Chris: Explaining spoon-making

Chapter one: Introductory level

Task one: Transcribe

Transcribe the clip, according to the published conventions (PDF, 158MB).

Response sheet - Chris (PDF, 137KB)

Use ‘A’ for utterances made by the adult, and ‘YP’ for utterances made by the young person.

Transcript conventions

The following conventions for transcribing speech are taken from ten Have, 2007, and are the conventions which we have used in our transcriptions.

Sequencing marks

[

A single left bracket indicates the point of overlap onset (where the second speaker begins speaking before the first has finished). For example:

A: did I tell you what happened yesterday when I went to the shop

B: [no what happened

=

Equal signs, one at the end of one line and one at the beginning of the next, indicate no 'gap' between the two lines: the second speaker begins speaking at the moment that the first speaker finishes.

Timed intervals

(0.0)

Numbers in brackets indicate elapsed time in silence by tenths of seconds. Thus, (5.6) is a silence of 5 seconds and 6-tenths of a second.

(.)

A dot in brackets indicates a tiny 'gap' within or between utterances.

Characteristics of speech production

word

Underlining indicates some form of stress, via the pitch or loudness of the utterance. An alternative method is to print the stressed part in italics.

::

Colons indicate prolongation of the sound immediately before. Multiple colons indicate a more prolonged sound.

-

A dash indicates that the speaker's speech is cut off abruptly. For example:

A: but then I-

.,?

Punctuation marks are used to indicate characteristics of speech production, especially intonation. They are NOT referring to grammatical units. See below.

.

A full stop indicates a stopping fall in tone: the speech sounds as if the speaker is indicating the end of their speech by lowering the pitch they are speaking at.

,

A comma indicates a continuing intonation, like when you are reading items from a list.

?

A question mark indicates a rising intonation, not a question. For example:

A: I'm reading a great book at the moment?

The absence of an utterance-final marker indicates that the speech did not end with a particular intonation or change in intonation: the speaker did not raise their pitch, or lower it, or sound particularly as if they intended to finish or continue speaking.

¯

Arrows indicate marked shifts into higher or lower pitch in the utterance-part immediately following the arrows. For example, the second part of this phrase would be uttered at a significantly higher pitch than the first:

A: then he said perhaps ­which he knows really annoys me

WORD

Upper-case letters indicate sounds which are particularly loud in relation to the surrounding talk (perhaps shouted).

°

Utterances or utterance-parts bracketed by degree sounds are relatively quieter than the surrounding talk. For example:

A: so I went in and °don't say anything but°I'm going to buy it there instead

< >

Right/left carets bracketing an utterance or utterance-part indicate speeding up

.hhh

A dot-prefix row of 'h's indicates an inbreath. Without the dot, the 'h's indicate an outbreath.

w(h)ord

A bracketed (h), or row of (hhh)s, within a word indicates breathiness as in laughter, crying etc.

Transcriber's doubts and comments

( )

Empty brackets indicate the transcriber's inability to hear what was said. The length of the bracketed space indicates the length of the untranscribed talk. In the 'speaker' designation column, empty brackets indicate inability to identify a speaker.

(word)

Bracketed words are especially dubious hearings or speaker identifications.

(())

Double brackets contain transcriber's descriptions rather than, or in addition to, transcribed speech.

ten Have, P. (1999). Doing conversation analysis: A practical guide. London, Sage.

Task one feedback: transcript

A: so what would be really nice to do is just to tell us how you make the spoons in the spoon forge here.

YP: (1.2) erm well we to start off with mm like a (0.5) bit called ( ) is cut off and then it’s like hammering and forging and re((yawns))heated – up °pardon me° heated – up (0.5) like with a blow torch is called (anining) because it makes it easier to work (1.5) .hh and we gradually in that repeated process we (1.4) end up (1.5) ma(.)king a (0.4) blank then cut the waste off round the template so they can get the (0.4) shape of the bowl, (1.1) and press it (0.6) and finish it off.

A: right how long does it take from start to finish.

YP: erm ( ) it takes a few weeks to the .hhh have quite a lot of sessions so not that much time in each week spent on anything in particular

A: and what equipment do you use do you know what I mean by equipment

YP: [yeah

A: so what tools or machines

YP: [a blowtorch there’s a ( ) press and (1.6) all the various (0.4) like saws and hammers

A: (5) and skills what skills do you learn when you’re making spoons

YP: [erm well lots of (0.4) skills of working with our hands (0.7) and also you know social skills also target set and so not only focused on the work but on ss-socialising with other students as well

A: right (0.4) can you tell us a bit about that what do you have to do to socialise

YP: erm (1.8) well may-we encouraged to (0.2) talk between ourselves s (0.3) s-about (0.4) what’s going on in the world?

