an investigative analysis of the psychological characteristics and job ...

an investigative analysis of the psychological characteristics and job ... an investigative analysis of the psychological characteristics and job ...

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3.4.4 Reliability Reliability means dependability. Neuman (2003:179) states that reliability means the numerical results produced by an indicator do not vary because of characteristics of the measurement process or measurement instrument itself. Struwig and Stead (2001:130) agree with the above. They say that reliability is the extent to which test scores are accurate, consistent or stable. Neuman (2003:179) identifies three types of reliability: stability reliability, representative reliability and equivalence reliability. For the purposes of this study, only stability reliability will be discussed. 3.4.4.1 Stability Reliability 3.4.5 Validity Stability reliability is also known as Test-retest reliability. According to Struwig and Stead (2001 :131) and Neuman (2003:179), stability reliability is the extent to which atest score is reliable over aperiod of time. The final questionnaire's reliability was tested by administering the questionnaire to the same group of people at two different times. The group used for the above reliability test was the group of 75 respondents from the academic institutions within South Africa. The test scores from the two different test sessions were similar and therefore the questionnaire can be deemed reliable. According to Struwig and Stead (2001:138) the validity of a measuring instrumenfs scores refers to the extent to which the instrument measures what it is intended to measure. They elaborate further by slating that the validity of atesfs scores is related to its reliability in that if the test scores are not reliable, its scores are not valid. 8\

Neuman (2003:183) identifies eight types of validity, namely face validity, content validity, criterion validity, concurrent validity, predictive validity, construct validity, convergent validity and discriminant validity. For the purposes of this study, only face and content validity will be discussed. 3.4.5.1 Face Validity Neuman (2003: 183) is of the opinion that face validity is the easiest to achieve. According to him and Struwig and Stead (2001 :139), face validity refers to whether the items of the test appear to measure what the test claims to measure. The different items contained in the final questionnaire, e.g., role and responsibility, personality traits, abilities and characteristics, qualifications and experience clearly comprises the profile of a GEL and therefore the questionnaire measures what it claims to measure. 3.4.52 Content Validity According to Struwig and Stead (2001:139), content validity refers to the extent to which the items reflect the theoretical content domain of the construct being measured. The content validity of the researcher's measuring instruments was evaluated by a panel of experts as discussed in 3.4.2. 3.5 DATA CAPTURING AND DATA EDITING The researcher consulted various sources (Rose & Sullivan, 1993; Fink, 1995; Greenfield, 1996; Wright 1997 and Byme, 2002) on statistics and data capturing, editing, and analysis. In addition she consulted a specialist in the field of statistics. This is also recommended by Struwig and Stead (2001 :150). They mention that data analysis is a specialised area of research procedures and that the researcher should use experts in the field. 82

Neum<strong>an</strong> (2003:183) identifies eight types <strong>of</strong> validity, namely face validity, content validity, criterion<br />

validity, concurrent validity, predictive validity, construct validity, convergent validity <strong>an</strong>d<br />

discrimin<strong>an</strong>t validity. For <strong>the</strong> purposes <strong>of</strong> this study, only face <strong>an</strong>d content validity will be discussed.<br />

3.4.5.1 Face Validity<br />

Neum<strong>an</strong> (2003: 183) is <strong>of</strong> <strong>the</strong> opinion that face validity is <strong>the</strong> easiest to achieve. According<br />

to him <strong>an</strong>d Struwig <strong>an</strong>d Stead (2001 :139), face validity refers to whe<strong>the</strong>r <strong>the</strong> items <strong>of</strong> <strong>the</strong><br />

test appear to measure what <strong>the</strong> test claims to measure.<br />

The different items contained in <strong>the</strong> final questionnaire, e.g., role <strong>an</strong>d responsibility,<br />

personality traits, abilities <strong>an</strong>d <strong>characteristics</strong>, qualifications <strong>an</strong>d experience clearly<br />

comprises <strong>the</strong> pr<strong>of</strong>ile <strong>of</strong> a GEL <strong>an</strong>d <strong>the</strong>refore <strong>the</strong> questionnaire measures what it claims to<br />

measure.<br />

3.4.52 Content Validity<br />

According to Struwig <strong>an</strong>d Stead (2001:139), content validity refers to <strong>the</strong> extent to which<br />

<strong>the</strong> items reflect <strong>the</strong> <strong>the</strong>oretical content domain <strong>of</strong> <strong>the</strong> construct being measured.<br />

The content validity <strong>of</strong> <strong>the</strong> researcher's measuring instruments was evaluated by a p<strong>an</strong>el<br />

<strong>of</strong> experts as discussed in 3.4.2.<br />

3.5 DATA CAPTURING AND DATA EDITING<br />

The researcher consulted various sources (Rose & Sulliv<strong>an</strong>, 1993; Fink, 1995; Greenfield, 1996;<br />

Wright 1997 <strong>an</strong>d Byme, 2002) on statistics <strong>an</strong>d data capturing, editing, <strong>an</strong>d <strong>an</strong>alysis. In addition<br />

she consulted a specialist in <strong>the</strong> field <strong>of</strong> statistics. This is also recommended by Struwig <strong>an</strong>d Stead<br />

(2001 :150). They mention that data <strong>an</strong>alysis is a specialised area <strong>of</strong> research procedures <strong>an</strong>d that<br />

<strong>the</strong> researcher should use experts in <strong>the</strong> field.<br />

82

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