Alderfer, M. A. (2017). Commentary: Family processes and outcomes: Research advances and future directions. Journal of Pediatric Psychology, 42(1), 125–129. https://doi.org/10.1093/jpepsy/jsw100
Google Scholar Alderfer, M. A., Fiese, B. H., Gold, J. I., Cutuli, J. J., Holmbeck, G. N., Goldbeck, L., Chambers, C. T., Abad, M., Spetter, D., Patterson, J. (2008). Evidence-based assessment in pediatric psychology: Family measures. Journal of Pediatric Psychology, 33(9), 1046–1061. https://doi.org/10.1093/jpepsy/jsm083
Google Scholar Alderfer, M. A., Navsaria, N., Kazak, A. E. (2009). Family functioning and posttraumatic stress disorder in adolescent survivors of childhood cancer. Journal of Family Psychology, 23(5), 717–725. https://doi.org/10.1037/a0015996
Google Scholar Amato, P. R. (2014). Approaches to measuring families. In McHale, S. M., Amato, P. R., Booth, A. (Eds.), Emerging methods in family research (pp. 179–193). Springer.
Google Scholar | Crossref Antonovsky, A., Sourani, T. (1988). Family sense of coherence and family adaptation. Journal of Marriage and the Family, 50(1), 79–92. https://doi.org/10.2307/352429
Google Scholar Armsden, G. C., Greenberg, M. T. (1987). The inventory of parent and peer attachment: Individual differences and their relationship to psychological well-being in adolescence. Journal of Youth and Adolescence, 16(5), 427–454. https://doi.org/10.1007/BF02202939
Google Scholar Austin, J. K., Huberty, T. J. (1989). Revision of the family APGAR for use by 8-year-olds. Family Systems Medicine, 7(3), 323–327. https://doi.org/10.1037/h0089774
Google Scholar Barnes, H., Olson, D. (1985). Parent-adolescent communication and the Circumplex Model. Child Development, 56(2), 438–447. https://doi.org/10.2307/1129732
Google Scholar Barroilhet, S., Cano-Prous, A., Cervera-Enguix, S., Forjaz, M. J., Guillén-Grima, F. (2009). A Spanish version of the Family Assessment Device. Social Psychiatry and Psychiatric Epidemiology, 44(12), 1051–1065. https://doi.org/10.1007/s00127-009-0022-8
Google Scholar Beavers, W. R., Hampson, R. B. (2003). Measuring family competence: The Beavers systems model. In Walsh, F. (Ed.), Normal family processes: Growing diversity and complexity (3rd ed., pp. 549–580). Guilford Press. https://doi.org/10.4324/9780203428436_chapter_20
Google Scholar Beavers, W. R., Hampson, R. B., Hulgus, Y. F. (1985). Commentary: The Beavers systems approach to family assessment. Family Process, 24(3), 398–405. https://doi.org/10.1111/j.1545-5300.1985.00398.x
Google Scholar Benzies, K. M., Trute, B., Worthington, C., Reddon, J., Keown, L. A., Moore, M. (2010). Assessing psychological well-being in mothers of children with disability: Evaluation of the Parenting Morale Index and Family Impact of Childhood Disability Scale. Journal of Pediatric Psychology, 36(5), 506–516. https://doi.org/10.1093/jpepsy/jsq081
Google Scholar Bevans, K. B., Riley, A. W., Landgraf, J. M., Carle, A. C., Teneralli, R. E., Fiese, B. H., Meltzer, L. J., Ettinger, A. K., Becker, B. D., Forrest, C. B. (2017). Children’s family experiences: Development of the PROMIS pediatric family relationships measures. Quality of Life Research, 26(11), 3011–3023. https://doi.org/10.1007/s11136-017-1629-y
Google Scholar Bihun, J. T., Wamboldt, M. Z., Gavin, L. A., Wamboldt, F. S. (2002). Can the Family Assessment Device (FAD) be used with school aged children? Family Process, 41(4), 723–731. https://doi.org/10.1111/j.1545-5300.2002.00723.x
Google Scholar Bonevski, B., Randell, M., Paul, C., Chapman, K., Twyman, L., Bryant, J., Brozek, I., Hughes, C. (2014). Reaching the hard-to-reach: A systematic review of strategies for improving health and medical research with socially disadvantaged groups. BMC Medical Research Methodology, 14, Article 42. https://doi.org/10.1186/1471-2288-14-42
Google Scholar Bray, J. H. (2013). Couple and family assessment. In Bray, J. H., Stanton, M. (Eds.), The Wiley-Blackwell handbook of family psychology (pp. 151–163). Wiley-Blackwell.
