Hearing Acuity, Background Noise and ADHD by Heather McDonald 
                   hardofhearingchildren.com by PAM Candlish MLS
"What did you say?" "Eh?" "WHAT did you say?" "MM?" "WHAT DID YOU SAY?" oh "PARDON ME!"

Comparison of mild hearing loss and ADHD, a thesis by Heather McDonald.

Heather McDonald
E-mail Address(es):
h.mcdonald@optusnet.com.au

 

As Heather learned that her son had a mild hearing loss, and that ADHD was also a consideration. Heather was fortunate to be in the position of access to information at her university on research from Carol Flexer and others which was right on for Heather's child. Heather noticed the similarities between ADHD and mild hearing loss coping.

So Here's is an introduction to Heather McDonald's research which might be vitally important for you to know.


How I became interested in mild hearing loss and it's similarity to ADHD.

by Heather McDonald copyright 2004 Australia

Flexer's Wisdom


    Unfortunately, many slight hearing impairments are not even identified due to less than             favourable hearing screening environments and lack of information about the hearing sensitivity a child needs to learn language and to acquire knowledge.
-Carol Flexer.  Facilitating Hearing and Listening in Young Children (San Diego, California: Singular Publishing Group,1994 p.37).

Many children whom have slight hearing impairments are not identified.

As the quote by Flexer (1994) states, many children whom have slight hearing impairments are not identified. I was encouraged to investigate the area of ‘hearing acuity against background noise’, because of the very situation that the quote by Flexer describes. My youngest child was 6 years old, in Grade 1, and described by the teacher as underachieving academically.

He would wait for other students

In addition to other observations, his teacher complained that when she gave the whole class instructions, he would wait for other students to get the right books for him, and to tell him what to do. The teacher mentioned that he might have a central auditory processing disorder (CAPD). However, I felt that as he could understand language perfectly well, when talking one-to-one in a relatively quiet environment, that his ‘central auditory processing’ was fine, and that something else must be causing the problem in the classroom. None-the-less I did investigate the possibility of having a CAPD assessment, but as he was only 6 years old he was ineligible to have one at that stage.

Various Testing

As he was underachieving I investigated the various sensory possibilities – he had eye tests by a behavioural optometrist and hearing tests by various providers. During the following 10 months, I had the opportunity to witness seven audiological ‘assessments’. Three were with the ‘local government health service’ (their standard procedure), two with various government funded ‘Hearing Service Providers’, the sixth was conducted on an automatic computerised audiometer at the ‘Occupational Heath Office’ of an Industrial company, and the seventh was conducted by an audiometrician employed by an Ear, Nose and Throat Specialist.

No information regarding the educational implications or remedial strategies for such a loss.

These experiences led me to question the validity of the audiological procedures, including the subjectivity of the audiological examination and the use of the ‘pure-tone’ test in silence as the adjudicator of ‘hearing loss’. In particular this led me to question the validity of audiological results in regard to their valid extrapolation into the students educational environment. Although the audiograms varied, most of them showed a ‘minimal to mild sensorineural hearing loss’ (SNHL) with poorer hearing in the higher frequencies of which all the audiologists/audiometricians were unconcerned about - and as such did not give me any information regarding the educational implications or remedial strategies for such a loss. This was the case, even when they were told of my concerns about his behaviour in school, and the fact that he has a slight speech impediment, where he seems to speak with an ‘Irish accent’ (we are not Irish), and he is unable to say a few vowel sounds (e.g. ‘ir’ as in bird). After one of the tests, my son was given a referral for a CAPD test. He was put on the waiting list for a free CAPD test which was, at that time, a wait of more than 12 months.

Goldman-Fristoe-Woodcox Test of Auditory Discrimination (GFW)

I then came across the Goldman-Fristoe-Woodcox Test of Auditory Discrimination (GFW), which I administered to him, so that his hearing acuity against background noise could be established. The results were very revealing. He made only one error on the quiet subtest and attained a percentile rank of 77 for his age, however on the noise subtest he made 14 errors – with this result he was discriminating words in noise worse than 82% of children his age, as per the GFW norms.

No hearing aids thus no FM

After doing further reading, it was evident that children with either CAPD or minimal hearing loss, usually benefited from either a personal or a classroom sound-field system, so I tried to get access to one. This was impossible as the cost to me would have been over $1,000 and access to a “free trial” of one school term with a personal FM system was restricted to positively tested CAPD children. Only children whom already had hearing aids were eligible for free systems through Australian Hearing. Thus, nothing was done. The next year he moved up to grade 2, his teacher and classroom changed – however, the classroom he moved to was a very reverberant one and he continues to be challenged academically and socially.

These events which led to many unanswered questions stimulated my interest in this area and encouraged me to investigate educationally significant hearing loss and the incidence of children who have difficulty hearing against background noise.

 

Appendices

by Heather McDonald copyright 2004 Australia

sensorineural hearing loss

Conductive hearing loss

unilateral hearing loss

Central Auditory Processing

ADHD


 

) REFERENCES

by Heather McDonald copyright 2004 Australia

American Academy of Pediatrics (2000) Clinical Practice Guideline: Diagnosis and Evaluation of the Child With Attention-Deficit/Hyperactivity Disorder, Pediatrics, 105(5), pp. 1158-1170.

American Speech-Language-Hearing Association (1995) Position statements and guidlines for acoustics in educational settings., Asha, 37(Suppl.14), pp. 15-19.

Barkley, R.A. (1997) ADHD and the Nature of Self-Control (New York, NY, Guilford Press).

Bellis, T.J. (1996) Assessment and management of central auditory processing disorders in the educational setting: from science to practice. (California, Singular Publishing Group).

