Modeling between-subject and within-subject variances in ecological momentary assessment data using mixed-effects location scale models

Ecological momentary assessment and/or experience sampling methods are increasingly used in health studies to study subjective experiences within changing environmental contexts. In these studies, up to 30 or 40 observations are often obtained for each subject. Because there are so many measurements...

Full description

Saved in:

Bibliographic Details
Published in:	Statistics in medicine Vol. 31; no. 27; pp. 3328 - 3336
Main Authors:	Hedeker, Donald, Mermelstein, Robin J., Demirtas, Hakan
Format:	Journal Article
Language:	English
Published:	Chichester, UK John Wiley & Sons, Ltd 30.11.2012 Wiley Subscription Services, Inc
Subjects:	Adolescent Affect Data Collection - methods Ecology - methods heterogeneity Humans Measurement Models, Statistical mood variation Sampling techniques Smoking Smoking - psychology Teenagers variance modeling
ISSN:	0277-6715, 1097-0258, 1097-0258
Online Access:	Get full text
Tags:	Add Tag No Tags, Be the first to tag this record!

Abstract	Ecological momentary assessment and/or experience sampling methods are increasingly used in health studies to study subjective experiences within changing environmental contexts. In these studies, up to 30 or 40 observations are often obtained for each subject. Because there are so many measurements per subject, one can characterize a subject's mean and variance and can specify models for both. In this article, we focus on an adolescent smoking study using ecological momentary assessment where interest is on characterizing changes in mood variation. We describe how covariates can influence the mood variances and also extend the statistical model by adding a subject‐level random effect to the within‐subject variance specification. This permits subjects to have influence on the mean, or location, and variability, or (square of the) scale, of their mood responses. These mixed‐effects location scale models have useful applications in many research areas where interest centers on the joint modeling of the mean and variance structure. Copyright © 2012 John Wiley & Sons, Ltd.
AbstractList	Ecological momentary assessment and/or experience sampling methods are increasingly used in health studies to study subjective experiences within changing environmental contexts. In these studies, up to 30 or 40 observations are often obtained for each subject. Because there are so many measurements per subject, one can characterize a subject's mean and variance and can specify models for both. In this article, we focus on an adolescent smoking study using ecological momentary assessment where interest is on characterizing changes in mood variation. We describe how covariates can influence the mood variances and also extend the statistical model by adding a subject‐level random effect to the within‐subject variance specification. This permits subjects to have influence on the mean, or location, and variability, or (square of the) scale, of their mood responses. These mixed‐effects location scale models have useful applications in many research areas where interest centers on the joint modeling of the mean and variance structure. Copyright © 2012 John Wiley & Sons, Ltd. Ecological momentary assessment and/or experience sampling methods are increasingly used in health studies to study subjective experiences within changing environmental contexts. In these studies, up to 30 or 40 observations are often obtained for each subject. Because there are so many measurements per subject, one can characterize a subject's mean and variance and can specify models for both. In this article, we focus on an adolescent smoking study using ecological momentary assessment where interest is on characterizing changes in mood variation. We describe how covariates can influence the mood variances and also extend the statistical model by adding a subject-level random effect to the within-subject variance specification. This permits subjects to have influence on the mean, or location, and variability, or (square of the) scale, of their mood responses. These mixed-effects location scale models have useful applications in many research areas where interest centers on the joint modeling of the mean and variance structure. [PUBLICATION ABSTRACT] Ecological momentary assessment and/or experience sampling methods are increasingly used in health studies to study subjective experiences within changing environmental contexts. In these studies, up to 30 or 40 observations are often obtained for each subject. Because there are so many measurements per subject, one can characterize a subject's mean and variance and can specify models for both. In this article, we focus on an adolescent smoking study using ecological momentary assessment where interest is on characterizing changes in mood variation. We describe how covariates can influence the mood variances and also extend the statistical model by adding a subject-level random effect to the within-subject variance specification. This permits subjects to have influence on the mean, or location, and variability, or (square of the) scale, of their mood responses. These mixed-effects location scale models have useful applications in many research areas where interest centers on the joint modeling of the mean and variance structure. Ecological momentary assessment and/or experience sampling methods are increasingly used in health studies to study subjective experiences within changing environmental contexts. In these studies, up to 30 or 40 observations are often obtained for each subject. Because there are so many measurements per subject, one can characterize a subject's mean and variance and can specify models for both. In this article, we focus on an adolescent smoking study using ecological momentary assessment where interest is on characterizing changes in mood variation. We describe how covariates can influence the mood variances and also extend the statistical model by adding a subject-level random effect to the within-subject variance specification. This permits subjects to have influence on the mean, or location, and variability, or (square of the) scale, of their mood responses. These mixed-effects location scale models have useful applications in many research areas where interest centers on the joint modeling of the mean and variance structure.Ecological momentary assessment and/or experience sampling methods are increasingly used in health studies to study subjective experiences within changing environmental contexts. In these studies, up to 30 or 40 observations are often obtained for each subject. Because there are so many measurements per subject, one can characterize a subject's mean and variance and can specify models for both. In this article, we focus on an adolescent smoking study using ecological momentary assessment where interest is on characterizing changes in mood variation. We describe how covariates can influence the mood variances and also extend the statistical model by adding a subject-level random effect to the within-subject variance specification. This permits subjects to have influence on the mean, or location, and variability, or (square of the) scale, of their mood responses. These mixed-effects location scale models have useful applications in many research areas where interest centers on the joint modeling of the mean and variance structure.
