a preliminary psychometric analysis of a computer-assisted administration of the telephone interview...
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A Preliminary Psychometric Analysis ofa Computer-Assisted Administration ofthe Telephone Interview of CognitiveStatus-ModifiedJ. Galen Buckwalter , Valerie C. Crooks & Diana B. PetittiPublished online: 09 Aug 2010.
To cite this article: J. Galen Buckwalter , Valerie C. Crooks & Diana B. Petitti (2002) A PreliminaryPsychometric Analysis of a Computer-Assisted Administration of the Telephone Interview ofCognitive Status-Modified, Journal of Clinical and Experimental Neuropsychology, 24:2, 168-175
To link to this article: http://dx.doi.org/10.1076/jcen.24.2.168.994
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A Preliminary Psychometric Analysis of a Computer-AssistedAdministration of the Telephone Interview of Cognitive
Status-Modi®ed
J. Galen Buckwalter, Valerie C. Crooks, and Diana B. PetittiDepartment of Research and Evaluation, Southern California Permanente Medical Group, Pasadena, CA, USA
ABSTRACT
Most screening tests of cognitive functioning require face to face administration by trained examiners. Thislimits their utility in epidemiology and in primary care settings. Further, existing screening tests have notbeen developed using established psychometric principles. We adapted the Telephone Interview of CognitiveStatus-modi®ed (TICSm) for administration as a computer-assisted telephone interview (CATI). Wescreened 3,681 elderly women with the CATI version of the TICSm, using lay staff as part of a longitudinalstudy. A preliminary analysis of the psychometric properties of the TICSm indicated good internalconsistency. Test-retest reliability is needed to con®rm reliability. Further work remains to adequately judgethe validity of the TICSm including comparisons with well-standardized tests and assessment of itspredictive properties in identifying dementia. However, the CATI version of the TICSm appears to havepotential as a cost-effective means of testing cognitive performance.
The goal of neuropsychological assessment is to
quantify behavioral expressions of brain dysfunc-
tion (Lezak, 1995). Perhaps the most challenging
context within which neuropsychology attempts
to distinguish between pathological and non-
pathological conditions is among aging adults.
Given `normal' age-related declines in cognition
and accelerated rates of decline associated with
dementia, this distinction can be subtle. Compre-
hensive neuropsychological batteries, in conjunc-
tion with neurological evaluation, laboratory tests
and brain imaging, are the accepted methods for
establishing a diagnosis of dementia. However,
the costs of these procedures preclude their use in
large-scale studies of the epidemiology of demen-
tia and, increasingly, in primary care settings.
The most widely used strategy in both situa-
tions is to employ brief neuropsychological tests,
or cognitive screens, as a method of determining
who should receive a further diagnostic evalua-
tion. The Mini-Mental State examination (MMSE;
Folstein, Folstein, & McHugh, 1975) is the most
widely used instrument. However, the MMSE has
failed to demonstrate consistent predictive ability
among heterogeneous populations (Tombaugh &
McIntyre, 1992). The poor performance of
screening instruments relates, to some extent, to
the failure to develop such tests in accordance
with established psychometric criteria (Gifford &
Cummings, 1999). Further, the in-person format,
frequently with a physician administrator, com-
bined with the length of time required to
administer tests such as the MMSE limits their
usefulness in primary care settings (Tangalos
et al., 1996) and in epidemiological studies.
The Telephone Interview for Cognitive Status
(TICS) and the Telephone Interview for Cognitive
Status-modi®ed (TICSm) show high correlations
Address correspondence to: J. Galen Buckwalter, Ph.D., Southern California Kaiser Permanente Medical Group,100 S. Los Robles Avenue (2nd Floor), Pasadena, CA 91101, USA. Tel.: �1 626 564 5535. Fax: �1 626 564 3430.E-mail: [email protected] for publication: July 10, 2001.
