Initial Psychometric Properties of the Korean Altman Self-Rating Mania Scale: Preliminary Validation Study in a Non-Clinical Sample

Article information

Psychiatry Investig. 2017;14(5):562-567
Publication date (electronic) : 2017 September 11
doi :
Department of Psychology, Seoul National University, Seoul, Republic of Korea.
Correspondence: Bin-Na Kim, PhD. Department of Psychology, Seoul National University, 1 Gwanak-ro, Gwanak-gu, Seoul 08826, Republic of Korea. Tel: +82-2-880-6431, Fax: +82-2-880-6085,
Received 2016 April 22; Revised 2016 July 05; Accepted 2016 August 05.



We aimed to examine the reliability and validity of the Korean Altman Self-Rating Mania Scale (K-ASRM) in a large sample of Korean non-clinical undergraduates.


Participants (n=1,091) filled out the K-ASRM with other self-report questionnaires assessing bipolarity, mood symptoms and affect. Reliability test, exploratory factor analysis and correlation analyses were conducted to examine its psychometric properties.


The reliability of the K-ASRM was adequate (Cronbach’s α=0.73, item-to-total correlation 0.53–0.78) and the exploratory factor analysis yielded one factor of mania. The K-ASRM demonstrated significant associations with measures of hypomanic personality (r=0.33), lifetime history of hypomanic symptoms (r=0.23). Also, the K-ASRM was significantly correlated with positive affect (r=0.53), negative affect (r=-0.17) and depressive symptoms (r=-0.35).


These results suggest preliminary possibility that the K-ASRM can be utilized as self-rating tool for mania in Korea as well as future directions for further validation.


Is self-rating of mania reliable and valid?1 The obvious scarcity of mania self-rating scales reflects the common notion that mania cannot be measured by self-rating. To date, mania has been primarily measured by clinician rating scales such as Young Mania Rating Scale (YMRS),2 Bech-Rafaelsen Mania Rating Scale (MRS)3 or Clinician Administered Rating Scale for Mania (CARS-M).4 Lack of illness insight, uncooperative attitude of manic patients were mentioned as possible reasons why reliability and validity of self-report method could be hampered.

Recently, a few self-rating scales for mania have been developed and demonstrated promising results. The Internal State Scale (ISS) developed by Bauer et al.5 includes ‘activation’ subscale which constitutes core characteristics of mania. The Self-Report Manic Inventory (SRMI) is another self-report scale assessing mania.6 These scales evidenced concurrent validity with clinician rating scales of mania and scores of these scales could correctly classify manic patients against other psychiatric patient groups. Moreover, the finding that endorsing lack of insight item was not significantly related to self-reported symptom severity levels on the SRMI challenged the pre-existing notion that self-reporting of mania is unreliable. However, omission of prominent manic symptoms (e.g., decreased sleep, pressured speech) and absence of dropout information were discussed as limitations of these scales.7

Among the self-report scales for mania, the Altman Self-Rating Mania Scale (ASRM) is a 5-item questionnaire designed to assess the presence and/or severity of manic symptoms in accordance with the Diagnostic and Statistical Manual of Mental Disorders-fourth edition (DSM-IV) criteria.7 The ASRM comprises of 5 groups of statements asking how often respondents experienced elevated mood, increased self-esteem, less need for sleep, pressured speech and psychomotor agitationduring the past week. In the development study by Altman et al.7 the score of the ASRM demonstrated strong positive correlation of 0.7–0.8 with scores of the YMRS and the CARS-M. In addition, the score of the ASRM was sensitive to changes following treatment. Moreover, similar to the results obtained from the SRMI (c.f. although this study used subjective item of insight),6 whether manic patients had insight on the objective measure (item 15 on the CARS-M) did not differently influence theself-reported ASRM score, thereby suggesting appropriateness of the ASRM as self-report measure.

