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Introduction Key Findings Results Discussion Work Life Study - ResultsDescription Of The Sample PopulationYour Work BackgroundDespite the average time of almost two years with their respective company, the majority of participants seemed to have spent a relatively short time with their respective companies as more than half had been with their present employer for less than or exactly two years. Quite a substantial number though, 15.6 percent, had been working for their company between 10 and 20 years. Over half of the participants worked in relatively small companies employing between 10 and 100 employees. With regard to the definition of work level, the overriding majority, i.e. 44.4 percent, rated theirs as Managerial:
You and Your CompanyOn average, most people seemed to feel more committed to their company than the other way round. Regarding one's Workplace Support, Flexibility In Working and Respect were each chosen as the highest rank by an equal number of participants. For Job Satisfaction, Autonomy was ranked highest by the majority.
Your Work/Life BalanceMost participants would chose to cut down on the number of hours worked per week in order to improve their Work/Life Balance with the way working hours are arranged coming a close second:
Background Information About YourselfThe sample was almost equally split into Males and Females.With an average age of 33, the majority percent of the sample population concentrated in the 26 to 35 age group followed by the 20-25 age group. The majority of nearly 40 percent classified themselves as Single, with a substantial number reporting to be Married or Cohabiting with a partner:
Of those who had a partner, over half came from double earner households. Ethnic minorities were underrepresented with over 90 percent of the participants being white. About a quarter reported to be caring for school-age children at home, with 11 percent having adult dependants Principal Components Analysis (PCA)A Factor Analysis (e.g. PCA) reduces large amounts of data, such as items in a questionnaire thus revealing any underlying dimensions. Here, for items 3a to 3s it was postulated that there were not 19 separate items all measuring different things, but that there were two distinct categories or factors. The first factor was considered to the individual perception of the Work/Life Balance, tapped on by such "I-statements" as 3a: "I would accept lower pay for working fewer hours in order to have more time for my personal life". The second category of statements was considered to be related to the working environment, tapped on by items consisting of more general statements about working environment, such as 3m: "In this organisation working long hours is often confused with commitment". Hence the second factor was hypothesised to relate to perceived company culture and support.Once factors are extracted, it is a common procedure to rotate them. This is a mathematical procedure, which essentially will produce a clearer picture of findings. A Varimax procedure using orthogonal rotation, where factors are not allowed to correlate with each other, was used in order to clean up the factors. Two factors accounting for 34.9 percent of the total variance were extracted. Taking the content of the respectively highest loading items into account Factor I labelled Perceived Work Culture And Support and Factor II Focus Of Ambition And Individually Perceived Impact Of Work Demands. CorrelationsThe next step was to examine whether the Factors correlated with other items in the questionnaire, such as age, company size or commitment. A correlation does not allow causal inferences though, it will merely display the presence or absence of a link between two variables. The Factors were observed to correlate significantly with a number of other variables, such as time with one's company in month, commitment, the number of hours worked and age. | Next | Previous | |
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