Journal of Clinical and Experimental Neuropsychology 1380-3395/02/2402-168$16.002002, Vol. 24, No. 2, pp. 168±175 # Swets & Zeitlinger
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with the MMSE (Brandt, Spencer, & Folstein,
1988; Plassman, Newman, Welsh, Helms, &
Breitner, 1994). We administered the TICSm in
a computer-assisted telephone interview (CATI)
format. While other groups have utilized some
aspects of CATI technology (Breitner et al., 1995;
Plassman et al., 2000), we speci®cally examined
if cognitive screening could be conducted reliably
over the telephone by lay staff. Further, we
provide a preliminary evaluation of the psycho-
metric properties of the CATI administered
TICS.
METHODS
InstrumentThe TICS was originally comprised of 11 items witha maximum score of 41. The instrument wasmodeled after the MMSE and included itemsfrequently used in bedside mental status examina-tions (Brandt et al., 1988). It assesses a variety ofcognitive domains including orientation, compre-hension, attention, naming, working memory, verbalabstraction, and immediate verbal memory. Amodi®cation of the TICS, the TICSm, eliminateditems dif®cult to verify in a survey format and addeda delayed verbal recall measure to increase sensi-tivity to early dementia (Welsh, Breitner, &Magruder-Habib, 1993). This modi®ed scale has23 questions, scored as 12 items, for a total of 50points. The TICSm served as the basis for the presentstudy.
Pilot testing using non-CATI administration wasconducted with 80 volunteers to gain experiencewith administration issues. The initial step in admin-istering the TICSm in a CATI format was to develop acomprehensive set of guidelines for administrationand scoring. Using the scoring system provided for theTICSm (Welsh et al., 1993), we developed compre-hensive procedures for administration. After elabora-tion of the procedures, a computer program wasdeveloped which displays each question, and allow-able prompts, on the screen. When the interviewerenters an acceptable response, the next question isdisplayed. The program requires all responses, corrector incorrect, be entered. While immediate scoring iscompleted using the standard algorithm, the digitalstorage of all responses allows for the development ofalternative scoring procedures.
Interviewers were trained to provide a standardi-zation code after completion of the test. The fol-lowing criteria were used: (1) Test was administered
according to protocol; (2) Minor breaks in stand-ardization requiring slight alteration in protocol suchas repetition of an item (e.g., distracting noiseoccurred outside, doorbell rang but was answered bysomeone else). This is when the participant'sattention is interrupted but the testing sessioncontinues. A code of 2 was also used for examiners'errors such as misstating a word; (3) Major breaks inprotocol where testing had to be interrupted for aperiod of time (e.g., participant answered thedoorbell or another phone call), indicating thetesting session is interrupted but the test iscompleted after the interruption; (4) Test began butcould not be completed due to an interruption. Asecond testing session was scheduled to administerthe entire test.
After completion of the test, the examiner alsoanswered the questions: `̀ Did the respondent appearto have any dif®culty hearing the questions?'' and`̀ Did the respondent appear to have any dif®cultyunderstanding the questions?'' with one of thefollowing codes: (1) Yes, great dif®culty; (2) Yes,some dif®culty; (3) Yes, a little dif®culty; (4) No,none at all. The participant's attitude during testingwas rated as (1) enthusiastic, (2) interested, (3)indifferent, (4) somewhat reluctant, or (5) veryreluctant. Reluctance included poor motivation aswell as such undesirable test taking behaviors ashostility, impulsivity and irritability. Examinerswere encouraged to provide narrative descriptionsof any unusual occurrences during testing, includingany indications that the participant received help orused any means other than pure cognitive strategiesto answer the questions, for example, using a paperand pencil. All narrative responses were reviewed.Dichotomous variables were created re¯ecting thepresence or absence of the following: receiving helpor cheating; language dif®culty; or a bad telephoneconnection.
