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266 EX POST FACTO <strong>RESEARCH</strong><br />

X<br />

O<br />

A study by Borkowsky (l970) was based upon<br />

this kind of design. He attempted to show a<br />

relationship between the quality of a music<br />

teacher’s undergraduate training (X) and his<br />

subsequent effectiveness as a teacher of his subject<br />

(O). Measures of the quality of a music teacher’s<br />

college training can include grades in specific<br />

courses, overall grade average and self-ratings,<br />

etc. Teacher effectiveness can be assessed by<br />

indices of pupil performance, pupil knowledge,<br />

pupil attitudes and judgement of experts, etc.<br />

Correlations between all measures were obtained<br />

to determine the relationship. At most, this<br />

study could show that a relationship existed,<br />

after the fact, between the quality of teacher<br />

preparation and subsequent teacher effectiveness.<br />

Where a strong relationship is found between<br />

the independent and dependent variables, three<br />

possible interpretations are open to the researcher:<br />

that the variable X has caused O.<br />

that the variable O has caused X<br />

that some third unidentified, and therefore<br />

unmeasured, variable has caused X and O.<br />

It is often the case that a researcher cannot tell<br />

which of these is correct.<br />

The value of co-relational or causal studies lies<br />

chiefly in their exploratory or suggestive character<br />

for, as we have seen, while they are not always<br />

adequate in themselves for establishing causal<br />

relationships among variables, they are a useful<br />

first step in this direction in that they do yield<br />

measures of association.<br />

In the criterion-group (or causal-comparative)<br />

approach, the investigator sets out to discover<br />

possible causes for a phenomenon being studied,<br />

by comparing the subjects in which the variable is<br />

present with similar subjects in whom it is absent.<br />

The basic design in this kind of study may be<br />

represented thus:<br />

X<br />

O 1<br />

O 2<br />

If, for example, a researcher chose such a design<br />

to investigate factors contributing to teacher<br />

effectiveness, the criterion group O 1 the effective<br />

teachers, and its counterpart O 2 , a group not<br />

showing the characteristics of the criterion group,<br />

are identified by measuring the differential effects<br />

of the groups on classes of children. The researcher<br />

may then examine X, some variable or event, such<br />

as the background, training, skills and personality<br />

of the groups, to discover what might ‘cause’ only<br />

some teachers to be effective.<br />

Criterion-group or causal-comparative studies<br />

may be seen as bridging the gap between<br />

descriptive research methods on the one hand<br />

and true experimental research on the other.<br />

Characteristics of ex post facto research<br />

In ex post facto research the researcher takes<br />

the effect (or dependent variable) and examines<br />

the data retrospectively to establish causes,<br />

relationships or associations, and their meanings.<br />

Other characteristics of ex post facto research<br />

become apparent when it is contrasted with true<br />

experimental research. Kerlinger (1970) describes<br />

the modus operandi of the experimental researcher.<br />

(‘If x, then y’ in Kerlinger’s (1970) usage. We<br />

have substituted X for x and O for y to<br />

fit in with Campbell’s and Stanley’s (1963)<br />

conventions throughout the chapter.) Kerlinger<br />

(1970) hypothesizes: if X, thenO; iffrustration,<br />

then aggression. Depending on circumstances and<br />

his own predilections in research design, he uses<br />

some method to manipulate X. He then observes<br />

O to see if concomitant variation, the variation<br />

expected or predicted from the variation in X,<br />

occurs. If it does, this is evidence for the validity of<br />

the proposition, X-O,meaning‘IfX,thenO’. Note<br />

that the scientist here predicts from a controlled<br />

X to O. Tohelphimachievecontrol,hecan<br />

use the principle of randomization and active<br />

manipulation of X and can assume, other things<br />

being equal, that O is varying as a result of the<br />

manipulation of X.<br />

In ex post facto designs, on the other hand, O is<br />

observed. Then a retrospective search for X ensues.<br />

An X is found that is plausible and agrees with

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