TY - JOUR
T1 - A dyadic data analytic primer
T2 - An illustration with Mexican-origin couples
AU - Wheeler, Lorey A.
AU - Updegraff, Kimberly A.
AU - Umaña-Taylor, Adriana J.
N1 - Funding Information:
We are grateful to the families and youth who participated in this project, and to the following schools and districts who collaborated: Osborn, Mesa, and Gilbert school districts, Willis Junior High School, Supai and Ingleside Middle Schools, St. Catherine of Siena, St. Gregory, St. Francis Xavier, St. Mary-Basha, and St. John Bosco. We thank Ann Crouter, Susan McHale, Mark Roosa, Nancy Gonzales, Roger Millsap, Jennifer Kennedy, Leticia Gelhard, Sarah Killoren, Melissa Delgado, Emily Cansler, Shawna Thayer, Devon Hageman, Ji-Yeon Kim, Lilly Shanahan, Norma Perez-Brena, Sue Annie Rodri- guez, Chum Bud Lam, Megan Baril, Anna Solmeyer, and Shawn Whiteman for their assistance in conducting this investigation. We thank Maria Elena Villasante Arce and Kara Brown for help with translating the abstract. Funding was provided by NICHD R01HD39666 (Kimberly A. Updegraff, PI) and the Cowden Fund to the School of Social and Family Dynamics at Arizona State University. Portions of this article were presented at the annual meeting of the National Council on Family Relations, Phoenix, AZ, October, 2012, and in Lorey A. Wheeler’s dissertation.
Funding Information:
We are grateful to the families and youth who participated in this project, and to the following schools and districts who collaborated: Osborn, Mesa, and Gilbert school districts, Willis Junior High School, Supai and Ingleside Middle Schools, St. Catherine of Siena, St. Gregory, St. Francis Xavier, St. Mary-Basha, and St. John Bosco. We thank Ann Crouter, Susan McHale, Mark Roosa, Nancy Gonzales, Roger Millsap, Jennifer Kennedy, Leticia Gelhard, Sarah Killoren, Melissa Delgado, Emily Cansler, Shawna Thayer, Devon Hageman, Ji-Yeon Kim, Lilly Shanahan, Norma Perez-Brena, Sue Annie Rodriguez, Chum Bud Lam, Megan Baril, Anna Solmeyer, and Shawn Whiteman for their assistance in conducting this investigation. We thank Maria Elena Villasante Arce and Kara Brown for help with translating the abstract. Funding was provided by NICHD R01HD39666 (Kimberly A. Updegraff, PI) and the Cowden Fund to the School of Social and Family Dynamics at Arizona State University. Portions of this article were presented at the annual meeting of the National Council on Family Relations, Phoenix, AZ, October, 2012, and in Lorey A. Wheeler's dissertation.
Publisher Copyright:
© 2018 American Psychological Association.
PY - 2018/11
Y1 - 2018/11
N2 - Dyadic matched-pairs (each person paired with one other person) research designs that include parallel data from both members of a relationship dyad provide a rigorous method for examining questions of interdependence. These designs require the use of analytic methods that account for statistical dependencies because of dyad member characteristics and environments. Using structural equation modeling, we illustrate two alternative analytic approaches for distinguishable (nonexchangeable) two-wave dyadic data: (a) a hybrid of the two-intercept and actorpartner interdependence models and (b) a difference model. Few studies have used these rigorous analytic approaches to analyze dyadic data with Latinos, despite demographic shifts in the U.S. and the cultural relevance of family values and relationship interdependence for this population. As such, our illustrative data were drawn from a larger longitudinal study of Mexican-origin families, with husbands and wives both reporting on somatic symptoms and marital negativity (N = 246 marital dyads). Results revealed that Mexican-origin spouses' somatic symptoms related to increases in partners' marital negativity 5 years later. Prior levels of wives' marital negatively linked to more discrepancies in marital negativity five years later, whereas husbands' marital negativity related to fewer discrepancies. We conclude by discussing the benefits of prospective dyadic data designs for researchers examining questions related to Latino populations.
AB - Dyadic matched-pairs (each person paired with one other person) research designs that include parallel data from both members of a relationship dyad provide a rigorous method for examining questions of interdependence. These designs require the use of analytic methods that account for statistical dependencies because of dyad member characteristics and environments. Using structural equation modeling, we illustrate two alternative analytic approaches for distinguishable (nonexchangeable) two-wave dyadic data: (a) a hybrid of the two-intercept and actorpartner interdependence models and (b) a difference model. Few studies have used these rigorous analytic approaches to analyze dyadic data with Latinos, despite demographic shifts in the U.S. and the cultural relevance of family values and relationship interdependence for this population. As such, our illustrative data were drawn from a larger longitudinal study of Mexican-origin families, with husbands and wives both reporting on somatic symptoms and marital negativity (N = 246 marital dyads). Results revealed that Mexican-origin spouses' somatic symptoms related to increases in partners' marital negativity 5 years later. Prior levels of wives' marital negatively linked to more discrepancies in marital negativity five years later, whereas husbands' marital negativity related to fewer discrepancies. We conclude by discussing the benefits of prospective dyadic data designs for researchers examining questions related to Latino populations.
KW - Dyadic data
KW - Family relationships
KW - Latino couples and families
KW - Marriage
KW - Structural equation modeling
UR - http://www.scopus.com/inward/record.url?scp=85055911507&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85055911507&partnerID=8YFLogxK
U2 - 10.1037/lat0000118
DO - 10.1037/lat0000118
M3 - Article
C2 - 30906676
AN - SCOPUS:85055911507
SN - 2168-1678
VL - 6
SP - 276
EP - 290
JO - Journal of Latina/o Psychology
JF - Journal of Latina/o Psychology
IS - 4
ER -