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Proceedings of the 2009 northeastern recreation research symposium

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Table 1.—Sample demographics<br />

Indicator<br />

Gender n (%)<br />

Male<br />

Female<br />

Age (M years, SD)<br />

Education (M years, SD)<br />

Income n (%)<br />

Under $20,000<br />

$20,000 - $59,999<br />

$60,000 - $99,999<br />

$100,000 - $139,999<br />

$140,000 – 179,000<br />

$180,000 or more<br />

Race/Ethnicity<br />

Hispanic<br />

White<br />

Asian American<br />

Black or African American<br />

Native Hawaiian or o<strong>the</strong>r Pacifi c Islander<br />

American Indian or Alaskan Native<br />

<strong>the</strong> establishment <strong>of</strong> a valid measurement model, we<br />

<strong>the</strong>n tested <strong>the</strong> structural model (Anderson and Gerbing<br />

1982). Th e fi nal model indicated satisfactory model<br />

fi t (San Diego, � 2 = 177.77, df = 36, RMSEA = .071,<br />

NNFI = .984, CFI = .989; Los Angeles, � 2 = 197.17, df<br />

= 36, RMSEA = .069, NNFI = .984, CFI = .990) (see<br />

Table 3).<br />

Bollen (1989) referred to <strong>the</strong> procedure we used for<br />

model comparison across <strong>the</strong> two groups as invariance<br />

testing. Bollen (1989) also noted that testing for model<br />

comparability across groups is a matter <strong>of</strong> degree in that<br />

<strong>the</strong> <strong>research</strong>er decides which parameters should be tested<br />

for equality across groups and in what order <strong>the</strong>se tests<br />

should be made. Th e hierarchy <strong>of</strong> invariance 2 employed<br />

in this study involved <strong>the</strong> testing <strong>of</strong> increasingly<br />

restrictive hypo<strong>the</strong>ses concerning equality between <strong>the</strong><br />

two samples in terms <strong>of</strong>:<br />

H1 : equality <strong>of</strong> structure - examines <strong>the</strong> suitability <strong>of</strong> a<br />

four-factor solution across <strong>the</strong> two groups;<br />

H2 : equality <strong>of</strong> scaling - examines <strong>the</strong> similarity in <strong>the</strong><br />

pattern <strong>of</strong> factor loadings among <strong>the</strong> groups; and<br />

2 For a more detailed discussion <strong>of</strong> invariance testing, see<br />

Bollen (1989) or Byrne (1998).<br />

San Diego<br />

(n = 729)<br />

445 (61.0)<br />

275 (37.7)<br />

61.4 (13.47)<br />

15.4 (2.64)<br />

24 (3.3)<br />

176 (24.2)<br />

186 (25.5)<br />

139 (19.1)<br />

62 (8.5)<br />

60 (8.2)<br />

19 (2.6)<br />

662 (90.8)<br />

3 (.4)<br />

2 (.3)<br />

21 (2.9)<br />

2 (.3)<br />

Los Angeles<br />

(n = 929)<br />

627 (67.5)<br />

291 (31.3)<br />

61.8 (13.5)<br />

16.3 (2.7)<br />

35 (3.8)<br />

178 (19.1)<br />

230 (24.7)<br />

166 (17.9)<br />

113 (12.2)<br />

122 (13.1)<br />

49 (5.3)<br />

808 (87.0)<br />

19 (2.0)<br />

13 (1.4)<br />

12 (1.3)<br />

2 (.2)<br />

H 3 : equality <strong>of</strong> structural coeffi cient estimates - examines<br />

<strong>the</strong> similarity <strong>of</strong> <strong>the</strong> regression paths for groups.<br />

Th ese hypo<strong>the</strong>ses were tested sequentially by<br />

constraining <strong>the</strong> relevant elements <strong>of</strong> <strong>the</strong> model to be<br />

equal across groups. Th e eff ect <strong>of</strong> <strong>the</strong>se constraints was<br />

examined using <strong>the</strong> � 2 diff erence test (Byrne 1998). In<br />

essence, <strong>the</strong>se tests establish <strong>the</strong> degree to which our<br />

conceptualization <strong>of</strong> place attachment applies in diff erent<br />

spatial contexts.<br />

Table 3 presents a summary <strong>of</strong> <strong>the</strong> analysis. Th e fi rst test<br />

examined <strong>the</strong> form <strong>of</strong> <strong>the</strong> factor solution (H 1 ) across<br />

<strong>the</strong> two groups. Th e models were hypo<strong>the</strong>sized to have<br />

<strong>the</strong> same pattern <strong>of</strong> fi xed and free values in <strong>the</strong> matrices<br />

containing factor loadings, structural coeffi cients, and<br />

<strong>the</strong> variance/covariance matrices. Non-fi xed parameters<br />

were not restricted to have <strong>the</strong> same value across groups<br />

in this fi rst test. Th e fi t <strong>of</strong> this unconstrained model was<br />

considered adequate (� 2 = 374.96, df = 72, RMSEA =<br />

.070, NNFI = .984, CFI = .990). Th is unconstrained<br />

model served as a point <strong>of</strong> comparison for <strong>the</strong> second test<br />

(equality <strong>of</strong> scaling) discussed below.<br />

In our second test (H 2), <strong>the</strong> factor loadings were<br />

constrained to be equal across <strong>the</strong> two groups (Marsh and<br />

<strong>Proceedings</strong> <strong>of</strong> <strong>the</strong> <strong>2009</strong> Nor<strong>the</strong>astern Recreation Research Symposium GTR-NRS-P-66<br />

122

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