<?xml version="1.0" encoding="ISO-8859-1"?><article xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance">
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<journal-meta>
<journal-id>2222-3436</journal-id>
<journal-title><![CDATA[South African Journal of Economic and Management Sciences ]]></journal-title>
<abbrev-journal-title><![CDATA[S. Afr. j. econ. manag. sci. (Online)]]></abbrev-journal-title>
<issn>2222-3436</issn>
<publisher>
<publisher-name><![CDATA[University of Pretoria]]></publisher-name>
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<article-meta>
<article-id>S2222-34362012000300001</article-id>
<title-group>
<article-title xml:lang="en"><![CDATA[The psychological consequences of unemployment in South Africa]]></article-title>
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<contrib-group>
<contrib contrib-type="author">
<name>
<surname><![CDATA[de Witte]]></surname>
<given-names><![CDATA[Hans]]></given-names>
</name>
<xref ref-type="aff" rid="A01"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname><![CDATA[Rothmann]]></surname>
<given-names><![CDATA[Sebastiaan]]></given-names>
</name>
<xref ref-type="aff" rid="A02"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname><![CDATA[Jackson]]></surname>
<given-names><![CDATA[Leone TB]]></given-names>
</name>
<xref ref-type="aff" rid="A03"/>
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<aff id="A01">
<institution><![CDATA[,Belgium andNorth-West University Department of Psychology ]]></institution>
<addr-line><![CDATA[Vanderbijlpark ]]></addr-line>
</aff>
<aff id="A02">
<institution><![CDATA[,North-West University Optentia Research Programme ]]></institution>
<addr-line><![CDATA[Vanderbijlpark ]]></addr-line>
</aff>
<aff id="A03">
<institution><![CDATA[,North-West University Potchefstroom Business School ]]></institution>
<addr-line><![CDATA[Potchefstroom ]]></addr-line>
</aff>
<pub-date pub-type="pub">
<day>00</day>
<month>00</month>
<year>2012</year>
</pub-date>
<pub-date pub-type="epub">
<day>00</day>
<month>00</month>
<year>2012</year>
</pub-date>
<volume>15</volume>
<numero>3</numero>
<fpage>235</fpage>
<lpage>252</lpage>
<copyright-statement/>
<copyright-year/>
<self-uri xlink:href="http://www.scielo.org.za/scielo.php?script=sci_arttext&amp;pid=S2222-34362012000300001&amp;lng=en&amp;nrm=iso&amp;tlng=en"></self-uri><self-uri xlink:href="http://www.scielo.org.za/scielo.php?script=sci_abstract&amp;pid=S2222-34362012000300001&amp;lng=en&amp;nrm=iso&amp;tlng=en"></self-uri><self-uri xlink:href="http://www.scielo.org.za/scielo.php?script=sci_pdf&amp;pid=S2222-34362012000300001&amp;lng=en&amp;nrm=iso&amp;tlng=en"></self-uri><abstract abstract-type="short" xml:lang="en"><p><![CDATA[The objective of this study was to investigate the affective experiences, attitudes to work, and job application behaviour of unemployed people. A survey design was used and samples (N = 381) were drawn from unemployed people in the North West Province. The Experiences of Unemployment Questionnaire was administered. Regarding affective experiences, being unemployed was described as very unpleasant and it was associated with boredom, loneliness, uncertainty about the future, concerns about financial matters, emptiness and conflict. When it came to the participants' attitudes to work, the results showed that almost 96 per cent of them regarded work as important, particularly because it provides meaning. Regarding job application behaviour, the results showed that most of the participants would like to find a job within the month, and they expected to do so. Almost 78 per cent of the participants were asking people for a job at least once a week or more often. Most of them asked friends and acquaintances for employment information, but unemployed people also reported that they looked out for advertisements. People with poor education had the most negative experiences of unemployment and saw work as more important than did those with better education.]]></p></abstract>
<kwd-group>
<kwd lng="en"><![CDATA[unemployment]]></kwd>
<kwd lng="en"><![CDATA[experiences]]></kwd>
<kwd lng="en"><![CDATA[attitudes]]></kwd>
<kwd lng="en"><![CDATA[behaviour]]></kwd>
<kwd lng="en"><![CDATA[well-being]]></kwd>
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</front><body><![CDATA[ <p align="right"><font face="Verdana, Arial, Helvetica, sans-serif" size="2"><b>ARTICLES</b></font></p>     <p>&nbsp;</p>     <p><font face="Verdana, Arial, Helvetica, sans-serif" size="4"><b>The psychological    consequences of unemployment in South Africa</b></font></p>     <p>&nbsp;</p>     <p>&nbsp;</p>     <p><font face="Verdana, Arial, Helvetica, sans-serif" size="2"><b>Hans de Witte<sup>I</sup>;    Sebastiaan Rothmann<sup>II</sup>; Leone TB Jackson<sup>III</sup></b></font></p>     <p><font face="Verdana, Arial, Helvetica, sans-serif" size="2"><sup>I</sup>Department    of Psychology, K.U. Leuven, Belgium andNorth-West University, Vanderbijlpark<i>    <br>   </i> <sup>II</sup>Optentia Research Programme, North-West University, Vanderbijlpark<i>    <br>   </i> <sup>III</sup>Potchefstroom Business School, North-West University, Potchefstroom</font></p>     <p>&nbsp;</p>     ]]></body>
<body><![CDATA[<p>&nbsp;</p> <hr size="1" noshade>     <p><font face="Verdana, Arial, Helvetica, sans-serif" size="2"><b>ABSTRACT</b></font></p>     <p><font face="Verdana, Arial, Helvetica, sans-serif" size="2">The objective of    this study was to investigate the affective experiences, attitudes to work,    and job application behaviour of unemployed people. A survey design was used    and samples <i>(N =</i> 381) were drawn from unemployed people in the North    West Province. The Experiences of Unemployment Questionnaire was administered.    Regarding affective experiences, being unemployed was described as very unpleasant    and it was associated with boredom, loneliness, uncertainty about the future,    concerns about financial matters, emptiness and conflict. When it came to the    participants' attitudes to work, the results showed that almost 96 per cent    of them regarded work as important, particularly because it provides meaning.    Regarding job application behaviour, the results showed that most of the participants    would like to find a job within the month, and they expected to do so. Almost    78 per cent of the participants were asking people for a job at least once a    week or more often. Most of them asked friends and acquaintances for employment    information, but unemployed people also reported that they looked out for advertisements.    People with poor education had the most negative experiences of unemployment    and saw work as more important than did those with better education.</font></p>     <p><font face="Verdana, Arial, Helvetica, sans-serif" size="2"><b>Key words:</b>    unemployment, experiences, attitudes, behaviour, well-being</font></p> <hr size="1" noshade>     <p>&nbsp;</p>     <p>&nbsp;</p>     <p><font face="Verdana, Arial, Helvetica, sans-serif" size="3"><b>1 Introduction</b></font></p>     <p><font face="Verdana, Arial, Helvetica, sans-serif" size="2">Unemployment is    a serious issue in most countries in the world, but for some countries (e.g.    the United States, New Zealand, Spain and Taiwan) the problem has become severe    because of the financial crisis that developed after 2007 (Wanberg, 2012). Unemployment    has also been a serious problem facing South Africa (Contogiannis, 2007; Kingdon    &amp; Knight, 2004; National Planning Commission, 2011). According to Contogiannis    (2007), the unemployment rate in South Africa increased from 13 per cent in    1993 to 26 per cent in 2007 (excluding discouraged workers, that is, people    who had opted out of the labour market). Unemployment affects economic welfare,    production, the erosion of human capital, social exclusion, crime and social    instability (Dollard &amp; Winefield, 2002; Kingdon &amp; Knight, 2004).