Since the ASRM is a very brief questionnaire which requires only a few minutes to complete, it possesses practical strength for screening and monitoring manic symptoms in either in/outpatient clinical settings as well as research settings.7 Also, good psychometric properties of the ASRM strengthen its utility as a self-rating measure of mania. The comparative superiority of the ASRM over other self-rating scales for mania (ISS, SRMI) has been reported by Altman et al.8 Basically, all three scales showed satisfactory reliability and validity but the ASRM outperformed in terms of screening patients in acute mania with brevity. In these regards, the ASRM has been widely utilized in a number of bipolar researches910111213 and it was recently recommended by the DSM-514 as self-report tool of manicsymptom severity.

To the best of our knowledge, there are even fewer self-rating options available for mania especially in Korea. At present, most validated self-report tools for mania or hypomania (e.g., Mood Disorder Questionnaire, Hypomania Checklist-32, Bipolar Spectrum Diagnostic Scale) are screening instruments.151617 Since these instruments were developed to sensitively detect under-recognized bipolar patients primarily in patients with depressive episodes, they cannot be used to measure current symptom severity. Of exception, Cha et al.18 developed the Patient Mood Chart (PMC), which is an adapted version of the Prospective Life-Chart Method (LCM-P).19 In this development study, manic symptoms ratings on this mood chart showed significant correlation of 0.7–0.8 with the YMRS. However, the main purpose of the PMC was to monitor mood symptoms on a daily basis and the format is somewhat different from other self-report scales of mania.

The main objective of this study is to test reliability and validity of the Korean version of ASRM (K-ASRM) in large non-clinical samples of undergraduates as a preliminary step of validation. To this end, the internal consistency, factor structure and correlation of the K-ASRM with theoretically-relevant constructs were examined. Given that the ASRM intends to assess mania, the K-ASRM was expected to show positive correlation with hypomanic personality, lifetime history of hypomanic symptoms and positive affect. On the other hand, the K-ASRM was expected to demonstrate negative correlation with negative affect and depressive symptoms.



In total, 1,091 Korean undergraduates from 3 universities located in Seoul and Gyeonggi Province participated in this study (54% female, mean age=20.58). All procedures and materials were approved by the Institutional Review Board (IRB) and informed consent was obtained prior to participation. Study participants received credits for completing the questionnaires as partial fulfillment of undergraduate psychology course requirements.


The Korean Altman Self-Rating Mania Scale

The K-ASRM is a 5-item self-report questionnaire to assess the presence and/or severity of manic symptoms (elevated mood, increased self-esteem, less need for sleep, pressured speech and psychomotor agitation) over the past week. In the beginning of the original scale construction, 14 groups of statements were contained.7 Subsequently, the principal component analysis (PCA) of the 14 items revealed 3 separate factors-mania, psychosis and irritability. Given that the other 2 factors (psychosis, irritability) failed to distinguish manic from non-manic patients, these items were excluded in the final scale. Finally, the 5 items comprising mania factor were chosen. Each item is scored on the 5-point Likert scale (0=absent to 4=present to a severe degree). Total scores range from 0 to 20, with higher scores indicating the presence of more severe manic symptoms.

Permission for validation was obtained from the original author, Dr. Altman (personal communication, March 24, 2015). The first author translated the English items into Korean and a bilingual person checked if the meaning of translated items matched the original contents (Supplementary Material in the online-only Data Supplement).

The Hypomanic Personality Scale

The HPS is a 48-item self-report questionnaire, developed by Eckblad and Chapman20 to identify individuals at risk for bipolar disorder. Each item is answered on the true-or-false format and contents of the items include episodic fluctuations in affect, behavior and energy level. Reliability and validity of the HPS were widely tested in numerous studies.212223242526 Among them, Kwapil et al.23 showed that high scorers of the HPS reported more bipolar disorders and major depressive episodes than the control group in the 13-year-follow up to demonstrate predictive validity. Recently, high scorers on the HPS is considered to belong to the softer spectrum of bipolar disorder.2427 Korean version of the HPS was translated by Kim and Oh28 and Cronbach's α in this study was 0.85.

