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Centre for Higher Education Practice
                    “Festival of Innovative Practice”
                  June 16th 2011, Jordanstown Campus
Does placement matter? An empirical study of final year performance
CHEP funded (Round 2)


Project Team

Dr Peter Green (Jordanstown campus) senior lecturer (Project leader)
Mrs Helen Foster (Jordanstown campus) lecturer
Mr Philip Houston (Jordanstown campus) work experience consultant
Dr David McAree (Magee campus) lecturer
Mrs Claire McCann (Coleraine campus) lecturer
Dr Douglas McCulloch (Jordanstown campus) lecturer
Mr Michael Pogue (Jordanstown camous) lecturer
Dr Brian Rushton (Coleraine campus) Professor of Botany
INTRODUCTION
 Employability is the key factor with regard to the
  inclusion of a work-based placement within full-
  time undergraduate degree programmes.
 It may be argued that from a students
  perspective degree classification is the “currency
  of employment” (Tomlinson, 2008).
  Knight and Yorke (2004).
 If students attribute little “value-added” to taking a
  work placement year they may opt not to engage
  in a placement period, despite the views of
  educationalists and employers on the benefits of
  work experience.
INTRODUCTION
• In 2007, approximately 50% of University of Ulster
  graduates had undertaken a recognised placement in
  some form, but placement is now currently optional on
  many courses.
• The BSc Business Studies degree for example, has
  witnessed a fall from 65% in 2007 to 45% in 2009 in
  students opting to take a placement year.
• Nationally in the UK, whilst the percentage of graduates
  has increased by 9.1%, those graduating with placement
  has fallen by 7.1% in the period from 1999 to 2003
  (HEFCE, 2009).
Trends at Ulster