</font></p>     <p><font face="Verdana, Arial, Helvetica, sans-serif" size="2">The negative consequences    of unemployment for well-being have been well documented (Creed &amp; Watson,    2003; McKee-Ryan, Song, Wanberg &amp; Kinicki, 2005). Hanisch (1999) separates    the negative effects of unemployment into individual and family effects. Individual    effects include physical and psychological effects. Physical effects include    an increase in headaches; stomach aches; sleep problems; lack of energy; hypertension;    heart disease and kidney disease. Psychological effects include increased hostility,    depression, anxiety, stress, anger, fear, despair, loneliness and social isolation,    and decreased self-esteem, life satisfaction, aspiration levels, concentration    and personal identity. Family effects include an increase in spousal abuse,    marital friction, spousal depression, family conflict, and child abuse and a    decrease in family cohesion, and the well-being of children. Lucas, Clark, Georgellis    and Diener (2004) showed that, although life satisfaction is moderately stable    over time, unemployment affects this in the long term.</font></p>     <p><font face="Verdana, Arial, Helvetica, sans-serif" size="2">Research comparing    unemployed with employed people has consistently found higher levels of psychological    distress and depression, and lower levels of self-esteem among the unemployed    (McKee-Ryan et al., 2005; Waters &amp; Moore, 2001). Poor well-being in the    unemployed has also been demonstrated to be largely a concern and a consequence    of unemployment, and not the result of those with poorer health "drifting" into    that situation (Waters &amp; Moore, 2001). Although unemployment seems to have    predominantly negative effects, factors such as the employment commitment, coping    resources, cognitive appraisal and coping strategies might increase the effects    of unemployment on individual well-being (McKee-Ryan et al., 2005).</font></p>     ]]></body>
<body><![CDATA[<p><font face="Verdana, Arial, Helvetica, sans-serif" size="2">While it is crucial    to understand and document the psychological experiences of the unemployed in    South Africa, there seem to be few studies on the topic. Van der Merwe and Greef    (2003) investigated the coping mechanisms of 82 unemployed African men, while    Ribton-Turner and De Bruin (2006) studied stressors and support in a group of    eight unemployed adults in mid-career. M0ller (1993) points out that unemployed    people often "just sit around", and most of them admitted that they were bored.    Boredom and despair often featured in the respondents' descriptions of their    own activity schedules (M0ller, 1993). Unemployment (or experiences thereof)    in South Africa might be different from that in Europe. This is for the following    reasons: a) In Europe, there are social security systems, while no such system    currently exists in South Africa. Unemployed people in Europe still receive    a reasonably good income, which cannot be said of unemployed people in South    Africa. b) The South African culture is more collective than in other countries    and work might be less important for individuals in this country. Masango (2005)    suggests that being unemployed in South Africa might thus be less problematic.</font></p>     <p><font face="Verdana, Arial, Helvetica, sans-serif" size="2">However, based    on the above description of the problem, unemployment is clearly a serious problem    in the country. Furthermore, there is a lack of information on the attitudes    to work, affective experiences and job application behaviour of unemployed individuals.    We aim to fill the gap in the literature with results from a large-scale representative    sample of unemployed people in the Potchefstroom area of the North West Province    of South Africa. Information on the experiences of unemployed individuals could    be used by local, provincial, and national governments to plan and implement    strategies for assisting them.</font></p>     <p>&nbsp;</p>     <p><font face="Verdana, Arial, Helvetica, sans-serif" size="3"><b>2 Experiences,    attitudes and behaviours of unemployed people</b></font></p>     <p><font face="Verdana, Arial, Helvetica, sans-serif" size="2">According to the    International Labour Office (ILO), the unemployed comprise all those above a    specific age who were without work during the reference period (i.e. they were    not in paid employment or self-employment), were available for paid employment    or self-employment, and had taken active steps to seek paid employment or self-employment    (ILO, 2000:429). Unemployment is a complex and multifaceted construct which    involves situational (non-employment), motivational (seeking work) and medical    and legal aspects (being available for work) (Paul &amp; Moser, 2006:597). Unemployed    people are therefore those who are able to work, are allowed to work, and prefer    to work.</font></p>     <p><font face="Verdana, Arial, Helvetica, sans-serif" size="2">Given the above    definition, unemployed people should be studied not only in terms of experiences    (associated with being unemployed), but also in terms of their availability    for work (employment commitment), and job application behaviour (Paul &amp;    Moser, 2006). De Witte, Hooge and Vanbelle (2010) developed a model which focuses    on unemployed people's affective experiences (well-being), cognitions (attitudes    towards work), and behaviours relating to unemployment (job application behaviours).    The model by De Witte et al. (2010) was applied in Europe to aid understanding    of the attitudes to work, affective experiences, and behaviours of unemployed    people, but it has not yet been applied in South Africa.</font></p>     <p><font face="Verdana, Arial, Helvetica, sans-serif" size="2"><b>2.1 Affective    experiences of unemployed people</b></font></p>     <p><font face="Verdana, Arial, Helvetica, sans-serif" size="2">The affective experiences    of unemployed people are relevant to their well-being. The latent deprivation    theory (Jahoda, 1982) is the most influential for understanding the affective    experiences of unemployed people (Wanberg, 2012). Jahoda argued that employment    has not only the manifest function of earning a living, but also five latent    functions. Deprivation of the latent functions has a negative impact on psychological    well-being. These latent functions, which are associated with the satisfaction    of basic human needs, include the establishment of a daily time structure, provision    of regular shared experience and contacts outside the nuclear family, information    on personal identity, a link with the collective purpose and the enforcement    of regular activity (Jahoda, 1982). According to Jahoda (1982), adults need    clear time structures and the possibility of filling their days with planned    activities. The absence of such a structure results in boredom and waste of    time. People also need regular shared experience and contacts outside the nuclear    family. These cannot be replaced by the intensification of family life, because    they provide more information and more opportunities for judgement and rational    appraisal of other human beings with their unique perspectives. Information    about personal identity is shaped by people's social status, which depends on    the society in which they live. People tend to see themselves as others see    them, but unemployed people see themselves as having no status at all, which    is detrimental to their well-being. Furthermore, people need a collective purpose    that transcends individual purposes, as well as the feeling of being useful,    and being needed by other people. If there is no collective purpose, the result    will be purposelessness and meaning-lessness. Finally, regular activity is an    important determinant of personal well-being.</font></p>     <p><font face="Verdana, Arial, Helvetica, sans-serif" size="2">Studies have shown    that unemployed people tend to report less access to the latent functions than    do those employed, while those with less access generally experience lowered    physical and psychological well-being (Creed &amp; Macintyre, 2001; Creed, Muller    &amp; Machin, 2001; Evans &amp; Haworth 1991; Haworth &amp; Ducker 1991; McKee-Ryan    et al., 2005; Paul &amp; Batinic, 2009; Wanberg, Griffiths &amp; Gavin, 1997).    It seems that the latent functions might be partially provided in activities    other than employment, such as meaningful leisure activities or attending work-related    training (Creed, Hicks &amp; Machin, 1998).</font></p>     <p><font face="Verdana, Arial, Helvetica, sans-serif" size="2">Warr (1987) has    developed the <i>vitamin model,</i> which is similar in many respects to Jahoda's    (1982) model. According to Warr (1987), insufficiency or excess of nine environmental    features are responsible for psychological well-being. The nine features, which    largely mirror Jahoda's six consequences, are: opportunity for control; use    of skills; interpersonal contact; external goal and task demands; variety; environmental    clarity; availability of money; physical security; and valued social position.    Based on Warr's (1987) approach, it would be inappropriate to suggest that unemployment    is inevitably destructive or that employment is inevitably constructive: "...    the impact of the transition from paid work to unemployment will be a function    of changes which occur in the nine primary environmental features. In most cases,    these shifts will impair mental health, but the transition can sometimes be    neutral or even beneficial in its effect" (Warr, 1987:355).</font></p>     ]]></body>
