Stimulating innovations in the measurement of parenting constructs

Childhood Obesity

Volumn 9, Issue SUPPL.1, 2013, Pages

  Mâsse, Louise C ^a   Watts, Allison W ^a  

^a UNIVERSITY OF BRITISH COLUMBIA   (Canada)

Author keywords

[No Author keywords available]

Indexed keywords

CHILD PARENT RELATION; HUMAN; INFORMATION PROCESSING; METHODOLOGY; PARENT; PSYCHOLOGICAL ASPECT; PSYCHOMETRY; REVIEW; SELF REPORT; STANDARD;

DATA COLLECTION; HUMANS; PARENTING; PARENTS; PSYCHOMETRICS; SELF REPORT;

EID: 84882779821     PISSN: 21532168     EISSN: 21532176     Source Type: Journal    
DOI: 10.1089/chi.2013.0041     Document Type: Review

References (90)

1. Summerbell CD, Waters E, Edmunds LD, et al. Interventions for preventing obesity in children. Cochrane Database Syst Rev 2007;1-70.
2. Golley RK, Hendrie GA, Slater A, et al. Interventions that involve parents to improve children's weight-related nutrition intake and activity patterns - what nutrition and activity targets and behaviour change techniques are associated with intervention effectiveness?. Obes Rev 2011;12:114-130.
3. Skouteris H, McCabe M, Swinburn B, et al. Parental influence and obesity prevention in pre-schoolers: A systematic review of interventions. Obes Rev 2011;12:315-328.
4. Kitzmann KM, Beech BM. Family-based interventions for pediatric obesity: Methodological and conceptual challenges from family psychology. J Fam Psychol 2006;20:175-189. (Pubitemid 44022489)
5. Nowicka P, Flodmark CE. Family in pediatric obesity management: A literature review. Int J Pediatr Obes 2008;3(Suppl 1):44-50. (Pubitemid 351285467)
6. Epstein LH, Paluch RA, Roemmich JN, et al. Family-based obesity treatment, then and now: Twenty-five years of pediatric obesity treatment. Health Psychol 2007;26:381-391. (Pubitemid 47444996)
7. Faith MS, Van HL, Appel LJ, et al. Evaluating parents and adult caregivers as ''agents of change'' for treating obese children: Evidence for parent behavior change strategies and research gaps: A scientific statement from the American Heart Association. Circulation 2012;125:1186-1207.
8. Summerbell CD, Ashton V, Campbell KJ, et al. Interventions for treating obesity in children (review). Cochrane Database Syst Rev 2007;1-57.
9. McGovern L, Johnson JN, Paulo R, et al. Clinical review: Treatment of pediatric obesity: A systematic review and meta-analysis of randomized trials. J Clin Endocrinol Metab 2008;93:4600-4605.
10. Pritchett R, Kemp J, Wilson P, et al. Quick, simple measures of family relationships for use in clinical practice and research. A systematic review. Fam Pract 2011;28:172-187.
11. Sleddens EF, Gerards SM, Thijs C, et al. General parenting, childhood overweight and obesity-inducing behaviors: A review. Int J Pediatr Obes 2011;6:e12-e27.
12. Hennessy E, Hughes SO, Goldberg JP, et al. Parent-child interactions and objectively measured child physical activity: A crosssectional study. Int J Behav Nutr Phys Act 2010;7:71.
13. Stewart SM, Bond MH. A critical look at parenting research from the mainstream: Problems uncovered while adapting Western research to non-Western cultures. Br J Dev Psychol 2002;20:379-392. (Pubitemid 38845571)
14. Baumrind D. Current patterns of parental authority. Dev Psychol 1971;4:1-103.
15. Maccoby EE, Martin JA. Socialization in the context of the family: Parent-child interaction. In: Mussen PH, Hetherington EM (eds), Handbook of Child Psychology: Socialization, Personality, and Social Development. Wiley & Sons, Inc.: New York, 1983, pp. 1-101.
16. Robertson AS, Rivara FP, Ebel BE, et al. Validation of parent self reported home safety practices. Inj Prev 2005;11:209-212. (Pubitemid 41169420)
17. Hawes D, Dadds M. Assessing parenting practices through parentreport and direct observation during parent-training. J Child Fam Stud 2006;15:554-567. (Pubitemid 44494967)
18. van der Horst K, Oenema A, Ferreira I, et al. A systematic review of environmental correlates of obesity-related dietary behaviors in youth. Health Educ Res 2007;22:203-226. (Pubitemid 46439745)
