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Russel-Research-Method-in-Anthropology

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432 Chapter 15<br />

which of the multiple simultaneous activities they witness to record as the<br />

primary one and which as secondary.<br />

The best solution is to record all possible behaviors you observe <strong>in</strong> the order<br />

of their primacy, accord<strong>in</strong>g to your best judgment at the time of observation.<br />

Use a check sheet to record behaviors. Use a separate check sheet for each<br />

observation you make. This can mean pr<strong>in</strong>t<strong>in</strong>g up 1,000 sheets for a TA study,<br />

and haul<strong>in</strong>g them home later.<br />

This is one of two good reasons to use handheld computers to record observational<br />

data. Programs are now available for these devices that give you the<br />

equivalent of an electronic check sheet and let you watch behavior and code<br />

it on the spot (see appendix F).<br />

The other good reason to give up paper check sheets if you can is that, eventually,<br />

you have to type <strong>in</strong> the data anyway, transferr<strong>in</strong>g them from paper to<br />

computer so you can run statistical analyses. Each time you record behavioral<br />

data—as you watch it and as you transfer it from paper to computer—there is<br />

a chance of error. That’s just how it is. So elim<strong>in</strong>at<strong>in</strong>g one step <strong>in</strong> the data<br />

management process cuts down on errors <strong>in</strong> data.<br />

If you must hand-code your orig<strong>in</strong>al observations, then enter the data <strong>in</strong>to<br />

a laptop while you’re still <strong>in</strong> the field, as a precaution aga<strong>in</strong>st loss of the orig<strong>in</strong>al<br />

data sheets. Be paranoid about data. Those horror stories you’ve heard<br />

about lost data? They’re true. (Read M. N. Sr<strong>in</strong>ivas’s account [1979:xiii] of<br />

how he lost all three copies of his field notes, compiled over a period of 18<br />

years, <strong>in</strong> a fire at Stanford.)<br />

Experience Sampl<strong>in</strong>g (ES)<br />

In experience sampl<strong>in</strong>g (ES), people carry around little beepers. When the<br />

beeper goes off, they fill out a questionnaire about what they’re do<strong>in</strong>g, or who<br />

they’re with, or what they’re feel<strong>in</strong>g at the moment. Some researchers ask<br />

<strong>in</strong>formants to jot an entry <strong>in</strong>to a diary or talk about their actions, feel<strong>in</strong>gs, and<br />

surround<strong>in</strong>gs <strong>in</strong>to a small digital or tape recorder, and some researchers even<br />

ask <strong>in</strong>formants to call a number and report, live, to a telephone <strong>in</strong>terviewer<br />

(Kubey et al. 1996).<br />

ES offers two big advantages. First, it comb<strong>in</strong>es the power of random spot<br />

checks with the relative ease of hav<strong>in</strong>g people report on their own behavior.<br />

Csikszentmihalyi and Larson (1987) demonstrated the reliability of ES <strong>in</strong> a<br />

number of studies. Validity is another matter, of course, but when people<br />

record or talk about what they’re do<strong>in</strong>g and how they’re feel<strong>in</strong>g on the spot,<br />

this should lessen the <strong>in</strong>herent <strong>in</strong>accuracy of recall data. The other advantage<br />

is that, work<strong>in</strong>g on your own, you can only be <strong>in</strong> one place at a time, but with

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