OBJECTIVE: To develop a valid self-efficacy measure for eating low-fat diets in low-income women. DESIGN: Cognitive interviews followed by self-administered questionnaires. PARTICIPANTS/SETTINGS: 206 (6 + 200) nonpregnant black and white women participating in Head Start and the Special Supplemental Nutrition Program for Women, Infants and Children (WIC) in Wisconsin. VARIABLES MEASURES: A 13-item self-efficacy measure for eating low-fat diets. ANALYSIS: Content analysis and factor analyses. RESULTS: After cognitive interviews, 3 items were removed from a draft instrument. Factor analyses were carried out using data from 200 questionnaires that were randomly selected from a pool of 487 respondents: 100 for exploratory factor analysis (EFA) and 100 for confirmatory factor analysis (CFA). Based on EFA, the 10-item pool was further reduced to 8 items, and 3 domains emerged: negative affect, positive affect, and availability. The results of CFA showed excellent model fit to the data (chi 2/df = 1.2, non-normed fit index = 1.0, comparative fit index = 1.0, incremental fit index = 1.0, root mean square error of approximate =.046). This measure demonstrated excellent reliabilities (Cronbach alpha : .82-.92; composite reliability: .92-.99) and construct and convergent validities. CONCLUSIONS AND IMPLICATIONS: Information obtained from this revised instrument can be used among low-income women to measure self-efficacy for eating low-fat diets. This is an important step in developing more targeted and thus more effective education messages to help low-income women modify their fat intake behaviors.
OBJECTIVE: To develop a valid self-efficacy measure for eating low-fat diets in low-income women. DESIGN: Cognitive interviews followed by self-administered questionnaires. PARTICIPANTS/SETTINGS: 206 (6 + 200) nonpregnant black and white women participating in Head Start and the Special Supplemental Nutrition Program for Women, Infants and Children (WIC) in Wisconsin. VARIABLES MEASURES: A 13-item self-efficacy measure for eating low-fat diets. ANALYSIS: Content analysis and factor analyses. RESULTS: After cognitive interviews, 3 items were removed from a draft instrument. Factor analyses were carried out using data from 200 questionnaires that were randomly selected from a pool of 487 respondents: 100 for exploratory factor analysis (EFA) and 100 for confirmatory factor analysis (CFA). Based on EFA, the 10-item pool was further reduced to 8 items, and 3 domains emerged: negative affect, positive affect, and availability. The results of CFA showed excellent model fit to the data (chi 2/df = 1.2, non-normed fit index = 1.0, comparative fit index = 1.0, incremental fit index = 1.0, root mean square error of approximate =.046). This measure demonstrated excellent reliabilities (Cronbach alpha : .82-.92; composite reliability: .92-.99) and construct and convergent validities. CONCLUSIONS AND IMPLICATIONS: Information obtained from this revised instrument can be used among low-income women to measure self-efficacy for eating low-fat diets. This is an important step in developing more targeted and thus more effective education messages to help low-income women modify their fat intake behaviors.
Authors: Deborah Parra-Medina; Sara Wilcox; Dawn K Wilson; Cheryl L Addy; Gwen Felton; Mary Beth Poston Journal: Contemp Clin Trials Date: 2009-09-22 Impact factor: 2.226
Authors: Adam Bayley; Nicole de Zoysa; Derek G Cook; Peter H Whincup; Daniel Stahl; Katherine Twist; Katie Ridge; Paul McCrone; Janet Treasure; Mark Ashworth; Anne Greenough; Clare Blythe; Kirsty Winkley; Khalida Ismail Journal: Trials Date: 2015-03-25 Impact factor: 2.279
Authors: Assiamira Ferrara; Monique M Hedderson; Cheryl L Albright; Susan D Brown; Samantha F Ehrlich; Bette J Caan; Barbara Sternfeld; Nancy P Gordon; Julie A Schmittdiel; Erica P Gunderson; Ashley A Mevi; Ai-Lin Tsai; Jenny Ching; Yvonne Crites; Charles P Quesenberry Journal: BMC Pregnancy Childbirth Date: 2014-01-15 Impact factor: 3.007