19. Walker LO, Kirby RS. Conceptual and measurement issues in early parenting practices research: An epidemiologic perspective. Matern Child Health J 2010;14:958-970.
20. Davison KK, Masse L, Timperio A, et al. Physical activity parenting measurement and research: Challenges, explanations, and solutions. Child Obes 2013;9(S1):S-103-S-109.
21. Power TG, Sleddens EFC, Berge J, et al. Contemporary research on parenting: Conceptual, methodological, and translational issues. Child Obes 2013;9(S1):S-87-S-94.
22. Hughes SO, Frankel LA, Beltran A, et al. Food Parenting measurement issues:Working Group Consensus Report. Child Obes 2013;9(S1):S-95-S-102.
23. O'Connor TM, Hingle M, Chuang R-J, et al. Conceptual understanding of screen media parenting: Report of a Working Group. Child Obes 2013;9(S1):S-110-S-118.
24. Streiner DL, Norman GR. Health Measurement Scales: A Practical Guide to Their Development and Use. Oxford University Press: Oxford, 2008.
25. Morsbach SK, Prinz RJ. Understanding and improving the validity of self-report of parenting. Clin Child Fam Psychol Rev 2006;9:1-21. (Pubitemid 44273857)
26. Catania J, Binson D, Canchola J, et al. Effects of interviewer gender, interviewer choice, and item wording on responses to questions concerning sexual behavior. Public Opin Q 1996;60:345-375.
27. DiFranceisco W, McAuliffe T, Sikkema K. Influences of survey instrument format on the reliability of self-reported high risk sexual behavior. AIDS Behav 1998;2:329-337.
28. Belli R, Traugott M, Young M, et al. Reducing vote overreporting in surveys: Social desirability, memory failure, and source monitoring. Public Opin Q 1999;63:90-108.
29. Presser S, Stinson L. Data collection mode and social desirability bias in self-reported religious attendance. Am Sociol Rev 1998;63:137-145. (Pubitemid 128605722)
30. Crowne DP, Marlowe D. A new scale of social desirability independent of psychopathology. J Consult Psychol 1960;24:349-354.
31. Paulhus D. Two-component models of socially desirable responding. J Pers Soc Psychol 1984;46:598-609.
32. Stöber J. The Social Desirability Scale-17 (SDS-17): Convergent validity, discriminant validity, and relationship with age. Eur J Psychol Assess 2001;17:222-232.
33. Jo M. Controlling social-desirability bias via method factors of direct and indirect questioning in structural equation models. Psychol Market 2000;17:137-148.
34. Leite WL, Beretvas SN. Validation of scores on the Marlowe-Crowne Social Desirability Scale and the Balanced Inventory of Desirable Responding. Educ Psychol Meas 2005;65:140-154. (Pubitemid 40176611)
35. Uziel L. Rethinking social desirability scales: From impression management to interpersonally oriented self-control. Perspect Psychol Sci 2010;5:243-262.
36. Kipnis V, Freedman LS, Brown CC, et al. Effect of measurement error on energy-adjustment models in nutritional epidemiology. Am J Epidemiol 1997;146:842-855. (Pubitemid 27498102)
37. Buonaccorsi JP. Measurement Error: Models, Methods, and Applications. Chapman & Hall/CRC Press: Boca Raton, FL, 2010.
38. Shelton K, Frick P, Wootton J. Assessment of parenting practices in families of elementary school-age children. J Clin Child Psychol 1996;25:317-329. (Pubitemid 126114318)
39. Fisher R. Social desirability bias and the validity of indirect questioning. J Consum Res 1993;20:303-315.
40. Del Boca FK, Noll JA. Truth or consequences: The validity of selfreport data in health services research on addictions. Addiction 2000;959(Suppl 3):S347-S360.
41. Nusser SM, Beyler NK, Welk GJ, et al. Modeling errors in physical activity recall data. J Phys Act Health 2012;9(Suppl 1):S56-S67.
42. Greenwald AG, Poehlman TA, Uhlmann EL, et al. Understanding and using the Implicit Association Test: III. Meta-analysis of predictive validity. J Pers Soc Psychol 2009;97:17-41.
43. Ham J, van den Bos K. On unconscious and conscious thought and the accuracy of implicit and explicit judgments. Soc Cognition 2011;6:648-667.
