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: * (Theory of Planned Behavior; Ajzen, 1991),.,,,.,. 50 69 192.,..,,.. * 2012 ( ) (NRF-2012-S1A3A2-033609). :,, Tel : 033-248-1723, E-mail : jilee@hallym.ac.kr)

, (, 2014). 2013 1 57, 2 97 1 33, 2 57 (, 2014). (,, 2011). 28.8%,, 60 60%, 50 36% (, 2016).,.,,. (, 2013).... (,, 2006; Ranzijn, 2002). (activity theory)., (, 2004).,...,

. (,, 2012)... (life-span development)., (, 2004).. Erikson (integrity vs. despair).,. (WHO, 2002), (OECD, 1998).,... (active ageing),, (WHO, 2002).,. (activity theory).

, (, 2004)., (Glass, Leon, Marrottoli, & Berkman, 1999). Havighurst(1968),. Havighurst,...,,, (, 2009).,,., (productive aging) (Butler & Gleason, 1985:,,, 2009 )., (Rowe & Khan, 1997). (, 2010).,,,., (, 2011). (, 2012).. ( ). (, 2011). (protean career),. (,, 2014).,

.... (Hanka & Stucka, 2008).,.,,...,.,, (Cernin, Lysack, & Lichtenberg, 2011).. (, ) Ajzen (1991). Ajzen(1991) (Theory of Reasoned Action, TRA). Fishbein Ajzen(1975) (intention),.., Ajzen.,,., (, 2012)..,

.,.,. (,,,, ).,,. (attitude). (subjective norms; ). (perceived behavioral control). Bandura (self-efficacy).,,, (Ajzen, 1991). (, ). Ajzen 3 (p, 119)., (Armitage & Conner, 2001) (Hagger et al., 2002). (Sheeran, 2002)., - (,,, ). (Armitage & Conner, 2001; Gollwitzer, 1999).. (post-retirement preparation)

(, 2013;, 2008)..,, (,, 2014). 15 (,, 2011).,.. Adams Rau(2011),,. (Wang, 2007). Havighurst(1972:, 2004;, 2012 ). (,, 2010; Donaldson, Earl, & Muratore, 2010).,,, (Petkoska & Earl, 2009). (Moen, 1996).. (, 2003;, 1999)... Carstensen(1992) (socioemotional selectivity theory),.. (Hobfoll, 2002).,

.. (preparation), (Thoenissen & Zilles, 2001). (planning)., (Jones, 2001).,.,., (,, 2013). (, 2009).,. /. (,, 2008).,..,., (,, 2009)..,., /,, /.. 1.,,. 2.,,..

.., (Handbook of theories of aging, 1999). Wang Shultz(2010),,,,,,. (, 2013).,... (Debb & Jeste, 2006),... (Bowling, 2008). (2012),.,, (Adams & Rau, 2011). (Rowe & Kahn, 1997). (Granovetter, 1995).. 3.. 4..,,.,.

.,,.,..... /., (Jex, Wang, & Zarubin, 2007),.. 5.,,. 5-1. /. 6.,,. 6-1. /.,

1, 2. 50 ~69. 50, ( ) 40~45. (Berkman, Ertel, & Glymour, 2011) 50., 53 (,, 2011), 50 60. 60. 50~60...., 50 60. 2014 4 5, 192..,,..,,, (2014) ( =.77). 5 ( =.61), 4 ( =.67), (, ) ( ), (, ) ( ). Likert 5 (1=, 5= ). 5, 1.,,, (2011)

.,,, (, 2011)., (, 2014).,.,. ( =.80), 5 ( =.56), 5 ( =.80). ( ), ( ). Likert 5 (1=, 5= ). 5, 1,. (,, ),, 14 (Ajzen, 2002; Francis et al., 2004). / ( ),,,, ( ), ( ). Likert 5 (1=, 5= ). 5,,, 1,,.,,.78,.50,.73,,,.75,.63,.78.., 6, 5, 5, 5 (,, 2013;, 2012;,, 2010;, 2009;, 2009;, 2004;, 2000;, 1988; Petkoska & Earl, 2009). ( ), ( ),

( ), ( ). Likert 5 (1=, 5= ). 5, 1. 6 15...75,.77,.58,.74, ( =.87). SPSS WIN 18.0 AMOS 18.0.,,.. 1,. 109 (56.8%), 83 (43.2%), ( ) (%) 109 56.77 83 43.23 50-54 20 10.42 55-59 82 42.71 60-64 45 23.44 65-69 45 23.44 49 25.52 111 57.81 32 16.67 180 93.75 12 6.25 149 77.60 43 22.40 100 4 2.08 100-150 24 12.5 150-200 25 13.02 200-250 25 13.02 250-300 33 17.19 300 81 42.19 74 38.54 118 61.46 32 16.67 160 83.33

