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Strategic responses to Performance Measurement in Nonprofit ...

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18<br />

Accord<strong>in</strong>g <strong>to</strong> Anheier and Salamon (2006) the non-profit workforce percentage is 5,9 % <strong>in</strong><br />

Germany which is above average (4,4%) but is much lower than the percentage of the <strong>to</strong>p<br />

rank<strong>in</strong>g countries, namely the Netherlands (14,4 %), Belgium (10,9 %) and Ireland (10,4 %).<br />

Accord<strong>in</strong>g <strong>to</strong> the John Hopk<strong>in</strong>s country study for Germany around 70 % of all persons<br />

employed by non-profits work <strong>in</strong> the two sec<strong>to</strong>rs chosen (Zimmer et al. 2000). Therefore the<br />

German non-profit sec<strong>to</strong>r comb<strong>in</strong>es a Western European tradition with a prom<strong>in</strong>ent role of<br />

social service providers with that of the United States, Japan, Australia and Israel where,<br />

accord<strong>in</strong>g <strong>to</strong> Anheier and Salamon (2006: 97), health care organizations are the most<br />

prom<strong>in</strong>ent ones.<br />

The quantitative study concentrated on residential non-profit care providers <strong>in</strong> below<br />

mentioned areas. The questionnaires returned are distributed as shown <strong>in</strong> table 1:<br />

multicare<br />

providers<br />

23 %<br />

77 Q<br />

care for<br />

persons with<br />

disabilities<br />

35 %<br />

65 Q<br />

health care<br />

12 %<br />

41 Q<br />

youth care<br />

10 %<br />

33 Q<br />

care for the<br />

elderly<br />

20 %<br />

69Q<br />

Source: author‟s compilation<br />

Fig. 1: Distribution of the questionnaires (Q) across the fields of health and social care<br />

For analys<strong>in</strong>g the data gathered, descriptive statistics and statistical test<strong>in</strong>g was applied. As all<br />

tests on normal distribution were significant (and therefore no normal distribution was<br />

confirmed), the Mann, Whitney und Wilcox tests were chosen and if appropriate also the<br />

Kruskal-Wallis-test. Additionally bi-variate statistical methods were employed. Due <strong>to</strong> the

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