44. Fazio RH, Olson MA. Implicit measures in social cognition. research: Their meaning and use. Annu Rev Psychol 2003;54:297-327. (Pubitemid 37417496)
45. Nosek BA, Smyth FL. A multitrait-multimethod validation of the Implicit Association Test: Implicit and explicit attitudes are related but distinct constructs. Exp Psychol 2007;54:14-29.
46. Hofmann W, Friese M, Wiers RW. Impulsive versus reflective influences on health behavior: A theoretical framework and empirical review. Health Psychology Rev 2008;2:111-137.
47. Nosek BA, Hawkins CB, Frazier RS. Implicit social cognition: From measures to mechanisms. Trends Cogn Sci 2011;15:152-159.
48. Greenwald AG, McGhee DE, Schwartz JL. Measuring individual differences in implicit cognition: The implicit association test. J Pers Soc Psychol 1998;74:1464-1480. (Pubitemid 128658112)
49. Nosek BA, Greenwald AG, Banaji MR. Understanding and using the Implicit Association Test: II. Method variables and construct validity. Pers Soc Psychol Bull 2005;31:166-180. (Pubitemid 40176558)
50. Bar-Anan Y, Nosek BA, Vianello M. The sorting paired features task: A measure of association strengths. Exp Psychol 2009;56: 329-343.
51. Schwartz MB, Chambliss HO, Brownell KD, et al. Weight bias among health professionals specializing in obesity. Obes Res 2003;11:1033-1039. (Pubitemid 41151579)
52. Project Implicit. Available at https://implicit.harvard.edu/implicit/. Last accessed on May 15, 2013.
53. Shiffman S. Ecological momentary assessment (EMA) in studies of substance use. Psychol Assess 2009;21:486-497.
54. Dunton GF, Intille SS, Wolch J, et al. Investigating the impact of a smart growth community on the contexts of children's physical activity using Ecological Momentary Assessment. Health Place 2012;18:76-84.
55. Ferguson SG, Shiffman S. Using the methods of ecological momentary assessment in substance dependence research - smoking cessation as a case study. Subst Use Misuse 2011;46:87-95.
56. Stone AA, Shiffman S, Atienza AA, et al. Historial roots and rationale of ecological momentary assessment (EMA). In: Stone AA, Shiffman S, Atienza AA, and Nebeling L, (eds), The Science of Real-Time Data Capture: Self-Reports in Health Research. Oxford University Press: New York, 2007, pp. 3-10.
57. Heron KE, Smyth JM. Ecological momentary interventions: Incorporating mobile technology into psychosocial and health behaviour treatments. Br J Health Psychol 2010;15:1-39.
58. Myin-Germeys I, Oorschot M, Collip D, et al. Experience sampling research in psychopathology: Opening the black box of daily life. Psychol Med 2009;39:1533-1547.
59. Kamarck TW, Muldoon MF, Shiffman S, et al. Experiences of demand and control in daily life as correlates of subclinical carotid atherosclerosis in a healthy older sample. Health Psychol 2004;23: 24-32. (Pubitemid 38134095)
60. Cullen KW, Baranowski T, Rittenberry L, et al. Child-reported family and peer influences on fruit, juice and vegetable consumption: Reliability and validity of measures. Health Educ Res 2001;16:187-200. (Pubitemid 32401913)
61. Riley WT, Rivera DE, Atienza AA, et al. Health behavior models in the age of mobile interventions: Are our theories up to the task?. Transl Behav Med 2011;1:53-71.
62. Mâsse LC, Allen D, Wilson M, et al. Introducing equating methodologies to compare test scores from two different self-regulation scales. Health Educ Res 2006;21(Suppl 1):i110-i120.
63. Mâsse LC, Wilson M, Baranowski T, et al. Improving psychometric methods in health education and health behavior research. Health Educ Res 2006;21(Suppl 1):i1-i3.
64. Mâsse LC, Heesch KC, Eason KE, et al. Evaluating the properties of a stage-specific self-efficacy scale for physical activity using classical test theory, confirmatory factor analysis and item response modeling. Health Educ Res 2006;21(Suppl 1):i33-i46.
65. Embretson SE, Reise SP. Item Response Theory for Psychologists. Lawrence Erlbaum Associates, Publishers: Mahwah, NJ, 2000.
66. Embretson SE. The new rules of measurement. Psychol Assessment 1995;8:341-349.
