Heidi Kiefer
Developmental and Educational Psychology · 2010
A researcher in the Science corpus: 1 paper; trusts 1 researcher and is trusted by 1 researcher here, as inferred from the citation graph.
Subfields
- Developmental and Educational Psychology — 24 citations into it; #7,651 of 8,223 by trust here, #5,956 by citations
- Education — 13 citations into it; #10,594 of 11,309 by trust here, #7,873 by citations
- Statistics and Probability — 11 citations into it; #12,482 of 12,932 by trust here, #8,740 by citations
Whom Heidi Kiefer trusts
Their strongest outbound trust, strongest first, inferred from their citations.
- J. Carlisle (in Developmental and Educational Psychology)
Who trusts Heidi Kiefer
- Michael J. Kieffer (in Developmental and Educational Psychology)
Papers from Heidi Kiefer's perspective
Ordered by how strongly the researchers Heidi Kiefer trusts endorse each paper. Same corpus, a different order for every researcher.
- Awareness of the structure and meaning of morphologically complex words: Impact on reading
- Morphological awareness: Just “more phonological”? The roles of morphological and phonological awareness in reading development (Applied Psycholinguistics)
- MORPHOLOGY MATTERS IN LEARNING TO READ: A COMMENTARY
- Foundation literacy acquisition in European orthographies. (British Journal of Psychology)
- Contributions of morphology beyond phonology to literacy outcomes of upper elementary and middle-school students.
- The relation between reading ability and morphological skills: Evidence from derivational suffixes
- On the Anglocentricities of current reading research and practice: the perils of overreliance on an "outlier" orthography. (Psychological bulletin)
- Growth and predictive relations of vocabulary and inflectional morphology in children with and without familial risk for dyslexia (Applied Psycholinguistics)
- Morphological analysis, phonological analysis and learning to read French: a longitudinal study
- TARGET ARTICLE WITH COMMENTARIES AND RESPONSE Becoming literate in different languages: similar problems, different solutions