<body><![CDATA[<p><font face="Verdana, Arial, Helvetica, sans-serif" size="2">According to Herbert,    Drebing, Mueller and Van Ormer (2006), the effects of employment and unemployment    can be analysed in terms of benefits and costs. The benefits of employment include    income benefits; having structured time; contact with other people; and a sense    of identity, both individual and collective (Jahoda, 1982). Potential costs    associated with working include increased stress and the loss of leisure time.    On the other hand, some benefits of unemployment include increased leisure time    or time for other life activities. The costs of unemployment include financial    stress, isolation and low self-esteem (Feather, 1990; Price, Choi &amp; Vinokur,    2002; Winefield, Winefield, Tiggeman &amp; Goldney, 1991).</font></p>     <p><font face="Verdana, Arial, Helvetica, sans-serif" size="2">Comparative analyses    indicate that the type of job search motivation people experience is an important    predictor of their unemployment experience and well-being (Vansteenkiste, Lens,    De Witte &amp; Feather, 2005). Feather and Bond (1983) found a positive association    between levels of self-esteem and the structured, purposeful use of time. Further,    unemployed respondents (in comparison with employed respondents) showed less    engagement, less direction, and less routine in their use of time. Winefield,    Tiggeman and Winefield (1992) also found that engaging in purposeful activities    relieves the stress associated with both unemployment and unsatisfactory employment.</font></p>     <p><font face="Verdana, Arial, Helvetica, sans-serif" size="2"><b>2.2 Unemployed    people's attitudes towards work</b></font></p>     <p><font face="Verdana, Arial, Helvetica, sans-serif" size="2">Unemployed people's    attitudes towards work can be studied in terms of the importance they attach    to work. In the unemployment literature, this has been studied in terms of work    involvement or employment commitment (Warr, Cook &amp; Wall, 1979), the Protestant    work ethic (Mirels &amp; Garrett, 1971), and the valence of work (Feather, 1990).</font></p>     <p><font face="Verdana, Arial, Helvetica, sans-serif" size="2">Warr et al. (1979:130)    define employment commitment as "the extent to which a person wants to be engaged    in work". Employment commitment (also referred to as work-role centrality) indicates    the importance of work to an individual's sense of self (McKee-Ryan et al.,    2005). Work-role centrality may stem from Protestant work ethic socialisation    or from a belief that engaging in activities such as work has a lasting effect    on an individual's life satisfaction (Paul &amp; Moser, 2006; Seligman, 2002).    Work gives people the opportunity of using their strengths in the service of    something larger than the self, which contributes to meaning in life (Peterson,    Park &amp; Seligman, 2005; Seligman, 2002; Wrzesniewski, McCauley, Rozin &amp;    Schwartz, 1997).</font></p>     <p><font face="Verdana, Arial, Helvetica, sans-serif" size="2">Paul and Moser    (2006) found that the employment commitment of both employed and unemployed    people was high. However, employed people showed a marginally stronger level    of employment commitment. Basing their approach on consistency theory (Grawe,    2004), Paul and Moser (2008) explain the unwell-being, psychological distress    and dissatisfaction of unemployed people in terms of the incongruence between    their goals and their perceived goal attainment. Individuals who are strongly    committed to work will see their job search as incongruent if it is unsuccessful,    with detrimental consequences. Employment commitment could mitigate or buffer    the negative consequences of unemployment (Fryer &amp; Fagin, 1993; Fryer &amp;    Payne, 1984).</font></p>     <p><font face="Verdana, Arial, Helvetica, sans-serif" size="2"><b>2.3</b>&nbsp;<b>Job    application behaviours of unemployed people</b></font></p>     <p><font face="Verdana, Arial, Helvetica, sans-serif" size="2">Studies of the    predictors of job search among unemployed people have often used an attitude-behaviour    model (Van Hooft, Born, Teris, Van der Flier &amp; Blonk, 2004). According to    the theory of reasoned action, the immediate antecedent of job search behaviour    is the intention to look for a job (Van Hooft et al., 2004). Job search intention    in turn is predicted by a person's adhering to a positive or negative evaluation    of job search behaviour and the perception that there is social pressure to    look for a job. Furthermore, in the context of job seeking, individuals' perceived    control over their actions affects their perceptions of control over job seeking    behaviour, such as when people are not sure how to apply for a job or even how    to write a letter of application (Van Hooft et al., 2004).</font></p>     <p><font face="Verdana, Arial, Helvetica, sans-serif" size="2">Active job search    is a form of problem-focused coping (McKee-Ryan et al., 2005), and is an important    predictor of reemployment (Kanfer, Wanberg &amp; Kantrowitz, 2001). McKee-Ryan    et al. (2005) point out that active job seeking behaviour is often associated    with decreased well-being, particularly because job seeking is often discouraging,    with its associations with rejection and uncertainty. Individuals who are actively    seeking a job might feel pressured to accept almost any job, including one of    low quality. According to De Witte et al. (2010), reducing the value of work    might become a coping strategy for decreasing the negative experiences associated    with unemployment.</font></p>     <p><font face="Verdana, Arial, Helvetica, sans-serif" size="2"><b>2.4</b>&nbsp;<b>The    effects of demographic factors</b></font></p>     ]]></body>
<body><![CDATA[<p><font face="Verdana, Arial, Helvetica, sans-serif" size="2">The demographic    group in which unemployed people find themselves might affect their experiences,    attitudes and behaviours (Kingdon &amp; Knight, 2004). Six demographic factors    were relevant to this study: gender, race, age, qualification, time unemployed    and employment history.</font></p>     <p><font face="Verdana, Arial, Helvetica, sans-serif" size="2"><i>Race</i> might    affect the experiences, attitudes and behaviours of unemployed people, especially    because African, coloured and Indian people have traditionally been the victims    of discrimination in South Africa. According to the National Planning Commission    (2011), decades of racial discrimination have confined black people to menial    labour, poor wages, poor-quality schooling and low levels of income. As pointed    out by Wanberg (2012), differential skills, location and discrimination by employers    affect unemployment rates, which could also impact on the experiences, attitudes    and behaviours of those discriminated against.</font></p>     <p><font face="Verdana, Arial, Helvetica, sans-serif" size="2">According to Kingdon    and Knight (2004), young and uneducated African people living in rural areas    are the most vulnerable to unemployment. The writers point out that rural unemployment    rates are higher than urban rates, which is atypical of other countries and    is explained by historical policies restricting mobility. Also, many unemployed    people in South Africa have never held a job. However, expanding education and    skills development will reduce overall unemployment (Wanberg, 2012).