The Hypomanic Symptom Checklist-32

The HCL-32 is a 32-item self-report screening tool for hypomania, developed by a group of international bipolar researchers29 to increase the detection of bipolarity among depressed patients. Sensitivity and specificity of the HCL-32 were examined in the receiver-operating characteristic (ROC) curve analysis and the total score is shown to discriminate bipolar patients from unipolar depression patients.29 It is not appropriate to use the HCL-32 for screening purpose in non-clinical samples.3031 We chose this scale not to screen but to measure lifetime history of hypomanic symptoms, based on the fact that the HCL-32 adopted a dimensional view of bipolarity in construction and that previous studies showed that the factor structure is fairly similar in clinical and non-clinical samples.2931 Korean version of the HCL-32 was translated and validated by Oh et al.16 and Cronbach's α in this study was 0.80.

Positive and Negative Affect Schedule

The PANAS is developed by Watson et al.32 and comprises of 10 positive-affect and 10 negative-affect items. This scale was constructed on the empirical and conceptual basis that positive and negative affect emerge as two dominant and relatively independent dimensions.32 Each item is rated on the 5-point Likert scale. Korean version of the PANAS was validated by Lee et al.33 and Cronbach's α in this study was 0.86 for positive, 0.90 for negative affect.

Center for Epidemiologic Studies Depression Scale

The CES-D is a 20-item self-report questionnaire, developed by Radloff34 to assess the severity of behavioral, somatic and cognitive symptoms of depression. The Korean version of the CES-D was validated by Chon et al.35 and Cronbach's α in this study was 0.90.

Statistical analysis

To verify reliability, internal consistency (Cronbach's α) and item-to-total correlations were computed. Exploratory factor analysis (EFA) was performed to explore the factor structure. In the original development study, Altman et al.7 performed the PCA to extract the mania factor; however, they did not exactly carry out factor analysis. In those days, the PCA and factor analysis were interchangeably used in some studies; however, nowadays it is increasingly recognized that those methods have separate statistical assumptions and implications.36 Strictly speaking, the PCA is a means of data reduction by extracting ‘component’; whereas, factor analysis is used in order to derive latent construct, ‘factor’ from manifest variables. In the EFA of the K-ASRM, principal axis factoring extraction extraction was used and the minimum threshold for a significant factor loading was defined 0.30 and above.37 Afterwards, correlation analyses with other questionnaires (HPS, HCL-32, CES-D, PANAS) were carried out to demonstrate the convergent validity of the ASRM.

Data were analyzed using the SPSS 18.0 and statistical significance was defined at 0.05 level. The whole sample (n=1,091) was divided into two groups, because the first group answered only the K-ASRM and the second group completed the other questionnaires along with the K-ASRM. Data from the first group (n=536) was used for reliability test and exploratory factor analysis. Correlation analyses were performed using the data from the second group (n=555). There was no significant group difference in demographic variables.



As can be seen in the Table 1, internal consistency the K-ASRM was appropriate (Cronbach's α=0.73), which was comparable to that of the original version (Cronbach's α=0.79; Altman et al.7). In addition, the range of the item-to-total correlation was from 0.53 (item 3) to 0.78 (item 5) and all of the correlations were significant at p<0.01 level.

Table 1

Reliability and factor loading of the ASRM (N=536)

Exploratory factor analysis

In order to explore factor structure of the K-ASRM, EFA of all the five items was conducted. The Kaiser-Meyer-Olkin (KMO) of sampling adequacy was 0.7638 and the Bartlett's test of sphericity was significant, χ2 (10, n=536)=565.49, p<0.0001, indicating a high level of inter-item correlation required for factor analysis.

In determining the number of factor, the following three criteria were applied. Firstly, in terms of theoretical interpretability, the five items were constructed to represent uni-factor of mania.7 In addition, both the rule of the Eigen value ≥1.0 and the scree plot analysis also supported the existence of one factor in the K-ASRM. Therefore, the number of factor was determined as one and the factor was extracted via principal axis factoring. The results of the EFA are reported in the Table 1. All items loaded on the factor ‘mania’ and the range of factor loading was 0.34–0.70, p<0.01.

