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Title: Predicting Literacy: Correlating Working Memory, Phonological Awareness,


1
Predicting Literacy Correlating Working
Memory, Phonological Awareness, Early Decoding.
Preliminary Data.
  • Cynthia W. Core, PhD, CCC-SLP
  • Florida Atlantic University
  • Elena Zaretsky, PhD, CCC-SLP
  • University of Massachusetts Amherst

2
Agenda
  • Overview of specific skills required for literacy
  • Current study
  • Premises
  • Research Questions
  • Methodology
  • Results
  • Discussion
  • Future direction

3
Specific Skills Required for Literacy
Phonological Awareness as a Predictor for Reading
Acquisition
  • The relationship between phonological awareness
    (PA) and subsequent reading acquisition has been
    a focus of research since 1980.
  • PA, or sound segmentation skills, refers to the
    ability of consciously thinking about spoken word
    in terms of its components syllables, onsets and
    rimes, and individual phonemes, as well as
    manipulating these elements in a range of tasks.
  • Empirical evidence suggests that
  • PA is a significant predictor of success in early
    reading (Blackman, 1991),
  • there is a relationship between acquisition of
    alphabetical literacy and the development of PA
    (Catts, 1989).
  • preschoolers who show good sound segmentation
    skills tend to become good readers,
  • children who show poor skills in this area are
    likely to become less proficient readers (Goswami
    Bryant, 1990 Wimmer, Landerl, Linortner
    Hummer, 1992).

4
Learning to Read in Alphabetical System
  • Learning to read and write in the alphabetic
    orthography requires young learners to understand
    how the components of spoken language are
    represented by the orthographic system in the
    language of exposure.
  • PA by itself may not be enough to acquire
    spelling skills
  • Requires alphabetic principle, i.e.,
    phoneme/grapheme conversion

5
Bidirectional Relationship Between PA and
Learning to Read
  • Evidence from studies in the area of reading
    acquisition also suggests that the relationship
    between the sound segmentation skill and reading
    abilities in alphabetic orthography is
    bi-directional
  • PA will be enhanced by the exposure to print
    while influencing reading proficiency.
  • If formal reading instruction may be the
    triggering events in developing PA (Wesseling
    Reitsma, 1998), it is of interest to see the
    readiness level of children in the classroom
    before they start formal reading instruction.

6
Factors that Predict Reading Difficulties (Known
and Unknown)
  • Already known factors
  • PA (Share Stanovich, 1995)
  • naming skills (Wolf, 1991 Swan Goswami,
    1997b).
  • vocabulary (Gathercole, Willis, Emslie
    Baddeley, 1992).
  • The question still remains as to what underlying
    processes allow some children to acquire such an
    important skill as PA with ease, and why some
    other children have difficulties even at the
    earliest stages of reading acquisition.

7
Possible Underlying Processes
  • One possible explanation - good phonological
    representation of lexicon (vocabulary) children
    already have (Elbro, Nielsen, Peterson, 1994,
    Metsala, 1999).
  • Children who have difficulties performing PA
    tasks may have less refined, imprecise system of
    phonological representations (Elbro, 1996
    Wesseling Retsma, 2001).
  • Children who are poor readers may have somewhat
    weaker receptive vocabularies (Gathercole,
    Willis, Emslie Baddeley, 1992).

8
Can we explain the underlying processes?
  • Correlation between vocabulary and phonological
    representations suggests a possible mechanism
    making this connection possible
  • infants may process the initial phonological
    information encoded in the words as a whole
  • segmentation of lexical items for accurate
    representation of words presented auditorily is a
    later developmental process (Fowler,1991)
  • The quality of phonological representations may
    be directly related to how much phonological
    information one may hold to represent variety of
    lexical items.

9
Verbal Working Memory (VWM) as Possible
Explanation for Deficits
  • One way to assess the relationship between early
    whole words representations and the more
    refined ability to segment words that appears
    later may be through the application of the
    Baddeleys model VWM.
  • This model proposes that the phonological loop,
    also known as phonological memory (PM), is
    essential for establishing phonological
    representations that consequently will promote
    vocabulary acquisition.
  • PM is assessed through the nonsense word
    repetition task (NWR).
  • Baddeley (2005) argues for the validity of
    nonsense word repetition as it closely resembles
    the natural situation facing any language leaner.