Author	Hedeker, Donald Mermelstein, Robin J. Demirtas, Hakan
Author_xml	– sequence: 1 givenname: Donald surname: Hedeker fullname: Hedeker, Donald email: hedeker@uic.edu, Donald Hedeker, Division of Epidemiology & Biostatistics, School of Public Health, University of Illinois at Chicago, Chicago, IL 60612, U.S.A., hedeker@uic.edu organization: Division of Epidemiology and Biostatistics, School of Public Health, University of Illinois at Chicago, Chicago, IL, U.S.A – sequence: 2 givenname: Robin J. surname: Mermelstein fullname: Mermelstein, Robin J. organization: Institute for Health Research and Policy, University of Illinois at Chicago, Chicago, IL, U.S.A – sequence: 3 givenname: Hakan surname: Demirtas fullname: Demirtas, Hakan organization: Division of Epidemiology and Biostatistics, School of Public Health, University of Illinois at Chicago, IL, Chicago, U.S.A
BackLink	https://www.ncbi.nlm.nih.gov/pubmed/22419604$$D View this record in MEDLINE/PubMed
BookMark	eNp1kUtv1DAUhS1URKcFiV-ALLFhk8GPJE6WUEGp1AGJh7q0HPumeEjsNtdh2l_A38bT6UMgWPmh7xwfn3tA9kIMQMhzzpacMfEa_bispGwekQVnrSqYqJo9smBCqaJWvNonB4hrxjivhHpC9oUoeVuzckF-raKDwYdz2kHaAIQC524NNlETHN349N0_XP00kzfBAlIfKNg4xHNvzUDHOEJIZrqmBhEQtyfqTDJ0xq316K_AFdD32QTpEK1JPgaKWQtZnAPgU_K4NwPCs9v1kHx7_-7r0Yfi9NPxydGb08JWgjUFyIqXjXR9bYTN32llaW0tOsFskzedcrxq2wac6XpnnOh7Y2Rl88NgOqVAHpJXO9-LKV7OgEmPHi0MgwkQZ9S5Ic5kw2WZ0Zd_oes4TyGnu6Fk1QgpMvXilpq7EZy-mPyYm9B3FWdguQPsFBEn6LX16aaANBk_aM70doY6z1BvZ_gQ8V5w5_kPtNihGz_A9X85_eVk9SfvMcHVPW-mH7pWUlX67OOx5mr1Vqizz5rL31xlvKw
CODEN	SMEDDA
CitedBy_id	crossref_primary_10_1007_s42081_023_00207_0 crossref_primary_10_1016_j_jpain_2022_01_001 crossref_primary_10_1016_j_jval_2014_10_003 crossref_primary_10_1057_s41270_024_00347_6 crossref_primary_10_1080_13546805_2025_2482539 crossref_primary_10_1177_0305735615578708 crossref_primary_10_1111_rssa_12191 crossref_primary_10_1007_s13142_017_0472_6 crossref_primary_10_1249_MSS_0000000000003115 crossref_primary_10_1007_s10508_013_0215_9 crossref_primary_10_1007_s10567_015_0194_6 crossref_primary_10_1002_eat_23862 crossref_primary_10_1002_pon_5627 crossref_primary_10_1016_j_addbeh_2018_08_032 crossref_primary_10_1016_j_eatbeh_2021_101492 crossref_primary_10_2196_67822 crossref_primary_10_1002_oby_23867 crossref_primary_10_1080_00273171_2023_2174490 crossref_primary_10_1016_j_addbeh_2017_09_004 crossref_primary_10_2196_47151 crossref_primary_10_1002_jrsm_1562 crossref_primary_10_1097_j_pain_0000000000001102 crossref_primary_10_1002_sim_9679 crossref_primary_10_1007_s40615_023_01537_1 crossref_primary_10_1007_s10519_019_09953_y crossref_primary_10_1177_13591053241235751 crossref_primary_10_1016_j_copsyc_2015_03_024 crossref_primary_10_1007_s11336_022_09864_8 crossref_primary_10_1007_s11336_022_09847_9 crossref_primary_10_1093_ntr_ntt143 