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562 MULTIDIMENSIONAL MEASUREMENT<br />

Box 25.1<br />

Continued<br />

WELL BEHAVED<br />

(favourable)<br />

(unfavourable)<br />

1 Janice<br />

2 Jane<br />

3 Sharon<br />

4 Caroline<br />

5 Heather<br />

6 Richard<br />

7 Tim<br />

8 Karen<br />

9 Patrick<br />

10 Alex<br />

Source: Cohen 1977<br />

Box 25.2<br />

Intercorrelations between seven personal constructs<br />

(1) (2) (3) (4) (5) (6) (7)<br />

Intelligent (1) 53 −10 −16 83 −52 13<br />

Sociable (2) 53 −50 −59 44 −56 61<br />

Aggressive (3) −10 −50 91 −07 79 −96<br />

Noisy (4) −16 −59 91 −01 73 −93<br />

Verbally good (5) 83 44 −07 −01 −43 12<br />

Clumsy (6) −52 −56 79 73 −43 −81<br />

Well behaved (decimal points omitted) (7) 13 61 −96 −93 12 −81<br />

Source: Cohen 1977<br />

<br />

<br />

<br />

<br />

<br />

<br />

<br />

student demotivation<br />

poor student concentration<br />

undue pressure on students<br />

narrowing effect on curriculum<br />

punishing the weaker students<br />

overemphasis on memorization<br />

testing only textbo<strong>ok</strong> knowledge.<br />

These seven variables can be grouped together<br />

under the single overarching factor of ‘negative<br />

effects of examinations’. Factor analysis, working<br />

through multiple correlations, is a method for<br />

grouping together several variables under one or<br />

more common factor(s).<br />

To address factor analysis in more detail we<br />

provide a worked example. Consider the following<br />

variables concerning school effectiveness:<br />

<br />

<br />

<br />

the clarity of the direction that is set by the<br />

school leadership<br />

the ability of the leader to motivate and inspire<br />

the educators<br />

the drive and confidence of the leader

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