{'fraction_non_alphanumeric': 0.03180212014134275, 'fraction_numerical': 0.0088339222614841, 'mean_word_length': 6.262820512820513, 'pattern_counts': {'":': 0, '<': 0, '<?xml version=': 0, '>': 0, 'https://': 0, 'lorem ipsum': 0, 'www.': 0, 'xml': 0}, 'pii_count': 0, 'substrings_counts': 0, 'word_list_counts': {'cursed_substrings.json': 0, 'profanity_word_list.json': 0, 'sexual_word_list.json': 0, 'zh_pornsignals.json': 0}}
Comparing Group and Individual Level Assessments of Job Characteristics in Testing the Job Demand-Control Model: A Multilevel Approach

This article describes a test of Karasek's JobDemand-Control (JD-C) Model using both group andindividual level assessments of job characteristics. Bygroup assessments, we mean aggregated individual data. A random sample from general hospitals andnursing homes included 16 institutions, 64 units, and1489 health care workers (82% response). Because of thehierarchically nested data structure (i.e.,institutions, units, and individuals) the research questionsand hypothesis were tested in multilevel regressionanalyses (VARCL). The results revealed both group leveland individual level effects with regard topsychological outcomes, and stressed the usefulness ofmultilevel techniques. Karasek's JD-C Model was partlyconfirmed by finding two interaction effects at grouplevel and at individual level with regard to jobsatisfaction and work motivation, respectively. Thediscussion focuses on theoretical, methodological, andpractical implications of multilevel modeling withrespect to the JD-C Model.