuals who have serious concerns about the health of their marriage tend to vacillate for long periods of time, going back and forth between thinking the marriage can be salvaged and wanting to end the marriage. Presumably, they continue to weigh whether to seek help.…”

Section: Discussionmentioning

confidence: 99%

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How long do people wait before seeking couples therapy? A research note

Doherty

Harris

Hall

et al. 2021

J Marital Family Therapy

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A widely cited but poorly supported idea in the couples therapy field is that the average couple waits six years before starting therapy for serious relationship problems. This figure is often accompanied by the notion that many couples come “too late” and have poor prospects for recovery. This is the first large‐sample study on the delay between the onset of serious marital problems and entry into couples therapy (N = 270) and individual therapy (N = 101) for relationship problems. We found an average interval of 2.68 years from onset of problems and entering couples therapy, with the great majority of couples entering therapy within two years. Findings were similar for seeking individual therapy for relationship problems. The main clinical implication is that therapists have little reason to be pessimistic about the majority of couples waiting so long before starting therapy that their problems are not resolvable.

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Section: Discussionmentioning

confidence: 99%

“…Recent research on divorce decision-making may provide a glimpse into why an individual or a couple might postpone help seeking. Hawkins et al (2017) found that individuals who have serious…”

Section: Discussionmentioning

confidence: 99%

How long do people wait before seeking couples therapy? A research note

Doherty

Harris

Hall

et al. 2021

J Marital Family Therapy

Self Cite

View full text Add to dashboard Cite

show abstract

“…Approximately 14% of data were missing. To estimate missing values, we employed multiple imputation with chained equations (MICE) within the pcAux R package (Lang et al, ) to impute 100 complete data sets (see Hawkins et al, ). With continuous data, MICE has been found to yield similar results as the full information maximum likelihood estimation and the multiple imputation with data augmentation techniques (Azur, Stuart, Frangakis, & Leaf, ; Enders, ).…”

Section: Methodsmentioning

confidence: 99%

Use It or Lose It? Predicting Learning Transfer of Relationship and Marriage Education Among Child Welfare Professionals

Schramm

Galovan

Futris³

et al. 2019

Family Relations

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Objective Following a training in relationship and marriage education (RME), examine whether applying information at 2 months is associated with application at 6 months and how participants' confidence, utility, and self‐efficacy is associated with learning transfer and application at 2 months posttraining. Background Child welfare professionals are required to receive numerous trainings each year with the expectation of understanding, retaining, and transferring this learning into practice. Method With a sample of 324 child welfare professionals across 5 states who completed a 1‐day training in RME, we used structural equation modeling with participant self‐efficacy, utility, and confidence as predictors of application of RME concepts at 2 months posttraining. We also assessed how application of RME concepts at 2 months predicted self‐efficacy, confidence, and application at 6 months. Results Only the combined effect of both higher self‐efficacy and higher utility was related to applying concepts at 2 months. Those who apply the concepts at 2 months are more likely both to report higher confidence at 6 months and to apply the concepts at 6 months. Conclusions Evaluations of trainings should move beyond measurement of immediate learning outcomes to better understanding how to motivate immediate learning transfer. Implications If participants do not feel like they have actually learned new skills and, more importantly, do not implement the skills with individuals or clients soon after a training, they will be much less likely to use them in the future. A combination of learning concrete principles and skills with confidence they can implement the materials may result in future implementation.

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“…Therefore, a sophisticated approach to examine these intricacies capable of accounting for various rates of change across time is essential. Recent statistical developments can more fully reflect family and clinical dyadic processes across time, such as: autoregressive models (i.e., inter‐associations across time between multiple variables), latent growth curves (LGC; average rate of change across time; Duncan, Duncan, & Strycker, 2006), and latent class growth analysis (LCGA) or growth mixture models (GMM; multiple paths of change across time; Jung & Wickrama, 2008), latent change score models (Grimm, Ram, & Estabrook, 2017), and latent transition analyses (Hawkins et al., 2017). These techniques vary in the research questions they can address and their focus.…”

Section: Growth Mixture Modeling To Assess Differences In Change Acromentioning

confidence: 99%

Identifying Different Ways People Change: A Latent Basis Growth Mixture Model Example Identifying Nonlinear Trajectories of Binge Drinking

Soloski¹,

Durtschi

2019

J Marital Family Therapy

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Our field of couple and family therapy focuses on change, different ways people change, and how therapists can facilitate change. Change can be modeled as an average trajectorygrowth curve model-or as multiple classes of trajectories-growth mixture model. The field of MFT has not yet fully embraced implementing more advanced longitudinal modeling procedures to study what we care about most, change across time. To support our field moving in this direction, we provide a step-by-step description and example in Mplus software. Our example analysis used N = 5,958 participants from the Add Health dataset, to identify unique classifications of trajectories of binge drinking. We discuss how these analytical methods provide increased options to advance family science and clinical research. Studying change across time is at the heart of family science and clinical research. Family development, family processes, symptom development, and therapeutic change, are all complex, heterogeneous, and inherently longitudinal in nature. Therefore, a sophisticated approach to examine these intricacies capable of accounting for various rates of change across time is essential. Recent statistical developments can more fully reflect family and clinical dyadic processes across time, such as: autoregressive models (i.e., inter-associations across time between multiple variables), latent growth curves (LGC; average rate of change across time; Duncan, Duncan, & Strycker, 2006), and latent class growth analysis (LCGA) or growth mixture models (GMM; multiple paths of change across time; Jung & Wickrama, 2008), latent change score models (Grimm, Ram, & Estabrook, 2017), and latent transition analyses (Hawkins et al., 2017). These techniques vary in the research questions they can address and their focus. Most statistical approaches, including autoregressive models and latent growth curves, are what can be classified as "variablecentered" approaches, meaning that the population of interest is considered homogenous and that an average-level of association between variables, or an average rate of change adequately represents the data (Jung & Wickrama, 2008). Person-centered modeling, on the other hand, considers the population as heterogeneous. This type of modeling can identify groups of people that have similar response patterns to a questionnaire (e.g., latent class analysis), that membership in a subgroup can change over time (e.g., latent transition analysis), and that rates of change may vary between different groups of participants who may share common characteristics (e.g., growth mixture modeling). Growth mixture models (GMM) are a "person-centered" approach to identifying

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What Are They Thinking? A National Study of Stability and Change in Divorce Ideation

Cited by 19 publications

References 34 publications

How long do people wait before seeking couples therapy? A research note

How long do people wait before seeking couples therapy? A research note

Use It or Lose It? Predicting Learning Transfer of Relationship and Marriage Education Among Child Welfare Professionals

Identifying Different Ways People Change: A Latent Basis Growth Mixture Model Example Identifying Nonlinear Trajectories of Binge Drinking

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