Descriptive statistics

Prior to correlation analyses, descriptive statistics of the K-ASRM and other questionnaires were computed (Table 2). There was no gender difference in the scores of K-ASRM, CES-D, HPS, HCL-32 and NA subscale of the PANAS (p>0.05). The only gender difference emerged in the PA subscale of the PANAS and male participants tended to show higher PA scores (t=3.36, p<0.01), which is in line with previous reports.39

Table 2

Correlations between the ASRM and other variables (N=555)

In addition, in order to describe sample characteristics, distribution of the CES-D and HCL-32 scores were examined. Results showed that 43.6% of participants belonged to the ‘probable depression‘ range (CES-D≥16) and 17.6% were classified as ‘definite depression’ (CES-D≥25).40 Considering that the prevalence estimates on the CES-D peaks around the age from 16 to 19 in Korea (46.8% for probable depression, 22.7% for definite depression),41 these somewhat high estimates from undergraduate samples in young adulthood (mean age=20.58) seem understandable. In regard of the HCL-32, there are previous investigations suggesting that not sum score but ‘duration’ and ‘presence of impairment’ items may be more informative in non-clinical samples to identify ‘probable hypomania’ group.3031 Taking this recommendation into account, 4.6% of the participants belonged to probable hypomania group.a, This estimate corresponds to the recent report that prevalence rate of wider bipolar spectrum including bipolar not otherwise specified (NOS), cyclothymia is approximately 4.4% in general population.42

Convergent validity

Correlation analyses were performed to explore the relationship between the K-ASRM and other relevant variables (Table 2). As expected, the K-ASRM correlated positively with adjacent constructs of bipolarity. The K-ASRM was significantly associated with both hypomanic personality and lifetime history of hypomanic symptoms (r=0.33, r=0.23, p<0.01, respectively). Also, the K-ASRM had considerable positive association with positive affect (r=0.53, p<0.01). Conversely, the K-ASRM showed negative associations with negative affect and depressive symptoms (r=-0.17, r=-0.35, p<0.01, respectively), as expected.


The ASRM is a brief yet psychometrically-sound self-rating scale of mania, recommended by the DSM-5.14 The present study is the first report of psychometric properties of the K-ASRM. The K-ASRM had adequate internal consistency and one-factor structure. In addition, the K-ASRM was significantly associated with measures of bipolarity, depressive symptoms and affect in the expected direction. Taken together, these results indicate that the K-ASRM possess reliability and preliminary validity.

However, in a sense, the results of this study should be deemed a preliminary step of validating the K-ASRM. These results should be interpreted within some limitations that also suggest future directions for further validation of the K-ASRM. Firstly, we used only non-clinical samples and demographic variables other than gender, age were not collected. Usage of large non-clinical sample has practical advantage to increase statistical power and can be justified as entry point in the validation process. But it is necessary to emphasize that these results from non-clinical sample should be cautiously interpreted, because the original ASRM was developed for use in clinical samples and its clinical utility in general population has not been empirically tested yet. Therefore, it is not certain whether the items derived from the response of bipolar patients actually tap the identical concept, ‘mania’ in non-clinical samples as well. For example, item 1 (elevated mood) asks if one felt happier or more cheerful than usual. Shall this item be perceived in the same manner by non-clinical participant to signify pathological mood elation rather than normal happier mood? In this regard, we cannot conclude with confidence that the scores of the K-ASRM has equivalent meaning in measuring mania at this stage. Strictly speaking, the validity of the K-ASRM as mania self-rating remains half-answered until results from bipolar sample supplement the aforementioned gap.

Therefore, next step of the validation process should be recruiting a well-defined clinical sample of bipolar disorder patients along with other major psychiatric control group. Validation study in clinical samples would allow one to test not only reliability, validity but also feasibility of the K-ASRM asmania self-rating; that is, if in/outpatients can actually self-report their manic symptoms following the instruction. After data in clinical samples are obtained, optimal cutoff score of the K-ASRM should be analyzed to aid its interpretation in clinical and research settings.

