Working With Archival Data: Studying Lives, Issue 88The number of longitudinal data archives is growing almost daily, yet no resource exists to help understand the relationship between research questions and archival data--until now. Drawing on a single project, the Lewis Terman Study at Stanford University, the authors illustrate how to use the model-fitting process to select and fit the right data set to a particular research problem. Employing a step-by-step approach, this handy volume covers the measurement of historical influences, the adaptation of existing coding schemes to temporal patterns that are characteristic of life records, and the recasting of archival materials to illuminate contemporary questions that the data were not designed to answer.Learn more about "The Little Green Book" - QASS Series! Click Here |
From inside the book
Results 1-3 of 12
Page 30
... determine whether or not creating new health codes would be fruitful . Our final decision to recast the health data involved three major questions : 1. Did the original survey responses contain enough information for us to create better ...
... determine whether or not creating new health codes would be fruitful . Our final decision to recast the health data involved three major questions : 1. Did the original survey responses contain enough information for us to create better ...
Page 42
... determined by calculating its standard error and determining a z score ( see Fleiss , 1973 ) , although a general rule of thumb is that a TABLE 3.4 Calculating the Kappa Statistic A. Basic Kappa Table 42 Step 7: Assessing Reliability ...
... determined by calculating its standard error and determining a z score ( see Fleiss , 1973 ) , although a general rule of thumb is that a TABLE 3.4 Calculating the Kappa Statistic A. Basic Kappa Table 42 Step 7: Assessing Reliability ...
Page 79
... determine whether job and employer changes had occurred by drawing on all available information from the job attributes above and related data . In contemporary surveys , job and employer changes could be determined quantitatively ...
... determine whether job and employer changes had occurred by drawing on all available information from the job attributes above and related data . In contemporary surveys , job and employer changes could be determined quantitatively ...
Contents
Recasting the Archive | 23 |
The Decision to Recode | 30 |
Summary | 49 |
Copyright | |
4 other sections not shown
Other editions - View all
Working With Archival Data: Studying Lives Glen H. Elder,Eliza K. Pavalko,Elizabeth Colerick Clipp Limited preview - 1992 |
Common terms and phrases
agreement analysis archival data birth cohorts career Chapter civilian codebook coders coding form coding operation coding scheme combat experience concept constant good health course data archives data collection data sets decline defined develop employment Figure files follow-up G.I. Bill health codes health trajectories heavy combat historical influences histories home-front mobilization impairment investigate involves job attributes kappa Kappa Statistic labor force later Lewis Terman life-course longitudinal data longitudinal studies materials measures men's lives military and home-front military service mobiliza Murray Research Center Oakland Growth Study occupation percentage physical health postmobilization problem Radcliffe College recasting effort records relevant reliability research questions retirement social Stanford Stanford University step study members summary sheets survey forms survey wave Terman archive Terman data Terman men Terman sample Terman Study tion transitions University variables veterans W. I. Thomas War Production Board wartime experience World World War II