Dyadic Data Analysis
By D. Annis. 2007
3,533 citations recorded by the source corpus.
Subfields: Artificial Intelligence, Food Science, Geometry and Topology
View Paper: https://www.semanticscholar.org/paper/e34890a59b2cdeaf04e8017b5268cdf0c4889ea7
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Artificial Intelligence
- Steffen Nestler
- Erika N. Carlson
- Sarah Humberg
- K. Stobbeleir
- Karoline A. Sachse
- Ana Isabel Sanz Vergel
- Federico Aime
- A. Rodríguez-Muñoz
In Food Science
- K. Stobbeleir
- Karoline A. Sachse
- Ana Isabel Sanz Vergel
- Federico Aime
- A. Rodríguez-Muñoz
- W. A. Collins
- Nina Waddell
- Kim Bastaits
In Geometry and Topology
- K. Stobbeleir
- Karoline A. Sachse
- Ana Isabel Sanz Vergel
- Federico Aime
- A. Rodríguez-Muñoz
- W. A. Collins
- Nina Waddell
- Kim Bastaits
Citations in the corpus
- Compared With What? The Effects of Different Comparisons on Conceptual Knowledge and Procedural Flexibility for Equation Solving (2009, methodology): “We specified the use of restricted maximum likelihood (REML) estimation and compound symmetry for the variance-covariance structure in the models (Kenny et al., 2006).”
- Distress in couples coping with cancer: a meta-analysis and critical review of role and gender effects. (2008, background): “Kenny and his associates (e.g., Cook & Kenny, 2005; Kashy & Kenny, 2000; Kenny & Cook, 1999; Kenny, Kashy, & Cook, 2006) have proposed a model of dyadic data analysis, the actor–partner interdependence model (APIM), which uses the dyad as the unit of analysis while also allowing for gender…”
- Walking in each other's Shoes: Perspective Taking Mediates Effects of Emotional Intelligence on Relationship Quality (2011, methodology): “To investigate the effects of emotional intelligence on relationship quality, data were analysed using structural equation modelling according to the Actor-Partner Interdependence Model (APIM; Kenny, 1996; Kenny et al., 2006; Vollmann, Antoniw, Hartung, & Renner, 2011).”
- Perceived empathy, accurate empathy and relationship satisfaction in heterosexual couples (2010, methodology): “Although the cut off for what is considered an adequately reliable measure may vary, Nunnally (1978) has suggested a minimum level of .”
- The role of relational uncertainty in depressive symptoms and relationship quality (2010, background): “Path analysis was advantageous because (i) it accommodates observations that are not independent, (ii) it documents actor and partner effects in a straightforward fashion, and (iii) it offers a parsimonious method of evaluating mediation (Kenny et al., 2006).”
- Multiple-Group Analysis for Structural Equation Modeling With Dependent Samples (2015, methodology): “Methods that are widely used to analyze dependent samples in social and behavioral research can be found in Kenny, Kashy, and Cook (2006).”
- Perceived, not actual, similarity predicts initial attraction in a live romantic context: Evidence from the speed-dating paradigm (2013, methodology): “We also analyzed these data using the social relations model (SRM; Kenny, 1994; Kenny et al., 2006).”
- I feel, therefore you act: Intrapersonal and interpersonal effects of emotion on negotiation as a function of social power (2010, methodology): “relatively inflexible in the specific tests that can be run (Kenny et al., 2006).”
- Comment (2015, methodology): “…analysis and has received increasing attention in the conventional regression framework (e.g., the actor-partner interdependence model, the multilevel p 2 model; for an overview, see Card, Selig, and Little [2011]; Kenny, Kashy, and Cook [2006]), it has been less developed in sequence analysis.”
- An actor—partner interdependence model of relational turbulence: Cognitions and emotions (2010, methodology): “We employ an actor–partner interdependence model (Cook & Kenny, 2005; Kenny, Kashy, & Cook, 2006) to address recent calls for theorizing about the interplay within dyads (Cook & Snyder, 2005; Kenny et al., 2006).”