Secondly, the present study can be criticized for entire reliance on self-report measures. In particular, in order to verify the concurrent validity of the K-ASRM, clinician rating scales of mania such as YMRS, MRS or CARS-M should be utilized in the future researches in clinical samples. It should be directly examined if scores of the K-ASRM well correspond to other clinician rating scales of mania. Thirdly, the cross-sectional design of the present study limits the chance of examining sensitivity-to-change issue. It is necessary to examine if the K-ASRM is sensitive to change in manic symptoms following treatment.

Lastly, in terms of coverage, one can argue that the K-ASRM does not fully encompass a wide range of manic symptoms. Since the K-ASRM has only 5 items, its brevity has both advantages and disadvantages. Previous investigations indicated that mania is a multifaceted construct composed of distinct factors,43 and factor analyses of hypomania revealed dual structure of bright side (active/elated factor) and dark side (irritable irritable/risk-taking factor).44 According to this distinction, it is true that the item contents of the K-ASRM mainly pertain to the bright side.b Therefore, in using the K-ASRM, one should be aware of the limitation that this measure may overlook the dark side of mania.

Nevertheless, this study is meaningful to provide the initial psychometric properties of the K-ASRM. Although it was common to measure the severity of manic symptoms through clinician-rating interviews, recently-developed self-report measures demonstrate promising psychometric support.12 If adequate psychometric support is warranted, self-report method has practical advantages, which can contribute to research and clinical practice. Self-report method is less time and effort-consuming than clinician ratings. Therefore, self-reports can be easily used in cases of initial mass screening and repeated symptom monitoring. Also, self-reports can be used as adjunct assessment to clinician-ratings so as to capture subjective experience of respondent. We hope that the current study could serve as the first step of validation so that the K-ASRM can be utilized as valid self-report measure of manic symptom in Korea in the near future.


aMeyer et al.31 defined ‘probable hypomania’ as reporting highs that lasted at least 4 days and that accompanied negative consequences. However, it is a common notion that hypomania is not necessarily experienced as being negative and it can be subjectively perceived to be even positive. Therefore, we adapted the probable hypomania criteria: (a) lasting at least 4 days, (b) presence of functional change whether it is either negative or positive.

bIn these regards, it is understandable that the positive association of the K-ASRM is stronger with the positive affect (r=0.53) than with hypomanic personality (r=0.33) or lifetime history of hypomania symptoms (r=0.23) which include both bright and dark sides of hypomania. We thank the anonymous reviewer for providing extended view of our results.