                       2005/06   2006/07   2007/08   2008/09   2009/10   2010/11
Business Studies (J)    92        69        59        59        48       45
Business Studies (M)    86       104        93        69        54       17
Marketing               48        43        42        45        50       57
HRM                     34        35        26        47        34       41
International considerations
 Arthur and Little (2010) report that 55% of all
  European graduates had undertaken a
  placement period, with over 80% in Finland,
  Germany and the Netherlands, whilst the
  observed figure for the UK is 29%. Given the
  claimed importance of placement from both
  educationalists’ and employers, the downward
  trend in the UK is clearly undesirable (see, the
  Confederation of British Industry, 2009).
INTRODUCTION
 An important research question, from both an
  educationalists and students perspective is
  therefore, does the completion of a work
  placement year, despite the fact that it does not
  contribute directly to the final degree mark in a
  mathematical sense, have a positive and
  significant impact upon final year performance
  and consequently, upon degree classification?
OBJECTIVE
 This study investigates the impact of students
  taking a work placement (internship) year on the
  final degree mark and hence classifications
  achieved by the 2009 cohort of students on nine
  undergraduate degrees at the University of
  Ulster.
 A number of control variables are explored.
  Namely, total tariff points on entry, prior tertiary
  level degree performance, and gender.
THE LITERATURE
 Bourner and Hamed (1987) provide evidence
  that the taking of a work placement year is
  associated with improved degree results, having
  controlled for A-level scores on degree entry
  (see also Davis 2003).
 Gomez, Lush and Clements (2004) find that on
  average, students who take a year long
  placement gain an advantage of 4% in the final
  year, compared to students who did not complete
  a placement year.
THE LITERATURE
 Rawlings, White and Stephens (2006) conclude
  that internship or placement has a significant
  positive impact upon academic performance (see
  also Wallace 2002 and Mendez 2008, 2011).
 None of the aforementioned studies specifically
  investigate the impact of a work placement year
  on business related degrees.
THE LITERATURE
 Duignan (2002) compared the academic
  performance of business undergraduates and
  reported no difference between the performance
  of students undertaking a placement year and
  those not. The failure to produce evidence of a
  beneficial effect is attributed to a failure to fully
  exploit the learning potential of placement. In
  particular, the structure and management of the
  placement are contributory factors.
THE LITERATURE
 Essentially, Duignan (2002) argues that the
  placement student is a “transient” between the
  workplace and University, each of which has its’
  own value and reward system. Consequently on
  return to University and study, a student may be
  demotivated, loosing any potential learning
  transfer from the workplace.
THE LITERATURE
 Gracia and Jenkins (2003) provide some
  evidence that students who opt to take a year of
  supervised work experience before their final
  year, perform better than those who do not, on
  an undergraduate degree programme in
  accounting and finance at the University of
  Glamorgan.
THE LITERATURE
 In the context of an undergraduate degree in
  Economics at the University of Surrey,
  Mandilaras (2004) similarly finds that there is a
  statistically significant positive relationship
  between the completion of a placement year and
  academic attainment, as measured in terms of
  degree classification.
 Surridge (2009) finds that there is statistically
  significant better performance for students
  completing placement on accounting and finance
  degrees.
THE LITERATURE
 Higson (2011) also concludes that undertaking a
  placement year improves degree performance,
  but that “better” students take a placement year
  using data from all students studying Combined
  Honours Business Administration who graduated
  from Aston University between 2002 and 2008.
 Green (2011) provides evidence from a study of
  a single cohort of Business Studies students at
  the Jordanstown campus which suggests that the
  completion of a placement year on average,
  improves the final year classification award
  achieved by students from 2.2 to 2.1.
THE LITERATURE
 HEFCE (2009) provides some interesting statistics with
  regard to this study:
 71% of students graduating with a placement year in 2003,
  achieved a 2.1 or above, compared with 60% of other three
  year courses (based upon classified degrees).
 “... that students who studied abroad for part of their course
  entered with higher qualifications than other students, and
  placement students entered with lower qualifications than
  other students.” (page 25)
 With regard to entry and classifications, “....the higher
  overall (classification) rate for those who studied abroad or
  did a placement can not be entirely explained by
  differences in entry qualifications.” (page 27)
DATA
 The empirical evidence presented is based upon
  data gathered relating to the graduating cohort of
  students on nine undergraduate degrees in 2009.
  Only students who entered on the basis of UK
  entry tariff points were included, thus students
  entering with Irish Leaving Certificate or joining
  the programme of study either in second year, or
  third year (via franchise or alternative
  qualifications, such as HND) were excluded. In
  addition, students were excluded if extenuating
  circumstances prevented them from taking all of
  the final year modules.
DATA
 Students who had repeat assessment to
  complete, in final year modules were included on
  the basis of their first attempt results. Similarly,
  when gathering data on second year degree
  marks, the mark employed was that achieved on
  the first attempt for those students who had to
  complete repeat assessment before either
  proceeding to work placement, or directly into
  final year. The final sample thus consisted of
  530 students.
TABLE 1:         Student profile on graduation 2009

Total tariff points on entry

Descriptives      BSJ    BSC    BSM    ACC      HRM    CS    CAM    ECON   MKT    TOTAL
Mean              304    255    254    338      295    264   378     280   287     296
Median            300    240    240    340      300    280   370     270   280     300
Mode              300    240    240    320*     240*   280   400     260   260*    240
Standard           41     41     55     38       45     53    34      42    38      58
Deviation
First Quartile     280   240    220     310     260    220   340    255    260     249
Third Quartile     325   280    290     360     330    300   400    313    320     340
Number of           97    91     79      88      25     30    54     14     52     530
students

Final year degree marks

Descriptives      BSJ    BSC    BSM     ACC     HRM    CS    CAM    ECON   MKT    TOTAL
                   %      %       %      %        %     %      %     %      %       %
Mean               59     60     61      57      63    62     65     64     61      60
Median             59     61     61      60      63    61     65     63     62      61
Mode              54*    61*     58*    60*      63*   60*    65*    63     54      60
Standard            7      6      7      12       5     8      5      4      9       8
Deviation
First Quartile     55    57      57      53      60    54     61     62    58      57
Third Quartile     64    64      66      63      67    69     68     68    68      65