IndividualsAll enrollees were participants in The Women'sMemory Study conducted by the Southern CaliforniaPermanente Medical Group and the University ofSouthern California. This study examines theassociation between the use of hormone replacementtherapy (HRT) and dementia status and cognitivefunctioning. The original sample of 6,918 women,all 75 years of age or older on July 31, 1998 andmembers of Kaiser Permanente for at least 7 years,were randomly selected from Kaiser Permanente'sdatabase based on whether they had used HRTduring the past 7 years. Of these women, 277 weredeceased prior to the time they could be contacted,99 were unable to speak English, and 243 weretoo debilitated to complete a phone interview. Five
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hundred twenty-four women were not reached due toincorrect phone numbers or because no one wascontacted after 10 attempts. An additional 2,094declined to participate. The sample for this studywas 3,681.
The average age of participants was 78.8 (SD�3.3) years. Self-reported education showed 489(13.3%) did not ®nish high school, 1,012 (27.6%)were high school graduates, 1,350 (36.7%) hadcompleted some college or trade school, and 822(22.4%) had completed at least a baccalaureatedegree. Eight women refused to provide thisinformation.
ProceduresProcedures were reviewed and approved by theInstitutional Review Boards at the Southern Cali-fornia Permanente Medical Group and the Univer-sity of Southern California. All women in theoriginal sample were sent a package that includeda letter informing them of the Women's MemoryStudy, an informational brochure and a postcard theycould return if they did not wish to participate. Ifthey did not return the postcard they received aphone call and were asked to complete a telephoneinterview. The interview included information ontheir medical, reproductive and lifestyle history. The®nal section was the TICSm.
Telephone marketing personnel, with no previousexperience in cognitive evaluation, conducted allinterviews. The interviewers received 8 hr of trainingfor the purpose of the study, the administration ofstructured interviews and standardized tests, andhow to interact effectively with elderly individuals.All interviewers were observed conducting mockinterviews prior to working with enrollees by agerontologist or a psychologist. All were randomlymonitored by the same professionals throughoutthe project. A marketing manager also monitoredinterviewers.
Data AnalysisThe preliminary psychometric properties of theCATI administered TICSm were evaluated byestimating reliability and considering limitedaspects of both construct and concurrent validity.This is part of an ongoing study of the TICSm withthe long-term goal to re®ne the TICSm as a brief testof cognition and as a screening test for dementia. Asadditional data becomes available we will exploretest-retest reliability, predictive validity in identify-ing demented individuals as well as individuals whobecome demented and construct validity as deter-mined by administration of other neuropsycholog-ical tests. The goal of this analysis was to determine
if the CATI administered version of the TICSmmeets the basic psychometric criteria needed towarrant further development and to provide a solidpsychometric underpinning for any future work.
Descriptive information for all items andresponse characteristics was generated. For eachitem we provide the average of each individual scoredivided by the maximum possible score. This indexallows for a relative comparison of item dif®culty.We also provide the correlation between each itemand the total TICSm score that has been correctedfor the item. This widely used discrimination indexindicates the variance an item shares with what allitems have in common (Nunnally & Bernstein, 1994,p. 305).
We used a modi®cation of split-half reliabilitydeveloped by Gorsuch (personal communication,2000). In this re®nement of traditional split-half reli-ability, we ranked items based on dif®culty and thenformed pairs of items of similar dif®culty. One itemfrom each pair was randomly assigned to each half toassure that the halves were of equal dif®culty. Aftercalculating the split-half reliability coef®cient, theSpearman±Brown formula was used to estimate thefull-length reliability from the split-half (Nunnally &Bernstein, 1994, p. 234). We also provide the widelyused coef®cient alpha.