1. Altman E. Rating scales for mania: is self-rating reliable. J Affect Disord 1998;50:283–286. 9858088.
2. Young R, Biggs J, Meyer D. A rating scale for mania: reliability, validity, and sensitivity. Br J Psychiatry 1978;133:429–435. 728692.
3. Bech P, Bolwig T, Kramp P, Rafaelsen OJ. The Bech-Rafaelsen Mania Scale and the Hamilton Depression Scale. Acta Psychiatr Scand 1979;59:420–430. 433633.
4. Altman EG, Hedeker DR, Janicak PG, Peterson JL, Davis JM. The Clinician-Administered Rating Scale for Mania (CARS-M): development, reliability and validity. Biol Psychiatry 1994;36:124–134. 7948445.
5. Bauer MS, Crits-Cristoph P, Ball WA, Dewees E, McAllister T, Alahi P, et al. Independent assessment of manic and depressive symptoms by self-rating. Arch Gen Psychiatry 1991;48:807–812. 1929771.
6. Shugar G, Schertzer S, Toner BB, DiGasbarro I. Development, use, and factor analysis of a self-report inventory for mania. Compr Psychiatry 1992;33:325–331. 1395552.
7. Altman E, Hedeker D, Peterson JL, Davis M. The Altman Self-Rating Mania Scale. Biol Psychiatry 1997;42:948–955. 9359982.
8. Altman E, Hedeker D, Peterson JL, Davis JM. A comparative evaluation of three self-rating scales for acute mania. Biol Psychiatry 2001;50:468–471. 11566165.
9. Bopp JM, Miklowitz DJ, Goodwin GM, Stevens W, Rendell JM, Geddes JR. The longitudinal course of bipolar disorder as revealed through weekly text messaging: a feasibility study. Bipolar Disord 2010;12:327–334. 20565440.
10. Chaddock CA, Barker GJ, Marshall N, Schulze K, Hall MH, Fern A, et al. White matter microstructural impairments and genetic liability to familial bipolar I disorder. Br J Psychiatry 2009;194:527–534. 19478293.
11. Johnson SL, McKenzie G, McMurrich S. Ruminative responses to negative and positive affect among students diagnosed with bipolar disorder and major depressive disorder. Cogn Ther Res 2008;32:702–713.
12. Miller CJ, Johnson SL, Eisner L. Assessment tools for adult bipolar disorder. Clin Psychol (New York) 2009;16:188–201. 20360999.
13. Surguladze SA, Marshall N, Schulze K, Hall MH, Walshe M, Bramon E, et al. Exaggerated neural response to emotional faces in patients with bipolar disorder and their first-degree relatives. Neuroimage 2010;53:58–64. 20595014.
14. American Psychiatric Association. Diagnostic and Statistical Manual of Mental Disorders-5th Edition (DSM-5) Washington DC: American Psychiatric Association; 2013.
15. Jon DI, Hong N, Yoon BH, Jung HY, Ha K, Shin YC, et al. Validity and reliability of the Korean version of the Mood Disorder Questionnaire. Compr Psychiatry 2009;50:286–291. 19374975.
16. Oh MY, Sung TH, Lee EH, Hong KS, Lee DS, Kim JH. Reliability and validity of the Hypomania Symptom Checklist-32 in Korea. Korean J Clin Psychol 2009;28:321–338.
17. Wang HR, Kim S, Kang SH, Joo YH, Kim CY. The validation study of the Korean version of the Bipolar Spectrum Diagnostic Scale. J Korean Neuropsychiatr Assoc 2008;47:533–539.
18. Cha B, Choi JE, Chang JS, Kim JH, Ha TH, Yoo HJ, et al. Development and validation of the Patient Mood Chart. J Korean Neuropsychiatr Assoc 2009;48:174–181.
19. Denicoff KD, Smith-Jackson EE, Disney ER, Suddath RL, Leverich GS, Post RM. Preliminary evidence of the reliability and validity of the prospective life-chart methodology (LCM-p). J Psychiatr Res 1997;31:593–603. 9368200.
20. Eckblad M, Chapman LJ. Development and validation of a scale for hypomanic personality. J Abnorm Psychol 1986;95:214–222. 3745642.
21. French CC, Richards A, Scholfield EJ. Hypomania, anxiety and the emotional Stroop. Br J Clin Psychol 1996;35:617–626. 8955547.
22. Klein DN, Lewinsohn PM, Seeley JR. Hypomanic personality traits in a community sample of adolescents. J Affect Disord 1996;38:135–143. 8791182.
23. Kwapil TR, Miller MB, Zinser MC, Chapman LJ, Chapman J, Eckblad M. A longitudinal study of high scorers on the hypomanic personality scale. J Abnorm Psychol 2000;109:222–226. 10895560.
24. Kwapil TR, Barrantes-Vidal N, Armistead MS, Hope GA, Brown LH, Silvia PJ, et al. The expression of bipolar spectrum psychopathology in daily life. J Affect Disord 2011;130:166–170. 21056476.
