1980
DOI: 10.2307/1129476
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The Strategic Use of Parallel Play: A Sequential Analysis

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Cited by 117 publications
(64 citation statements)
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“…Because the children often play in close proximity to one another, passive play may well evolve into more active forms of play . Bakeman and Brownlee (1980) observed that parallel play often serves as a stepping-stone to group play for typically developing children, and this also may be the case for children with mild developmental delays (Guralnick & Hammond, in press) . Findings for the passive measures also address a frequently stated expectation of inclusion ; that of equal access .…”
Section: Connectednessmentioning
confidence: 99%
“…Because the children often play in close proximity to one another, passive play may well evolve into more active forms of play . Bakeman and Brownlee (1980) observed that parallel play often serves as a stepping-stone to group play for typically developing children, and this also may be the case for children with mild developmental delays (Guralnick & Hammond, in press) . Findings for the passive measures also address a frequently stated expectation of inclusion ; that of equal access .…”
Section: Connectednessmentioning
confidence: 99%
“…Cetacean play may be solitary or social. Parallel play is a form of solitary play that occurs in a social context (Bakeman & Brownlee, 1980). For example, two dolphins in the same location that are playing with their own bubbles but not interacting with one another would be engaging in parallel play.…”
mentioning
confidence: 99%
“…If cases are assigned to groups, then summary statistics are printed for each group. For example, Bakeman and Brownlee (1980) observed two kinds (groups) of children, preterm and full-term. There were 41 children (cases) in all, and each child was observed on several different days (observations).…”
Section: Z-score Computationmentioning
confidence: 99%
“…(l) mean joint frequencies, (2) mean transitional probabilities, (3) mean z scores (the sum of the individual z scores is divided by the square root of the number of cases, not by the number of cases; see Cochran, 1954), and (4) the number of z scores for each transitional probability that were above, or below, their expected value. This is useful because a deviation from a 50-50 split can be tested with a sign test (see Bakeman & Brownlee, 1980). (Note, however, that some z scores may equal their expected values and therefore would not be counted as either above or below.…”
Section: Print Filementioning
confidence: 99%