Bergstrom, L. (1988) Medical Problems and their Management, in: R.J. Roeser & M.P. Downs (Eds) Auditory Disorders in School Children (New York, New York, Thiele Medical).

Blair, J.C. (1996) Educational Audiology, in: F.N. Martin & J.G. Clark (Eds) Hearing Care for Children (Needham Heights, MA, Allyn & Bacon).

Cognitive Concepts (2002) Earobicswww.earobics.com

Crandell, C.C. & Smaldino, J.J. (1995) Speech Perception in the Classroom, in: C.C. Crandell, J.J. Smaldino & C. Flexer (Eds) Sound-Field FM Amplification: Theory and Practical applications (San Diego, California, Singular Publishing Group Inc.).

Diefendorf, A.O. (1996) Hearing Loss And Its Effects, in: F.N. Martin & J.G. Clark (Eds) Hearing Care for Children (Needham Heights, MA, Allyn & Bacon).

Dingle, A.F., Raza, S.A. & Phillips, J.J. (1997) Otitis Media with effusion: a disability or not?, Clinical Otolaryngology, 22(5), pp. 463-464.

Ferre, J.M. (1997) Processing power: A guide to CAPD Assessment and Management (San Antonio, Texas, The psychological corporation).

Finitzo-Hiever, T. & Tillman, T.W. (1978) Room acoustics effects on monosyllabic word discrimination ability for normal and hearing-impaired children, Journal of Speech and Hearing Research, pp. 440-458.

Flexer, C. (1994) Facilitating Hearing and Listening in Young Children (San Diego, California, Singular Publishing Group, Inc).

Flexer, C. (1995) Rationale for the use of sound-field FM amplification systems in classrooms, in: C.C. Crandell, J.J. Smaldino & C. Flexer (Eds) Sound-field FM Amplification: Theory and practical applications (San Diego, California, Singular Publishing Group Inc).

Glasziou, P.P., Mar, C.B., Sanders, S.L. & Hayem, M. (2001) Antibiotics for acute otitis media in childrenCochrane Review

Halasz, G. & Vance, A.L.A. (2002) Attention deficit hyperactivity disorder in children: moving forward with divergent perspectivesThe Medical  Journal of Australia).

Harris, D.P. (1996) Central Auditory Processing Disorders in Children: Are we Listening?, in: F.N. Martin & J.G. Clark (Eds) Hearing Care for Children (Needham Heights, MA, Allyn & Bacon).

Hay, D.A. & Levy, F. (2001) Implications of genetic studies of attentional problems for education and intervention, in: F. Levy & D.A. Hay (Eds) Attention, Genes, and ADHD (East Sussex, Brunner-Routledge).

Hicks, C.B. & Tharpe, A.M. (2002) Listening Effort and Fatigue in School-Age Children with and without Hearing Loss, Journal of Speech Language & Hearing Research., 45(3), pp. 573-584.

Meyer, K. (2003) In class hard of hearing children face misunderstanding, ODYSSEY, (WINTER), pp. 18-21.

Northern, J.L. & Downs, M.P. (1991) Hearing in Children (Baltimore, Williams and Wilkins Co).

Palmer, C.V. (1997) Hearing and listening in a typical classroom, Language, Speech, and Hearing Services In Schools, 28, pp. 213-218.

Pittelkow, K. (2001) CAPD and the gifted child: The relevance of central auditory processing deficit to gifted education., Gifted, 121(1), pp. 30-34.

Rey, J.M., Walter, G. & Hazell, P. (2000) Psychotropic drugs and preschoolersMedical Journal of Australia).

Roeser, R.J. (1988) Audiometric and immittance measures: principles and interpretation, in: R.J. Roeser & M.P. Downs (Eds) Auditory Disorders in School Children: Identification, Remediation (Stuttgart, New York, Thieme Medical Publishers).

Roeser, R.J. & Northern, J.L. (1988) Screening for hearing loss and middle ear disorders, in: R.J. Roeser & M.P. Downs (Eds) Auditory Disorders in School Children: Identification, Remediation (Stuttgart, New York, Thieme Medical Publishers).

Rowe, K. & Rowe, K. (2000) Auditory Processing Effects on Early Literacy and BehaviourStudents with disabilities Conference, Exhibit No.36, Appendix 3,p.2 (Melbourne,

Rowe, K. & Rowe, K. (2002) What matters most:Evidence-based findings of key factors affecting the educational experiences and outcomes for girls and boys throughout their primary and secondary schoolingSupplementary submission to House of Representatives Standing Committee on Education and Training: Inquiry Into the Education of Boys

Sawyer, M.G., Rey, J.M., Graetz, B.W., Clark, J.J. & Baghurst, P.A. (2002) Use of medication by young people with attention-deficit/hyperactivity disorder,Medical Journal of Australia).

Scientific Learning Corporation Fast ForWord

Smaldino, J.J. & Crandell, C.C. (1995) Acoustic Measurements in Classrooms, in: C.C. Crandell, J.J. Smaldino & C. Flexer (Eds) Sound-Field FM Amplification: Theory and Practical Implications (San Diego, California, Singular Publishing Group Inc).

The Davis Center (2003) Auditory Integration and Sound Therapies(www.thedaviscenter.com,

 

 

Hearing Acuity, Background Noise and ADHD

by Heather McDonald

copyright Heather McDonald  Australia 2004

h.mcdonald@optusnet.com.au
 

CHAPTER 1.

INTRODUCTION

What students hear impacts on what they learn

Researchers have repeatedly found that the quantity and quality of what students hear has a major impact on what they learn. Ross states this succinctly:

It seems so obvious. Put a child in a position where he or she cannot hear the classroom lessons and the child will not learn them. Put such a child in a position where only some portion of the signal is clearly, and inconsistently, audible and the child’s performance will be variable. Some children will do well; some may do nearly or just as well, but will have to expend a great deal more effort; some will get by using compensatory strategies and cues and a highly motivated approach to learning; some will find their attention wavering after a few hours and "tune-out" and others will fall by the wayside, being unable to integrate the acoustic and linguistic fragments they hear completely into a meaningful gestalt.