67. Van der Linden WJ, Hambleton RK. Handbook of Modern Item Response Theory. Springer-Verlag: New York, 1997.
68. Forrest CB, Bevans KB, Tucker C, et al. Commentary: The Patient-Reported Outcome Measurement Information System (PROMIS-) for children and youth: Application to pediatric psychology. J Pediatr Psychol 2012;37:614-621.
69. Cella D, Yount S, Rothrock N, et al. The Patient-Reported Outcomes Measurement Information System (PROMIS): Progress of an NIH Roadmap cooperative group during its first two year. Med Care 2007;45:S3-S11.
70. Lai JS, Cella D, Choi S, et al. How item banks and their application can influence measurement practice in rehabilitation medicine: A PROMIS fatigue item bank example. Arch Phys Med Rehabil 2011;92:S20-S27.
71. Yost KJ, Eton DT, Garcia SF, et al. Minimally important differences were estimated for six Patient-Reported Outcomes Measurement Information System-Cancer scales in advanced-stage cancer patients. J Clin Epidemiol 2011;64:507-516.
72. Revicki DA, Cella DF. Health status assessment for the twentyfirst century: Item response theory, item banking and computer adaptive testing. Qual Life Res 1997;6:595-600. (Pubitemid 27431713)
73. Gershon R, Rothrock NE, Hanrahan RT, et al. The development of a clinical outcomes survey research application: Assessment Center. Qual Life Res 2010;19:677-685.
74. DeWalt DA, Rothrock N, Yount S, et al. Evaluation of item candidates: The PROMIS qualitative item review. Med Care 2007;45: S12-S21.
75. Christodoulou C, Junghaenel DU, DeWalt DA, et al. Cognitive interviewing in the evaluation of fatigue items: Results from the patient-reported outcomes measurement information system (PROMIS). Qual Life Res 2008;17:1239-1246.
76. Subar AF, Thompson FE, Potischman N, et al. Formative research of a quick list for an automated self-administered 24-hour dietary recall. J Am Diet Assoc 2007;107:1002-1007. (Pubitemid 46764586)
77. Thompson FE, Subar AF, Loria CM, et al. Need for technological innovation in dietary assessment. J Am Diet Assoc 2010;110:48-51.
78. Sun M, Fernstrom JD, Jia W, et al. A wearable electronic system for objective dietary assessment. J Am Diet Assoc 2010;110:45-47.
79. Six BL, Schap TE, Zhu FM, et al. Evidence-based development of a mobile telephone food record. J Am Diet Assoc 2010;110:74-79.
80. Weiss R, Stumbo PJ, Divakaran A. Automatic food documentation and volume computation using digital imaging and electronic transmission. J Am Diet Assoc 2010;110:42-44.
81. Intille SS, Lester J, Sallis JF, et al. New horizons in sensor development. Med Sci Sports Exerc 2012;44:S24-S31.
82. Intille SS, Albinali F, Mota S, et al. Design of a wearable physical activity monitoring system using mobile phones and accelerometers. Conf Proc IEEE Eng Med Biol Soc 2011;2011:3636-3639.
83. Haycraft E, Blissett J. Eating disorder symptoms and parenting styles. Appetite 2010;54:221-224.
84. Worobey J, Lopez MI, Hoffman DJ. Maternal behavior and infant weight gain in the first year. J Nutr Educ Behav 2009;41:169-175.
85. Lau PW, Lau EY, Wong del P, et al. A systematic review of information and communication technology-based interventions for promoting physical activity behavior change in children and adolescents. J Med Internet Res 2011;13:e48.
86. Johnston JD, Massey AP, De Vanneaux C. Innovation in weight loss interventions programs: An examination of a 3D virtual world approach. International Conference on System Sciences 2012;2890-2899.
87. Gay G, Pollak J, Adams P, et al. Pilot study of Aurora, a social, mobile-phone-based emotion sharing and recording system. J Diabetes Sci Technol 2011;5:325-332.
88. Persky S. Application of virtual reality methods to obesity prevention and management research. J Diabetes Sci Technol 2011; 5:333-339.
89. Ruppert B. New directions in the use of virtual reality for food shopping: Marketing and education perspectives. J Diabetes Sci Technol 2011;5:315-318.
90. Burke R. Virtual shopping: Breakthrough in marketing research. Harvard Bus Rev 1996;74:120-131.