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55(2. 09).
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[11]
01(6. 43).
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[15]
38(3. 19).
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[19]
27(3. 02) ns Rewards.
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[17]
37(2. 49).
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[10]
65(2. 67).
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[13]
74(3. 33).
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[19]
17(4. 66) Female Win.
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[18]
71(4. 16).
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[10]
14(4. 01) ns.
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[13]
41(1. 73) ns.
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[18]
88(4. 58) ns Rewards.
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[15]
68(2. 52).
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[10]
38(2. 52).
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74(3. 13).
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91(5. 12) Note: * P<0. 01,* P<0. 05,same as follows Table 2 Personal projects different from male athletes and female athletes' intention to reward risk-taking under the analysis of clues to M (SD) Gender Treatment conditions Economic Risk P Social Risk P Entertainment Risk P Health Risk P Male Win.
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09(2. 21).
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[12]
09(6. 55).
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[16]
43(3. 32).
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38(3. 54) * Rewards.
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[19]
17(2. 38).
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[10]
71(2. 32).
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[10]
57(3. 02).
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69(4. 76) Female Win.
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[18]
63(4. 11).
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[10]
11(4. 34) ns.
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[13]
61(1. 75) ns.
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[22]
12(4. 58) ns Rewards.
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[17]
99(2. 08).
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52(2. 04).
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72(2. 46).
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99(3. 65) Specific individuals or groups that do not do the beliefs and the corresponding motivation Attitude Lead to some results on the behavior of individual beliefs and the evaluation of these results Subjective criteria norms and attitudes Aim Action Figure 1. Behavioral Intention Model (Martin Fishbein and Lcek Ajen, 1980) (Martin Fishbein and Lcek Ajen,1980).
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