Eva Randhawa
Experimental and Cognitive Psychology · 2016
A researcher in the Science corpus: 1 paper; trusts 19 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Experimental and Cognitive Psychology — 25 citations into it
- Social Psychology — 19 citations into it
- Education — 13 citations into it
- Safety Research — 7 citations into it
Whom Eva Randhawa trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Herbert W. Marsh
- Tenko Raykov
- Gordon W. Cheung
- Jens Möller
- Christoph Niepel
- Jacquelynne S. Eccles
- Roger B. Rensvold
- Jennifer Fredricks
- Sidsel Skaalvik
- M. Schneider
Papers from Eva Randhawa's perspective
Ordered by how strongly the researchers Eva Randhawa trusts endorse each paper. Same corpus, a different order for every researcher.
- The Construction of the Self: A Developmental Perspective (Journal of Cognitive Psychotherapy)
- Evaluating Goodness-of-Fit Indexes for Testing Measurement Invariance
- Reciprocal Effects of Self-Concept and Performance From a Multidimensional Perspective: Beyond Seductive Pleasure and Unidimensional Perspectives (Perspectives on Psychological Science)
- Academic self-concept and academic achievement: relations and causal ordering. (British Journal of Educational Psychology)
- Factorial, Convergent, and Discriminant Validity of TIMSS Math and Science Motivation Measures: A Comparison of Arab and Anglo-Saxon Countries
- Expectancy-Value Theory of Achievement Motivation. (Contemporary Educational Psychology)
- Changes in children's self-competence and values: gender and domain differences across grades one through twelve. (Child Development)
- Children's competence and value beliefs from childhood through adolescence: growth trajectories in two male-sex-typed domains. (Developmental Psychology)
- Do multiple dimensions of self-concept become more differentiated with age? The differential distinctiveness hypothesis
- The best of both worlds: Combining autoregressive and latent curve models.