crossref_primary_10_3758_s13428_019_01255_9 crossref_primary_10_1002_ajhb_23061 crossref_primary_10_1249_MSS_0000000000002280 crossref_primary_10_1027_1015_5759_a000624 crossref_primary_10_1371_journal_pone_0132192 crossref_primary_10_1016_j_psychsport_2021_102010 crossref_primary_10_3390_ijerph20054210 crossref_primary_10_3390_jintelligence11010003 crossref_primary_10_1002_sim_9328 crossref_primary_10_1177_00811750241283743 crossref_primary_10_1002_sim_9280 crossref_primary_10_1002_wps_20513 crossref_primary_10_1002_jts_22739 crossref_primary_10_1002_sim_10281 crossref_primary_10_1002_sim_8074 crossref_primary_10_1080_00273171_2017_1333404 crossref_primary_10_1080_00273171_2018_1532280 crossref_primary_10_2196_40736 crossref_primary_10_1080_03014460_2016_1243727 crossref_primary_10_2196_21959 crossref_primary_10_1044_2017_AJA_16_0126 crossref_primary_10_3389_fpsyg_2023_1264881 crossref_primary_10_1080_10705511_2022_2065279 crossref_primary_10_1155_2024_3672159 crossref_primary_10_1177_0003122419884497 crossref_primary_10_1007_s00520_022_07071_w crossref_primary_10_3389_fpsyg_2021_580684 crossref_primary_10_1002_sim_10292 crossref_primary_10_1093_biomtc_ujae115 crossref_primary_10_3758_s13428_022_01995_1 crossref_primary_10_1111_bmsp_12196 crossref_primary_10_1136_bmjopen_2016_011717 crossref_primary_10_1007_s11135_014_0060_5 crossref_primary_10_3102_10769986231210808 crossref_primary_10_1016_j_jocrd_2024_100899 crossref_primary_10_1016_j_heares_2018_06_012 crossref_primary_10_1093_abm_kay053 crossref_primary_10_1097_AUD_0000000000000934 crossref_primary_10_1007_s10519_022_10099_7 crossref_primary_10_1080_00273171_2016_1159177 crossref_primary_10_1002_sim_8429 crossref_primary_10_1007_s11222_020_09992_0 crossref_primary_10_3390_ijerph21081030 crossref_primary_10_1080_00273171_2021_1941728 crossref_primary_10_7717_peerj_15145 crossref_primary_10_3758_s13428_021_01646_x crossref_primary_10_1111_bmsp_12180 crossref_primary_10_1136_bmjopen_2016_014938 crossref_primary_10_1111_1745_9125_12396 crossref_primary_10_1016_j_appet_2020_104667 crossref_primary_10_1016_j_drugalcdep_2016_12_012 crossref_primary_10_1111_bdi_12218 crossref_primary_10_1371_journal_pone_0172013 crossref_primary_10_1111_bmsp_12299 crossref_primary_10_1080_00273171_2018_1449628 crossref_primary_10_1111_add_70094 crossref_primary_10_1016_j_ntt_2025_107433 crossref_primary_10_1038_npp_2017_216 crossref_primary_10_1080_08870446_2021_1929982 crossref_primary_10_1016_j_csda_2025_108199 crossref_primary_10_1093_ntr_ntac001 crossref_primary_10_1002_sim_7627 crossref_primary_10_1111_peps_12260 crossref_primary_10_3389_fpsyg_2016_01043 crossref_primary_10_1177_1090198116663132 crossref_primary_10_1097_NNR_0000000000000810 crossref_primary_10_1016_j_jaip_2020_09_064 