N papers = 69, N experiments = 299, N participants = 5699
Recognition of familiarized content or non-words from running, natural speech using behavioral methods.
Curator is Christina Bergmann
Search Strategy:
"We first generated a list of potentially relevant items to be included in our meta-analysis using the Google Scholar search engine, with the broad search term ‘infant word segmentation’ (following Gehanno, Rollin & Darmoni, 2013). This search was carried out on 27 November 2012 and we inspected the first 1000 results. Fifteen additional items were included based on recommendations and by scanning references of included papers. After removing duplicates, we screened the title and abstract of each remaining item and identified 231 items for full-text inspection using the following inclusion criteria: (1) original data were reported; (2) the stimulus material was continuous natural speech spoken in the participants’ native language; (3) the dependent measure was looking time (LT) at a neutral visual target (i.e. not a possible referent of one set of stimuli); (4) infants were normally developing."