10
VWM and Vocabulary Acquisition
  • Research has demonstrated, that young children
    who have better ability to repeat nonsense words
    turn out to be better learners of new vocabulary
    and vice versa, thus establishing the connection
    between phonological representation and good
    vocabulary skills (Gathercole Baddeley, 1990b).
  • The ability to repeat nonsense words turned out
    to be a distinguishing factor between the typical
    language developing population and subgroups of
    children with specific language impairment (SLI)
    (Mongomery, 1995 Gathercole Baddeley, 1990a,
    Conti-Ramsden, 2003).

11
Other Views on the Interaction Between
Vocabulary, PA and Ability to Repeat Nonwords
  • Chiat (2006) argues that children come to the
    nonsense word repetition with already established
    underlying phonological representations.
  • This interconnectivity has been established by
    previous research (Snowling, Chait, Hulme,
    1991).
  • Metsala (1999) found that children with larger
    vocabularies were more likely to perform better
    on nonsense word repetition tasks.
  • There is no clear consensus to what degree
    nonsense word repetition influences PA skills.
  • Baddeley (2005) suggested that nonword repetition
    and PA skills are predictors for future reading
    performance
  • Strongly argued in favor of PM rather than
    phonological processing abilities (Snowling et
    al.,1991), as a better specified hypothesis for
    the acquisition of phonological skills.

12
Other Factors that May Influence Establishment of
Phonological Representations WM Capacity
  • Baddeleys model of VWM suggests that complex
    language processing (reading is considered to be
    such a process) not only relies on PM, but
    requires the support of capacity based central
    executive component (WM capacity).
  • The central executive component allows one to
    store some information while integrating new
    information to achieve full comprehension of
    complex linguistic material
  • larger capacity allows for better comprehension.
  • WM capacity is assessed by a complex memory span
    (CMS) paradigm storing some information while
    being engaged in concurrent processing activity
    Competing Language Processing Task (CLPT).
  • CLPT requires a subject to make a semantic
    judgment on a sequence of individual sentence and
    then recall the last word of each sentence within
    the sequence.

13
How WM Capacity May Relate to NWR, Language and
Reading?
  • Gathercole (2006) suggested that NWR, as a
    measure of PM, may not be sufficient enough to
    account for future deficits in language abilities
    and may depend on WM capacity.
  • There is evidence, that poor performance by
    children with SLI on NWR is related to
    significantly diminished WM capacity (Zaretsky,
    2003).
  • Current research is actively studying
  • the inter-relationship between the PM, WM
    capacity, and the ensuing performance on language
    tasks by different groups of children (Swanson,
    1993 Marton Schwartz, 2003).
  • Relationship between NWR and measure of WM
    capacity in typically developing children as a
    possible predictor for PA and subsequent reading
    acquisition is an important area of research.

14
The Significance for Identifying the Interaction
Between WM capacity, PM, PA and Vocabulary for
Reading
  • Based on the reviewed previous research, there is
    a need to investigate the linguistic and
    cognitive mechanisms that relate to the
    acquisition of the PA, (Gathercole Baddeley,
    1989), as well as the role of PM and WM capacity
    in the process of reading acquisition.
  • This research was designed to answer specific
    questions that may predict success in reading
    acquisition based on the performance of typically
    developing kindergarteners on the tasks that
    measure PA, PM and WM capacity, vocabulary and
    early literacy skills.

15
Research Questions
  • Our specific questions are as follows
  • a) Is there a correlation between PM, WM capacity
    and vocabulary?
  • b) Is there a correlation between PM, WM capacity
    and PA?
  • c) Is there a correlation between PM, WM capacity
    and early literacy skills?
  • d) To what degree do PM and/or WM capacity
    predict PA skills?
  • e) To what degree do PM and/or WM capacity
    predict early reading (decoding) and spelling
    skills prior to the start of formal reading
    instructions?