Second year degree marks

Descriptives      BSJ    BSC    BSM     ACC     HRM    CS    CAM    ECON   MKT    TOTAL
                   %      %      %       %       %      %      %      %     %       %
Mean               55     56     57      57      56    61     63     54     57      57
Median             56     55     56      55      54    63     63     53     58      57
Mode               62     52     60      55      53    63*    63*    51*    59     62*
Standard            6      8      7       8       6     5      6      6      6       7
Deviation
First Quartile     49    50      53      52      60    58     59     51    53      52
Third Quartile     61    62      63      63      67    64     66     60    62      63

*Multiple modes exist, lowest value is taken.

BSJ              Business Studies, Jordanstown, Ulster Business School
BSC              Business Studies, Coleraine, Ulster Business School
BSM              Business Studies, Magee, Ulster Business School
ACC              Accounting, Jordanstown, Ulster Business School
HRM              Human Resource Management, Jordanstown, Ulster Business School
CS               Consumer Studies, Coleraine, Ulster Business School
CAM              Communications, Advertising and Marketing, Jordanstown, School of
                 Communications.
ECON             Economics, Jordanstown, Faculty of Social Sciences
MKT              Marketing, Jordanstown, Ulster Business School
METHODOLOGY
 A combination of both parametric and non-
  parametric statistical tests is employed to
  investigate the issues of interest. Both
  parametric and non-parametric tests are
  employed due to the relatively small sample
  sizes which may invalidate any standard
  assumptions regarding the distribution of the
  variables investigated when employing
  parametric tests.
METHODOLOGY
In addition, multivariate models to explain final
year degree mark are developed. Specifically,
the following models are investigated:

Y = α0 + α1X + α2M + α3DIS + α4GEN + μ

Y = β0 + β1X + β2M + β3MDIS + β4GEN + σ
Question 1

Is there a relationship between the average final year degree mark and
total tariff points on entry?

Table 2

Yes. There is a positive and statistically significant relationship.

Question 2

Is the completion of a work placement year associated with a higher
final year degree mark?

Table 3


Yes. Those students who complete a placement year have a
statistically significant higher average final degree mark, which
transcends a classification boundary (62.98 compared to 58.94).
Question 3

Do students who complete a work placement year have higher total
tariff points on entry?

Table 4

Yes. Students opting to proceed directly to final year on average have lower
total tariff points (295.78 compared to 296.59), but the difference is not
statistically significant.

Question 4

Do students who complete a work placement year have higher average
second year performance?

Table 4

Yes. Those students who complete a placement year have a statistically
significant higher average second year degree mark, which does NOT
transcend a classification boundary (58.14 compared to 55.95).
Question 5

Is the average final degree mark for students taking placement higher
than the average mark they achieved in second year?

Table 5

Yes. Those students who complete a placement year have a
statistically significant higher final year mark than the second year
degree mark, which transcends a classification boundary. (62.98
compared to 58.14)

Question 6

Is the average final degree mark for students opting not to take a
placement year higher than the average mark they achieved in second
year?

Table 5

Yes, but although the difference is statistically significant it does NOT
transcend a classification boundary. (56.94 compared to 55.95)
Question 7

Does gender impact upon the final degree mark achieved by students?

Table 6

Yes. Female students have statistically significant higher average
marks which transcend a classification boundary (61.65 compared to
57.22)

Question 8

Is the taking of a placement year a surrogate for gender?

