II (MMPI-2)

1)()*

184( 91, 93) 43( 25, 18) MMPI-2 . 39 141( 73, 68) II(MMPI-2) 122( 66, 56) . 50 , MMPI-2 41( 25, 16) . -(Mf) , Pd, Pa, Pt, Sc 75 , D 70 . , , , . ANX, DEP, BIZ, WRK 70 , , . .

: , II, MMPI-2

*

6 4

Asian Journal of Education

2005, Vol. 6, No. 4, pp. 21-32.

22 6 4

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.

10

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(Walker, 1989).

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Young(1996)

. Young Rogers(1997) BDI(Beck Depression

Inventory) 259

.

. Gunn(1998) 20

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.

(MMPI-2) 23________________________________________________________________________________________________________________________________

Domminick(1984)

(, 2000, ).

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2005) .

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. 2 184( 91

, 93) (, 2000) II(

MMPI-2; , 2005) .

39 (, 2000)

141( 73, 68)

MMPI-2 (

, 2005); (Cannot say) > 0, VRIN > 17, TRIN < 4, TRIN > 15, F > 20.

MMPI-2 19( 7, 12) 122

( 66, 56) . 23(SD=5.8),

22( SD=.6).

. ,

Young(1999)

50 43( 25, 18)

II( MMPI-2; , 2005) .

2

41( 25, 16) . 24

(SD=3.8), 23(SD=2.4).

2)

. 20

Young(1999) .

(MMPI-2) 25________________________________________________________________________________________________________________________________

, , , ,

, 5 . Young(1999) 50

. Young (2000)

20~39 , 40~69

, 70~100 . Young(1999)

(2000) . (Cronbach's alpha) .84.

II ( MMPI-2). 1989 MMPI-2

, 2000 . MMPI

MMPI-2

, , , Type A ,

.

VRIN(Variable Response Inconsistency; ) TRIN(True Response

Inconsistency; )

, Fb(Back F; -)

.

3)

MMPI-2

; (Cannot say) >= 30, VRIN > 17, TRIN < 4, TRIN > 15,

F > 20 ( , 2005).

4)

6 (L, F, K,

Fb, VRIN, TRIN) 10

(MANOVA) . MANOVA ,

F . 15

. MMPI-2

.

26 6 4

________________________________________________________________________________________________________________________________

(N=66) (N=25) (N=56) (N=16)M Sd F M Sd M Sd F M Sd

VRIN 49.97 10.48 11.69*** 58.72 11.94 50.17 9.55 4.17* 55.63 8.86TRIN 57.18 6.08 13.65*** 50.44 11.10 56.63 6.10 .37 55.19 13.49

L 49.47 9.09 4.10* 45.44 6.43 48.29 8.84 3.04 44.13 6.59F 50.65 10.92 47.24*** 76.20 24.61 50.14 9.80 73.06*** 83.88 23.48K 50.03 9.72 3.76 45.60 9.71 47.82 8.07 9.11** 41.06 7.23Fb 51.33 11.34 72.64*** 83.84 25.08 52.32 11.30 71.87*** 87.38 22.89Hs 50.67 11.71 20.29*** 64.00 14.73 49.73 10.30 21.75*** 64.44 13.72D 48.42 11.41 52.76*** 69.68 14.92 49.82 10.06 40.48*** 70.38 15.31Hy 50.73 10.78 31.88*** 67.00 15.59 50.38 10.77 25.67*** 68.00 16.63Pd 49.95 9.81 105.50*** 74.76 11.45 50.13 9.21 103.85*** 78.13 11.28Mf 51.80 10.16 .65 53.92 13.40 50.66 10.18 .02 51.13 10.86Pa 52.35 11.14 57.30*** 78.08 20.99 50.77 10.42 66.86*** 83.19 22.68Pt 51.08 11.22 72.06*** 77.44 17.52 49.86 11.61 54.43*** 75.31 14.01Sc 51.62 12.07 67.87*** 80.80 21.18 49.32 9.56 92.21*** 80.69 16.84Ma 50.48 8.30 22.61*** 61.48 13.14 50.21 10.53 41.66*** 70.13 12.07Si 50.36 8.54 13.81*** 59.44 14.25 49.68 10.51 7.77*** 58.31 12.32

* p >.05. ** p >.01. *** p >.003(Bonferroni).

.

(, 2000)

, 33.6(SD=8.42), 33.01(SD=8.40)

. , 60.52(SD=4.74), 58.5

(SD=5.26).

( t=-19.147, p

(MMPI-2) 27________________________________________________________________________________________________________________________________

.

, -(Mf)

.

Pd, Pa, Pt, Sc 75

, ,

, . D

.

(MANOVA)

( Wilks' Lambda=.37, F(15,75)=8.32, p .05).

(Wilks' Lambda=.47, F(15,25)=1.83, p

>.05).