Factor analysis was conducted to evaluate anaspect of construct validity. This is based on theassumption that cognition does operate in a unitarymanner but is comprised of distinct domains.Principal component factors were extracted, usingthe roots greater than one criterion to determine thenumber of factors. Factors were then orthogonallyrotated with the Varimax procedure. Factor loadingsof .4 and above were considered relevant in inter-preting the factor. Although it is recommended thatloadings be considered relevant if they are two timesthe value required for a correlation coef®cient to besigni®cant with the given sample size (Gorsuch,1983, p. 209), we chose a much higher level as aconservative approach given our large sample. Thefactor structure was interpreted based on theoreticalformulations of the cognitive domains underlyingthe items that loaded on each factor. As a measure ofconcurrent validity, total scores and factor scoreswere associated with age and education. Both areknown to have associations, to varying degrees, withmost cognitive domains, and valid measures ofglobal cognitive functioning can be expected tocorrelate with both.
We also planned two post hoc analyses to explorethe association between information unique to theCATI administered TICSm and cognitive perfor-mance. First we evaluated how requests for repeti-tion were associated with performance by creating a
170 J. GALEN BUCKWALTER ET AL.
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variable re¯ecting the total number of such requests.This variable was then correlated with the TICSmscore. We also explored the ef®cacy of using theTICSm to identify primacy (enhanced learning andrecall for material presented initially) and recencyeffects (enhanced learning and recall for materialpresented last) on the immediate and delayed wordlist by developing descriptive statistics for all wordsbased on order of presentation.
RESULTS
Descriptive InformationAnalysis of the narrative responses found that there
were language dif®culties noted for 2% of inter-
views, and poor telephone connections for 0.3%
of interviews. It was suspected that participants
received help or cheated in 0.7% of interviews.
The TICSm was administered according to
protocol with 3,506 participants (95.2%). Table 1
shows the performance on the test and the
percentages of participants with hearing and
understanding dif®culties and their attitudes about
testing. We report 95% con®dence intervals (CI)
for each mean.
The overall mean for the TICSm was 29.4
(SD�6.2: range 4±48). Mean item scores are
provided in Table 2. The most dif®cult items, as
identi®ed by the index of dif®culty, were Word
List Delayed Recall, Word List Immediate Recall
Table 1. Response Characteristics and TICSmPerformance.
Adherence to Protocol.
Group n (%) TICSm (95% CI)M
Protocol followed 3506 (95.2) 29.5 (29.3±29.7)Minor break 159 (4.3)Major break 15 (0.4) 27.6 (26.6±28.6)*Discontinued 1 (0.0)
HearingNo dif®culty 2699 (73.3) 30.2 (30.0±30.4)Little dif®culty 631 (17.1) 28.1 (27.6±28.6)Some dif®culty 56 (7.0) 26.1 (25.3±26.9)Great dif®culty 92 (2.6) 23.2 (21.8±24.6)
UnderstandingNo dif®culty 2843 (77.2) 30.7 (30.5±30.9)Little dif®culty 578 (15.7) 26.7 (26.2±27.1)Some dif®culty 91 (5.2) 22.1 (21.3±22.9)Great dif®culty 69 (1.9) 18.6 (17.0±20.3)
AttitudeEnthusiastic 2522 (68.5) 30.0 (29.8±30.2)Interested 098 (29.8) 28.2 (27.8±28.6)Indifferent 26 (0.7)Somewhat 34 (0.9) 25.6 (23.8±27.4)^
reluctantVery reluctant 0 (0.0)
Note. *Mean and CI for minor break, major break anddiscontinued combined.^ Mean and CI for indifferent and somewhat reluctantcombined.
Table 2. Descriptive Information.Telephone Interview of Cognitive Status.