Table 7

No. Individual analysis reveals that for both male and female students
those who complete a placement year have higher average final year
marks which are statistically significant and represent a difference in
classification (male students, 60.4 compared to 54.54, and female 63.86
compare to 58.39).
Table 8:        Ordinary Least Squares estimation of multivariate model (Full

                sample)

                Y=      α0 + α1X + α2M + α3DIS + α4GEN + μ            (1)

       α0               α1         α2           α3          α4        RA2
     22.264           0.008      0.593        4.492       -1.986     0.446
    (0.000)**        (0.120)    (0.000)**    (0.000)**   (0.001)**


Number of observations is 530.
Table 9:        Ordinary       Least   Squares   estimation   of   multivariate    model

                (Placement students)

                Y=      β0 + β1X + β2M + β3MDIS + β4GEN + σ                  (2)

       β0               β1             β2           β3           β4          RA2
     29.680           0.009          0.433        0.085        -1.718       0.409
    (0.000)**        (0.091)       (0.000)**     (0.018)*     (0.007)**

Number of observations is 293.
IMPLICATIONS
 Does a work placement year results in tangible gains?
 Will students be able to afford to do placements?
 Students’ would appear to be more concerned with a
  placement year extending their period of study, which is a
  particular dimension of affordability.
 Perhaps the answer to the question of affordability lies in
  more innovative ways of incorporating placement within the
  curriculum design of undergraduate degrees, which
  explicitly recognise the contribution of a work placement
  year to student learning and employability.
FUTURE RESEARCH
CHEP funding round 4.
 Student engagement and employability: An
 empirical investigation into the impact of a work
 placement year.
FUTURE RESEARCH
 This study seeks to investigate whether
  employability, as measured by employment at a
  graduate level within six months of completing
  university study is associated with student
  engagement as measured by the completion of a
  one year work placement. As such this study
  builds upon the research of Foster et al (2011),
  but extends it specifically into the area of student
  engagement and employability.
FUTURE RESEARCH
The methodology employed will consist of both
parametric and non-parametric analysis,
specifically employing correlation analysis and
binary logistic regression. The dependent
variable in the latter will be a dummy variable
taking the value of 1 for those students gaining
graduate level employment within six months of
graduation and zero otherwise. The form of the
model to be estimated is
FUTURE RESEARCH
FUTURE RESEARCH
Where, pi is the probability of a student (i)
gaining graduate level employment within six
months of completing university study, β0 is a
constant term introduced to capture the impact of
omitted variables and the independent variables,
are a combination of dummy variables (for the
completion of a placement year, final year
degree classification, degree specialisation, the
nature of the work experience gained on
placement and gender) and other control
variables including total tariff points on entry, and
second year degree performance

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Does placement impact degree performance

