My da|ra Login

Detailed view

metadata language: English

Generations of Talent Study

Version
v0
Resource Type
Dataset : survey data
Creator
  • Pitt-Catsouphes, Marcie (Boston College)
  • Sarkisian, Natasha (Boston College)
Other Title
  • Archival Version (Subtitle)
Publication Date
2014-05-08
Funding Reference
  • Alfred P. Sloan Foundation
Language
English
Free Keywords
career development; corporations; drug industry; employee benefits; employers; employment practices; energy industry; financial industry; health care; job satisfaction; labor force; management; older workers; organizations; work environment; working hours; workplaces
Description
  • Abstract

    The Generations of Talent Study sought to examine several dimensions of quality of employment as experienced by today's multigenerational workforces. The primary goal was to explore how country-related factors and age-related factors affect employees' perceptions of quality of employment. Information was gathered from employees working in 11 different countries including the United States, United Kingdom, China, India, Spain, Brazil, Japan, Mexico, the Netherlands, South Africa, and Botswana. The industry sectors included technology, pharmaceuticals, consulting, energy, and finance. Demographic variables included gender, birth year, race/ethnicity, education, marital status, number of children, hourly wage, salary, and household income.
  • Methods

    No weight variables were provided.
  • Methods

    ICPSR data undergo a confidentiality review and are altered when necessary to limit the risk of disclosure. ICPSR also routinely creates ready-to-go data files along with setups in the major statistical software formats as well as standard codebooks to accompany the data. In addition to these procedures, ICPSR performed the following processing steps for this data collection: Standardized missing values..
  • Methods

    Presence of Common Scales: Most measures included were adapted and/or abridged due to space constraints; such as Hofstede's (2001) attitude survey measures; Karasek's (1985) job characteristics measures; Mor Barak and Cherin's (1998) inclusion measures; and Mowday, Steers, & Porter's (1979) organizational commitment measure.
  • Methods

    Response Rates: 14.6 percent
  • Table of Contents

    Datasets:

    • DS1: Dataset
Temporal Coverage
  • Time period: 2010
  • 2010-04-05 / 2010-11-22
    Collection date: 2010-04-05--2010-11-22
Geographic Coverage
  • Botswana
  • Brazil
  • China (Peoples Republic)
  • Global
  • India
  • Japan
  • Mexico
  • Netherlands
  • South Africa
  • Spain
  • United Kingdom
  • United States
Sampled Universe
Employees in large multinational corporations Smallest Geographic Unit: country
Sampling
Each employer chose the sites that it wanted to participate in the survey, as described in the documentation. Almost all sites used either a random sample or a population sample. There were two exceptions: Pharma2 Brazil (as identified in the dataset) excluded manufacturing employees from their sample, while Pharrma2 Spain preidentified 60 percent of sales and remote workers and 40 percent of office employees for inclusion in the survey.
Collection Mode
  • computer-assisted self interview (CASI)

    Data producers did not include weight variables because the variables needed to create weights could be used to identify the sites, and because of the limited value of these weights to most analyses (which would weight the dataset to the site demographics, rather than country demographics).

Availability
Delivery
This version of the study is no longer available on the web. If you need to acquire this version of the data, you have to contact ICPSR User Support (help@icpsr.umich.edu).
Alternative Identifiers
  • 35034 (Type: ICPSR Study Number)
Relations
  • Is previous version of
    DOI: 10.3886/ICPSR35034.v1

Update Metadata: 2015-08-05 | Issue Number: 6 | Registration Date: 2015-06-16

Pitt-Catsouphes, Marcie; Sarkisian, Natasha (2014): Generations of Talent Study. Archival Version. Version: v0. ICPSR - Interuniversity Consortium for Political and Social Research. Dataset. https://doi.org/10.3886/ICPSR35034