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Russel-Research-Method-in-Anthropology

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786 Subject Index<br />

sampl<strong>in</strong>g, 146–68; case control, 194–95;<br />

cluster sampl<strong>in</strong>g, 157–58; cha<strong>in</strong> referral,<br />

192–94; complex sampl<strong>in</strong>g<br />

designs, 158; convenience sampl<strong>in</strong>g,<br />

191–92; cultural data, 147, 187; judgment<br />

sampl<strong>in</strong>g 189–91; obstacles to,<br />

148–49, 151–52; periodicity, 151;<br />

probability proportionate to size (PPS)<br />

sampl<strong>in</strong>g, 159–66; probability vs. nonprobability<br />

sampl<strong>in</strong>g, 147; quota sampl<strong>in</strong>g,<br />

187–89; simple random sampl<strong>in</strong>g,<br />

149–51; space sampl<strong>in</strong>g,<br />

160–62; stratified random sampl<strong>in</strong>g,<br />

153–56; systematic random sampl<strong>in</strong>g,<br />

151–53; time allocation studies and,<br />

427–31. See also nonprobability sampl<strong>in</strong>g<br />

sampl<strong>in</strong>g by convenient replacement<br />

technique, 257<br />

sampl<strong>in</strong>g design, 154<br />

sampl<strong>in</strong>g distribution, 173<br />

sampl<strong>in</strong>g frames, 149<br />

sampl<strong>in</strong>g from a telephone book, 152<br />

sampl<strong>in</strong>g <strong>in</strong>terval, 151<br />

sampl<strong>in</strong>g theory, 169–85; calculation for<br />

sample size for estimat<strong>in</strong>g proportions,<br />

181–84; central limit theorem,<br />

173–78; confidence <strong>in</strong>tervals, 178–79;<br />

distribution, 169–73; t-distribution,<br />

179–81<br />

Sapir, Edward, 465–66<br />

Sarkar, N. K., 355<br />

scal<strong>in</strong>g: faces scale, 340, 340–41; Guttman<br />

scale, 321–27; ladder of life, 339,<br />

339–40; Likert scales, 327–35; multiple<br />

<strong>in</strong>dicator scales, 319–20; semantic<br />

differential scal<strong>in</strong>g, 274, 336–38, 337;<br />

s<strong>in</strong>gle <strong>in</strong>dicator scales, 318–19, 320.<br />

See also <strong>in</strong>dexes; composite measures<br />

scattergrams, 603, 604, 635, 636, 639<br />

scatterplots, 603, 604, 635, 636, 639<br />

schema analysis, 473, 479–84; case<br />

examples, 481–84<br />

schemas, 480–81<br />

Schiller, Ferd<strong>in</strong>and C. S., 21<br />

Schutz, Alfred, 24<br />

SCI (Science Citation Index Expanded),<br />

98, 99<br />

science: development of, 6–10; norms,<br />

5–6<br />

Science Citation Index Expanded (SCI),<br />

98, 99<br />

scientific management, 17<br />

scientific method, 6, 17; assumptions, 5<br />

scientism, 20<br />

scratch notes, 389–91<br />

scripts, 480–81<br />

SE (standard error), 587<br />

second demographic transition, 86<br />

second-order correlation, 660<br />

segment<strong>in</strong>g, 510<br />

selection bias, 116–17<br />

self-adm<strong>in</strong>istered questionnaires, 252;<br />

pros and cons, 258–61<br />

self-anchor<strong>in</strong>g scale, 339<br />

Seligman, C. G., 375<br />

SEM (standard error of the mean), 587<br />

semantic cues, 302<br />

semantic differential scal<strong>in</strong>g, 274, 336–<br />

38, 337<br />

semantic network analysis, 495<br />

semantics, 480<br />

semistructured <strong>in</strong>terview<strong>in</strong>g, 210, 212.<br />

See also <strong>in</strong>terview<strong>in</strong>g<br />

sentence frame technique, 305–7, 537–38<br />

sex, fieldwork and, 375–76<br />

sexual harassment, 384<br />

shaman effect, 209<br />

shape of distributions, 572–80<br />

Shopp<strong>in</strong>g Study, 418–19<br />

shotgun approach, 644–47<br />

silent probe, 218<br />

SIL (Summer Institute of L<strong>in</strong>guistics),<br />

396<br />

similarities, 681<br />

similarity matrix, 206, 456, 685, 686<br />

simple match<strong>in</strong>g coefficient, 679<br />

simple random sampl<strong>in</strong>g, 149–51

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