</font></p>     <p><font face="Verdana, Arial, Helvetica, sans-serif" size="2">Unemployed males    and females might differ regarding experiences, attitudes and behaviours for    various reasons. First, males might be more inclined to experience unemployment    negatively because of the sex role stereotypes that make males the breadwinners.    Second, females might find it more difficult to get jobs because of gender discrimination,    which could affect their affective experiences (Wanberg, 2012).</font></p>     <p><font face="Verdana, Arial, Helvetica, sans-serif" size="2">When it comes to    age, older people might experience unemployment more negatively than younger    people do, especially if they find it difficult to get a job (Wanberg, 2012).    According to a diagnostic overview by the National Planning Commission (2011),    unemployment is experienced mostly by young people (15-34 years), who are also    poorly prepared for work.</font></p>     <p><font face="Verdana, Arial, Helvetica, sans-serif" size="2">De Witte et al.    (2010) found that people who were unemployed in the short term experienced more    psychological distress, showed more employment commitment and applied for jobs    more often than those who were unemployed in the long term. They attributed    these findings to an adaptation process that took place in long-term unemployed    people whereby their psychological well-being increased after a while. However,    these findings should be interpreted with caution, given that the unemployment    contexts in South Africa and Belgium differ. For instance, unemployment in South    Africa is accompanied by poverty and the absence of social grants and other    forms of support from the government.</font></p>     <p><font face="Verdana, Arial, Helvetica, sans-serif" size="2">Previous employment    experience is an important factor affecting the experiences, attitudes and behaviours    of unemployed people. Such experience might have empowered the individual with    job-specific skills and competencies, but could also have resulted in the level    of knowledge and skills required to work with others in an organisational context    (National Planning Commission, 2011; Wanberg, 2012).</font></p>     <p>&nbsp;</p>     <p><font face="Verdana, Arial, Helvetica, sans-serif" size="3"><b>3 Research objective</b></font></p>     <p><font face="Verdana, Arial, Helvetica, sans-serif" size="2">The objective of    this study was to investigate the attitudes to work, affective experiences and    job application behaviour of unemployed people in the Potchefstroom area of    the North West Province.</font></p>     ]]></body>
<body><![CDATA[<p><font face="Verdana, Arial, Helvetica, sans-serif" size="2">The following hypotheses    are set, based on the discussion above:</font></p>     <p><font face="Verdana, Arial, Helvetica, sans-serif" size="2">Hypothesis 1: People    in various race groups differ in their experiences of unemployment, the importance    of work and job application behaviours.</font></p>     <p><font face="Verdana, Arial, Helvetica, sans-serif" size="2">Hypothesis 2: Males    and females differ in their experiences of unemployment, the importance of work    and job application behaviours.</font></p>     <p><font face="Verdana, Arial, Helvetica, sans-serif" size="2">Hypothesis 3: People    with different qualifications differ in their experiences of unemployment, the    importance of work and job application behaviours.</font></p>     <p><font face="Verdana, Arial, Helvetica, sans-serif" size="2">Hypothesis 4: People    in different age groups differ in their experiences of unemployment, the importance    of work and job application behaviours.</font></p>     <p><font face="Verdana, Arial, Helvetica, sans-serif" size="2">Hypothesis 5: People    with different employment histories differ in their experiences of unemployment,    the importance of work and job application behaviours.</font></p>     <p><font face="Verdana, Arial, Helvetica, sans-serif" size="2">Hypothesis 6: People    who have been unemployed for a longer period differ from those who are unemployed    for a shorter period in their experiences of unemployment, the importance of    work and job application behaviours.</font></p>     <p>&nbsp;</p>     <p><font face="Verdana, Arial, Helvetica, sans-serif" size="3"><b>4 Method 4.1    Research design</b></font></p>     <p><font face="Verdana, Arial, Helvetica, sans-serif" size="2">A cross-sectional    survey design was used to investigate the psychological experiences of unemployed    people (Howell, 2008). The research is exploratory and descriptive because very    limited research has been carried out on the experiences of unemployed people    in South Africa.</font></p>     ]]></body>
<body><![CDATA[<p><font face="Verdana, Arial, Helvetica, sans-serif" size="2"><b>4.2 Participants</b></font></p>     <p><font face="Verdana, Arial, Helvetica, sans-serif" size="2">The total population    is a stratified sample of individuals who were unemployed at the time of the    study <i>(N</i> = 381). The participants were sampled from three areas: Potchefstroom    (mainly white = 21 per cent), Promosa (Coloured = 54 per cent) and Ikageng (African    = 24 per cent). The population consisted of both females and males, whether    married, single, divorced, widow or widowered. The majority of the respondents    fell between the ages of 17 and 30 years (54.4 per cent), with the minority    (7.0 per cent) of respondents being older than 50 years. The participants' characteristics    are reported in <a href="#t1">Table 1</a>.</font></p>     <p><a name="t1"></a></p>     <p>&nbsp;</p>     <p align="center"><img src="/img/revistas/sajems/v15n3/01t01.jpg"></p>     <p>&nbsp;</p>     <p><font face="Verdana, Arial, Helvetica, sans-serif" size="2">The majority of    the participants were male (53.5 per cent), preferred Afrikaans as the language    of communication (65.4 per cent), and were single (70.6 per cent). A total of    57.3 per cent was between 17 and 30 years of age. Further, 24.9 per cent of    the participants were occasionally employed and 20.5 per cent of them were almost    always unemployed. A total of 11.3 per cent had been unemployed for longer than    7 years.</font></p>     <p><font face="Verdana, Arial, Helvetica, sans-serif" size="2"><b>4.3 Measuring    instrument</b></font></p>     <p><font face="Verdana, Arial, Helvetica, sans-serif" size="2">The Experiences    of Unemployment Questionnaire (EUQ) was developed to measure the participants'    experiences, behaviour and well-being for the purposes of this study. The EUQ    was developed according to the model and questionnaire by De Witte et al. (2010).    In line with the conceptualisation in this study, the EUQ included questions    concerning unemployed people's affective experiences, attitudes towards work,    and job application behaviour. The questionnaire was divided into four sections.    Section 1 gathered demographic information, including gender, home language,    marital status and highest qualification. The three dimensions (i.e. affective    experiences, the attitude to work, and job application behaviour) were measured    in the next three sections by a short-cut to the variable (i.e. a brief question    summarising the issue), a list of items, and a question on the evolution of    the specific concept, in order to establish whether or not it remained stable    over time.</font></p>     <p><font face="Verdana, Arial, Helvetica, sans-serif" size="2">Section 2 focused    on the affective experiences of the unemployed person. The items were developed    on the basis of Jahoda's (1982) model, and adapted according to research in    the Netherlands and Belgium (De Witte et al., 2010). The participants were asked    to indicate the extent to which their typical day was filled with content or    activity (regular activity); their life was temporally organised and structured    (time structure); they were meeting people and socialising (shared experience);    they felt they were useful members of society (collective purpose); they were    appreciated by other people (status); and felt confident and self-respected    (personal identity). For instance, one question was: "How does it feel to be    unemployed?" which should be answered on a scale ranging from 1 <i>(very pleasant)</i>    to 5 <i>(very unpleasant).</i> Another question was: "How often do you experience    the following?: feelings of boredom; difficulty surviving financially; uncertainty    about the future; saving on personal expenditure; feeling lonely and empty;    experiencing conflict; decreased self-confidence and self-esteem; how to use    time; extent of social support; not feeling part of society; and feeling relaxed.    A three-point scale was used, varying from 1 <i>(often)</i> to 3 <i>(never).</i>    Also included was a question that tapped into the temporal dimension of unemployment    ("How do you feel about being unemployed?"), on a scale ranging from 1 <i>(feel    better than before)</i> to 4 <i>(never felt bad).</i></font></p>     ]]></body>