16
Current Study
  • Participants
  • 21 kindergarten students between 51 and 61
    years of age (M55, SD.32)
  • Typically developing language abilities
  • All children passed school language screening
  • Monolingual speakers of English

17
Methods Tests administered
  • PPVT, receptive vocabulary
  • The Phonological Awareness Test, phonological
    awareness
  • Segmenting, blending, rhyming, substitution (with
    manipulatives)
  • Competing Language Processing Test, working
    memory capacity
  • 50 item Nonword Repetition Task, Phonological
    Memory
  • Early Reading Screening Inventory
  • Alphabet Knowledge (upper case and lower case
    recognition, production)
  • Invented Spelling
  • Basal Word Reading
  • Decoding, CVC Words

18
Correlation of Phonological Memory, Working
Memory Capacity, and PPVT
r.695, plt.001
r.415, p.06
19
Correlation of PM and WM Capacity
r.598, p.004
20
Results Correlations of PM and PA
  • Correlations of PAT Subtest Scores
    and NWR
  • PAT Total Rhyme
  • r.609, p.003
  • PAT Rhyme Discrimination
  • r.617, p.004
  • PAT Phoneme Deletion
  • r.471, p.03
  • PAT Segmentation r.604, p.004
  • PAT Blending Phonemes
  • r.449, p.04
  • PAT Substitution w/ Manipulatives
  • r.456, p.03

r.52, p.01
21
Correlation of WM Capacity and PA
  • Correlations of PAT Subtests with WM Capacity
  • PAT Total Rhyme
  • r.730, plt.001
  • Rhyme Discrimination r.465, p.039
  • Rhyme Production r.567, p.005
  • Phoneme Segmentation r.668, p.001

r.52, p.01
22
Correlation of PM, WM Capacity and Early Literacy
Skills
  • PM and WM Capacity did not correlate with early
    literacy skills
  • PM did not correlate with any of the reading and
    spelling skills
  • WM capacity did not correlate with any of the
    reading and spelling skills

23
Do PM and WM predict phonological awareness?
  • Linear regression was conducted with PA Composite
    as dependent variable
  • PPVT, WM Capacity and PM were independent
    variables
  • R2.414, df 3, F4.005, p.025
  • NWR accounted for 32.6 of the variances
  • PPVT accounted for 38.1 of the variances
  • WM Capacity accounted for 6.1 of the variances

24
Do PM and WM Capacity predict early literacy
skills?
  • Our results showed no correlation between PM or
    WM and early literacy skills
  • Alphabet recognition (Upper and lower case)
  • Alphabet production (writing)
  • Invented spelling
  • Basal word reading
  • Decoding

25
Discussion
  • Only WM Capacity correlated with vocabulary
  • PM (as measured by NWR) - did not
  • Both PM and WM Capacity strongly correlated with
    Composite Phonological Awareness Scores
  • Specific PAT subtests correlated with PM and WM
    Capacity
  • rhyming, deletion, blending, segmentation,
    substitution with manipulatives

26
PM and WM Capacity relationship to early literacy
skills
  • Neither PM nor WM Capacity correlated with early
    literacy skills
  • Literacy involves skill of phoneme-grapheme
    conversion
  • Phoneme-grapheme correspondences strengthen with
    exposure to reading and spelling instruction

27
Memory and Vocabulary Contributions to PA and
Early Literacy Skills
  • PM, WM Capacity and PPVT accounted for variance
    in Composite PA Scores
  • PM and PPVT contributed the most to the variance
    in Composite PA Scores
  • 32.6 and 38.1 respectively
  • WM Capacity added little to the variance in PA
    scores, 6
  • WM Capacity and PM did not contribute to measures
    of early literacy skills

28
Conclusions
  • PA skills strongly rely on PM and WM Capacity
  • The PA subtests that most correlated with memory
    tasks were rhyme, phoneme deletion, phoneme
    blending, and phoneme substitution
  • PA also strongly relies on vocabulary skills
  • Although this was not our original research
    question, we found that PPVT scores correlated
    with PAT rhyming (r.634, p.002) and blending
    (r.470, p.03)
  • The role of vocabulary in PA should be further
    investigated
  • PM and WM Capacity were strongly correlated
  • This supports the view that NWR requires more
    cognitive resources than previously thought
  • Memory skills did not play a role in early
    literacy skills
  • These children were not readers and lacked
    critical skill to convert phonemes to graphemes

29
Future Directions
  • Follow children longitudinally to the end of
    kindergarten or beginning of first grade to see
    if Memory and PA abilities predicted success in
    acquisition of early literacy skills
  • Investigate the role of vocabulary in
    phonological awareness skills
  • Investigate memory and PA skills in early
    literacy skills of bilingual children and
    children with language impairment

30
Acknowledgements
  • AD Henderson University School, Florida Atlantic
    University
  • Pelham Elementary School, Pelham, MA
  • Department of Communication Sciences and
    Disorders at FAU
  • Department of Communication Disorders, UMass
    Amherst
  • Research Assistants at FAU and UMass Amherst
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