Item Possible % Requesting M (SD) Dif®culty Item-Totalpoints repeat* index? correlation
Full name 2 1.3 1.99 (.06) 1.0 .02Date (5 items) 5 3.9 3.29 (.95) .66 .36Age and phone number 2 1.4 1.90 (.32) .95 .19Count backward from 20 to 1 2 2.3 1.80 (.49) .90 .2110 word immediate recall 10 9.9 3.89 (1.91) .39 .61Serial 7 subtractions 5 15.3 2.08 (1.81) .42 .37Naming (4 items) 4 25.8 3.73 (.56) .93 .30Repetition (2 items) 2 13.7 1.48 (.69) .74 .27President and Vice President 4 1.7 3.02 (1.12) .76 .35Tap the phone 5 times 2 9.2 1.89 (.37) .95 .20Identify opposites (2 items) 2 19.0 1.78 (.47) .89 .3410 word delayed recall 10 5.1 2.52 (2.04) .25 .58
Note. *% includes any request for one or more questions in a multiple part item.?Obtained score/possible score.
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and Serial 7's subtraction. The probability was
less than .5 for all three items. The next most
dif®cult items were Date, Repetition, President/
Vice President, and Opposites. Five items were
answered correctly by at least 90% of partic-
ipants: Count Backward, Age/Phone, Naming,
Tapping, and Full Name.
The item for which requests for repetition were
made most frequently was Naming, with Word
Opposites, Serial 7's and Repetition all requested
to be repeated by over 10% of participants.
When considering Item-Total correlations,
Immediate Recall and Delayed Recall of the
word list had coef®cients above .55. Full Name,
Age/Phone, Count Backward, Repetition and
Tapping had correlations below .3. Note that
these items also tended to be of least dif®culty and
had the smallest standard deviations.
Psychometric Properties of the CATIAdministered TICSmSplit-half reliability was .82, which when cor-
rected to estimate full-length reliability with the
Spearman±Brown formula was .90. Coef®cient
alpha was .70.
Three factors met the criterion for extraction
and accounted for 42% of the total variance. Items
that loaded on Factor 1 were Naming, Repetition,
Tapping and Opposites. Factor 2 was comprised
of Immediate and Delayed Recall and Factor 3 of
Date, Age/Phone, Serial 7's, and President/Vice
President with Full Name loading negatively. The
factors were labeled: (1) Language Processing
and Output; (2) Memory; and (3) Orientation and
Concentration (see Table 3 for all factor scores).
The TICSm was correlated with age at ÿ.18
and with education at .33. Given the limited range
of age and education, we provide means for age
and education groups in Table 4. Both show a
clear `dose response' association with the TICSm,
and with factor scores in expected directions.
Post Hoc AnalysesThere was a negative association between the
total number of requests for questions to be
Table 3. Construct Validity.Factor Loadings for the TICSm.
Item Language Memory Orientation/Processing Concentration
Name ± ± ÿ.40Date ± ± .56Age/Phone ± ± .49Count ± ± ±
BackwardImmediate ± 93 ±
RecallSerial 7's ± .50Naming .55 ± ±Repetition .57 ± ±President/ ± ± .59
Vice PresidentTapping .60 ± ±Opposites .53 ± ±Delayed ± .93 ±
RecallPercent of 13% 16% 13%
variance
Table 4. Concurrent Validity.Associations of TICSm Total Score and Factor Scores with Age and Education.
n TICSm Language Memory OrientationM (SD) Processing M (SD) and Concentration
M (SD) M (SD)
Age75±79 2475 30.0 (6.0) .02 (.96) .09 (.99) .04 (.98)80±84 952 28.6 (6.4) ÿ.03 (1.05) ÿ.12 (1.00) ÿ.03 (1.0)85� 254 26.3 (6.4) ÿ.11 (1.19) ÿ.45 (.86) ÿ.27 (1.16)
Education<HS Degree 489 24.6 (6.1) ÿ.51 (1.37) ÿ.42 (.83) ÿ.49 (1.13)HS graduate 1012 28.6 (5.8) ÿ.01 (.97) ÿ.10 (.96) ÿ.06 (.94)Some college 1350 30.5 (5.7) .11 (.87) .13 (1.03) .08 (.94)College graduate 822 31.4 (7.2) .14 (.87) .16 (1.09) .24 (.90)
172 J. GALEN BUCKWALTER ET AL.
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repeated and the TICSm (r�ÿ.30), that is more
requests to have items repeated were associated
with worse TICS performance.