Logical relationship between hearing acuity and the acoustical environment

Ross states his surprise when intelligent, committed and sensitive child focused professionals have difficulty with this concept . This apparent enigma regarding the logical relationship between the individuals hearing acuity and the acoustical environment is evident when considering both classroom learning and classroom behaviour. The reason behind this may be because of the "...ambiguous, invisible, underestimated and often unidentified acoustic filter effect of hearing problems" . Flexer argues that the fact that children’s inability to hear in a classroom is underestimated, could be because many children appear to behave in a way that indicates they can hear, however these same children may not be able to hear an intelligible sound - instead they may "...be responding to the intonation patterns rather than to the specifics of an utterance .

Flexer reminds us that the inability to hear "well enough" becomes a significant educational problem because mainstream classrooms are auditory-verbal environments:

Instruction is presented through the speech of the teacher with the underlying assumption that pupils can hear clearly and attend to spoken communication. To the extent that students cannot consistently and clearly hear the teacher, the entire premise of the educational system is undermined. (p.4).

 

Factors Affecting Classroom Communication

There are many factors affecting classroom communication, some of these concern the personal qualities that listeners bring to the classroom and other factors concern the classroom environment.

 increased difficulty when hearing-against-background-noise.

Certain personal qualities will put some children at greater risk of increased difficulty when hearing-against-background-noise. Crandell, Smaldino and Flexer assert that it is well recognised that listeners with sensorineural hearing loss have greater difficulty understanding speech in noise than do normal hearers. However, they also mention that researchers have identified a number of populations of children with ‘normal-hearing sensitivity’ who have also been found to experience greater speech perception difficulties in the classroom environment. These listeners include young children, children with attention problems and:

children with fluctuating conductive hearing loss, learning disabilities, articulation disorders, central auditory processing deficits, language disorders, minimal degrees of sensorineural hearing loss (pure-tone sensitivity from 15-25 dB HL), unilateral hearing loss, developmental delays, and children for whom English is a second language.

classroom acoustics is the signal-to-noise ratio,  reverberation times and the distance the student is from the signal

Several environmental factors affect classroom communication. These form part of the classroom acoustics. Included in classroom acoustics is the signal-to-noise ratio (or alternatively referred to as the speech-to-noise ratio), reverberation times and the distance the student is from the signal . Strict structural guidelines regarding acoustical building materials and classroom layout has resulted from research of the effects of classroom noise on learners, with the American Speech-Language-Hearing Association (ASHA) recommending unoccupied classroom noise levels to be equal to or less than 35 dBA. This organisation also recommend that the maximum average reverberation time in unoccupied learning spaces be between 0.4-0.6 of a second.

typical classroom noise levels far exceed this ASHA recommended level

Crandell & Smaldino reviewed the literature on average classroom noise levels and found that typical classroom noise levels far exceed this ASHA recommended level with a range from 41-51 dBA.. However, the most important environmental factor that affects classroom communication is the signal-to-noise ratio. The American Speech-Language-Hearing Association recommends a speech to noise ratio (SNR) of at least +15 dB in typical classrooms . Research has found that the range of SNRs for classrooms has been reported to be from -7 dB to +5 dB (Crandell & Smaldino, 2000 p364).

 

Educational Implications

A comprehensive summary of common causes, identification, audiological, behavioural, communicative and educational symptoms and various interventions are detailed in appendix A. However Table 1.1 below, provides a short summary of what researchers have found.

 

Table 1.1 Educational Implications for children who have difficulty hearing against background noise

EFFECT

REFERENCE

Lower achievement scores

Lower verbal IQ

Poorer reading, spelling and maths

Rosenbuerg and Blake-Rahter

Crandell, Smaldino and Flexer

Diefendorf

Lower measures of social maturity

Diefendorf

Between 10% - 40% of classroom instruction missed

Blair

Helplessness

Diefendorf

Confusion

Diefendorf

Less independence in the classroom

Flexer

Self-described embarrassment

Diefendorf

Fatigue

Hicks and Tharpe

Reduced ability to benefit from passive learning – need to be taught directly what other students ‘pick up’

Flexer

Higher frequency of enrolment in special education classes

Diefendorf

Sarff et al.

Poorer behaviour, attention, concentration.

Rosenbuerg and Blake-Rahter

Flexer

Children who cannot hear clearly, for whatever reason, may react to this by actively tuning out the distracting and confusing stimuli.

As can be seen from the above table links have been made between children’s inattentive behaviour and classroom noise. Children who cannot hear clearly, for whatever reason, may react to this by actively tuning out the distracting and confusing stimuli. Mussen makes the observation that "the effort of listening to half-heard signals is always great. The...child with partial hearing may not expend the energy required to attend selectively".

learned inattentiveness to sound

Other researchers have postulated that one of the possible consequences of fluctuating hearing loss in children is a "learned inattentiveness to sound" . Smaldino and Crandell suggest that

...[learned] inattentiveness [to sound] is also a likely consequence for children with minimal SNHL [sensorineural hearing loss], attention deficit disorders, unilateral hearing loss, language and speech disorders, and children with a central auditory processing deficit".

The relationship between hearing and attention deficit disorder has been made by some audiologists and ‘sound’ therapists . Table 1.2 below (Phonic Ear, 1996) reveals the behavioural similarities between mild hearing loss and Attention Deficit Disorder. With such similarities it is possible that some children are being misdiagnosed. However, I could not locate any research that specifically tested this hypothesis.

