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Data Collection Methods

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Wage and Hour Law
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Abstract

The underlying foundation for several commonly-used data collection methods for evaluating wage and hour compliance is provided in this chapter. The resolution of nearly all wage and hour disputes covered in this book requires detailed measurement of the work employees perform, the amount of time spent on that work, and the context in which work is performed. In the past 15 years, consultants and experts have been successfully applying job analysis techniques to collect data to address these issues. The data collection methodologies discussed in this chapter fall into two general categories: observational methodologies and self-report methodologies. Observational methods include live “time and motion” observations and video-based observations. Self-report methods include job analysis questionnaires or surveys and structured interviews. Guidance is also provided for choosing an appropriate method. These methods are customized to address the unique legal questions associated with each wage and hour issue.

The original version of this chapter was revised. A correction to this chapter can be found at https://doi.org/10.1007/978-3-319-74612-8_10

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Notes

  1. 1.

    See Banks and Cohen (2005).

  2. 2.

    Guion and Highhouse (2006) (p. 25).

  3. 3.

    Guion and Highhouse (2006); Babbie (1990).

  4. 4.

    Nunnally and Bernstein (1994).

  5. 5.

    See Gatewood, Feild & Barrick (2007).

  6. 6.

    See, e.g., Sackett, Walmsley, and Laczo (2013); Wilson, Bennett, Gibson, and Alliger (2012); Morgeson and Dierdorff (2011); Brannick, Levine, and Morgeson (2007); Sanchez and Levine (2001); Harvey (1991); Gael (1988).

  7. 7.

    Sackett et al. (2013), p. 61.

  8. 8.

    Morgeson and Campion (1997).

  9. 9.

    Sanchez and Levine (2001).

  10. 10.

    Banks and Aubry (2005); Banks and Cohen (2005); Ko and Kleiner (2005); Honorée, Wyld, and Juban (2005).

  11. 11.

    See Gatewood et al. (2007); Gael (1988).

  12. 12.

    One exception is the applicability of the professional exemption, which is impacted by the educational background required to perform the job. This issue is discussed in Chap. 3.

  13. 13.

    Sackett (1991) provides actual examples of this issue.

  14. 14.

    29 C.F.R. §541.2.

  15. 15.

    See Harvey and Wilson (2000); Morgeson and Campion (2000); Sanchez and Levine (2000).

  16. 16.

    Lievens, Sanchez, Bartram, and Brown (2010); Dierdorff and Morgeson (2007).

  17. 17.

    Guion and Highhouse (2006).

  18. 18.

    The real issue is when the language spoken by the researcher is different from the language spoken by employees. The primary language spoken by researchers may differ by country.

  19. 19.

    Pande and Basak (2015); Guion and Highhouse (2006).

  20. 20.

    Issues related to sampling are covered in Chap. 8.

  21. 21.

    Pigage and Tucker (1954).

  22. 22.

    See, e.g., Kahn and Perkoff (1977).

  23. 23.

    See Roethlisberger and Dickson (1939).

  24. 24.

    Heisenberg (1927).

  25. 25.

    The book was created to help fulfill the mission of the Federal Judicial Center to “develop and conduct educational programs for judicial branch employees.”

  26. 26.

    Diamond (2011).

  27. 27.

    See, e.g., Belli (1998).

  28. 28.

    See, e.g., Schwarz (2007) for a summary.

  29. 29.

    Belli (1998).

  30. 30.

    Belli, Smith, Andreski, and Agrawal (2007); Freedman, Thornton, Camburn, Alwin, and Young-DeMarco (1988); Schwarz (2007); VanDerVaart and Glasner (2007).

  31. 31.

    See Cannell, Oksenberg, Kalton, Bischoping, and Fowler (1989).

  32. 32.

    Krosnick and Presser (2010).

  33. 33.

    Mellow and Sider (1983).

  34. 34.

    Duncan and Hill (1985).

  35. 35.

    Robinson and Bostrom (1994).

  36. 36.

    Babbie (1990).

  37. 37.

    Petersen, Allman and Lee (2015).

  38. 38.

    Diamond (2011).

  39. 39.

    Diamond (2011).

  40. 40.

    Diamond (2011).

  41. 41.

    For example, the court in Walter v Western Hockey League, et al. (2016) found that participants had a legitimate fear of reprisal if their identities were known and allowed self-report data to be collected anonymously and used as evidence.

  42. 42.

    Krosnick and Presser (2010).

  43. 43.

    Krosnick (1991).

  44. 44.

    See, e.g., Marsden and Wright (2010); Babbie (1990).

  45. 45.

    See Krosnick and Presser (2010) for more details about question wording.

  46. 46.

    Gatewood et al. (2007).

  47. 47.

    Diamond (2011).

  48. 48.

    Diamond (2011).

  49. 49.

    Diamond (2011); Krosnick and Presser (2010).

  50. 50.

    Diamond (2011); Krosnick and Prosser (2010); Presser et al. (2004); Krosnick (1999).

  51. 51.

    Some have recommended using larger pilot samples. For example, Diamond (2011) recommends a pilot sample of 25–75. The size of the pilot sample depends on the type of study being conducted. Smaller samples, provided they are diverse, are generally considered sufficient in this context.

  52. 52.

    Some issues related to response rates, and specifically non-response bias, are discussed in Chap. 8.

  53. 53.

    See Cortina (1993) for a discussion on appropriate application of this statistic.

  54. 54.

    Gatewood et al. (2007).

  55. 55.

    Diamond (2011); Krosnick and Prosser (2010).

  56. 56.

    Posthuma, Morgeson, and Campion (2002); Eder and Harris (1999).

  57. 57.

    Gatewood et al. (2007).

  58. 58.

    See, e.g., Schmidt and Hunter (1998); Huffcutt and Arthur (1994).

  59. 59.

    Diamond (2011).

  60. 60.

    Babbie (1990).

  61. 61.

    Diamond (2011).

  62. 62.

    See Chap. 1 for more detail about this process.

  63. 63.

    Wright and Marsden (2010).

  64. 64.

    See Diamond (2011); Babbie (1990).

  65. 65.

    See Krippendorff (2013) for a more complete coverage of the content analysis methodology.

  66. 66.

    Pynes and Bernardin (1992).

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Hanvey, C. (2018). Data Collection Methods. In: Wage and Hour Law. Springer, Cham. https://doi.org/10.1007/978-3-319-74612-8_2

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