Google Scholar Busby, D. M., Poulsen, F. O. (2014). Measurement issues with couple- and family-level data. In Miller, R. B., Johnson, L. N. (Eds.), Advanced methods in family therapy research: A focus on validity and change (pp. 44–58). Routledge. https://doi.org/10.4324/9780203084526
Google Scholar Byrne, B. M. (2016). Adaptation of assessment scales in cross-national research: Issues, guidelines, and caveats. International Perspectives in Psychology: Research, Practice, Consultation, 5(1), 51–65. https://doi.org/10.1037/ipp0000042
Google Scholar Carr, A., Stratton, P. (2017). The SCORE family assessment questionnaire: A decade of progress. Family Process, 56(2), 285–301. https://doi.org/10.1111/famp.12280
Google Scholar Cherlin, A. (2010). Demographic trends in the United States: A review of research in the 2000s. Journal of Marriage and Family, 72(3), 403–419. https://doi.org/10.1111/j.1741-3737.2010.00710.x
Google Scholar Coakley, R. M., Holmbeck, G. N., Friedman, D., Greenley, R. N., Thill, A. W. (2002). A longitudinal study of pubertal timing, parent-child conflict, and cohesion in families of young adolescents with spina bifida. Journal of Pediatric Psychology, 27(5), 461–473. https://doi.org/10.1093/jpepsy/27.5.461
Google Scholar Cook, W. L., Kenny, D. A. (2005). The Actor–Partner Interdependence Model: A model of bidirectional effects in developmental studies. International Journal of Behavioral Development, 29(2), 101–109. https://doi.org/10.1080/01650250444000405
Google Scholar Davey, M., Zeytinoglu, S., Lynch, L. (2014). Integrating theory and research. In Miller, R. B., Johnson, L. N. (Eds.), Advanced methods in family therapy research: A focus on validity and change (pp. 28–43). Routledge
Google Scholar Engel, G. L. (1980). The clinical application of the biopsychosocial model. The American Journal of Psychiatry, 137(5), 535–544. https://doi.org/10.1176/ajp.137.5.535
Google Scholar Epstein, J., Santo, R. M., Guillemin, F. (2015). A review of guidelines for cross-cultural adaptation of questionnaires could not bring out a consensus. Journal of Clinical Epidemiology, 68(4), 435–441. https://doi.org/10.1016/j.jclinepi.2014.11.021
Google Scholar Epstein, N. B., Bishop, D. S., Baldwin, L. M. (1982). McMaster model of family functioning: A view of the normal family. In Walsh, F. (Ed.), Normal family processes (pp. 115–141). Guilford Press.
Google Scholar Feetham, S. (2018). Revisiting Feetham’s criteria for research of families to advance science and inform policy for the health and well-being of families [Guest Editorial]. Journal of Family Nursing, 24(2), 115–127. https://doi.org/10.1177/1074840718767831
Google Scholar Fok, C. C., Henry, D. (2015). Increasing the sensitivity of measures to change. Prevention Science, 16(7), 978–986. https://doi.org/10.1007/s11121-015-0545-z
Google Scholar Fuligni, A. J. (2014). The benefits and challenges of modeling intra-family variability. In McHale, S. M., Amato, P. R., Booth, A. (Eds.), Emerging methods in family research (pp. 57–69). Springer. https://doi.org/10.1007/978-3-319-01562-0_4
Google Scholar Furman, W., Buhrmester, D. (1985a). Children’s perceptions of the personal relationships in their social networks. Developmental Psychology, 21, 1016–1022. https://doi.org/10.1037/0012-1649.21.6.1016
Google Scholar Furman, W., Buhrmester, D. (1985b). Children’s perceptions of the qualities of sibling relationships. Child Development, 56(2), 448–461. https://doi.org/10.2307/1129733
Google Scholar Furman, W., Buhrmester, D. (2009). The Network of Relationships Inventory: Behavioral systems version. International Journal of Behavioral Development, 33, 470–478. https://doi.org/10.1177/0165025409342634
Google Scholar Hahlweg, K. (1996). Fragebogen zur Partnerschaftsdiagnostik (FPD) [Questionnaire for Couple Assessment]. Hogrefe.