 

Table 1.2 Similarities between Mild Hearing Loss and Attention Deficit Disorder

Mild Hearing Loss

Attention Deficit Disorder

Inappropriate responses Blurting out answers before questions have been completed
Difficulty following directions Difficulty following through on instructions and in organizing tasks
Doesn’t complete assignments Frequently fails to finish schoolwork, or works carelessly
Difficulty sustaining attention during oral presentation Difficulty in listening to others without being distracted or interrupting
Impulsive Acts on the spur of the moment
Frequently asks for repetition Focuses only with frequent reinforcement or is under very strict control
Academic failure Multiple problems with school work and social activities
Poor self-concept Isolated and low self esteem
Doesn’t seem to listen "Can’t sit still and listen!"

 

Detection of Hearing Acuity Against Background Noise

Current standard audiological assessments are conducted by either an audiologist or an audiometrist. They are conducted in sound proof rooms using air conduction and pure tones at different frequencies against a background of silence. The clinician may also test bone conduction, and speech stimuli in silence . Typically the frequencies measured are 500, 1000, 2000, 4000 and 8000 Hertz. Frequencies are a measure of the pitch or how high or low the sound is. The intensity of the sound is the loudness. This is measured in decibels (dB). The more decibels, the louder the sound .

pure-tone hearing assessments provide limited useful data

There is a growing body of research that provides evidence that pure-tone hearing assessments provide limited useful data regarding a child’s ability to listen in a classroom situation. As the following quote by Flexer states, many of the conditions that predispose children to having great difficulty hearing in a normal classroom situation remain undetected due to the problems with standard audiometry:

bullet

unfortunately, many slight hearing impairments are not even identified due to less than favourable hearing screening environments and lack of information about the hearing sensitivity a child needs to learn language and to acquire knowledge.

bullet

labels can be misleading,

Once a hearing loss is detected the labels normal, minimal or mild are allocated to describe the severity of the loss. These labels can be misleading, as they are often used by different audiologists and researchers to describe different hearing levels. An example is provided in table 1.3 below.. This table demonstrates three slightly different classification schedules for children’s hearing.

Table 1.3 Children’s Hearing Sensitivity Classification

Pure-tone

Audiogram result

Classification from Pure-tone

Audiogram result

Classification by Pure-tone

Audiogram result

Classification from ASHA
0 to 15 dB Normal 0 to 15 dB Normal -10 to 15dB Normal
15 to 30 dB HL Mild 16 to 25 dB HL Minimal 16 to 25 dB Slight loss/ Minimal loss
31 to 50 dB HL Moderate 26 to 40 dB HL Mild 26 to 30 dB Mild loss
51 to 80 dB HL Severe 41 to 55 dB HL Moderate 31 to 50 dB Moderate
81 to 100 dB HL Profound 56 to 70 dB HL Moderately Severe 51 to 70 dB Moderate / Severe Loss
    71 to 90 dB HL Severe 71 to 90 dB Severe Loss
    91 dB HL + Profound 91 dB or more Profound Loss

pure-tone tests in silence been questioned.

In addition to the lack of uniformity of the labels used to describe hearing levels, the reliability of pure-tone tests in silence have also been questioned. Murray made the following comment to the Standing Committee on Employment, Education and Workplace Relations on the Education Of Boys:

We are advocating that the headphone test [standard audiometry] is a very subjective test. You put the headphones on and you are told to listen for sounds and press the button and to take as long as you like to press the button and you are then asked, ‘Do you or don’t you hear it?" It is very confusing...

There are many audiologists and researchers who question the validity of the use of the pure-tone audiogram for assessing real life listening situations. This is because the audiogram provides no information on the quality of audition present at these levels; it merely indicates the dividing line between hearing and not hearing .

Flexer (1994,p 36) states that

A child may appear to hear well in a soundproof audiological test room or a quiet one-to-one communicative situation, but not hear equally well in a relatively noisy home or school setting.

Auditory System analyses the complex sound waves arising from this ‘noise

Plomp , questions the validity of the physics behind testing ‘pure tones in silence’. He notes that there is no such thing as pure-tones in real life listening. The auditory system usually operates in noise and that one of its main functions is to analyse the complex sound waves arising from this ‘noise’. Plomp states that processes involved in the perception and analysis of such complex mixtures cannot be revealed by the study of simple stimuli under silent and unimodal conditions. Plomp proposes that this "microscopic" approach has provided interesting but also inaccurate results and needs to be combined with the "macroscopic" information gathered by more ‘realistic’ hearing indicators.

 otitis media with effusion before their first birthday,

Other studies have found that pure tone tests overlook children who have difficulty hearing against background noise. Gravel, Wallace and Ruben (1996) have found that children who experienced otitis media with effusion before their first birthday, had greater difficulty hearing against background noise than children who did not suffer otitis media with effusion at such a young age, and yet they found no differences between the groups when tested on the audiological pure tone tests.

Fatigue not included

Hicks and Tharpe (2002) point out that even hearing assessments that test word recognition against background noise, a more valid test of educational hearing ability than pure-tone tests, fail to capture the children who fatigue in the process of listening. Therefore, any currently used hearing assessments will miss many of the children who need a better signal-to-noise ratio in order to reduce fatigue.

boys process speech sounds more slowly

In addition recent research undertaken at National Acoustic Laboratories (NAL) using otoacoustic emissions indicates that from the age of four years, boys have significantly reduced physiological capacity to process auditory ‘streams’ of sound such as speech. That is, compared with girls, boys process speech sounds more slowly . It is evident from this research that otoacoustic emissions provide a more sensitive assessment of hearing than pure-tone tests.