  • 1. Centre for Higher Education Practice “Festival of Innovative Practice” June 16th 2011, Jordanstown Campus Does placement matter? An empirical study of final year performance CHEP funded (Round 2) Project Team Dr Peter Green (Jordanstown campus) senior lecturer (Project leader) Mrs Helen Foster (Jordanstown campus) lecturer Mr Philip Houston (Jordanstown campus) work experience consultant Dr David McAree (Magee campus) lecturer Mrs Claire McCann (Coleraine campus) lecturer Dr Douglas McCulloch (Jordanstown campus) lecturer Mr Michael Pogue (Jordanstown camous) lecturer Dr Brian Rushton (Coleraine campus) Professor of Botany
  • 2. INTRODUCTION  Employability is the key factor with regard to the inclusion of a work-based placement within full- time undergraduate degree programmes.  It may be argued that from a students perspective degree classification is the “currency of employment” (Tomlinson, 2008). Knight and Yorke (2004).  If students attribute little “value-added” to taking a work placement year they may opt not to engage in a placement period, despite the views of educationalists and employers on the benefits of work experience.
  • 3. INTRODUCTION • In 2007, approximately 50% of University of Ulster graduates had undertaken a recognised placement in some form, but placement is now currently optional on many courses. • The BSc Business Studies degree for example, has witnessed a fall from 65% in 2007 to 45% in 2009 in students opting to take a placement year. • Nationally in the UK, whilst the percentage of graduates has increased by 9.1%, those graduating with placement has fallen by 7.1% in the period from 1999 to 2003 (HEFCE, 2009).
  • 4. Trends at Ulster 2005/06 2006/07 2007/08 2008/09 2009/10 2010/11 Business Studies (J) 92 69 59 59 48 45 Business Studies (M) 86 104 93 69 54 17 Marketing 48 43 42 45 50 57 HRM 34 35 26 47 34 41
  • 5. International considerations  Arthur and Little (2010) report that 55% of all European graduates had undertaken a placement period, with over 80% in Finland, Germany and the Netherlands, whilst the observed figure for the UK is 29%. Given the claimed importance of placement from both educationalists’ and employers, the downward trend in the UK is clearly undesirable (see, the Confederation of British Industry, 2009).
  • 6. INTRODUCTION  An important research question, from both an educationalists and students perspective is therefore, does the completion of a work placement year, despite the fact that it does not contribute directly to the final degree mark in a mathematical sense, have a positive and significant impact upon final year performance and consequently, upon degree classification?
  • 7. OBJECTIVE  This study investigates the impact of students taking a work placement (internship) year on the final degree mark and hence classifications achieved by the 2009 cohort of students on nine undergraduate degrees at the University of Ulster.  A number of control variables are explored. Namely, total tariff points on entry, prior tertiary level degree performance, and gender.
  • 8. THE LITERATURE  Bourner and Hamed (1987) provide evidence that the taking of a work placement year is associated with improved degree results, having controlled for A-level scores on degree entry (see also Davis 2003).  Gomez, Lush and Clements (2004) find that on average, students who take a year long placement gain an advantage of 4% in the final year, compared to students who did not complete a placement year.
  • 9. THE LITERATURE  Rawlings, White and Stephens (2006) conclude that internship or placement has a significant positive impact upon academic performance (see also Wallace 2002 and Mendez 2008, 2011).  None of the aforementioned studies specifically investigate the impact of a work placement year on business related degrees.
  • 10. THE LITERATURE  Duignan (2002) compared the academic performance of business undergraduates and reported no difference between the performance of students undertaking a placement year and those not. The failure to produce evidence of a beneficial effect is attributed to a failure to fully exploit the learning potential of placement. In particular, the structure and management of the placement are contributory factors.
  • 11. THE LITERATURE  Essentially, Duignan (2002) argues that the placement student is a “transient” between the workplace and University, each of which has its’ own value and reward system. Consequently on return to University and study, a student may be demotivated, loosing any potential learning transfer from the workplace.
  • 12. THE LITERATURE  Gracia and Jenkins (2003) provide some evidence that students who opt to take a year of supervised work experience before their final year, perform better than those who do not, on an undergraduate degree programme in accounting and finance at the University of Glamorgan.
