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Predicting Permanency Intentions Among Kinship Caregivers

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Abstract

This study examines kinship caregivers’ (n = 830) experiences and their perceptions of the children (n = 1,339) in their care in order to predict permanency intent. Permanency intent is a caregiver’s expressed intent to adopt the child in his or her care or to provide permanent, legal guardianship. The results of this study reveal that most caregivers’ permanency choice is guardianship and not adoption. However, binary logistic regression results uncovered six factors (i.e., thorough explanation of case plans, decreases in caregiver emotional stress, decreases in child depression, child lack of communication with birth parent, caregiver providing care for a sibling group, decreases in run-away behavior) that predict that a caregiver will adopt the child in his or her care. Policy, practice, and research implications are noted.

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Notes

  1. Rationale for use of the Stepwise Procedure

    There are potential problems inherent in the use of the stepwise technique. One such problem is the potential for the technique to render incorrect estimates of coefficients and associated error terms. This can be looked at as a degrees of freedom issue which is further complicated by the manner in which the SPSS results fail to reflect all the detail that went into creating the model. The issue at hand is that ideally the degrees of freedom should reflect all the variables that were entered into the model as opposed to only those that end up in the model. However, the degrees of freedom problem in stepwise methods is “situationally conditional” (Thompson 1995, p. 528). The results of the stepwise method can be generally more relied upon when the sample size is very large or when the number of predictor variables is small (Snyder & Lawson 1993). Although several of the original 830 caregiver cases were lost due to missing data or skewness, the analysis employed a relatively small number of predictor variables resulting in df = 22 for the adoption (n = 295) and df = 22 for the guardianship (n = 157) model.

    A second drawback of the stepwise procedure is the fact that at times the study results may not be generalizable or replicable given potential sampling error as opposed to real variation in the population. Again, an attempt to minimize this risk was made by assuring that the number of predictor variables used was small relative to the number of cases available for observation. Additionally, the validity of the statistical results is reinforced by the manner in which the caregivers were chosen and the data were collected. The sampling frames were rich comprising several different types of caregivers with diverse socio-demographics. A random sample of names was drawn from the sampling frames in an attempt to equalize the chance of selection. Together these factors helped limit the risks of sampling error, which in turn bolsters the generalizability of the results.

    The literature review and theoretical discoveries described earlier in this article were the basis for narrowing the selection of possible explanatory variables. However, even within the narrow field of variables contained in the literature, the stepwise procedure affords researchers something that theoretical arguments alone are unable to do. For example, Shtatland et al. (2001) advise: “even with rather moderate numbers of covariates we cannot do without stepwise selection. The stepwise technique allows us to decrease drastically the total number of models under consideration and to produce the final model” (p. 222). Also, sole reliance on theory and the literature would require that we have a very limited number of available explanatory variables. At this juncture we do not know enough about how relative caregivers’ experiences and characteristics shape their decisions to adopt the children in their care. In stepwise regression “purposeful selection which combines subject measure knowledge with statistical significance considerations can be performed only when we have a small number of models to compare originally” (Shtatland et al. (2001), p. 222). What predicts permanency intent among relative caregivers is open-ended at this point and thus the need for the field to start to uncover significant variables so that we can narrow our understanding of why caregivers do or do not adopt. It is not that the regression analyses employed here are atheoretical; it is the fact that there is not enough theory to fully narrow the field of potential models (Cohen 1991). Likewise, stepwise models allow us to build models and allow more examination of “models which might not otherwise have been examined” (Shtatland et al 2004, p. 1) if we relied on the literature or extant theoretical arguments alone. Moreover, in this analysis the author rejected the false dichotomy between data-driven (stepwise) model selection and theory-based model selection. Theory was used to cull a smaller set of explanatory variables from the much larger possibility of measures. Then, stepwise was used to pare the set down further. And finally, theory was again used to select among the stepwise models and to explain the results produced. As Osborne 2005 (2008) reminds “the researcher is not forced to blindly accept a single model determined by a stepwise algorithm” (p. 378). In short, the stepwise procedures used here were informed and interpreted by the permanency incentives and disincentives theoretical leads provided by the available literature.

  2. A five-point Likert scale was used on the adoption and guardianship intent questions. A response of “I have made a decision to NOT adopt (to NOT provide guardianship) was scored and entered into the SPSS analysis as a 1, “I am not very likely” was a 2, “I am somewhat likely” was a 3, “I have made a decision to adopt (to provide legal guardianship)” was entered as a 4, and “I have adopted (I have finalized a legal guardianship)” was entered as a 5.

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Acknowledgments

This research was supported by grant funding from the State of Nevada Division of Child and Family Services and the Clark County Department of Family Services. I wish to thank all of the individuals who devoted their time and talent to the research and evaluation efforts that supported the development of this article, including: Chris Kordus, Constance Brooks, Nancy Downey, Alicia Crowther, Jesse Russell, and Renee Brown.

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Correspondence to Ramona W. Denby.

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Denby, R.W. Predicting Permanency Intentions Among Kinship Caregivers. Child Adolesc Soc Work J 28, 113–131 (2011). https://doi.org/10.1007/s10560-010-0221-x

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