Considering the above criticisms, and the fact that it is well established that standard audiometry procedures using pure tone tests do not test for hearing acuity against background noise , raises the question of how this ‘real life’ listening ability is tested and who conducts these tests and who has access to this assessment.

central auditory function

The ability to hear against background noise has been considered a central auditory function rather than a sensory function, thus audiologists who assess central auditory processing deficits use some specific tests for this purpose. Ferre and Bellis include the detection of children with difficulty hearing against background noise as part of their Central Auditory Processing Disorder (CAPD) testing battery. Central Auditory Processing tests are used to test children thought to have difficulty understanding the meaning of incoming sounds Central auditory processing is not considered an impairment of hearing reception or reduced hearing sensitivity, as children are screened so that only the children with ‘normal’ hearing sensitivity are given CAPD tests. This means that in current practice a child is only screened for their ability to hear-against-background-noise when they have a CAPD test. This anomaly between the availability of standard audiological testing compared to the more ‘realistic’ (and therefore more informative) tests of hearing ability formed part of the motivation for conducting the present study.

question the validity of audiological results in regard to their valid extrapolation into the students educational environment.

The present study was undertaken due to my interest in the controversies, mentioned above, surrounding audiological tests, classroom acoustics and the hearing abilities each individual brings to the classroom. My initial interest was stimulated from the experience of my son, whom was 6 years old and in Grade 1, when he was described by his teacher as underachieving academically. In addition to other observations, his teacher complained that when the whole class was given instructions, he would wait for other students to get the right books for him, and to tell him what to do. During the following 10 months, I had the opportunity to witness seven different audiological assessments. These experiences led me to question the validity of the audiological procedures, including the subjectivity of the audiological examination and the use of the ‘pure-tone’ test in silence as the adjudicator of ‘hearing ability’. In particular this led me to question the validity of audiological results in regard to their valid extrapolation into the students educational environment. Through my studies in Literacy, I learned of the Goldman-Fristoe-Woodcock Test of Auditory Discrimination (1970) (G-F-W), which did not require an audiologist to assess hearing acuity against background noise.

Aims and purposes

The aims and purposes of this study were to find out how many children in grades one and two of a typical Australian primary school, have difficulty hearing against background noise, and to determine if there were any behavioural effects of this difficulty as perceived by their teachers and parent(s)/caregiver(s). A further aim was to find out how much noise was generated in these classrooms during a normal school day during various activities.

The research setting

The research was conducted in a metropolitan state primary school in Adelaide. The school is situated in a lower socio-economic suburb. The 103 students who participated in this study were in either Grade 1 or 2. The age and ‘English-as-a-second language’ status was provided by the primary school, all other data came from the children, parent(s)/caregiver(s) or where applicable the teachers.

 

The Research Questions

The first major research question was to determine the percentage of children in an ordinary school population who, after at least one or more years of schooling, have difficulty hearing against background noise.

The second major research question was whether there was a relationship between a child’s hearing acuity against background noise, and their classroom behaviours as perceived by their teachers.

The third research question was whether there was a relationship between a child’s hearing acuity against background noise, and their behaviours at home as noticed by their parent(s)/caregiver(s).

The fourth research question was to determine the levels of background noise Australian school children were exposed to during various classroom activities.

CHAPTER 2

RESEARCH METHOD

PARTICIPANTS

The participants were obtained from a school population which was selected from a lower socio-economic area of Adelaide. There was a possible population of 127 children enrolled in grade 1 and 2 at this school, with all 127 given the opportunity to participate, through an addressed package to the parent(s)/caregiver(s) of each child. Contained in this package (see appendix B) were two letters of introduction about the study along with the parent(s)/caregiver(s) questionnaire and consent form. An initial total of 65 completed questionnaires and consent forms were returned within a few weeks of the initial ‘distribution’. A second distribution of the same package was sent in the same manner to the remaining 64 children and a further 39 children returned their consent forms and the completed parent(s)/caregiver(s) questionnaire. By the end of the study 103 children were administered the Goldman-Fristoe-Woodcock Test of Auditory Discrimination.

This method of sampling is considered an opportunity sample, however as the sample came from the whole school population of grade 1 and 2 children, extrapolation to other similar populations could be valid.

There were no significant differences in the gender breakdown of the participants with 49% being female and 51% male. Year One students comprised 54% of the participants with the remaining 46% being Year Two students. Ninety-three percent of the participants were aged between 6 years and 7 years 11 months. Students for whom English is a second language (ESL), comprised only 9% of the participants.

 

TEST INSTRUMENTS

Parent(s)/caregiver(s) Questionnaire

The parent(s)/caregiver(s) Questionnaire (appendix B) was developed by the researcher in consultation with my supervisor. Due to the time constraint of the Honours year, including the need to get multiple ethic committee’s approval for the use of the test instruments, the items were prepared after a preliminary survey of the literature on hearing loss, and central auditory processing deficits.

The questionnaire was divided into two sections, one on the incidence of hearing tests, hearing problems, speech or language difficulties, colds, ear infections, and whether the child had ever had a grommit placed in the ear. The second part of the questionnaire was a behavioural survey - labelled Listening. This section included 7 questions and originally employed a three point scale – Occasionally, Sometimes and Constantly.

Once the data had been collected an alpha test was conducted which indicated that internal consistency was high suggesting that all items were measuring a common domain. The items were found to be internally consistent with an overall alpha value of .6962 . By removing the question about Play, the alpha increased to .7342 . Test-retest reliability, construct and criterion validity of the measurements were not tested due to time constraints – however these could be tested in future studies.