50 59 102 (53.1%), 60 69 90 (46.9%). 160 (83.3%), 32 (16.6%), 111 (57.8%). 180 (93.75%). 149 (77.6%). 300 81 (42.19%), 200~300 58 (30.21%), 200 53 (27.6%). 74 (38.5%), 118 (61.5%). 158 (82.2%), 32 (16.6%), 2 (1%).,,,,. 2.. ( =.09, =.220) ( =.13, =.079)., 1 2 3 4 5 6 7 8 9 10 11 12 13 1. (.78) 2..26** (.50) 3..20**.34** (.73) 4..65**.22**.19** (.75) 5..11**.39**.43**.31** (.63) 6..15**.25**.66**.31**.58** (.78) 7..27**.13**.48**.29**.39**.65** (.87) 8..10**.04**.30**.21**.20**.53**.78** (.75) 9..16**.07**.38**.20**.33**.56**.81**.53** (.77) 10..28**.21**.49**.21**.29**.48**.72**.40**.48** (.58) 11..28**.07**.25**.32**.29**.50**.72**.56**.46**.45** (.74) 12..35**.09**.30**.37**.30**.43**.50**.33**.29**.39**.54** (.77) 13..29**.23**.47**.32**.44**.57**.64**.42**.55**.51**.54**.65** (.80) 4.17 4.02 3.73 4.13 3.62 3.58 3.42 3.57 3.37 3.44 2.98 3.35 3.02.45.43.55.43.54.60.48.68.64.52.78.60.55-2.54-1.14-1.77-1.63-3.12-1.26-2.74-5.88-3.49 -.64-1.61.11 1.20-1.38 -.16 -.76 1.00.40-1.66 -.30 2.07 -.07-1.67-1.49-1.53-1.63. N=192, * <.05, ** <.01; Cronbach s

.. ( 3) =265.797( =125), RMSEA=.077, GFI=869, CFI=.857, TLI=.825, ( 4) =338.881 ( =160), RMSEA=.077, GFI=858, CFI=.866, TLI=.840.,,. RMSEA.08 (Browne & Cudeck, 1993).. ( =.77, <.001) ( =1.20, =.025) 1, 2. ( =.32, =.004) ( =.68, <.001), ( =-.36, =.068). 3 ( 3 )., ( =-.63, =.015), ( =1.27, <.001). ( =.15, =.158). 4 ( 4 ).. 3 4. ( =.246, =.193, =.076, =.676) ( =.524, =.340, =.279, =1.317) ( 3 ). ( =-.757, =1.171, =-6.541, =-.163) ( =1.528, =1.815, =.538,

.246 -.276.524.345 -.270.443.193.319.340.140.224.191.005.050.002.007.104.003 LL.076-1.006.279.106 -.853.134 95% CI. 5,000. ; CI=confidence interval( ), LL=lower limit( ), UL=upper limit( ) UL.676.000 1.317.661.050.915.178 -.757 1.528.345 1.171 1.815. 5,000..111.042.690.127.283.251.115.002.000.365.905.006 95% CI LL UL -.041 1.593-6.541 -.163.538 9.984 -.130.332 -.588.451.264 1.162 =9.984) ( 4 ). 5, 6.,,..,,.,,,.. 5 12., 5

( =.35, =.007), ( =.188, =.217, =-.029, =.510). ( =.39, =.003), ( 6). ( =.255, =.318, =-.001, =1.386) ( =.540, =.688, =-.047, =2.731) ( 7). ( =.220, =.110, =.066, =.511) ( =.381, =.176, =.176, =.833) ( 8).,. ( =-.75, =.010), ( =1.22, <.001)., ( 9). ( =-.52, =.043), ( =1.16, <.001). ( =-.233, =.684, =-2.317, =.029) ( =.516, =.943, =-.058, =2.887) ( 10). ( =.634, =.957, =.185, =2.918) ( 11). ( =-.292, =.738, =-2.456, =-.029) ( =.548, =.907, =.078, =2.750) ( 12).,..,..,,.,,.

.

,,....,.,,,.,.,..,.... (,, 2008; Brenes, Strube, & Storandt, 1998), ( =.39, <.01) ( =.44, <.01)...,..,....,.

.,...,..,,.,, (Granovetter, 1995)..,.,.. (Spector, 1982).,..,. (, 2010). (nomological network).,..,..

,.,.,.,....,.,. Ilmarinen(2011:, 2013 ) Ilmarinen-Richenhagen,., (Seitsamo & Ilmarinen, 1997)..,... (,, 2012),...,..,,.,

(common method bias). 3, 4 Harman (single factor test), 1, 25.8% 22.2%...,.,..,.,.., (Conner & Armitage, 1998)...,,...,.,...,.,., (2013).

. (11), 117-132., (2009).. (3), 57-68. (2009).. (2014).. 14-41.. (2004).. (1999).. (3), 51-64. (2016).,. (2013).. 257-287., (2013).. 231-256., (2010).. (3), 97-119. (2009).. (2013)... (2004).. (1), 53-70. (2008).. (3), 275-297. (2012).. 281-302.., (2011). :. (1), 73-108. (1988).. (2009).. (3), 1107-1122. (2011). 2011.., (2006). Rowe Kahn. (1), 105-123. (2013). :. (3), 57-83.,,, (2014).. (3), 613-630., (2008).. (4), 1213-1225. (2012)..,,, (2011).

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The Mediation Effects of Post-retirement Preparation on Active Ageing and Productive Aging: Based on Theory of Planned Behavior Tae Young, Han Kyo Soo, Shin Juil, Rie Kwangwoon University SPIRINK Hallym University The purpose of this study is to compare rational process of active ageing and productive aging based on the theory of planned behavior. The effect of post-retirement may be influenced by attitude, subjective norms, and perceived behavioral control for old aged workers, then we tested the effect of mediating role of post-retirement preparation on active ageing and productive aging. And we conducted additional analyses of mediating role of post-retirement preparation respectively. Conducting a survey research to 192 employed old aged workers, the data was analyzed by Structural Equation Modeling. The result of this study found the positive effects of attitude and perceived behavioral control on active ageing through post-retirement preparation. There were negative effect of subjective norms and positive effect of perceived behavioral control on productive aging through post-retirement preparation. According to additional analyses, the mediating effect of social post-retirement preparation was significant on active ageing, and the mediating effect of emotional and social post-retirement preparation was significant on productive aging. Suggestions for future research and practical implications were provided based on the findings. Key words : Active ageing, Productive aging, Post-retirement preparation, Theory of Planned Behavior