A: (1.3) ok .hh what makes a good spoon how do you know when you’ve got a good spoon.

YP: (1.5) erm when it’s like completely smooth and hasn’t got (1.4) any rough bits?

A: right

YP: n-all (1) really (1.1) n-all n good shape

A: (5) and you used lots of words I didn’t know when you were describing making a spoon, can you tell us what they were again. so you called the top bit (0.4) of the spoon a

YP: a bowl

A: a bowl right

YP: [and and (0.4) (anining) that’s like the blow torch like cos you (0.6) heat it – up (0.3) so then all the little atoms are in nice straight lines so they can be shaped easier

A: [oh ok

A: and what did you call what I would call the handle of the spoon. I think you used another word (0.4) for the handle

YP: erm well (0.3) that is the handle when you start ( ) a bit

A: what did you call it what was the blade I think you called something a blade (1.7) or did I hear that wrong

YP: mm (0.4) nope?

A: no (0.7) so is there a bit of the spoon called a blade

YP: no

A: no ok so it’s the bulb (0.4) and the handle.

YP: nn the bowl and the handle

A: ok good .hh and what happens to the spoons that you make and the other students make.

YP: well these silver (0.8) spoons being a precious metal they go off to assay office

A: ok (0.5) and do they get people buy them? ((T uses C’s real name))

YP: no=

A: =no.

YP: these we get (0.3) they’re in fact one of the few things we actually get to keep.

A: oh you get to keep them.

YP: mm

Task two: Analyse

Using the analysis technique described by Marilyn Nippold analyse your transcription.

Speech sample analysis (based on Marilyn Nippold) (PDF, 132KB)
Online version available below.

Refer to the Glossary (PDF, 292KB) for an explanation of ‘subordinate clauses’. Note down the following information:

  • Total number of T-units (‘main clauses’)

  • Total number of fragments

  • Total number of words

  • Mean length of T-unit

  • Total number of subordinate clauses (relative (RC), adverbial (AVC), nominal (NC))

  • Clausal density (total clauses/total T-units)

Example of how to carry out this analysis below.

Chapter 1 Advanced level: sample analysis (PDF, 165MB)

Speech sample analysis, based on Marilyn Nippold (online version)

Analysis of a sample of a young person’s expository discourse can give information about the language structures used by the young person. Clausal density and T-units are types of complex language structures which are expected in expository discourse:

Clausal density refers to the number of subordinate clauses (see glossary) used within the sample.

T-units are defined as any independent clause (‘main clause’), including any dependent subordinate clauses. Thus, ‘you choose a colour’ and ‘you choose the colour you would like to be when you are playing this game against your friend who also has to choose a colour’ are both T-units. The first has no dependent clauses, whereas the second has many: ‘you choose the colour / you would like / to be /when you are playing this game / against your friend / who also has to choose a colour’.

When analysing expository discourse we also need to identify fragments. These are partial T-units, which lack a component such as the verb or the object (where required). For example, if the participant says ‘you play it with a… you choose a colour’, only the clause ‘you choose a colour’ is a T-unit. The phrase ‘you play it with a…’ is NOT a T-unit because it is missing the final object: it is a fragment.

In order to analyse your transcribed expository discourse sample:

1. Break the written sample into T-units. For the purposes of analysis, ignore any partial T-units (fragments). Ignore “and” and separate such sentences into separate T-units (eg “I did this and he did that” gives 2 T-units: “I did this” “he did that”). Also ignore “well”, “erm” and repetitions (eg “er when the um ba-when the um ball isn’t hit in the pocket” becomes “when the ball isn’t hit in the pocket”).

2. Identify all subordinate clauses. Classify them as: relative (RC), adverbial (AVC) or nominal (NC).

3. Calculate the clausal density by adding the number of all clauses (independent [=T-units], relative, adverbial and nominal) and dividing this by the number of Tunits. Thus, a sentence with higher clausal density will have a higher figure than a sentence with lower clausal density.

4. In addition, further information can be gathered as follows:

Once you have established the total number of T-units, add up the total number of complete words used in the T-units. Divide the total word number by the number of T-units to calculate the mean T-unit length.

5. Also, note down the number of fragments (incomplete T-units) in the speech sample.

When you have done this for a number of samples, you can begin to compare the samples to each other. We have included a sample transcription to show you how to carry out this analysis. We have also included data from five participants whose video clips are not shown in Teen Talk. You can use this data to compare the data that you will analyse from the video clips.

In addition, it may be useful for you to know that Nippold et al.’s findings from their 2005 study suggest that, for a typically-developing group of 17-year-olds (roughly akin to our sample participants), the normative figure for mean T-unit length is 10.59, and for clausal density is 1.56.

