WERS 2004 - Tabulations

Tabulations of data from WERS 2004 are provided here for those who are either unable to conduct their own analyses with the deposited datasets, or would prefer not to do so. The unweighted distributions are likely to be of use to potential analysts who need to assess the size of a particular sub-sample within the data set. The weighted distributions may prove useful in providing survey estimates that are otherwise not available in any published material.

Frequency tabulations are available for all of the questions contained in the WERS 2004 Cross-Section Survey of Managers (comprising the Employee Profile Questionnaire and the Management interview), the Survey of Employees and the Employee Representative Questionnaire. Users may also be interested to consult the additional resources accompanying the sourcebook, which comprise an additional set of tabulations of selected headline data items by basic workplace characteristics. Further details regarding the sourcebook and how to access the additional resources are provided on the primary analysis page.

The WERS 2004 data are now also available via Nesstar, the on-line analysis tool provided by the Economic and Social Data Service. This allows access to the data via a simple web-based interface, providing a number of useful functions, such as the ability to compile cross-tabulations, view frequencies, produce graphs and conduct correlation and regression analyses.

Frequency tabulations :

To view the frequency tables, follow this link: Access frequencies

Before accessing the frequencies, you will be asked to accept a few standard terms concerning use of the tabulations. The tabulations themselves are provided in Acrobat (pdf) files.

Layout of frequency tables :

• Categorical variables

Column 1: question text from the interview or self-completion questionnaire

Column 2: categorical value and label

Column 3: weighted percentage

Column 4: unweighted percentage

Column 5: unweighted number of observations

• Continuous variables

Column 1: question text from the interview or self-completion questionnaire

Column 2: minimum value for the variable

Column 3: maximum value for the variable

Column 4: weighted mean

Column 5: unweighted mean

Column 6: unweighted standard deviation

Column 7: unweighted number of observations

Additional notes:

Variables containing multiple responses from the same question are presented individually in separate tables, and then in combination in a single table. For example, there are individual tables presenting data contained in each of ASTATUS1 and ASTATUS2, plus a further table - titled ASTATUS (MR) - which accumulates responses from across the two variables (MR being shorthand for 'multiple response'). With such variables, it is sometimes the case that not all of the individual variables contain responses, for example, AHOWCH08-AHOWCH12 contain no responses. These variables do not therefore appear in the frequency tabulations.

In the Survey of Employees, questions inviting more than one box to be ticked (E4, E7, E8 and E9) yield one dichotomous variable for each of the possible responses. Again, these variables are presented individually in separate tables, and then in combination in a single table. For example, there are individual tables for each of E4_1 to E4_6, plus a further table E4_(MR) which accumulates these individual responses. An additional variable with the same name as the question (E4 in this example) indicates the number of boxes ticked by the respondent, this information is also presented in a separate table.

Note that some variables were not intended to elicit multiple responses but were multi-coded by a number of respondents. This applies to variables B2, D2, E10 and E14. In this case, the variable takes the value of -6 if more than one box was ticked. Additionally, one dichotomous variable for each of the possible responses is included in the file, for example, B2MULT1 to B2MULT8, the results of which are presented both as separate tables and in combination in one table, in this case B2MULT (MR). An additional variable B2MULT indicates the number of boxes ticked by the respondent.

Where verbatim responses were given under an ‘other, please specify’ code, the verbatim answer was coded back to the frame after the end of fieldwork. In such cases, the interview codes and the additional codes arising from the verbatim answer are presented as separate tables, and then combined into a single table. For example, there are individual tables for AHEADOFF and AHEADOF2, plus a further table AHEADOFFX which combines the two (the X being added to indicate that the table includes original codes and verbatim codes, also noted in the text in column 1 of the table). Note that the original use of the ‘other, please specify’ code within the interview remains on the dataset; these responses should be ignored in the combined tables since, in each instance, the additional code that resulted appears elsewhere in the table.

Some multiple response variables also include backcoding. Where this applies it is stated in the notes underneath the table (for example BADVIC (MR) which accumulates responses from across the variables BADVIC01 to BADVIC11, plus the additional codes in BADVICE1 to BADVICE3).

Questions that used the standard code list for entering workforce proportions (100%; 80-99%; 60-79% etc, e.g. COFFJOB) also gave respondents the option to report the exact number of employees to which the practice applied. These responses were recorded in separate variables. For example, BINVMANG asked what proportion of non-managerial employees had job duties that involved supervising other employees. If the respondent gave the answer as an exact number, rather than a proportion, a value of 97 was recorded for BINVMANG and the exact number was recorded separately in variable BINVMANT. Derived variables beginning with the letter N have been created that combine the results of these variables – in the case of this example these responses have been combined in variable NINVMANG. In the frequency tabulations, the table for the derived variable follows directly after the tables for the variables which it combines.

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© 2005 The National Institute of Economic and Social Research
Site last updated August 28, 2008