crossref_primary_10_1097_PR9_0000000000001172 crossref_primary_10_1007_s00180_022_01272_x crossref_primary_10_1016_j_jcf_2024_05_013 crossref_primary_10_1155_2019_2432131 crossref_primary_10_51387_24_NEJSDS69 crossref_primary_10_1123_jsep_2019_0035 crossref_primary_10_1016_j_apmr_2025_04_012 crossref_primary_10_1111_1475_6773_14189 crossref_primary_10_1016_j_jad_2019_08_060 crossref_primary_10_1177_0890117116666947 crossref_primary_10_1016_j_brat_2017_02_003 crossref_primary_10_1016_j_brat_2018_10_005 crossref_primary_10_2147_COPD_S447660 crossref_primary_10_1080_03014460_2019_1568549 crossref_primary_10_1177_2331216518783608 crossref_primary_10_2196_47320 crossref_primary_10_1027_1614_2241_a000150 crossref_primary_10_1002_sim_8560 crossref_primary_10_1080_00220973_2025_2549871 crossref_primary_10_1007_s40429_015_0039_x
Cites_doi	10.1016/S0378-4371(02)02023-X 10.1002/sim.3153 10.1001/archgenpsychiatry.2008.509 10.1111/j.1360-0443.2004.00734.x 10.1023/A:1023605205115 10.1080/01650250050118277 10.1109/8.761069 10.1002/erv.469 10.1111/j.0022-3506.2005.00364.x 10.1016/j.drugalcdep.2006.07.006 10.1037/0033-2909.129.2.270 10.1037/a0012532 10.1111/j.1558-5646.1999.tb04528.x 10.3109/10673229709030550 10.1146/annurev.psych.54.101601.145030 10.1177/089443930101900204 10.1890/0012-9615(1998)068[0445:SVEODD]2.0.CO;2 10.1016/j.chiabu.2004.01.005 10.1037/0022-3514.76.5.820 10.1017/CBO9780511663246 10.4310/SII.2009.v2.n4.a1 10.2307/2347792 10.1093/oso/9780195178715.003.0005 10.1080/00401706.1975.10489277 10.1080/14622200802163118 10.2307/2533433 10.1002/eat.20359 10.1093/abm/16.3.199 10.2307/1913974 10.1002/(SICI)1098-240X(199812)21:6<487::AID-NUR3>3.0.CO;2-G 10.1037/0882-7974.18.4.639 10.1017/CBO9780511544293.016 10.1007/s00213-005-0294-y 10.1111/j.1541-0420.2007.00924.x 10.1093/acprof:oso/9780195173444.001.0001 10.2307/2344953 10.1016/j.jpsychires.2005.09.007 10.1093/oso/9780195178715.003.0006 10.1023/A:1023657221954 10.1037/0033-2909.98.2.219 10.1089/104454603322572589 10.1002/0470846437.ch15 10.1093/schbul/sbm113 10.1186/1751-0759-2-13
ContentType	Journal Article
Copyright	Copyright © 2012 John Wiley & Sons, Ltd. Copyright John Wiley and Sons, Limited Nov 30, 2012
Copyright_xml	– notice: Copyright © 2012 John Wiley & Sons, Ltd. – notice: Copyright John Wiley and Sons, Limited Nov 30, 2012
DBID	BSCLL AAYXX CITATION CGR CUY CVF ECM EIF NPM K9. 7X8
DOI	10.1002/sim.5338
DatabaseName	Istex CrossRef Medline MEDLINE MEDLINE (Ovid) MEDLINE MEDLINE PubMed ProQuest Health & Medical Complete (Alumni) MEDLINE - Academic
DatabaseTitle	CrossRef MEDLINE Medline Complete MEDLINE with Full Text PubMed MEDLINE (Ovid) ProQuest Health & Medical Complete (Alumni) MEDLINE - Academic
DatabaseTitleList	CrossRef ProQuest Health & Medical Complete (Alumni) MEDLINE MEDLINE - Academic