  • 13. THE LITERATURE  In the context of an undergraduate degree in Economics at the University of Surrey, Mandilaras (2004) similarly finds that there is a statistically significant positive relationship between the completion of a placement year and academic attainment, as measured in terms of degree classification.  Surridge (2009) finds that there is statistically significant better performance for students completing placement on accounting and finance degrees.
  • 14. THE LITERATURE  Higson (2011) also concludes that undertaking a placement year improves degree performance, but that “better” students take a placement year using data from all students studying Combined Honours Business Administration who graduated from Aston University between 2002 and 2008.  Green (2011) provides evidence from a study of a single cohort of Business Studies students at the Jordanstown campus which suggests that the completion of a placement year on average, improves the final year classification award achieved by students from 2.2 to 2.1.
  • 15. THE LITERATURE  HEFCE (2009) provides some interesting statistics with regard to this study:  71% of students graduating with a placement year in 2003, achieved a 2.1 or above, compared with 60% of other three year courses (based upon classified degrees).  “... that students who studied abroad for part of their course entered with higher qualifications than other students, and placement students entered with lower qualifications than other students.” (page 25)  With regard to entry and classifications, “....the higher overall (classification) rate for those who studied abroad or did a placement can not be entirely explained by differences in entry qualifications.” (page 27)
  • 16. DATA  The empirical evidence presented is based upon data gathered relating to the graduating cohort of students on nine undergraduate degrees in 2009. Only students who entered on the basis of UK entry tariff points were included, thus students entering with Irish Leaving Certificate or joining the programme of study either in second year, or third year (via franchise or alternative qualifications, such as HND) were excluded. In addition, students were excluded if extenuating circumstances prevented them from taking all of the final year modules.
  • 17. DATA  Students who had repeat assessment to complete, in final year modules were included on the basis of their first attempt results. Similarly, when gathering data on second year degree marks, the mark employed was that achieved on the first attempt for those students who had to complete repeat assessment before either proceeding to work placement, or directly into final year. The final sample thus consisted of 530 students.
  • 18. TABLE 1: Student profile on graduation 2009 Total tariff points on entry Descriptives BSJ BSC BSM ACC HRM CS CAM ECON MKT TOTAL Mean 304 255 254 338 295 264 378 280 287 296 Median 300 240 240 340 300 280 370 270 280 300 Mode 300 240 240 320* 240* 280 400 260 260* 240 Standard 41 41 55 38 45 53 34 42 38 58 Deviation First Quartile 280 240 220 310 260 220 340 255 260 249 Third Quartile 325 280 290 360 330 300 400 313 320 340 Number of 97 91 79 88 25 30 54 14 52 530 students Final year degree marks Descriptives BSJ BSC BSM ACC HRM CS CAM ECON MKT TOTAL % % % % % % % % % % Mean 59 60 61 57 63 62 65 64 61 60 Median 59 61 61 60 63 61 65 63 62 61 Mode 54* 61* 58* 60* 63* 60* 65* 63 54 60 Standard 7 6 7 12 5 8 5 4 9 8 Deviation First Quartile 55 57 57 53 60 54 61 62 58 57 Third Quartile 64 64 66 63 67 69 68 68 68 65 Second year degree marks Descriptives BSJ BSC BSM ACC HRM CS CAM ECON MKT TOTAL % % % % % % % % % % Mean 55 56 57 57 56 61 63 54 57 57 Median 56 55 56 55 54 63 63 53 58 57 Mode 62 52 60 55 53 63* 63* 51* 59 62* Standard 6 8 7 8 6 5 6 6 6 7 Deviation First Quartile 49 50 53 52 60 58 59 51 53 52 Third Quartile 61 62 63 63 67 64 66 60 62 63 *Multiple modes exist, lowest value is taken. BSJ Business Studies, Jordanstown, Ulster Business School BSC Business Studies, Coleraine, Ulster Business School BSM Business Studies, Magee, Ulster Business School ACC Accounting, Jordanstown, Ulster Business School HRM Human Resource Management, Jordanstown, Ulster Business School CS Consumer Studies, Coleraine, Ulster Business School CAM Communications, Advertising and Marketing, Jordanstown, School of Communications. ECON Economics, Jordanstown, Faculty of Social Sciences MKT Marketing, Jordanstown, Ulster Business School
  • 19. METHODOLOGY  A combination of both parametric and non- parametric statistical tests is employed to investigate the issues of interest. Both parametric and non-parametric tests are employed due to the relatively small sample sizes which may invalidate any standard assumptions regarding the distribution of the variables investigated when employing parametric tests.
  • 20. METHODOLOGY In addition, multivariate models to explain final year degree mark are developed. Specifically, the following models are investigated: Y = α0 + α1X + α2M + α3DIS + α4GEN + μ Y = β0 + β1X + β2M + β3MDIS + β4GEN + σ