Table 5 provides a description of response
characteristics to word list items. For the immediate
recall trial, the words recalled with the highest
frequency were numbers one, three, and nine
while on the delayed trial those recalled most
often were those presented in the ®rst, third, and
®fth position.
DISCUSSION
This study suggests that cognition can be assessed
reliably over the telephone using a computer-
assisted test administered by non-psychometrists.
Although there are encouraging aspects of both
the instrument's reliability and validity, this is a
work in progress and further work needs to be
done before it can be accepted as a psychome-
trically sound test of cognition or a screening
instrument.
The reliability of the instrument appears to be
good as measured by internal consistency proce-
dures. An argument can be made that the modi®ed
split-half procedure developed by Gorsuch is a
more accurate estimate of reliability than coef®-
cient alpha. Coef®cient alpha underestimates
reliability in all situations unless items are
selected based solely on item correlations. As
such, Cronbach's �, although widely used, is a
lower bound to reliability and not a reliability
coef®cient (Lord, 1980, p. 8). While under-
estimation is widely accepted as a conservative,
thus preferable stance, it is not preferable to ac-
curacy. However, either procedure only assesses
a limited aspect of reliability; internal consistency
and test-retest reliability will ultimately be
needed to assure reliability. Inter-examiner relia-
bility also remains to be evaluated.
The factor structure of the TICSm was
generally conceptually appealing, although the
negative loading of Full Name on Orientation and
Concentration highlights a compelling problem
with this item, notably its ease (99.7% of
participants received 2 points). The factors
identi®ed in our analysis do not replicate previous
factor solutions. The only factor clearly replicated
from a previous factor study, which used 19 item
scoring rather than the standard 12 items, is the
memory factor (Brandt et al., 1993). A further
concern with our factor solution is the relatively
small proportion of variance for which it accounts.
When the majority of the matrix variance is not
accounted for by factors that meet criteria for
extraction, a poor ®t is suggested that questions the
validity of the TICSm. This contention is further
supported by the fact that when a common factor
solution was employed (using multiple R2's as
estimates of communalities), only a single factor
emerged with an eigenvalue above .7 (unreported
data). Thus, the ability of the TICSm to assess
distinct cognitive domains is questionable. This
may indicate that distinct cognitive domains can
only be validly measured with comprehensive
neuropsychological batteries.
There is modest support for concurrent validity,
with clear associations found with age and edu-
cation. Both age and education are unequivocally
Table 5. Word List Characteristics.
Word Learning trial % Perseveration(s) Recall trial % Perseveration (s)% correct % correct
Cabin 64.7 1.8 51.8 0.5Pipe 31.7 0.7 21.6 0.5Elephant 58.3 1.0 47.6 0.8Chest 26.7 0.8 21.2 0.4Silk 29.7 0.8 24.7 0.3Theater 26.7 0.5 19.2 0.4Watch 28.4 0.8 18.9 0.2Whip 26.6 0.5 13.2 0.2Pillow 51.2 1.4 23.2 0.2Giant 45.4 1.0 10.2 0.8
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associated with screening tests of global cognitive
performance (see Tombaugh & McIntyre, 1992, for
a review of such associations with the MMSE) and
failure to ®nd such associations would question the
validity of the TICSm. The associations between
interruptions, ratings of hearing, understanding and
attitude may also be indicative of validity. However,
it is possible that the interviewers' ratings were
in¯uenced by poor performance.
Considering all currently available data, sup-
port for the validity of the TICSm is tentative.
Based on results of the factor analysis, it is
unclear if the TICSm can assess cognition in
predictable domains. This may be an inevitable
consequence of brie¯y testing cognitive function,
however the utility of validly measuring multiple
domains in the study of cognitive aging/dementia
is apparent. The TICSm does appear to be asso-
ciated with variables such as age and education in
predictable patterns. Given our current evidence
of good reliability as demonstrated by internal
consistency, further work assessing both relia-
bility and validity is warranted and will include
comparisons with established neuropsychological
tests and its ability to identify individuals with
con®rmed dementia.