 

Teacher Questionnaire

The teacher questionnaire (appendix B) was designed by the researcher in consultation with my supervisor. Due to the time constraint of the Honours year, including the need to get multiple ethic committee’s approval for the use of the test instruments, the items were made up after only a preliminary survey of the literature on hearing loss. Many of the items are similar to those in Berry which provides teacher tips for identifying a possible hearing impaired child. One of the notable exceptions is that Berry did not mention the mispronunciation of words as an indicator. Once the data had been collected an alpha test (see appendix C) was conducted which indicated that internal consistency was high with an alpha value of .863, suggesting that all items were measuring a common domain.

S.I.F.T.\E.R.

Subsequent to the development and implementation of the questionnaire an instrument called the S.I.F.T.E.R. has been located which was developed for teachers to use and was designed "...to sift out students who are educationally at risk possibly as a result of hearing problems." There are 15 items on the S.I.F.T.E.R instrument which are divided into five areas with 3 questions relating to each area. The five areas include: academics, attention, communication, class behaviour and school behaviour. Five Items on the fifteen item S.I.F.T.E.R are very similar to six of the items on the teacher questionnaire developed for this study. They include:

 

Table 2.1Similarities between the S.I.F.T.E.R Questionnaire and the Teacher Questionnaire

S.I.F.T.E.R items

Teacher Questionnaire items

This student...

4. How distractible is the student in comparison to his/her classmates? (attention)

...is easily distracted during class activities

6. How often does the student hesitate or become confused when responding to oral directions (e.g." Turn to page..." ) (attention)

...waits and observes what others are doing before starting?

10. How often does the student volunteer information to class discussions or in answer to teacher questions? (class participation)

...contributes to class discussions?

12. After instruction, does the student have difficulty starting to work (looks at other students working or asks for help)? (class participation)

...seeks guidance from others?

15. In general, how would you rank the student’s relationship with peers (ability to get along with others)? (school behaviour)

...plays with others at recess and lunch?

...works well in groups?

The S.I.F.T.E.R instrument has a five point scale, whereas the teacher questionnaire used a four point scale of never, occasionally, often and always. The additional behavioural items on the questionnaire developed for this study may have provided more precise information about the existence of a hearing problem – especially as the S.I.F.T.E.R. did not have an item regarding the mispronunciation of words. In addition academic results were deliberately left out of the present questionnaire as these can be caused by a multitude of factors (especially at this young age) and therefore could have confounded the data.

 

Goldman-Fristoe-Woodcock Test of Auditory Discrimination

The Goldman-Fristoe-Woodcock Test of Auditory Discrimination (G-F-W) was used in the present research project because of its design, construct validity, concurrent validity, internal-consistency, and test-retest reliability as purported in their manual that comes with the test (Goldman et al, 1970; pp15-31). Another reason for using this test was because it has been reported to be used extensively with children aged 4 years and over .

Because of the tests design, the authors state that

the effect of extraneous factors upon the test performance of subjects on the G-F-W has been reduced to the extent that any ambiguity which the subject experiences in the test situation would seem to reflect difficulty in auditory discrimination. (Goldman et al. 1970 p.9).

Controlling for factors other than auditory discrimination is a major concern for test developers, and the G-F-W (Goldman et al.,1970, p 7) test minimizes these by:

Using a different aspect of memory and avoiding the rather artificial type of auditory memory task found in many tests.

The adequacy of the stimulus materials in terms of meaningfulness and familiarity for the subject is evaluated through use of the training plates.

The administration of the two subtests is controlled through the use of a pre-recorded tape.

Thus it is expected that the use of the G-F-W was a valid and appropriate test to use with the present research sample because it was designed and normed against children of this age, and because it uses a pictorial presentation, requires the respondent to only point which eliminates an articulation variable and incorporates the use of a training procedure which moderates any special problems that may arise form unfamiliarity with any of the pictures .

 

Equipment

A standard tape player was used (Panasonic RX-FS430) without earphones. This was acceptable as the room was quiet. The G-F-W test manual recommends the use of high quality ear phones, however they state that it is also acceptable to use a speaker without any significant degradation of performance on the Noise Subtest, and it may result "...in somewhat poorer performance on the quiet subtest" (Goldman et al.,1970 p 10).

The volume control of the tape player was set at a comfortable level of loudness. It was calibrated to a level of 65 dBA as suggested (Goldman et al., 1970 p .12) using a Sound Level Meter and the calibration tone provided on the G-F-W pre-recorded tape.

 

DESIGN

Parent(s)/caregiver(s) were requested to agree to their child/rens participation in this study, and at the same time they were requested to complete a questionnaire about their child/ren(s) aural health history and ‘hearing’ behaviours. Out of a possible population of 127 children, 103 parents consented and returned the questionnaire.

The seven classroom teachers were requested to complete a questionnaire for 65 of these children. It was decided at the inception of the study to limit the number questionnaires for the teachers to complete. This was to ensure that the teachers would not be overtaxed with work, and therefore be able to give more energy to the completion of the questionnaires that they were given.

To approximate a random selection the teachers completed the questionnaires for all of the children whom had returned their questionnaire and approval form by the end of week 7 of Term 2. The teachers completed this task by the end of week 9, Term 2. In order to check for any bias in the group that was selected for the teacher questionnaire, a Chi Square analysis was completed on various attributes (see appendix E). There were no significant differences between the group of children who were selected to be reported on by the teachers and the children who were not reported on, in any of the attributes assessed e.g. difficulty hearing against background noise, whether they had ever had their hearing tested or had reported hearing or speech-language problems or number of ear infections. The only category that approached significance was gender with slightly more girls being represented than boys (55% girls and 45% boys; Χ2 = 3.3, df=1, p= .07)

The testing procedure

Students were taken from their class one at a time, and brought to a small open room at the side of the staff room. The staff room wasn’t in use during the testing and therefore the testing was done in quiet conditions. Most of the testing was conducted between 9.30am and 1pm, with only a small number of students tested between 1:45 and 2.15pm. This was partly due to concern that students could be affected by the time of day with students tested in the afternoon being more fatigued than the students tested in the morning.