  • 21. Question 1 Is there a relationship between the average final year degree mark and total tariff points on entry? Table 2 Yes. There is a positive and statistically significant relationship. Question 2 Is the completion of a work placement year associated with a higher final year degree mark? Table 3 Yes. Those students who complete a placement year have a statistically significant higher average final degree mark, which transcends a classification boundary (62.98 compared to 58.94).
  • 22. Question 3 Do students who complete a work placement year have higher total tariff points on entry? Table 4 Yes. Students opting to proceed directly to final year on average have lower total tariff points (295.78 compared to 296.59), but the difference is not statistically significant. Question 4 Do students who complete a work placement year have higher average second year performance? Table 4 Yes. Those students who complete a placement year have a statistically significant higher average second year degree mark, which does NOT transcend a classification boundary (58.14 compared to 55.95).
  • 23. Question 5 Is the average final degree mark for students taking placement higher than the average mark they achieved in second year? Table 5 Yes. Those students who complete a placement year have a statistically significant higher final year mark than the second year degree mark, which transcends a classification boundary. (62.98 compared to 58.14) Question 6 Is the average final degree mark for students opting not to take a placement year higher than the average mark they achieved in second year? Table 5 Yes, but although the difference is statistically significant it does NOT transcend a classification boundary. (56.94 compared to 55.95)
  • 24. Question 7 Does gender impact upon the final degree mark achieved by students? Table 6 Yes. Female students have statistically significant higher average marks which transcend a classification boundary (61.65 compared to 57.22) Question 8 Is the taking of a placement year a surrogate for gender? Table 7 No. Individual analysis reveals that for both male and female students those who complete a placement year have higher average final year marks which are statistically significant and represent a difference in classification (male students, 60.4 compared to 54.54, and female 63.86 compare to 58.39).
  • 25. Table 8: Ordinary Least Squares estimation of multivariate model (Full sample) Y= α0 + α1X + α2M + α3DIS + α4GEN + μ (1) α0 α1 α2 α3 α4 RA2 22.264 0.008 0.593 4.492 -1.986 0.446 (0.000)** (0.120) (0.000)** (0.000)** (0.001)** Number of observations is 530.
  • 26. Table 9: Ordinary Least Squares estimation of multivariate model (Placement students) Y= β0 + β1X + β2M + β3MDIS + β4GEN + σ (2) β0 β1 β2 β3 β4 RA2 29.680 0.009 0.433 0.085 -1.718 0.409 (0.000)** (0.091) (0.000)** (0.018)* (0.007)** Number of observations is 293.
  • 27. IMPLICATIONS  Does a work placement year results in tangible gains?  Will students be able to afford to do placements?  Students’ would appear to be more concerned with a placement year extending their period of study, which is a particular dimension of affordability.  Perhaps the answer to the question of affordability lies in more innovative ways of incorporating placement within the curriculum design of undergraduate degrees, which explicitly recognise the contribution of a work placement year to student learning and employability.
  • 28. FUTURE RESEARCH CHEP funding round 4. Student engagement and employability: An empirical investigation into the impact of a work placement year.
  • 29. FUTURE RESEARCH  This study seeks to investigate whether employability, as measured by employment at a graduate level within six months of completing university study is associated with student engagement as measured by the completion of a one year work placement. As such this study builds upon the research of Foster et al (2011), but extends it specifically into the area of student engagement and employability.
  • 30. FUTURE RESEARCH The methodology employed will consist of both parametric and non-parametric analysis, specifically employing correlation analysis and binary logistic regression. The dependent variable in the latter will be a dummy variable taking the value of 1 for those students gaining graduate level employment within six months of graduation and zero otherwise. The form of the model to be estimated is
  • 32. FUTURE RESEARCH Where, pi is the probability of a student (i) gaining graduate level employment within six months of completing university study, β0 is a constant term introduced to capture the impact of omitted variables and the independent variables, are a combination of dummy variables (for the completion of a placement year, final year degree classification, degree specialisation, the nature of the work experience gained on placement and gender) and other control variables including total tariff points on entry, and second year degree performance