While the correlation with education supports
the validity of the TICSm, it also highlights a key
methodological issue in the development of screen-
ing tests. Education has been consistently found to
correlate with scores on the MMSE (Crum,
Anthony, Bassett, & Folstein, 1993; Katzman
et al., 1988). Therefore, adjustment for education
is needed in effective screening tests. Norms
speci®c for education groups, and other relevant
demographic variables such as age and ethnicity,
remain to be developed for the CATI TICSm.
The item-total analyses of the CATI TICSm
suggests it may be possible to reduce the number
of items while maintaining, or improving, the
psychometric properties of the instrument. Item-
total correlations below .3 are not considered to
add substantially to the discrimination ability of a
scale (Nunnally & Bernstein, 1994, p. 305). Thus,
it may be possible to drop Full Name, Age/Phone,
Count Backward, Repetition and Tapping from
the instrument. However, given that item deletion
may alter the psychometric properties of other
items, this will need to be tested with participants.
We suggest that consideration should also be
given to scoring additional information that is
readily available utilizing the CATI administra-
tion, for example, primacy and recency on the
immediate and delayed word lists. Demented and
non-demented individuals may differ in their
ability to bene®t from the serial order of
presentation (Burkart, Heun, & Benkert, 1998).
Table 5 suggests that participants in this study
bene®ted from the primacy effect on both the
immediate and delayed recall while the recency
effect was apparent on the immediate trial only.
The current factor structure of the TICSm
contains a single factor that includes immediate
and delayed memory, as does the factor solution
provided by Brandt et al. (1993). An instrument
that separated learning from delayed recall would
have greater utility in the assessment of incipient
dementia, given the importance of identifying
de®cits in delayed memory for the diagnosis of
dementia (APA, 1994). Given different effects of
recency in the immediate and delayed trials,
inclusion of this level of information in the
scoring system may allow for the identi®cation of
more discrete cognitive constructs.
Our ®ndings regarding interruptions, ratings of
hearing, understanding and attitude all support the
use of CATI technology and lay examiners. These
variables related to cognitive performance in ex-
pected patterns. Given effects on performance of
interruptions and hearing dif®culty, which likely
do not re¯ect cognitive de®cits, objective criteria
for identifying situations and individuals where
the TICSm is not appropriate is needed.
Associations between requests for repetition
and performance are also revealing. Either
hearing dif®culties or comprehension dif®culties
could explain the relatively strong association
between the number of requests for repetition and
the TICSm score. We found that the number of
requests for repetition was similar based on
ratings of hearing and understanding problems
(data not shown). Distinguishing between hearing
and comprehension problems is an unresolved
issue in the use of the TICSm.
This study supports the incorporation of
computer technology into the administration
and scoring of telephone screens of cognition.
Nonprofessional staff can collect internally
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consistent data using this technique. This has
notable implications for the inclusion of cognitive
testing in large-scale epidemiological studies. The
validity of the existing test is not yet suf®cient nor
is our current assessment of validity. The TICS
needs to be used in conjunction with established
tests to further evaluate its construct validity.
Further re®nements following standard psycho-
metric procedures for test development may
enhance construct validity. There is information
collected from CATI administration of the TICSm
that may allow for the evaluation of a broader
range of relevant cognitive domains. Exploration
of these options for the CATI TICSm is ongoing,
as is evaluation of the instrument's ability to
detect change over time and its predictive values
as a screen for dementia.
ACKNOWLEDGMENTS
This study greatly bene®ted from the contribu-
tions of Sean B. Robins and Rohina Furmuly.
Jason Kerns and all the staff involved in this
project from Davis Research, also provided
invaluable support.
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