After suitable rapport was gained with the student, the training procedure was started. This took about 8 minutes per student to complete. As instructed in the G-F-W manual, the students were given as much training as they required before testing (Goldman et al., 1970 p 9). Most children sped through this section as they understood all the vocabulary used. A small number of the younger children needed the ‘shack’, ‘cab’, and ‘tack’ word/picture associations to be trained. They all achieved mastery before starting the subtests.

Upon completion of the Training Procedure, the testing procedure was begun. The entire test procedure took 7½ minutes once the tape had been started. The Quiet Subtest was given first, with the instructions given to the child via the tape:

I will say a word. Then I want you to put your finger on the picture of the word I have said: Point to cash.....

After the 30 items were tested on the Quiet Subtest, the Noise Subtest commenced. Every child appeared to be listening carefully and trying hard-with many children leaning towards the sound source to ‘hear better’. After completion each child was asked what they thought of it and most said that it was ‘fun’ while others felt it was ‘a bit hard’ and some ‘easy’. At the completion the student could choose a sticker and was then asked to collect the next student from their class.

Scoring

Scoring was done by recording the number of errors on the response form (see appendix D). When a participant was unable to make a choice on a given test plate the examiner left the appropriate space on the response form blank and this was counted as an error in accordance with the manual procedures (Goldman et al., 1970 p 13).

 

Interpretation

The norms from appendix C were used for the present study as these are recommended by the authors to "...be of most use in research applications" (Goldman et al. 1970 p 14). They state that:

The norms presented in Appendix C presents percentile rank norms, the values of which have been calculated to the midpoint of each raw score interval. This is the generally accepted statistical definition of a percentile score." (Goldman et al., 1970 p 14).

The data was analysed using two cutting scores as recommended by the authors:

...that placing cutting scores for a group at around the 20th to 30th percentile will do a rather efficient job of selecting those subjects who have auditory discrimination problems while at the same time selecting a minimum of those who do not have auditory discrimination problems"

As auditory discrimination improves with age, children of different ages required a different number of errors in order to be classified as having an auditory discrimination difficulty. Table 2.2 shows how many errors were needed in order to be included in the group of children who had difficulty discriminating words against background noise (30th percentile) and those children with substantial difficulty discriminating words against background noise (the 20th percentile). Each subtest had a possible score of 30.

 

Table 2.2 Number of Errors required to be classified as having Difficulty and Substantial Difficulty Discriminating Words Against Background Noise.

AGE

Difficulty

30th percentile

Number of Errors

Substantial Difficulty

20th percentile

Number of Errors

5-6 to 5-11

14

15

6-0 to 6-5

13

14

6-6 to 6-11

12

14

7-0 to 7-11

11

13

8-0 to 8-11

11

12

The following table (Table 2.3) shows how many errors were needed in order to be classified as having difficulty discriminating words in quiet at both the 30th and 20th percentile. Each subtest had a possible score of 30.

Table 2.3 Number of Errors required to be classified as having Difficulty Discriminating Words in quiet conditions at the 20th and 30th percentiles.

AGE

Difficulty at

30th percentile

Number of Errors

Substantial Difficulty

20th percentile

Number of Errors

5-6 to 5-11

4

5

6-0 to 6-5

3

4

6-6 to 6-11

3

4

7-0 to 7-11

3

3

8-0 to 8-11

2

3

 

Reporting to the parent(s)/caregiver(s)

The percentile scores used to report to the parent(s)/caregiver(s) were the ones recommended "For General Use" by the G-F-W manual . The raw scores were converted to Percentile Scores To Upper Limit Of Score Intervals as per the norms presented in Appendix E (Goldman et al. 1970 p 30-31).

Parent(s)/caregiver(s) were given general information about hearing and classroom acoustics. Parent(s)/caregiver(s) of children with significant difficulties as detected within this current study, were offered specific advice.

 

Sound Level Measurements

A sound level measure (SLM) instrument Type 2 with an A rating and slow response, was used to determine the sound level measurement of the seven classrooms. The procedures advised by Crandell and Smaldino were followed. Readings were taken at various points within the seven classrooms, when the teachers were reading a standard book passage to the children, and in ‘silence’, both with and without air conditioning systems on. SLM’s were also taken when classes were involved in small group activities.

 

DATA ANALYSIS

The raw scores from the G-F-W were converted to the percentile scores. These percentile scores were then analysed using frequencies to determine the number of children with difficulty discriminating words against background noise. The percentile scores were then recoded to group all of the scores into two nominal groups -those children with a percentile score of 31 or more (coded with a 1) and those children with a percentile of 30 and below (coded with a 2). These groups were labelled "Children without difficulty hearing against background noise/Children with difficulty hearing against background noise". The percentile scores were recoded a second time to group all of the scores into two different nominal groups – those children with a percentile score of 21 or more (coded with a 1) and those children with a percentile of 20 and below (coded with a 2). This coding gave the categories of "Children without substantial difficulty hearing against background noise/ Children with substantial difficulty hearing against background noise".

Frequencies were also obtained for the data gathered from the teacher and parent(s)/caregiver(s) questionnaire. The coding scheme is detailed in appendix B.

Chi Square (Χ2 ) Tests were used to determine the relationship between the various nominal data categories. Due to the restrictions in the use of the Χ2 test , when the data was computed to have one degree of freedom (df) and the expected frequency in any of the cells were less than 5 or when there were more than 1 df and the expected frequency in more than 20% of the cells was less than 5, the Fisher’s exact test statistic was reported . Most of the statistics reported were for two–tailed tests, however if the one-tailed result was reported this was indicated.

