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Preliminary Findings
On A New Mood Outook Survey
EdITS is in the proess of developing a new mood
survey. The development of this new survey has been
spurred by theoretical and empirical criticisms of
existing measures. These investigations have
questioned the factor structure of several frequently
used mood surveys. While there is some debate on
the factor structure of mood measures, it is generally
agreed that the study of mood is important in both
applied and clinical psychology. Measures of mood
have been found useful in many different areas such
as clinical studies on cancer patients, in studies of
athletes, and in treatment of outpatients.

Vitality Depression Exhaustion

Hostility

77
.06
-.15
-.08
.68
-.04
-.16
.06
.67
-.05
-.14
-.06
.65
-.14
-.09

-25

64
. -.11
-.10
-.02
.63
-.12
-.09
-.12
62
. -.15
.01
-.06
61
-.10
-.12
.29
.61
-.07
-.03
-.16
.60
-.22
-.06
-.28
-.13
.67
.24

.17

-.17
.66
.09
.14
-.12
.64
.24
.28
-.15
.60
.17

.15

-.32
.59
.27

.28

-.16
.53
.27

.28

-.06
.52
.00

.24

-.04
.48
.31

.09

-.06
.43
.38

.23

.04
.41
.27

.15

-.22
.09
.67

.20

-.15
.11
.66
.17
-.09
.40
.61

.08

-.12
.06
.59

.16

-.11
.35
.59

.15

-.05
.18
.58

.09

-.02
.07
.51

.26

-.26
.32
.51

-.02

-.12
.32
.49

.35

-.13
.24
.43

.29

-.02
.21
.33

.70

-.03
.23
.37

.66

-.13
.20
.33
.64
-.15
.12
.12

.58

-.21
.42
.20

.57

.09
.25
.05

.56

-.09
.29
.18

.56

-.13
.05
.26

.55

-.11
.47
.10

.51

-.09
.28
.01

.39

.87**
.87**
.87**

.89**

*N = 155
**Reliability (Coefficient alpha)

Some mood dimensions have found to be stable over time causing the researchers to view some of these dimensions as unique individual characteristics. McConville & Cooper (1997) had 78 participants complete a mood questionnaire each day over a 32-day period. Results showed that an individual’s mood variations have consistent repeatable characteristics.

Researchers support the use of a mood survey that measures some of these multiple repeatable characteristics as well as one that differentiates between negative mood dimensions because a scale that evaluates depression alone may overlook elevations in other psychological states such as anxiety or stress (Boyle, 1987). According to Boyle (1987) change in depression scores might even result from its correlation with other mood states.

Much of the research on mood has used the Profile of Mood States (POMS; McNair, Lorr, & Droppleman, 1992). This inventory contains six dimensions; Anxiety, Depression, Fatigue, Confusion, Tension and Vigor. Although there is some validity evidence supporting the measure, some reduction in the number of moods presented in the profile might be justified (Norcross, Guadagnoli, & Prochaska, 1984). There is also research that indicates that the POMS excludes other important mood states dimensions such as Friendliness and Worthless-Depression (Boyle, 1987).

In the present study a set of items was developed to measure mood dimensions. The inventory, consisting of 84 items, was administered to 155 college students with the intention of developing a new mood survey. The resulting preliminary factor analysis from the data set supports the literature by showing that fewer than six factors can be used to measure mood. More specifically, Hostility and Tension were so highly correlated that two separate factors were not warranted (r = .82). Confusion and Exhaustion were also highly correlated (r = .71) and the items on these two dimensions loaded on the same factor.

These findings are in line with previous studies, which have shown that here is a high correlation between these dimensions. A follow-up factor analysis was performed which included only the items that loaded highly on each of the four factors. This factor analysis yielded the four factors of Vitality, Depression, Exhaustion, and Hostility which accounted for 46% of the variance in the items. Each of the four factors consisted of 10 items with loadings of .39 or higher on their own dimension.The factor loadings for each item are shown in Table 1. The reliabilities for these factors ranged from .87 to .89 and are shown in Table 1 at the bottom of each labeled scale. The intercorrelations between scales range from -.34 to .64 which are acceptable for a mood survey.

This initial data analysis demonstrates a viable four-factor structure eliminating a hypothesized Tension factor and combining the Confusion and Exhaustion factors into a single dimension labeled Exhaustion. Further data gathering and analysis are planned in order to obtain more validity evidence that would support the new measure. If you are interested in being a part of the new study please contact EdITS Research Department at 800-416-1666 or by E-mail at: customerservice@edits.net

References
Boyle, G. J. (1987). A cross-validation of the factor structure of the Profile of Mood States: Were the factors correctly identified in the first instance? Psychological Reports, 60, 343-354.

McConville, C., & Cooper, C. (1997). The temporal stability of mood variability. Personality & Individual Differences, 23, 161-164.

McNair, D. M., Lorr, M., & Droppleman, L. F. (1992). EdITS manual for the Profile of Mood States. San Diego, CA: Educational & Industrial Testing Service.

Norcross, J. C., Guadagnoli, E., &, Prochaska, J. O. (1984). Factor structure of the Profile of Mood States (POMS): Two partial replications. Journal of Clinical Psychology, 40, 1270-1277.

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