28 6 4

________________________________________________________________________________________________________________________________

(N=66) (N=25) (N=56) (N=16)

M Sd F M Sd M Sd F M SdANX 49.36 9.56 69.51*** 71.04 14.38 50.41 10.86 48.09*** 72.37 12.22FRS 51.47 9.90 2.03 55.52 16.65 49.62 9.69 25.41*** 66.06 16.50OBS 50.31 10.21 25.62*** 63.72 13.74 51.41 9.38 37.44*** 68.87 12.25DEP 51.01 10.32 74.36*** 74.24 14.11 52.55 10.79 37.31*** 71.62 11.79HEA 51.15 10.99 18.21*** 63.64 15.75 50.83 11.53 24.04*** 67.37 13.13BIZ 50.72 10.43 38.55*** 71.04 20.61 48.51 9.40 45.15*** 72.43 20.28ANG 50.93 9.90 7.05*** 57.56 12.33 50.62 8.35 43.54*** 68.12 12.33CYN 48.40 8.99 4.10* 53.32 13.24 49.41 9.61 12.50*** 59.00 9.36ASP 51.53 10.98 3.33*** 66.60 13.81 48.82 8.40 37.77*** 65.12 12.24TPA 49.30 8.59 2.54 53.00 12.67 50.37 9.22 19.78*** 63.12 12.84LSE 49.34 9.83 55.84*** 69.40 14.89 51.94 11.26 16.89*** 65.93 14.42SOD 50.18 9.12 8.33*** 57.36 13.77 51.14 10.20 .39 53.06 12.80FAM 51.65 11.84 15.91*** 64.08 16.50 50.41 9.28 31.50*** 65.50 10.18WRK 49.33 9.70 54.01*** 69.04 15.10 51.25 11.59 32.53*** 71.31 15.00TRT 49.27 9.28 43.16*** 67.28 16.48 50.83 10.86 20.73*** 67.50 18.56

* p >.05. ** p >.01. *** p >.003(Bonferroni).

. ANX = anxiety, . FRS = fears, . OBS = obsessiveness, .

DEP = depression, . HEA = health concern, .

BIZ = bizzare mentation, . ANG = anger, .

CYN = cynicism, . ASP = antisocial practices, .

TPA = type A, A. LSE = low self-esteem, .

SOD = social discomfort, . FAM = family problems, .

WRK = work interference, .

TRT = negative treatment indicators, .

.

II( MMPI-2; , 2005)

. (, 2000) 39

(, 2000) 50 MMPI-2 .

-(Mf)

, Pd, Pa, Pt, Sc 75

(MMPI-2) 29________________________________________________________________________________________________________________________________

, D 70 .

, ,

, .

FRS, CYN, TPA ,

SOD .

ANX, DEP, BIZ, WRK 70

,

, . MMPI-2

(, 1998; , 2000; , 2000; , 2000).

Sc BIZ

, ,

(2000)

.

.

II(MMPI-2)

MMPI-2 .

.

, ,

, MMPI-2

. D,

Pd, Pt (Butcher & Williams, 2000),

Pa Sc

MMPI-2

, .

, ,

.

30 6 4

________________________________________________________________________________________________________________________________

(2000). . .

, , , , , (2005). II (MMPI-2) .

.

, , , (2000). : ,

. . http//:psyber.lprea.ac.kr

(1999). .

.

(2000). : .

.

(2000). . 19

. .

(2000). . : .

(1998). , , .

.

(2000). .

.

(2002). .

:, 14(4), 55-79.

, (2001). : . 2001

, 223-228.

Gunn. D. A.(1998). Internet addiction. Project Presented to the University of Hertfordshird,

UK. http://147.197.152.160/netquest/ALL-VERs.html

Butcher, J.N., Dahlstrom, W.G., Graham, J.R., Tellegen, A., & Kaemmer, B. (1989).

MMPI-2 (Minnesota Multiphasic Personality Inventory-2):Mannual for

administration and scoring. Minneapolis, Minnesota: University of Minnesota Press.

Butcher, J.N., & Williams, C.L. (2000). Essentials of MMPI-2 and MMPI-A

Interpretation. Minneapolis, Minnesota: University of Minnesota Press.

Walker, M.B. (1989). Some problems with the concept of Gambling Addiction: should

theories of addiction be generalized to include excessive gambling. Journal of

Gambling Behavior, 5, 179-200.

Young, K. S. (1996), "Internet addiction: the emergency of a new clinical disorder",

Cyberpychology and Behavior, 3, 1(3), 237-244.

(MMPI-2) 31________________________________________________________________________________________________________________________________

Young, K.S. (1999). Internet Addiction: Symptoms, Evaluation, and Treatment.

http://netaddiction.com/articles/symptoms.htm.

Young, K. S., Rogers, R. (1997). The Relationship between Depression and Internet

Addiction. CyberPsychology and Behavior, 1(1), 25-28.

* 2005 7 21 / 1 2005 8 19 / 2 2005 11 11

* : . , .

* e-mail: littleicemachine@office.hoseo.ac.kr

32 6 4

________________________________________________________________________________________________________________________________

MMPI-2 Profiles of College Students at High-Risk of

Internet Game Addiction

2)Jeeyoung Lim*

This study examined the MMPI-2 Profiles of college students at high-risk of internet

game addiction. 184 college students (male 91, female 93) were administered the internet

addiction scale. 141 students (male 73, female 68) with internet addiction scale scores of

39 or lower were considered average internet users and administered the Korean

MMPI-2. 122 students (male 66, female 56) with valid MMPI-2 profiles consisted of final

normal sample. High-risk group consisted of 41 college students who received

psychological services due to internet game addiction and produced internet addiction

scale scores of 50 or greater with valid MMPI-2 profiles. Students at high-risk of internet

game addiction obtained significantly elevated scores on all MMPI-2 validity and clinical

scales except Mf scale. Scores on Pd, Pa, Pt, and Sc were very much elevated with

scores of 75 of greater. When content scale scores were examined, high-risk group

produced highly elevated scores on ANX, DEP, BIZ, and WRK. These results suggest that

students at high-risk of internet game addiction are more likely to be depressed, anxious,

and unrealistic, and may have behaviors or attitudes that contribute to poor work

performance. Limitations of this study and suggestions for further research were

discussed.

Key words: Internet Game Addiction, MMPI-2, College Students

* Department of Industrial Psychology, Hoseo University

Abstract