<body><![CDATA[<p><font face="Verdana, Arial, Helvetica, sans-serif" size="2">Section 3 focused    on the importance of work. The participants' desire to be in paid employment    was assessed through the Employment Commitment Scale of Warr et al. (1979).    Typical questions were: "How important is it to have a job?" with an answer    scale ranging from 1 <i>(very important)</i> to 5 <i>(very unimportant)</i>    and "How do you feel about not having a job at this moment?" with an answer    scale ranging from 1 <i>(job became more important)</i> to 4 <i>(job was never    important).</i></font></p>     <p><font face="Verdana, Arial, Helvetica, sans-serif" size="2">Section 4 focuses    on job application behaviour. Questions include: "When would you like to find    a job?" with an answer scale ranging from 1 (within a month) to 7 (never), and    "When do you expect to find a job?" with an answer scale ranging from 1 <i>(within    a month)</i> to 7 <i>(never).</i> Job application behaviour was measured by    presenting five different behaviours (e.g. "Search for advertisements") which    had to be scored according to the frequency of behaving in this way in the recent    past (scale ranging from 0 <i>(never)</i> to 5 (70 <i>times or more).</i></font></p>     <p><font face="Verdana, Arial, Helvetica, sans-serif" size="2"><b>4.4 Procedure</b></font></p>     <p><font face="Verdana, Arial, Helvetica, sans-serif" size="2">The study, which    formed part of a larger project on experiences of unemployment in the North    West Province, was initiated during 2005&nbsp;after discussions with the executive    mayor of Potchefstroom (in the North West Province). The project was planned    during 2006&nbsp;and funding was obtained from the National Research Foundation.    During June 2006, the researchers implemented the project. Literature searches    were conducted, while there were interviews and focus groups to develop the    questionnaire in English. It was then translated into Afrikaans and Setswana    by professional translators. A process of back-translation ensured that the    meaning of the words in the different languages was the same throughout. Thereafter,    questionnaires were presented to experts to be checked for face validity and    final changes were made. Three fieldworkers (who were able to speak Afrikaans,    English and/or Tswana) were used to administer the questionnaires. The researchers,    assisted by language practitioners, trained the fieldworkers prior to the data    gathering.</font></p>     <p><font face="Verdana, Arial, Helvetica, sans-serif" size="2">Fieldwork took    place during July 2006. Unemployed people were randomly selected via door-to-door    selection in different areas of the town and neighbourhoods. Given the poor    educational qualifications of most unemployed people, field workers conducted    structured interviews with all the participants and their responses were recorded    on the questionnaires. The data were captured by a computer program and checked    for mistakes. Finally, the data set was prepared for statistical analysis.</font></p>     <p><font face="Verdana, Arial, Helvetica, sans-serif" size="2"><b>4.5 Statistical    analysis</b></font></p>     <p><font face="Verdana, Arial, Helvetica, sans-serif" size="2">The statistical    analysis was carried out with the help of the SPSS program (SPSS Inc., 2009).    Descriptive statistics (frequency tables) were used to analyse the data. A frequency    table lists items together according to the number of times, or frequency, the    items occurred. Exploratory factor analyses and Cronbach alpha coefficients    were used to assess the validity and reliability of the constructs measured    in this study. One-way analysis of variance (ANOVA) was used to determine the    significance of differences between the scores of the demographic groups.</font></p>     <p>&nbsp;</p>     <p><font face="Verdana, Arial, Helvetica, sans-serif" size="3"><b>5 Results</b></font></p>     <p><font face="Verdana, Arial, Helvetica, sans-serif" size="2"><b>5.1 Descriptive    statistics, factor analysis and reliability</b></font></p>     ]]></body>
<body><![CDATA[<p><font face="Verdana, Arial, Helvetica, sans-serif" size="2"><i>Affective experiences    of unemployed people</i> Most of the participants (59.6 per cent) experienced    unemployment as very unpleasant. Only 8.7 per cent of the participants reported    that it felt pleasant or very pleasant to be unemployed. Furthermore, 72.7 per    cent of the participants reported that they felt worse than before because they    did not have a job. A total of 5.2 per cent of the participants reported that    they never felt bad about being unemployed. <a href="#t2">Table 2</a> shows    the experiences of unemployed people in more detail.</font></p>     <p><a name="t2"></a></p>     <p>&nbsp;</p>     <p align="center"><img src="/img/revistas/sajems/v15n3/01t02.jpg"></p>     <p>&nbsp;</p>     <p><font face="Verdana, Arial, Helvetica, sans-serif" size="2"><a href="#t2">Table    2</a> shows that a large percentage of participants experience boredom; difficulty    in surviving financially; saving on personal expenditure; and uncertainty about    the future. A relatively large number of participants experienced feelings of    emptiness and lone- liness; poor social support; conflict at home; and low self-esteem    and self-confidence. Interestingly, a substantial percentage of the participants    felt that they were no longer part of society; never felt relaxed when unemployed;    and did not know how to spend their time since being unemployed. Advantages    of being unemployed included doing things they wanted to do and spending time    with their families.</font></p>     <p><font face="Verdana, Arial, Helvetica, sans-serif" size="2"><i>Unemployed people's    commitment to work</i></font></p>     <p><font face="Verdana, Arial, Helvetica, sans-serif" size="2">A total of 74.8    per cent of the participants reported that having a job became more important    than before, while only 8.9 per cent reported that it was less important. <a href="#t3">Table    3</a> shows the evaluation of the items measuring employment commitment.</font></p>     <p><a name="t3"></a></p>     <p>&nbsp;</p>     ]]></body>
<body><![CDATA[<p align="center"><img src="/img/revistas/sajems/v15n3/01t03.jpg"></p>     <p>&nbsp;</p>     <p><font face="Verdana, Arial, Helvetica, sans-serif" size="2"><a href="#t3">Table    3</a> shows that most of the participants reported that work contributed to    a meaningful life. A large percentage of the participants found it important    to have work. Indeed, a large number of participants regarded work as the most    important aspect of life. In fact, 70.6 per cent agreed that it was better to    accept any job than to be unemployed. In addition, most of the participants    reported that they could enjoy leisure time only if they had worked for it and    that they had to work to be part of society.</font></p>     <p><font face="Verdana, Arial, Helvetica, sans-serif" size="2"><i>Job application    behaviour of unemployed people</i></font></p>     <p><font face="Verdana, Arial, Helvetica, sans-serif" size="2">A total of 62.5    per cent of unemployed people looked for work at least once a week, while only    6.6 per cent were not looking for a job at the time of the interview. Furthermore,    60 per cent of the participants were making more effort than before to find    jobs, while 15.2 per cent were making less effort, and 3.7 per cent had not    looked for a job at all. The job-seeking behaviours of unemployed individuals    are reported in <a href="#t4">Table 4</a>.</font></p>     <p><a name="t4"></a></p>     <p>&nbsp;</p>     <p align="center"><img src="/img/revistas/sajems/v15n3/01t04.jpg"></p>     <p>&nbsp;</p>     <p><font face="Verdana, Arial, Helvetica, sans-serif" size="2"><a href="#t4">Table    4</a> shows that 47.5 per cent of unemployed individuals had inquired whether    work was available 10 times or more. A total of 45.9 per cent of the participants    had searched for advertisements 10 times or more. Only 42.0 per cent of the    participants had submitted applications 10 times or more.</font></p>     ]]></body>
