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214 SURVEYS AND DEVELOPMENTAL STUDIES<br />

Box 9.2<br />

Types of developmental research<br />

TREND STUDY<br />

Recorded<br />

data<br />

on factors<br />

a, b, c<br />

Predicted<br />

patterns<br />

Observations on a, b, c.<br />

1 2 3 4 5 6 n<br />

COHORT STUDY<br />

Sample A<br />

Sample A<br />

Sample A<br />

Sample A<br />

Sample A<br />

Observation<br />

1<br />

Observation<br />

2<br />

Observation<br />

3<br />

Observation<br />

4<br />

Observation<br />

5<br />

CROSS-SECTIONAL STUDY<br />

Sample<br />

A<br />

Sample<br />

B<br />

Sample<br />

C<br />

Sample<br />

D<br />

Sample<br />

E<br />

Retrospective<br />

SOCIAL PROCESSES<br />

Prospective<br />

OVER TIME<br />

Strengths and weaknesses of longitudinal,<br />

cohort and cross-sectional studies<br />

Longitudinal studies of the cohort analysis type<br />

have an important place in the research armoury<br />

of educational investigators. Longitudinal studies<br />

have considerable potential for yielding rich data<br />

that can trace changes over time, and with<br />

great accuracy (Gorard 2001: 86). On the other<br />

hand, they suffer from problems of attrition<br />

(participants leaving the research over time, a<br />

particular problem in panel studies which research<br />

the same individuals over time), and they can<br />

be expensive to conduct in terms of time and<br />

money (Ruspini, 2002: 71). Gorard (2001) reports<br />

astudyofcareersandidentitiesthathadaninitial<br />

response rate of between 60 and 70 per cent in the<br />

first round, and then risked dropping to 25 per cent<br />

by the third round, becoming increasingly more<br />

middle class in each wave of the study. Gorard<br />

(2001) also discusses a Youth Cohort Study in<br />

which only 45 per cent of the respondents to<strong>ok</strong> part<br />

in all three waves of the data collection. Ruspini<br />

(2002: 72) identifies an attrition rate of 78 per cent<br />

in the three waves of the European Community<br />

Household Panel survey of the United Kingdom<br />

in 1997.<br />

Ruspini (2002) also indicates how a small<br />

measurement error in a longitudinal study may<br />

be compounded over time. She gives the example<br />

of an error in income occurring at a point in<br />

time that could lead to ‘false transitions’ appearing<br />

over time in regard to poverty and unemployment<br />

(Ruspini 2002: 72).<br />

Further, long-term studies, Gorard (2001: 86)<br />

avers, face ‘a threat to internal validity’ that<br />

stems from the need ‘to test and retest the same<br />

individuals’. Dooley (2001: 120) terms this ‘pretest<br />

sensitisation’; it is also termed ‘panel conditioning’<br />

or ‘time-in sample bias’ (Ruspini, 2002: 73). Here<br />

the first interview in an interview survey can<br />

cause changes in the second interview, i.e. the<br />

first interview may set up a self-fulfilling prophecy<br />

that is recorded in the second interview. Dooley

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