Based on: Nippold, M. A., Hesketh, L. J., Duthie, J. K., Mansfield, T. C. (2005) Conversational versus expository discourse: A study of syntactic development in children, adolescents, and adults. Journal of Speech, Language, and Hearing Research. 48, 1048-1064.

Chapter one: Advanced Level - Sample analysis (online version)

(Natalie)

Transcription, as used for analysis:

A: so (.) what we’d like you to do now is think of a favourite game or sport.

YP: [yeah

YP: game

A: yep could be anything,

YP: uno?

A: >>oh that’s a good one ok (1.8) so can you tell me why Uno is your favourite game

YP: cos it’s numeracy and it’s funny cos you win and when somebody gets

A: [mm

YP: two cards and they have to pick it up and four cards (1.2) and they change the colour

A: [yeah

A: ok that’s interesting .hh can you tell us now, can you imagine that we don’t know anything about uno .hh and can you describe to us how you play it, (1) what the rules are. =

YP: =I >>don’t think I can remember them

A: just it doesn’t matter if you get them wrong but just have a go as much as you can

YP: err you play with two or four players, (1.8) the rules is not to cheat, (1.5) err (2.7) to start with the num-the whatever car-number card it is, (.) if it’s green you put down the green n (.) so on (.) err (2.5) so if there-if you’re down to the last ( ) card you shout uno (1.6) so it’s quite a good ?game

A: and (.) how do you win.

YP: when you get all rid of your cards

A: (1.5) and how do you do that.

YP: when you shout uno (.) but if you didn’t-but if you don’t shout uno before you pick up ?two cards.

A: (1.8) I remember that now .hh ok so what do you have to do (.) erm to be really good at uno.

YP: patience (.) practice sorry-practice.

A: mm?

YP: quite a lot of things actually I quite enjoy it.

A: mmhm? (1.6) so you have to have practice? anything else?=

YP: =I can’t remember now I’ve not played it for a while

A: mm.

ANALYSIS

  1. Break the written sample into T-units. For the purposes of analysis, ignore any partial T-units (fragments). Ignore ‘and’, and separate such sentences into separate T-units (eg ‘I did this and he did that’ gives 2 T-units: ‘I did this’; ‘he did that’). Also ignore ‘well’, ‘erm’ and repetitions (eg ‘er when the um ba-when the um ball isn’t hit in the pocket’ becomes ‘when the ball isn’t hit in the pocket’).

This gives Natalie's transcription as:

  1. cos it’s numeracy

  2. it's funny cos you win

  3. when somebody gets two cards and they have to pick it up and four cards and they change the colour

  4. I don't think I can remember them

  5. you play with two or four players

  6. the rules is not to cheat, to start with the whatever the number card it is

  7. if it's green you put down the green and so on

  8. so if you're down to the last (unclear) card you should uno

  9. so it's quite a good game

  10. when you get all rid of your cards

  11. when you shout uno

  12. if you don't shout uno before, you pick up two cards

  13. I quite enjoy it

  14. I can't remember now

  15. I've not played it for a while

Total T-units=15

Note: lines 1, 10 and 11 are not T-units because they don't feature a subject. However, they are functioning as T-units because they are uttered in response to a question: the 'subject' is implied by the question and so doesn't need to be repeated in the response.

2. Identify all subordinate clauses. Classify them as: relative (RC), adverbial (AVC) or nominal (NC).

Using the following colour scheme:

relative clause

adverbial clause

nominal clause

Natalie's transcription is:

  1. cos it’s numeracy

  2. it's funny cos you win

  3. when somebody gets two cards and they have to pick it up and four cards and they change the colour

  4. I don't think I can remember them

  5. you play with two or four players

  6. the rules is not to cheat, to start with the whatever the number card it is

  7. if it's green you put down the green and so on

  8. so if you're down to the last (unclear) card you should uno

  9. so it's quite a good game

  10. when you get all rid of your cards

  11. when you shout uno

  12. if you don't shout uno before, you pick up two cards

  13. I quite enjoy it

  14. I can't remember now

  15. I've not played it for a while

Total subordinate clauses: 8 (0 RC, 6 AVC, 2 NC)

3. Calculate the clausal density by adding the number of all clauses (independent [=T-units], relative, adverbial and nominal) and dividing this by the number of T-units.

Clausal density (total clauses/total T-units (=’main clauses’)): 23/15=1.53

4. Add up the total number of complete words used in the T-units. Divide the total word number by the number of T-units to calculate the mean T-unit length.