<body><![CDATA[<p><font face="Verdana, Arial, Helvetica, sans-serif" size="2"><a href="#t5">Table    5</a> indicates unemployed individuals' expectations as to finding a job.</font></p>     <p><a name="T5"></a></p>     <p>&nbsp;</p>     <p align="center"><img src="/img/revistas/sajems/v15n3/01t05.jpg"></p>     <p>&nbsp;</p>     <p><font face="Verdana, Arial, Helvetica, sans-serif" size="2"><a href="#t5">Table    5</a> shows that 87.1 per cent of the participants would prefer to find a job    within a month. Further, 75.6 per cent expected to find work within a month.    42.3 per cent of the participants asked for a job every day, with 34.6 per cent    asking once, twice or three times, while 6.3 per cent were not looking for a    job at that time. Only 4.2 per cent of the participants never enquired about    the availability of work, while 9.2 per cent never presented themselves for    work.</font></p>     <p><font face="Verdana, Arial, Helvetica, sans-serif" size="2"><i>Factor analysis</i></font></p>     <p><font face="Verdana, Arial, Helvetica, sans-serif" size="2">Exploratory factor    analysis was used to explore the factor structure of the EUQ. A simple principal    component analysis was carried out on the 26 items of the EUQ. An analysis of    the eigenvalues (&gt; 1.00; Tabachnick &amp; Fidell, 2007) indicated that four    factors explained 45.65 per cent of the variance. The scree plot confirmed that    four factors could be extracted. A principal factor analysis with a direct Oblimin    rotation was then performed. The results of the principal factor analysis with    loadings of variables on factors and communalities (h<sup>2</sup>) are shown    in <a href="/img/revistas/sajems/v15n3/01t06.jpg">Table 6</a>.</font></p>     <p><font face="Verdana, Arial, Helvetica, sans-serif" size="2">Items were retained    for further analyses if their factor loadings were higher than 0.30 (Tabachnick    &amp; Fidell, 2007).</font></p>     <p><font face="Verdana, Arial, Helvetica, sans-serif" size="2"><a href="/img/revistas/sajems/v15n3/01t06.jpg" target="_blank">Table    6</a> shows that four factors were extracted. The first factor, Negative Experiences,    included items such as decreased self-worth/self-esteem; loss of self-confidence;    feeling disconnected from society'; feelings of emptiness; uncertainty; conflict;    loneliness; and ;boredom. The second factor, Application Behaviour, included    items which described behaviours triggered by unemployment, e.g. enquiring whether    work was available and spontaneously presenting themselves to possible employers,    submitting applications and searching for advertisements. The third factor,    Importance of Work, referred to the value of work in a meaningful life and to    feeling part of society. The fourth factor, Positive Experiences, included items    about the benefits of unemployment in terms of social support, time for family,    relaxing and leisure time. Two items, "Know how to spend time" and "Save on    personal expenditure", showed low communalities, indicating that these items    were not well-represented by the extracted factors.</font></p>     ]]></body>
<body><![CDATA[<p><font face="Verdana, Arial, Helvetica, sans-serif" size="2"><i>Descriptive    statistics</i></font></p>     <p><font face="Verdana, Arial, Helvetica, sans-serif" size="2">The descriptive    statistics, alpha coefficients and Pearson correlations of the scales of the    EUQ are reported in <a href="/img/revistas/sajems/v15n3/01t07.jpg">Table 7</a>.    The minimum and maximum values are included to facilitate the interpretation    of the mean scores. Further, internal consistencies and correlations of the    scales are reported to assist in forming reliable dimensions that could be used    when comparing demographic groups. Further, the correlations between dimensions    were computed to assess whether multivariate analysis of variance (MANOVA) or    one-way analysis of variance (ANOVA) should be used to study differences between    demographic groups. MANOVA is recommended when the scales are at least moderately    related (Tabachnick &amp; Fidell, 2007).</font></p>     <p><font face="Verdana, Arial, Helvetica, sans-serif" size="2"><a href="/img/revistas/sajems/v15n3/01t07.jpg" target="_blank">Table    7</a> shows that the alpha coefficients of the scales were acceptable, except    for positive experiences, which was lower than the cut-off value of 0.70 (Nunnally    &amp; Bernstein, 1994). The Pearson correlations show a statistically significant    correlation between the importance of work and negative experiences. Statistically,    application behaviour is significantly and negatively related to negative experiences    of unemployment. Application behaviour is related to positive experiences of    unemployment. Given the small correlations between some of the scales, it was    decided to use ANOVA rather than MANOVA in the subsequent analyses.</font></p>     <p><font face="Verdana, Arial, Helvetica, sans-serif" size="2"><i>Differences    between biographical groups</i></font></p>     <p><font face="Verdana, Arial, Helvetica, sans-serif" size="2">ANOVA followed    next to investigate the relationship between affective experiences, the importance    of work and application behaviour of various groups, including race, gender,    age, qualification, time unemployed and employment history. The results of these    comparisons are reported in <a href="/img/revistas/sajems/v15n3/01t08.jpg">Table    8</a>.</font></p>     <p><font face="Verdana, Arial, Helvetica, sans-serif" size="2"><a href="/img/revistas/sajems/v15n3/01t08.jpg" target="_blank">Table    8</a> reflects the significant effect of qualification on the negative experiences    of unemployment (F(<sub>3,17</sub>) = 4.79, <i>p</i> &lt; 0.01; </font><font  size="2">&#951;</font><font face="Verdana, Arial, Helvetica, sans-serif" size="2"><sup>2</sup>    = 0.04). Although the extent of the effect was small (4 per cent of the variance    explained), the results showed that people with a qualification of Grade 8 and    lower (Mean = 1.42, <i>SD</i> = 0.39) experienced unemployment more negatively    than did people with Grade 11 and 12 (Mean = 1.68. <i>SD</i> = 0.50). Qualification    also had a statistically significant effect on the importance of work <i>(F</i>(3,    317) = 7.08, <i>p</i> &lt; 0.01; </font><font  size="2">&#951;</font><font face="Verdana, Arial, Helvetica, sans-serif" size="2"><sup>2</sup>    = 0.06). Although the effect size was small (6 per cent of the variance explained),    the results showed that people with Grade 8 and lower (Mean = 1.18. <i>SD</i>    = 0.32) and people with Grade 9 and 10 (Mean = 1.29. <i>SD</i> = 0.38) found    work to be more important than did people with Grade 11 and 12 (Mean = 1.40,    <i>SD</i> = 0.40). Based on these findings, only hypothesis 3 is partially accepted.</font></p>     <p><font face="Verdana, Arial, Helvetica, sans-serif" size="2"><a href="/img/revistas/sajems/v15n3/01t08.jpg">Table    8</a> shows that no statistically significant differences were found between    the affective unemployment experiences, the importance of work and application    behaviour of different race groups <i>(hypothesis</i> 7), males and females    <i>(hypothesis</i> 2), different age groups <i>(hypothesis</i> 4), different    employment history <i>(hypothesis 5)</i> and different periods of time unemployed    <i>(hypothesis</i> 6). These hypotheses are rejected. The reason why few differences    between affective unemployment experiences, importance of work and application    behaviour demographic groups were found is that most unemployed people experience    unemployment intensely negatively, they regard work as important and they reported    strong application behaviour.