Teacher responses and parent/caregiver responses each had four categories that the respondents could mark. However there were too few responses in some of the categories to compute the Chi Square statistic, so the data was combined and recoded. The teacher questionnaire categories Never and Occasionally were combined as was Often and Always. On the parent(s)/caregiver(s) questionnaire the response categories to the questions asked under Listening were combined – No and Occasionally were combined and Sometimes and Constantly were combined.

 

CHAPTER 3

RESULTS

Research Question 1

What percentage of children in an ordinary school population who, after at least one or more years of schooling, have difficulty hearing against background noise?

.

Seventy percent of the sample had difficulty hearing against background noise, and 38 percent had substantial difficulty hearing against background noise as noted in table 3.1 below.

Table 3.1 Results of the Goldman-Fristoe-Woodcox Test of Auditory Discrimination – Noise subtest

Percentage who had difficulty discriminating words against background noise (30Th Percentile) 1

70%

Percentage who had substantial difficulty discriminating words against background noise (20th Percentile) 2

38%

1 These percentages were determined by counting the number of children who obtained enough errors to qualify for the 30th percentile cut off according to the G-F-W norms. This effectively meant those children who had between 11 and 13 errors out of 30 test items depending on age.

2 These percentages were determined by counting the number of children who obtained enough errors to qualify for the 20th percentile cut off according to the G-F-W norms. This effectively meant those children who had between 13 and 14 errors out of 30 test items depending on age.

 

There were no statistically significant gender differences and difficulty discriminating words against background noise.

Testing word discrimination against ‘silence’ was included as the first subtest after the training procedure. The results are described in table 3.2.

 

Table 3.2 Results of the Goldman-Fristoe-Woodcox Test of Auditory Discrimination – Quiet subtest

Percentage who had difficulty discriminating words in quiet conditions at the 30Th Percentile 1

53%

Percentage who had difficulty discriminating words in quiet conditions at the 20th Percentile 2

37%

1 These percentages were determined by counting the number of children who obtained enough errors to qualify for the 30th percentile cut off according to the G-F-W norms. This effectively meant those children who had between 2 and 4 errors out of 30 test items depending on age.

2 These percentages were determined by counting the number of children who obtained enough errors to qualify for the 20th percentile cut off according to the G-F-W norms. This effectively meant those children who had between 3 and 5 errors out of 30 test items depending on age.

 

Research question 2.

Is there a relationship between a child’s hearing acuity against background noise, and their classroom behaviours as perceived by their teachers?

The results of Chi Square tests showed a statistically significant relationship was found between several of the behaviours as perceived by the classroom teachers, and the children with substantial difficulty hearing against background noise. The results pertaining to this group of children are in Table 3.3 below. The relationship between the questionnaire items and the DSM-IV classification of ADHD-Inattentive Subtype is included in the table and a ü is entered where an item could be classified as a behaviour that is classified as ADHD-I behaviour.

 

Table 3.3 Results of the Chi Square Test between the Teacher Questionnaire results and Children with SUBSTANTIAL difficulty hearing against background noise- the relationship between these behaviours and the DSM-IV Classification of ADHD-I subtype.

Questions answered by the Teacher.

This student:

More Likely

Less Likely

Significance

df

ADHD-I

Subtype

...contributes to class discussions?  

ü

p= .02

1

ü

...mispronounces words?

ü  

p= .03a

1  

...is easily distracted during class activities?

ü  

p= .03

1

ü

...seeks guidance from others?

ü  

p= .04

1

ü

...needs instructions repeated?

ü  

p=.04

1

ü

...waits and observes what others are doing before starting?

ü  

p=.08

1

ü

...needs to be reminded about what to do?

ü  

p=.11

1

ü

...plays with others at recess and lunch?  

ü

p=.13b

1

ü

...appears withdrawn in class?

ü  

p=.17b

1

?

...works well in groups?  

ü

p=.21

1

ü

...works well independently?  

ü

p=.35

1

ü

...talks loudly in groups?

ü  

p=.39

1  

...is disruptive in the class?

ü  

p=.74a

1

?

a Fisher’s Exact Test (2 sided)

b Fisher’s Exact Test (1 sided)

 

Research Question 3.

Is there a relationship between a child’s hearing acuity against background noise, and their behaviours at home as noticed by their parents?

Two of the Listening questions approached statistical significance, these are referred to in Table 3.4 below. Parents reported that they spoke louder (Χ2 = 2.48, df=1, p= .09); and that they speak more slowly (Χ2 = 2.03, df=1, p= .11) to children who had substantial difficulty hearing against background noise.

Table 3.4 Chi Square results between parent(s)/caregiver(s) questionnaire and children who have substantial difficulty hearing against background noise

Question

Χ2

df=

significance

When talking to your child –

...do you repeat instructions?

.004

1

p= .95

...do you speak more slowly?

2.03

1

p= .11b

...do you speak louder than you usually do?

2.48

1

p= .09b

...does your child respond to your voice when he/she is watching TV?

0.95

1

p= .33

Does your child misunderstand you?

0.28

1

p= .6

Has your child said he/she can’t hear the teacher very well?

2.25

1

p= .13

Does your child prefer to play alone or in groups?

0.38

1

p= .54

b Fisher’s Exact Test (1 sided)

 

Table 3.5 Descriptive statistics from the Parent(s)/Caregiver(s) Questionnaire and Chi Square results between parent(s)/caregiver(s) questionnaire and children who had substantial difficulty hearing against background noise

Questions

Number of Children

Percentage

Missing data %

Χ2

df=

signific-ance

Have had their hearing tested

77

75

0

.156

1

.69

Have poor hearing test results

8

8

6