Google Scholar Hamilton, E., Carr, A. (2016). Systematic review of self-report family assessment measures. Family Process, 55(1), 16–30. https://doi.org/10.1111/famp.12200
Google Scholar Hendrick, S. S. (1988). A generic measure of relationship satisfaction. Journal of Marriage and the Family, 50(1), 93–98. https://doi.org/10.2307/352430
Google Scholar Hildenbrand, A. K., Alderfer, M. A. (2019). Survey and interview assessment approaches in research with couples and families. In Fiese, B. H., Celano, M., Deater-Deckard, K., Jouriles, E., Whisman, M. (Eds.), APA handbook of contemporary family psychology (pp. 257–279). American Psychological Association. https://doi.org/10.1037/0000099-015
Google Scholar Hill, R. (1949). Families under stress: Adjustment to the crisis of war, separation, and reunion. Harper & Row.
Google Scholar Hobfoll, S. E., Spielberger, C. D. (1992). Family stress: Integrating theory and measurement. Journal of Family Psychology, 6(2), 99–112. https://doi.org/10.1037/0893-3200.6.2.99
Google Scholar Holmbeck, G. N., Devine, K. A. (2009). An author’s checklist for measure development and validation manuscripts [Editorial]. Journal of Pediatric Psychology, 34(7), 691–696. https://doi.org/10.1093/jpepsy/jsp046
Google Scholar Holmbeck, G. N., Devine, K. A. (2011). Commentary: Family assessment in pediatric psychology. Journal of Pediatric Psychology, 36(5), 642–646. https://doi.org/10.1093/jpepsy/jsr004
Google Scholar Hudson, W. W. (1997). The WALMYR Assessment Scale scoring manual. WALMYR Publishing Company.
Google Scholar International Family Nursing Association . (2017). IFNA Position Statement on Advanced Practice Competencies for Family Nursing. https://internationalfamilynursing.org/2017/05/19/advanced-practice-competencies/
Google Scholar Juliusdottir, G. M., Olafsdottir, H. (2015). An Icelandic version of McMasters Family Assessment Device (FAD). Research on Social Work Practice, 25(7), 815–827. https://doi.org/10.1177/1049731514538673
Google Scholar Kazak, A., Rourke, M. T., Navsaria, N. (2009). Families and other systems in pediatric psychology. In Roberts, M. C., Steele, R. G. (Eds.), Handbook of pediatric psychology (4th ed., pp. 656–671). Guilford Press.
Google Scholar Keiley, M. K., Dankoski, M., Dolbin-MacNab, M., Liu, T. (2005). Covariance structure analysis: From path analysis to structural equation modeling. In Sprenkle, D. H., Piercy, F. P. (Eds.), Research methods in family therapy (2nd ed., pp. 432–460). Guilford Press.
Google Scholar Keiley, M. K., Martin, N. C., Liu, T., Dolbin-MacNab, M. (2005). Multilevel growth modeling in the context of family research. In Sprenkle, D. H., Piercy, F. P. (Eds.), Research methods in family therapy (2nd ed., pp. 405–431). Guilford Press.
Google Scholar Kenny, D. A., Kashy, D. A., Cook, W. L. (2006). Dyadic data analysis. Guilford Press.
Google Scholar Knafl, K., Deatrick, J. A., Gallo, A., Dixon, J., Grey, M., Knafl, G., O’Malley, J. (2011). Assessment of the psychometric properties of the Family Management Measure. Journal of Pediatric Psychology, 36(5), 494–505. https://doi.org/10.1093/jpepsy/jsp034
Google Scholar Knafl, K., Leeman, J., Havill, N., Crandell, J., Sandelowski, M. (2015). Delimiting family in syntheses of research on childhood chronic conditions and family life. Family Process, 54(1), 173–184. https://doi.org/10.1111/famp.12101
Google Scholar Lebow, J., Stroud, C. B. (2012). Assessment of effective couple and family functioning: Prevailing models and instruments. In Walsh, F. (Ed.), Normal family processes: Growing diversity & complexity (4th ed., pp. 501–528). Guilford Press.
Google Scholar Leeman, J., Crandell, J. L., Lee, A., Bai, J., Sandelowski, M., Knafl, K. (2016). Family functioning and the well-being of children with chronic conditions: A meta-analysis. Research in Nursing & Health, 39(4), 229–243. https://doi.org/10.1002/nur.21725
Google Scholar Linville, D., Todahl, J. L., O’Neil, M. E. (2014). Using questionnaires in clinical couple and family research. In Miller, R. B., Johnson, L. N. (Eds.), Advanced methods in family therapy research: A focus on validity and change (pp. 94–111). Routledge. https://doi.org/10.4324/9780203084526
Google Scholar Locke, H. J., Wallace, K. M. (1959). Short marital-adjustment and prediction tests: Their reliability and validity. Marriage & Family Living, 21, 251–255. https://doi.org/10.2307/348022
Google Scholar Long, K. A., Marsland, A. L. (2011). Family adjustment to childhood cancer: A systematic review. Clinical Child and Family Psychology Review, 14(1), 57–88. https://doi.org/10.1007/s10567-010-0082-z
Google Scholar Marsac, M. L., Alderfer, M. A. (2011). Psychometric properties of the FACES-IV in a pediatric oncology population. Journal of Pediatric Psychology, 36(5), 528–538. https://doi.org/10.1093/jpepsy/jsq003
Google Scholar McCubbin, H. I., Olson, D. H., Larsen, A. S. (1991). F-COPES: Family Crisis Oriented Personal Evaluation Scales. In McCubbin, H. I., Thompson, A. I. (Eds.), Family assessment inventories for research and practice (2nd ed., pp. 203–218). University of Wisconsin.