</font></p>     <p>&nbsp;</p>     <p><font face="Verdana, Arial, Helvetica, sans-serif" size="3"><b>6 Discussion</b></font></p>     <p><font face="Verdana, Arial, Helvetica, sans-serif" size="2">The objective of    this study was to investigate the attitudes to work, affective experiences and    job application behaviour of unemployed people in the Potchefstroom area of    the North West Province. Exploratory factor analysis resulted in four factors,    i.e. negative and positive experiences of unemployment, the importance of work    and job application behaviour. Qualification affected negative experiences of    unemployment and the importance of work. Compared with people who had higher    schooling levels, those with less schooling experienced unemployment more negatively    and found work to be more important. When it came to the participants' affective    experiences, the results showed that more than 80 per cent of them experienced    unemployment as unpleasant. Boredom, uncer- tainty about the future, concerns    about financial matters, emptiness, and conflict seemed to contribute to the    unpleasantness. Regarding the participants' cognitive experiences (importance    of work), the results showed that almost 96 per cent of them regarded work as    important, especially because it gave meaning. The results clearly indicated    that participants would like to find jobs within a month.</font></p>     ]]></body>
<body><![CDATA[<p><font face="Verdana, Arial, Helvetica, sans-serif" size="2">The results of    this study showed that four factors, negative experiences of unemployment, positive    experiences of unemployment, the importance of work and job application behaviour    represented the constructs in this study. These factors, which correspond to    the three factors reported by De Witte et al. (2010), can be defined as follows:    Negative affective experiences of unemployment refer to decreased self-worth/self-esteem;    loss of self-confidence; feeling disconnected from society; and feelings of    emptiness, uncertainty, conflict, loneliness and boredom. Such negative affective    experiences are associated with the deprivation of latent functions, such as    the establishment of a daily time structure; provision of regular shared experience    and contacts outside the nuclear family; information on personal identity; a    link with the collective purpose; and enforcement of regular activity (Jahoda,    1982). Studies (Creed &amp; Macintyre, 2001; Creed et al., 2001; Evans &amp;    Haworth, 1991; Haworth &amp; Ducker, 1991; McKee-Ryan et al., 2005; Paul &amp;    Batinic, 2009; Wanberg et al., 1997) showed that unemployed people reported    less access to the latent functions than those who were employed, and that those    with less access generally experienced lowered psychological well-being.</font></p>     <p><font face="Verdana, Arial, Helvetica, sans-serif" size="2">The negative affective    experiences of unemployed people in this study correlate with the abovementioned    theoretical explanation and empirical results. The results showed that unemployment    was experienced as unpleasant by almost all the participants, and only a small    percentage experienced it as pleasant. Negative affective experiences included    boredom, finding it difficult to survive financially, uncertainty, loneliness    and emptiness. Positive experiences included spending time with family and doing    things that were valued (but only 40 per cent of the participants). These findings    correlate with international findings on the topic (e.g. De Witte et al., 2010;    Wanberg, 2012). The profile for the affective experiences of unemployment in    South Africa is thus not much different from that found internationally.</font></p>     <p><font face="Verdana, Arial, Helvetica, sans-serif" size="2">Jahoda (1982) maintained    that time structure is an important latent benefit of work. Indeed, boredom    proved to be the experience with the highest frequency in this study. A study    by M0ller (1993) also concluded that some respondents often or sometimes "just    sit around", while most of them admitted that they were bored. Boredom and despair    were often associated with the descriptions of respondents' own activity schedule    (M0ller, 1993). The loss of self-esteem was another issue experienced by the    participants in this study. The loss of self-esteem among the unemployed is    thought to be a reflection of both society and the individual, and the loss    of it may be felt more intensely when one's self-definition is derived mainly    from one's occupation (M0ller, 1993). The study confirmed that people need to    work if they are to save on personal expenditure and, according to M0ller (1993),    some people had a regular source of income from either employed relatives or    self-employment. They stated that their household expenditure was limited to    basic necessities (M0ller, 1993).</font></p>     <p><font face="Verdana, Arial, Helvetica, sans-serif" size="2">The financial implication    of unemployment was also a very important theme. A high percentage of the participants    reported that they found it difficult to survive financially and that they had    to save on personal expenditure. This was because they had no money to fulfil    their basic needs. The example is illustrated by M0ller (1993), who argues that    the respondents described how unemployed people borrowed, begged and stole to    make ends meet, while reference was made to "borrowing" from family members    with the intention of returning the loan. However, it appeared that loans would    effectively become gifts when the unemployed were not in a position to repay    the amounts borrowed (M0ller, 1993). Singer, Stacey and Ritchie (2001) have    argued that, if a person is unemployed, they have little money, they cannot    afford to do things and they cannot provide financial help for others.</font></p>     <p><font face="Verdana, Arial, Helvetica, sans-serif" size="2">The study also    established that social support was experienced negatively. In the study by    Kelvin and Jarrett (1985), it is stated that the family sees the male unemployed    as 'having a problem', to which extent he is a problem to them and they may    see him as 'less-than-the-man-he-was', sympathetically or disdainfully, depending    on earlier issues. However, other people who are unemployed receive support    from friends and seek help from them. Studies also concluded that, in general,    unemployment stress is exacerbated by a low sense of social support (Linn, Sandifer    &amp; Stein, 1985). Gore (1978) found that the rural unemployed evidenced a    significantly higher level of social support than did the urban unemployed.    Where domestic circumstances were positive, the family could continue to provide    loving support for its members, regardless of the bad times (M0ller, 1993).</font></p>     <p><font face="Verdana, Arial, Helvetica, sans-serif" size="2">Participants in    the current study showed that they felt worse than on the previous occasions    when they were unemployed, and only a few never felt bad about it. In her study,    M0ller (1993) argued that the euphoria and short-lived feeling of freedom after    losing one's job may be perceived as a feeling of independence and liberation    from the many constraints of working life. However, when work is a central value    and gives meaning to all the other aspects of life, job loss may have devastating    effects (M0ller, 1993). That is why most of the participants felt worse at being    unemployed.</font></p>     <p><font face="Verdana, Arial, Helvetica, sans-serif" size="2">The importance    of work is defined as unemployed people's cognitions of the value of work in    terms of a meaningful life and the feeling of being part of society. The results    of this study showed that most unemployed people indeed wanted to be engaged    in work (Warr et al., 1979). Work does not just give people the opportunity    of using their strengths in the service of something larger than the self (Peterson    et al., 2005; Seligman, 2002;</font></p>     <p><font face="Verdana, Arial, Helvetica, sans-serif" size="2">Wrzesniewski et    al., 1997). A total of 70 per cent of the participants reported that they would    do any job rather than be unemployed. It is seen as important to work in order    to enjoy leisure time and to be part of society. Jobs have become more important    than before, according to the participants. Almost all the participants regarded    work as important, and most saw it as meaningful. To them, it meant that they    had to work in order to find purpose in life and they were motivated by the    determination to find meaning. Victor Frankl (1985), the well-known Holocaust    survivor -maintained that finding meaning in life is important for the individual's    well-being. Work is thus regarded as an important factor in finding meaning    in life.