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Proceedings of the 2009 northeastern recreation research symposium

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Grayson 1995). Th e fi t <strong>of</strong> this model was compared<br />

with <strong>the</strong> fi t <strong>of</strong> <strong>the</strong> model above that did not require<br />

this invariance (equality <strong>of</strong> structure). As shown<br />

in Table 3, <strong>the</strong> imposition <strong>of</strong> this constraint did<br />

not signifi cantly impact <strong>the</strong> goodness-<strong>of</strong>-fi t indices<br />

(Δ� 2 = 7.83, Δ df = 7). Th us, <strong>the</strong> pattern <strong>of</strong> factor<br />

loadings was held constant across <strong>the</strong> two groups.<br />

For <strong>the</strong> fi nal test (H 3), equality constraints were placed<br />

on each element <strong>of</strong> beta matrix to test <strong>the</strong> equality<br />

<strong>of</strong> regression coeffi cients across two groups. Model<br />

fi t was compared with <strong>the</strong> fi t indices from <strong>the</strong> model<br />

tested above (H 2) and illustrated that this constraint<br />

did not signifi cantly impair <strong>the</strong> model’s fi t to <strong>the</strong> data<br />

(Δ� 2 = 14.20, Δdf = 3). Th is fi nding indicates that <strong>the</strong><br />

latent structure tested in our hypo<strong>the</strong>sized model was<br />

equivalent between <strong>the</strong> two groups.<br />

3.3. Summary<br />

Th ese fi ndings <strong>of</strong>f er support for <strong>the</strong> hypo<strong>the</strong>sized<br />

model, suggesting that <strong>the</strong> identity-related dimension<br />

would positively predict each <strong>of</strong> <strong>the</strong> place attachment<br />

dimensions. Specifi cally, <strong>the</strong> following relationships were<br />

observed in <strong>the</strong> fi nal model (see Table 4):<br />

a. Place dependence was positively predicted by<br />

place identity (� = .83, t = 35.12). Place identity<br />

accounted for 77 percent <strong>of</strong> <strong>the</strong> variation in place<br />

dependence for <strong>the</strong> San Diego data, and 63 percent<br />

<strong>of</strong> <strong>the</strong> variation for <strong>the</strong> Los Angeles data. Th us,<br />

<strong>the</strong> degree <strong>of</strong> self-identifi cation with <strong>the</strong>se national<br />

forests infl uenced respondents’ dependency on<br />

<strong>the</strong> ability <strong>of</strong> <strong>the</strong> setting to provide or facilitate<br />

functional outcomes (e.g., leisure experiences).<br />

b. Aff ective attachment was positively infl uenced<br />

by place identity (� = .77, t = 34.46) and<br />

accounted for 64 percent <strong>of</strong> <strong>the</strong> variance for <strong>the</strong><br />

San Diego data and 65 percent <strong>of</strong> <strong>the</strong> variance<br />

in <strong>the</strong> Los Angeles data. Th us, <strong>the</strong> sentiment<br />

respondents associated with <strong>the</strong> setting was a<br />

product <strong>of</strong> <strong>the</strong> association between <strong>the</strong> physical<br />

environment and <strong>the</strong>ir self-conceptualization.<br />

c. Place identity positively predicted social<br />

bonding (� = .80, t = 34.40). Th is dimension<br />

accounted for 64 percent <strong>of</strong> <strong>the</strong> variance in social<br />

Table 4.—Structural model analysis<br />

Dependent variable β t-value R2 Place dependence<br />

Affective attachment<br />

Social bonding<br />

bonding for <strong>the</strong> San Diego data and 65 percent<br />

<strong>of</strong> <strong>the</strong> variance for <strong>the</strong> Los Angeles data. Th is<br />

fi nding suggests that self-conceptualizations are<br />

closely intertwined with respondents’ social ties.<br />

4.0 CONCLUSIONS<br />

In this investigation, we adapted identity <strong>the</strong>ory to<br />

reposition identity in <strong>the</strong> conceptualization <strong>of</strong> humanplace<br />

bonding. Guided by tenets <strong>of</strong> identity <strong>the</strong>ory, we<br />

proposed a revised causal structure <strong>of</strong> place attachment<br />

in which <strong>the</strong> cognitive component (place identity)<br />

precedes o<strong>the</strong>r aff ective and conative facets. Analyses<br />

<strong>of</strong> two datasets (San Diego and Los Angeles) provided<br />

strong support for our reconceptualization <strong>of</strong> <strong>the</strong> place<br />

attachment construct and its associated measures. In our<br />

results, all signifi cant relationships demonstrated that<br />

place identity positively predicted <strong>the</strong> o<strong>the</strong>r dimensions<br />

(i.e., aff ective, place dependence, and social bonding).<br />

We <strong>the</strong>refore suggest that identifi cation processes are a<br />

driver <strong>of</strong> o<strong>the</strong>r aff ective and conative elements. As a guide<br />

for future model testing, identity <strong>the</strong>ory could provide<br />

<strong>research</strong>ers with a stronger <strong>the</strong>oretical base to construct<br />

hypo<strong>the</strong>ses about <strong>the</strong> relationships between o<strong>the</strong>r<br />

leisure-related constructs, such as enduring involvement,<br />

commitment, loyalty, and specialization.<br />

5.0 CITATIONS<br />

Anderson, J.C.; Gerbing, D.W. 1982. Some methods<br />

for respecifying measurement models to obtain<br />

unidimensional construct measurement. Journal <strong>of</strong><br />

Marketing Research. 19: 453-460.<br />

Bollen, K.A. 1989. Structural equations with latent<br />

variables. New York: John Wiley & Sons.<br />

Burke, P.J. 1989a. Academic identity and race<br />

diff erences in educational aspirations. Social Science<br />

Research. 18: 136-150.<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 />

.83<br />

.77<br />

.80<br />

35.12<br />

34.46<br />

34.40<br />

San Diego Los Angeles<br />

.77<br />

.59<br />

.64<br />

.63<br />

.60<br />

.65<br />

124

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