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Developmental aspects of handwriting acquisition PDF

352 Pages·2012·3.97 MB·English
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Developmental aspects of handwriting acquisition Michael John Allen A thesis submitted in partial fulfilment of the requirement of Staffordshire University for the degree of Doctor of Philosophy Submitted March 2010 Resubmitted August 2011 i Acknowledgements My thanks go to all that have helped during the past several years juggling a busy professional workload with fascinating studying. Thanks to Mary Gale and the staff at St Michaels School, Stone, Staffordshire; the staff at Christchurch Middle School, Stone, Staffordshire; Linda Ball and the staff at Alleynes School, Stone Staffordshire; Jo Farmer and the staff at Parkside School, Stafford; and Beryl Whincup and the staff at Sir Graham Balfour School, Stafford. Without their willingness to assist none of this would have been possible. Thanks to my supervisors, Mr David Galbraith, Professor David Clark-Carter and Dr Mark Torrance (now at Nottingham Trent University) all of whom patiently guided me through the more difficult times. And finally to my wife Karen and daughters Vicki, Jacqui and Heather each of whom has, at various times, given me the necessary encouragement to get the work finished. Declarations I declare that, while registered as a candidate for a Research Degree, I have not been a registered candidate or enrolled student for another award. I declare that no material contained in the thesis has been used in any other submission for an academic award. I confirm that the thesis submitted is the outcome of the work that I have undertaken during my programme of study and is all my own work. MMMMJJJJ AAAAlllllllleeeennnn ii Abstract This research set out to examine the changes in handwriting in children from the earliest learning experiences at about five years old through to the time that they leave education in late adolescence. The aims were to explore the changes that occur in handwriting, both of features used and their variability, to establish when they occur and to determine what the consequences are for the process of individualisation. A coding scheme was devised that was used to establish detailed changes in feature use of particular letters in the handwriting of children. The scheme was tested and then revised to give a practical tool to use in the examination of large numbers of handwriting samples in cross-sectional and longitudinal studies that followed. In the cross-sectional study three handwriting tasks (normal composition, neat copying and fast copying) were completed by 144 participants from six different age groups. Firstly, the results showed that, there are underlying higher order dimensions of handwriting that emerge from some of the individual features. Secondly, across all tasks, the variability of handwriting increased from the younger children and peaked at about 10-11 years old and then decreased. Within this general trend, there was also evidence that writing faster than normal led to increased variability in letter formation for younger children, but reduced variability for older children. Thirdly, some individualisation was present even in the youngest children, but the extent of this increased such that by late adolescence it was nearly almost complete. iii In the longitudinal study handwriting samples from a smaller number of children were obtained over three years. The findings were similar to those obtained in the cross-sectional study. The implications of this for handwriting acquisition in particular and skill acquisition in general are considered. The research concludes that there is potential to extend the approach used in this research to clarify higher order dimensions of handwriting production, that the variability of handwriting is a good measure for determining handwriting development in children, that this variability increases up to the age of 10-11, and then declines, and that the handwriting of each child progressively develops its own style away from that of his or her peers. iv Contents Acknowledgements ii Abstract iii List of tables vii List of figures viii Chapter 1 Preface 1 1.1 General introduction 1 1.2 Preliminary considerations for the research 8 1.3 Background to handwriting production 12 Chapter 2 Introduction 16 2.1 General introduction 16 2.2 Precursors of handwriting 17 2.3 Skill acquisition 21 2.4 Models of writing 33 2.5 Models of handwriting 39 2.6 The development of handwriting in children 44 2.7 Movement in handwriting 50 2.8 External factors influencing handwriting production 58 2.9 The research questions 63 Chapter 3 Assessing handwriting 69 3.1 Assessing developmental aspects relating to handwriting in children 71 3.2 Handwriting variation 79 3.3 Forensic categorising of handwriting 86 3.4 Summary 98 Chapter 4 Coding scheme development 100 4.1 Introduction 100 4.2 The coding scheme 103 4.3 Method 112 4.4 Results 118 4.5 Discussion of cluster analysis 131 4.6 Coding scheme refinement 137 4.7 Inter-rater reliability 143 4.8 Discussion 146 v Chapter 5 Cross-sectional study 154 5.1 Introduction 154 5.2 Practical considerations 159 5.3 Pilot study 163 5.4 Method 165 5.5 Results – general observations 172 5.6 Results – Principal Components Analysis (PCA) 175 5.7 Results – individual handwriting features 187 5.8 Results – overall handwriting variation (OHV) 194 5.9 Results – individualisation of handwriting 203 5.10 Discussion 207 Chapter 6 Longitudinal study 216 6.1 Introduction 216 6.2 Method and participants 221 6.3 Results- general observations 225 6.4 Results – descriptive statistics and Principal Components Analysis 228 6.5 Results – overall handwriting variation (OHV) 238 6.6 Results -individualisation 243 6.7 Discussion 248 Chapter 7 Discussion 251 7.1 Introduction 251 7.2 Critique of methodology and coding scheme 254 7.3 Handwriting variation and skill development 263 7.4 The development of handwriting style and individualisation 270 7.5 Causes of change in handwriting style 275 7.6 Implications for teaching of handwriting 277 7.6 Conclusion 282 Bibliography 285 Appendices 302 vi List of Tables Table 3.1 showing categories into which the letter A can be divided 88 Table 3.2 showing capital letter features used by Hardcastle et al (1986) to discriminate between adult writings 90 Table 3.3 showing lower case letter features used by Hardcastle & Kemmenoe (1990) to discriminate between adult writings 94 Table 4.1 The coding scheme 110-111 Table 4.2 showing descriptive statistics of data in preliminary study of coding scheme 119 Table 4.3 showing participant clustering and age group clustering patterns 128 Table 4.4 showing the inter-rater reliability of the seventeen retained features 145 Table 5.1 showing participants’ details for the cross sectional study 166 Table 5.2 Loadings on each of the components for the composing, neat and fast writing tasks. 