Google Scholar McCubbin, H. I., Patterson, J. M. (1983). The family stress process: The Double ABCX Model of adjustment and adaptation. Marriage and Family Review, 6(1), 7–37. https://doi.org/10.1300/J002v06n01_02
Google Scholar McCubbin, M. A., McCubbin, H. I., Thompson, A. I. (1996a). Family Hardiness Index (FHI). In McCubbin, H. I., Thompson, A. I., McCubbin, M. A. (Eds.), Family assessment: Resiliency, coping and adaptation—Inventories for research and practice (pp. 239–305). University of Wisconsin.
Google Scholar McCubbin, M. A., McCubbin, H. I., Thompson, A. I. (1996b). Family Problem Solving Communication (FPSC). In McCubbin, H. I., Thompson, A. I., McCubbin, M. A. (Eds.), Family assessment: Resiliency, coping and adaptation—Inventories for research and practice (pp. 639–686). University of Wisconsin.
Google Scholar McHale, S. M., Amato, P. R., Booth, A. (Eds.). (2014). Emerging methods in family research. Springer. https://doi.org/10.1007/978-3-319-01562-0
Google Scholar Mitchell, M. J., Patterson, C. A., Boyd-Franklin, N. (2011). Commentary: Increasing cultural diversity in pediatric psychology family assessment research. Journal of Pediatric Psychology, 36(5), 634–641. https://doi.org/10.1093/jpepsy/jsr019
Google Scholar Moos, R., Moos, B. (1994). Family Environment Scale manual (3rd ed.). Consulting Psychologists Press.
Google Scholar Noel, V. A., Francis, S. E., Tilley, M. A. (2017). An adapted measure of sibling attachment: Factor structure and internal consistency of the Sibling Attachment Inventory in youth. Child Psychiatry & Human Development, 49, 217–224. https://doi.org/10.1007/s10578-017-0742-z
Google Scholar Noojin, A. B., Wallander, J. L. (1996). Development and evaluation of a measure of concerns related to raising a child with a physical disability. Journal of Pediatric Psychology, 21(4), 483–498. https://doi.org/10.1093/jpepsy/21.4.483
Google Scholar Olson, D. H., Gorall, D. M. (2003). Circumplex model of marital and family systems. In Walsh, F. (Ed.), Normal family processes: Growing diversity & complexity (3rd ed., pp. 514–548). Guilford Press. https://doi.org/10.4324/9780203428436_chapter_19
Google Scholar Olson, D. H., Gorall, D. M., Tiesel, J. W. (2006). FACES IV Package. Life Innovations.
Google Scholar Patterson, J. M. (1988). Families experiencing stress: I. The Family Adjustment and Adaptation Response Model: II. Applying the FAAR Model to health-related issues for intervention and research. Family Systems Medicine, 6(2), 202–237. https://doi.org/10.1037/h0089739
Google Scholar Patterson, J. M. (2005). Weaving gold out of straw: Meaning-making in families who have children with chronic illnesses. In Pinsof, W. M., Lebow, J. L. (Eds.), Family psychology: The art of the science (pp. 521–548). Oxford University Press.
Google Scholar Patterson, J. M., Garwick, A. W. (1994). Levels of meaning in family stress theory. Family Process, 33, 287–304. https://doi.org/10.1111/j.1545-5300.1994.00287.x
Google Scholar Panepinto, J. A., Hoffmann, R. G., Pajewski, N. M. (2009). A psychometric evaluation of the PedsQL Family Impact Module in parents of children with sickle cell disease. Health and Quality of Life Outcomes, 7, 32. https://doi.org/10.1186/1477-7525-7-32
Google Scholar Ram, N., Shiyko, M., Lunkenheimer, E. S., Doerksen, S., Conroy, D. (2014). Families as coordinated symbiotic systems: Making use of nonlinear dynamic models. In McHale, S. M., Amato, P. R., Booth, A. (Eds.), Eme