25. Lyon HM, Startup M, Bentall RP. Social cognition and the manic defense: attributions, selective attention, and self-schema in bipolar affective disorder. J Abnorm Psychol 1999;108:273–282. 10369037.
26. Meyer TD, Hautzinger M. Screening for bipolar disorders using the Hypomanic Personality Scale. J Affect Disord 2003;75:149–154. 12798254.
27. Walsh MA, DeGeorge DP, Barrantes-Vidal N, Kwapil TR. A 3-year longitudinal study of risk for bipolar spectrum psychopathology. J Abnorm Psychol 2015;124:486–497. 25938535.
28. Kim YA, Oh KJ. Psychological characteristics of hypomanic tendency as a risk factor for bipolar disorder. Korean J Clin Psychol 1996;5:103–115.
29. Angst J, Adolfsson R, Benazzi F, Gamma A, Hantouche E, Meyer TD, et al. The HCL-32: towards a self-assessment tool for hypomanic symptoms in outpatients. J Affect Disord 2005;88:217–233. 16125784.
30. Lee K, Oh H, Lee EH, Kim JH, Kim JH, Hong KS. Investigation of the clinical utility of the hypomania checklist 32 (HCL-32) for the screening of bipolar disorders in the non-clinical adult population. BMC Psychiatry 2016;16:124. 27146281.
31. Meyer TD, Hammelstein P, Nilsson LG, Skeppar P, Adolfsson R, Angst J. The Hypomania Checklist (HCL-32): its factorial structure and association to indices of impairment in German and Swedish nonclinical samples. Compr Psychiatry 2007;48:79–87. 17145286.
32. Watson D, Clark LA, Tellegen A. Development and validation of brief measures of positive and negative affect: the PANAS scales. J Pers Soc Psychol 1988;54:1063–1070. 3397865.
33. Lee HH, Kim EJ, Lee MK. A validation study of Korea Positive and Negative Affect Schedule: The PANAS scales. Korean J Clin Psychol 2003;22:935–946.
34. Radloff LS. The CES-D scale: a self-report depression scale for research in the general population. Appl Psychol Meas 1977;1:385–401.
35. Chon KK, Choi SJ, Yang BC. Integrated adaptation of CES-D in Korea. Korean J Health Psychol 2001;6:59–76.
36. Fabrigar LR, Wegener DT, MacCallum RC, Strahan EJ. Evaluating the use of exploratory factor analysis in psychological research. Psychol Methods 1999;4:272–299.
37. Costello AB, Osborne JW. Exploratory factor analysis: four recommendations for getting the most from your analysis. Pract Assess Res Eval 2005;10:1–9.
38. Kaiser HF. An index of factorial simplicity. Psychometrika 1974;39:31–36.
39. Crawford JR, Henry JD. The Positive and Negative Affect Schedule (PANAS): construct validity, measurement properties and normative data in a large nonXMLLink_XYZclinical sample. Br J Clin Psychol 2004;43:245–265. 15333231.
40. Cho MJ, Nam JJ, Suh GH. Prevalence of symptoms of depression in a nationwide sample of Korean adults. Psychiatry Res 1998;81:341–352. 9925185.
41. Park JH, Kim KW. A review of the epidemiology of depression in Korea. J Korean Med Assoc 2011;54:362–369.
42. Merikangas KR, Akiskal HS, Angst J, Greenberg PE, Hirschfeld RM, Petukhova M, et al. Lifetime and 12-month prevalence of bipolar spectrum disorder in the National Comorbidity Survey replication. Arch Gen Psychiatry 2007;64:543–552. 17485606.
43. Cassidy F, Forest K, Murry E, Carroll BJ. A factor analysis of the signs and symptoms of mania. Arch Gen Psychiatry 1998;55:27–32. 9435757.
44. Hantouche EG, Angst J, Akiskal HS. Factor structure of hypomania: interrelationships with cyclothymia and the soft bipolar spectrum. J Affect Disord 2003;73:39–47. 12507736.

Supplementary materials

The online-only Data Supplement is available with this article at

Supplementary Material

Korean Altman Self-Rating Mania Scale


Article information Continued

Table 1

Reliability and factor loading of the ASRM (N=536)

Table 1

Factor loadings were obtained from exploratory factor analysis with principal axis factoring extraction. ASRM: Altman Self-Rating Mania Scale

Table 2

Correlations between the ASRM and other variables (N=555)

Table 2

**p<0.01. ASRM: Altman Self-Rating Mania Scale, HPS: Hypomanic Personality Scale, HCL-32: Hypomania Symptom Checklist-32, PA: Positive Affect Subscale of the Positive and Negative Affect Schedule, NA: Negative Affect Subscale of the Positive and Negative Affect Schedule, CES-D: Center for Epidemiologic Studies Depression Scale