</font></p>     <p><font face="Verdana, Arial, Helvetica, sans-serif" size="2">The above findings    show that most of the participants had made more effort than before to find    work, which means that people search desperately for a job, regardless of what    kind. Some of the participants had asked anyone they could came across whether    work was available. Other studies also confirmed that people in search of a    job had stated that their search would become as important as they wanted it    to be (Van Hooft et al., 2004). In addition, there is the 'contact' in the shape    of a third person, a relative or a mutual acquaintance, who becomes an intermediary    between the job-seeker and the employer (Kelvin &amp; Jarrett, 1985). This is    true, because in the current study, people had asked their friends, as well    as presenting themselves to possible employers in the effort to find a job.</font></p>     <p><font face="Verdana, Arial, Helvetica, sans-serif" size="2">Application behaviour    includes efforts by unemployed people to enquire whether work is available,    spontaneously presenting themselves to possible employers, submitting applications    for work and searching for advertisements. When it came to job application behaviour,    the results showed that most participants would have liked to find a job within    the following month, and they also expected to do so in that time. Most of them    had asked friends and acquaintances for employment information, but they also    reported that they looked for advertisements. There are four possible interpretations    of this puzzling finding. First, it is possible that participants answered the    question in a socially appropriate way. Second, they might have experienced    unrealistic optimism. Third, they might possibly have felt that others and society    in general expected that they should find a job soon. Fourth, time might be    seen from a different perspective in the African context, and may have a different    meaning.</font></p>     ]]></body>
<body><![CDATA[<p><font face="Verdana, Arial, Helvetica, sans-serif" size="2">The analyses showed    that qualification was the only demographic factor affecting experiences of    unemployment and the importance of work. More specifically, people who had 10    years of schooling or less found work to be more important than those with 11    to 12 years of schooling. Further, people with eight years or less schooling    experienced unemployment more negatively than those with more than eight years    of schooling did. People with poor education were more inclined to experience    decreased self-worth; loss of self-confidence; not being part of society; emptiness;    uncertainty about the future; conflict at home; loneliness and boredom than    were people with better education. Furthermore, people with poor education were    more inclined to believe that work contributed to a meaningful life, and that    it was better to accept any job at all rather than be unemployed; work is the    most important aspect of life; one could enjoy leisure time only if one had    worked for it; it was important to find a job; and one had to work if one was    to really be part of society. Although access to and participation in education    have improved since 1994, many individuals had poor educational opportunities    and the quality of education is also problematic (National Planning Commission,    2011). The fact that gender, age, employment history and the length of time    unemployed did not affect experiences of unemployment, the importance of work    and job application behaviour indicates the pervasive effects of unemployment    in the South African context.</font></p>     <p><font face="Verdana, Arial, Helvetica, sans-serif" size="2">This study had    various limitations. First, the study was conducted in the Potchefstroom area    of the North West Province. The findings can therefore not be generalised to    other towns in the province or South Africa as a whole. Second, this study made    use of a cross-sectional design to study the effects of unemployment on people.    Longitudinal studies are needed to study the causal effects of unemployment    on individuals. Unemployed individuals with lower levels of mental health than    those of the employed comparison group do not necessarily have lower levels    of mental health as a consequence of the unemployment (McKee-Ryan et al., 2005).    Instead, it is possible that individuals with lower levels of mental health    are more likely to lose their jobs or that individuals with higher levels of    mental health are more likely to find new jobs (Warr, Jackson &amp; Banks, 1988).    Therefore, while the causal relationship between unemployment and poor well-being    has been documented, more research is needed to verify such relationships.</font></p>     <p>&nbsp;</p>     <p><font face="Verdana, Arial, Helvetica, sans-serif" size="3"><b>Recommendations</b></font></p>     <p><font face="Verdana, Arial, Helvetica, sans-serif" size="2">Based on the results    of this study, three recommendations are made. First, there is an urgent need    to expand the cover of social security in South Africa. The injection of cash    into poor households is probably one of the most empowering ways of assisting    poor people to strengthen their own coping mechanisms. Second, programs should    be implemented to stimulate economic growth, job creation and skills development.    Investment in infrastructure has a huge potential to redress the high unemployment    and poverty levels in South Africa and also to correct the skills shortages    (Thwala, 2008). Third, programs should be implemented to assist unemployed people    in coping with unemployment and improving their application behaviour. Wanberg    (2012) showed that poorer psychological health reduced the speed of reemployment.    The government could also provide training for people who really want employment    in order to enhance the skills necessary in the work situation, which would    assist them in coping better with unemployment. Productive activities are lacking    in the lives of the unemployed, and if they were given training they would know    how to use such skills in the work environment. Skills training programs should    therefore be provided so that unemployed people could also develop the idea    of small businesses, probably receiving government funding.</font></p>     <p><font face="Verdana, Arial, Helvetica, sans-serif" size="2">It is recommended    that future research include further investigation into the experiences of unemployed    people, their job application behaviour and coping, as well as their subjective    well-being in other contexts, conducted also with larger samples. Longitudinal    studies could be carried out to better establish experiences of unemployment    and the causal relations related to these experiences. More research is needed    to determine the reliability and the validity of the Experiences of Unemployment    Questionnaire using samples in South Africa.</font></p>     <p>&nbsp;</p>     <p><font face="Verdana, Arial, Helvetica, sans-serif" size="3"><b>References</b></font></p>     <!-- ref --><p><font face="Verdana, Arial, Helvetica, sans-serif" size="2">CONTOGIANNIS, T.    2007. Economic growth, constraints and prospects for the South African economy.    <i>Discourse,</i> 35(2):38-44.</font>&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;[&#160;<a href="javascript:void(0);" onclick="javascript: window.open('/scielo.php?script=sci_nlinks&ref=622591&pid=S2222-3436201200030000100001&lng=','','width=640,height=500,resizable=yes,scrollbars=1,menubar=yes,');">Links</a>&#160;]<!-- end-ref --><!-- ref --><p><font face="Verdana, Arial, Helvetica, sans-serif" size="2">CREED, P.A., HICKS,    R.E. &amp; MACHIN, M.A. 1998. 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