179 Table 5.3 showing the form of the features loading on components 1 and 2 182 Table 5.4 Median (and inter-quartile ranges) for feature use proportions 188-189 Table 5.5 Means and standard deviations for the overall handwriting variation (OHV) scores for each task by year group. 197 Table 5.6 Overall handwriting variation (OHV) - the significance levels and effect sizes of task for each year group 201 Table 5.7 OHV - showing the t values of task across pairs of tasks for the different age groups 202 Table 5.8 showing number of Level One Clusters based on dendrograms 205 Table 5.9 the number of Perfect Triples shown by the dendrograms in Appendices 4.1 to 4.6 (% of maximum of 24) 206 Table 6.1 Longitudinal study data showing median (inter-quartile) for use of each coded feature 230 Table 6.2 Level One groupings based on the dendrograms in Appendices 5.1 to 5.4 in longitudinal study 246 vii List of Figures Figure 1.1a showing writing from a young child who is still learning to write 13 Figure 1.1b showing writing from a child showing mastery of the skill but whose handwriting still has a child-like appearance 13 Figure 1.1c showing handwriting from a pupil in her mid-teenage years 13 Figures 3.1 – 3.16 Variations in letter forms 81-85 Figures 4.1a-4.1e showing dendrograms obtained using different clustering algorithms 123-127 Figure 4.2 Extract from handwriting of participant nearest centroid value of cluster 1 (youngest participants) 135 Figure 4.3 Extract from handwriting of participant nearest centroid value of cluster 2 (oldest participants) 135 Figure 4.4 Extract from handwriting of an eleven year old clustering with oldest children 136 Figure 4.5 Extract from handwriting of an eleven year old clustering with youngest children 136 Figure 4.6 Dendrogram showing two main clusters using revised scheme 141 Figure 5.1 showing the picture prompt sheet giving ideas for Task 1 169 Figure 5.2 Texts of the two copying tasks 170 Figure 5.3 Mean scores on Lateral Elongation as a function of task and year 185 Figure 5.4 Mean scores on Movement Integration as a function of task and year. 187 Figure 5.5 showing the mean overall handwriting variation (OHV) across all features and across all participants in each age group (Task 1=compose, Task 2=neat copying and Task 3=fast copying) 198 Figure 6.1 showing handwriting from a 5 pupil 226 1 Figure 6.2 showing handwriting from the same pupil as Figure 6.1 but in the following academic year 227 Figure 6.3 showing the mean OHV data from the longitudinal study 232 Figure 6.4 Mean score on Movement Integration component as a function of age changes within each of the age cohorts. 236 Figure 6.5 showing the mean OHV data from the longitudinal study 240 viii Chapter 1 Preface 1.1 General introduction The need to communicate in one form or another is central to the existence of all human beings. Often this involves recording the communication, a process that historically led to the development of handwriting. For most people, the process that enabled them to acquire the skill of handwriting is largely forgotten once it has been acquired. In children, handwriting becomes an increasingly automated skill (Rueckriegel, et al. 2008), subservient to the higher thought processes that are to be recorded using it. This does not mean that handwriting is outside conscious control. If a high degree of automation does not happen, then the need to apply the mind to the act of handwriting is likely to be a barrier to the higher thought processes that are being communicated. For example, writing in unaccustomed circumstances requires different neuro-muscular input (Wing, 2000). But in the normal course of events, accomplished writers concentrate on what to write not how to write. Handwriting is a skill the product of which is regarded as being unique to each individual (Ellen, 1993). This uniqueness is derived from two components of a person’s handwriting. Firstly, the particular combination of forms of the letters used (style) to produce the handwriting will vary from person to person depending on a number of factors. These are considered in depth in Chapter 2. In this research, not only will letterforms be examined in isolation and in combination but they will also be analysed with a view to 1 determining whether there are higher order dimensions of handwriting that some features share with one another. Secondly, the variability of execution of the letterforms varies from one writer to another. This variability is usually called natural variation and is an intrinsic quality of handwriting. The origins of variability are often ignored in studies which aim to show what events occur during development and when they occur. However, in this research, variability will be at the heart of the analysis of handwriting development because the variations are a potential source for change in handwriting style within a given writer and hence the source of differences between writers. Thus, for a given written character (such as the letter a), two writers might show variations some of which are shared by both writers and some of which are not. Multiplied by the various handwritten characters and the population of writers, there is scope for many dimensions of handwriting to be either similar or different both within the handwriting of a given writer and between the handwriting of different writers. Indeed, the range of natural variation of a person’s handwriting itself becomes a property of the handwriting that a handwriting expert can use when determining authorship. The range of variation incorporates dimensions of the extent of the variation and the nature of different handwriting features used. Taking into account natural variation is a central part of the identification process for the handwriting expert. The combination of features used and their variability are what produce the unique quality (style) of each person’s handwriting (Ellen, 1993). 2

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within writer variability and, in the absence of major developmental changes, between writer variation is likely to be smaller. Given that handwriting production occurs in the context of acquiring other skills, the production of handwriting in the early stages of learning will be influenced by gene
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Most books are stored in the elastic cloud where traffic is expensive. For this reason, we have a limit on daily download.