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3.3.2 Characteristics <strong>of</strong> Qu<strong>an</strong>titative Research<br />

Struwig <strong>an</strong>d Stead (2001: 4; 16) also mention certain <strong>characteristics</strong> <strong>of</strong> <strong>the</strong> qu<strong>an</strong>titative research<br />

approach. They are <strong>the</strong> following:<br />

3.3.2.1 Constructs <strong>an</strong>d <strong>the</strong>ir measurement<br />

Qu<strong>an</strong>titative research examines constructs or variables that are based on <strong>the</strong> hypo<strong>the</strong>sis<br />

derived from a <strong>the</strong>oretical scheme. It normally gives a weak <strong>the</strong>oretical account <strong>of</strong> how<br />

constructs are derived. Constructs, however, are <strong>the</strong> central focus in qu<strong>an</strong>titative research.<br />

To conduct qu<strong>an</strong>titative research, <strong>the</strong>se constructs must be measured. The measurements<br />

<strong>of</strong> constructs are usually done through <strong>the</strong> use <strong>of</strong> questionnaires <strong>an</strong>d/or some form <strong>of</strong><br />

structured observation.<br />

3.3.2.2 Causality<br />

Qu<strong>an</strong>titative research <strong>of</strong>ten tries to establish causal relationships between constructs.<br />

Causal relationships c<strong>an</strong> be defined as cause <strong>an</strong>d effect relationships. The frequent use <strong>of</strong><br />

independent <strong>an</strong>d dependent variables is evidence <strong>of</strong> qu<strong>an</strong>titative researchers' tendency to<br />

establish causal relationships between variables. A causal relationship between variables<br />

explains why things are <strong>the</strong> way <strong>the</strong>y are by specifying <strong>the</strong> causes <strong>the</strong>re<strong>of</strong>.<br />

3.3.2.3 Generalisation<br />

Qu<strong>an</strong>titative researchers prefer to generalise results beyond <strong>the</strong> confines <strong>of</strong> <strong>the</strong> research<br />

sample. A great deal <strong>of</strong> attention is paid to sampling issues <strong>an</strong>d particularly to <strong>the</strong><br />

representativeness <strong>of</strong> <strong>the</strong> sample. It is import<strong>an</strong>t to establish that findings c<strong>an</strong> be<br />

generalised legitimately to awider population.<br />

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