Total number of words: 128

Mean length of T-unit: 128/15=8.53 words

5. Note down the number of fragments (incomplete T-units) in the speech sample.

Number of fragments: 2 (' patience (.) practice sorry-practice'; ' quite a lot of things actually')

Thus, our analysis data for Natalie is as follows:

  • Total number of T-units: 15

  • Total number of fragments: 2

  • Total number of words: 128

  • Mean length of T-unit: 8.53 words

  • Total number of subordinate clauses: 8 (0 relative, 6 adverbial, 2 nominal)

  • Clausal density (total clauses/total T-units (=’main clauses’)): 23/15=1.53

Task two feedback

  • Total number of T-units: 12

  • Total number of fragments: 2

  • Total number of words: 155

  • Mean length of T-unit: 12.9

  • Total number of subordinate clauses: 13 (1 RC, 9 AVC, 3 NC)

  • Clausal density: 25/12=1.92

Fragments

-it takes a few weeks to the

-have quite a lot of sessions

Subordinate clauses: RC

12 we actually get to keep

Subordinate clauses: AVC

1 to start off with

2 because it makes it easier to work

2 in that repeated process

3 so they can get the shape of the bowl and press it and then finish it off

4 on anything in particular

8 cos you heat it up

8 so then all the little atoms are in nice straight lines

8 so they can be shaped easier

10 being a precious metal

Subordinate clauses: NC

2 heated up with a blow torch

6 what’s going on in the world

9 (unclear) a bit called (unclear)

Task three: Comment

Comment on your analysis, with reference to the language structures you would expect to observe in the expressive language of older children and young adults at secondary school age, using our data for comparison.

Data for comparison (PDF, 130KB)

Data for comparison (online version)

In order for you to make sense of the information which you have just analysed, we will provide data from five further participants to enable you to make meaningful comparisons. We will also include information on what you would expect from a ‘typically developing’ group of participants for you to refer to; this data is taken from Nippold et al.’s 2005 study.

To compare your data to other data from our sample of young people with language disorder, use the information below.

Participant 1
Total T-units: 29
Mean length of T-unit (wds): 9.2
Clausal density: 1.55

Participant 2
Total T-units: 18
Mean length of T-unit (wds): 6.67
Clausal density: 1.56

Participant 3
Total T-units: 41
Mean length of T-unit (wds): 9.96
Clausal density: 1.39

Participant 4
Total T-units: 15
Mean length of T-unit (wds): 6.00
Clausal density: 1.20

Participant 5
Total T-units: 15
Mean length of T-unit (wds): 8.53
Clausal density: 1.53

To analyse our participants’ language samples in relation to what you would expect from a typically developing young person, use the information below, taken from Nippold et al.’s 2005 study. Nippold’s study used participants who were considered typical language users (that is, they showed no evidence of any speech, language or communication need and had not been identified as having language disorder at any point in their education) from a number of age groups.

They used the expository discourse task to analyse the participants’ language use. Their findings are summarised below. Please note, only the mean (average) result is shown here, for the purposes of comparison and analysis within this Teen Talk task.

Measure: Age 8
Total T-units: 33.05
Mean length of T-unit: 8.59
Clausal density: 1.42

Measure: Age 11
Total T-units: 33.30
Mean length of T-unit: 9.29
Clausal density: 1.45

Measure: Age 13
Total T-units: 36.15
Mean length of T-unit: 8.68
Clausal density: 1.42

Measure: Age 17
Total T-units: 44.00
Mean length of T-unit: 10.59
Clausal density: 1.56

Measure: Age 25
Total T-units: 51.55
Mean length of T-unit: 11.04
Clausal density: 1.54

Measure: Age 44
Total T-units: 60.55
Mean length of T-unit: 11.46
Clausal density: 1.59

Based on: Nippold, M. A., Hesketh, L. J., Duthie, J. K., Mansfield, T. C. (2005) Conversational versus expository discourse: A study of syntactic development in children, adolescents, and adults. Journal of Speech, Language, and Hearing Research. 48, 1048-1064.

Task three feedback

Compared to our sample of Chris’ peers (who undertook the task but whose clips are not included in this resource), we can see that Chris’ mean T-unit length, at 12.9 words, is higher than the other participants. Although his total number of T-units is not high (12), the high mean T-unit length suggests that Chris’ sentences contain plenty of information.

His frequent use of subordinate clauses gives a higher clausal density than the other participants: our transcription shows that these clauses are of all types. This suggests that Chris is a skilled user of complex language structures such as subordinate clauses.

Using normative data from Nippold et al.’s 2005 study, we can see that Chris’ high mean T-unit length is also higher than the mean for his typically-developing age-matched peers (at 10.59). We can also see that Chris’ clausal density (at 1.92) is higher than for his typically-developing age-matched peers (at 1.56), suggesting again that Chris is skilled at using complex language.

Summary task

  • What have you learned from completing this task?

  • What questions do you have following this set of tasks?

  • How do you plan to address these questions? What are your next steps?

  • How can you apply your learning in your practice?

  • How could you use expository discourse, and analysis of expository discourse, in your setting?

  • How can your learning in this task help you in working with young people with language disorder?

No feedback.