Database_xml	– sequence: 1 dbid: NPM name: PubMed url: http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?db=PubMed sourceTypes: Index Database – sequence: 2 dbid: 7X8 name: MEDLINE - Academic url: https://search.proquest.com/medline sourceTypes: Aggregation Database
DeliveryMethod	fulltext_linktorsrc
Discipline	Medicine Statistics Public Health
EISSN	1097-0258
EndPage	3336
ExternalDocumentID	2814128691 22419604 10_1002_sim_5338 SIM5338 ark_67375_WNG_17MB27WR_1
Genre	article Journal Article Research Support, N.I.H., Extramural Feature
GrantInformation_xml	– fundername: National Cancer Institute funderid: P01CA098262; R21CA140696 – fundername: NCI NIH HHS grantid: P01 CA098262 – fundername: NCI NIH HHS grantid: R21 CA140696 – fundername: NCI NIH HHS grantid: P01CA098262 – fundername: NCI NIH HHS grantid: R21CA140696
GroupedDBID	--- .3N .GA .Y3 05W 0R~ 10A 123 1L6 1OB 1OC 1ZS 33P 3SF 3WU 4.4 4ZD 50Y 50Z 51W 51X 52M 52N 52O 52P 52S 52T 52U 52W 52X 53G 5RE 5VS 66C 6PF 702 7PT 8-0 8-1 8-3 8-4 8-5 8UM 930 A03 AAESR AAEVG AAHQN AAMMB AAMNL AANHP AANLZ AAONW AASGY AAWTL AAXRX AAYCA AAZKR ABCQN ABCUV ABIJN ABJNI ABOCM ABPVW ACAHQ ACBWZ ACCZN ACGFS ACPOU ACRPL ACXBN ACXQS ACYXJ ADBBV ADEOM ADIZJ ADKYN ADMGS ADNMO ADOZA ADXAS ADZMN AEFGJ AEIGN AEIMD AENEX AEUYR AEYWJ AFBPY AFFPM AFGKR AFWVQ AFZJQ AGQPQ AGXDD AGYGG AHBTC AHMBA AIDQK AIDYY AITYG AIURR AJXKR ALAGY ALMA_UNASSIGNED_HOLDINGS ALVPJ AMBMR AMVHM AMYDB ASPBG ATUGU AUFTA AVWKF AZBYB AZFZN AZVAB BAFTC BDRZF BFHJK BHBCM BMNLL BMXJE BNHUX BROTX BRXPI BSCLL BY8 CS3 D-E D-F DCZOG DPXWK DR2 DRFUL DRSTM DU5 EBD EBS EJD EMOBN F00 F01 F04 F5P FEDTE G-S G.N GNP GODZA H.T H.X HBH HF~ HGLYW HHY HHZ HVGLF HZ~ IX1 J0M JPC KQQ LATKE LAW LC2 LC3 LEEKS LH4 LITHE LOXES LP6 LP7 LUTES LW6 LYRES MEWTI MK4 MRFUL MRSTM MSFUL MSSTM MXFUL MXSTM N04 N05 N9A NF~ NNB O66 O9- OIG P2P P2W P2X P4D PALCI PQQKQ Q.N Q11 QB0 QRW R.K ROL RX1 RYL SUPJJ SV3 TN5 UB1 V2E W8V W99 WBKPD WH7 WIB WIH WIK WJL WOHZO WQJ WXSBR WYISQ XBAML XG1 XV2 ZZTAW ~IA ~WT AAHHS ACCFJ AEEZP AEQDE AEUQT AFPWT AIWBW AJBDE ALUQN RWI WRC WUP WWH AAYXX CITATION O8X CGR CUY CVF ECM EIF NPM K9. 7X8
ID	FETCH-LOGICAL-c5208-e351483df6a2c011934cc62b20c8cc6b7d15998edabfdad2ffaa35cfeceab77e3
IEDL.DBID	DRFUL
ISICitedReferencesCount	149
ISICitedReferencesURI	http://www.webofscience.com/api/gateway?GWVersion=2&SrcApp=Summon&SrcAuth=ProQuest&DestLinkType=CitingArticles&DestApp=WOS_CPL&KeyUT=000310885900011&url=https%3A%2F%2Fcvtisr.summon.serialssolutions.com%2F%23%21%2Fsearch%3Fho%3Df%26include.ft.matches%3Dt%26l%3Dnull%26q%3D
ISSN	0277-6715 1097-0258
IngestDate	Sun Nov 23 09:49:00 EST 2025 Mon Oct 06 18:34:46 EDT 2025 Mon Jul 21 06:03:41 EDT 2025 Tue Nov 18 21:19:48 EST 2025 Sat Nov 29 05:32:29 EST 2025 Wed Jan 22 16:20:30 EST 2025 Tue Nov 11 03:29:11 EST 2025
IsDoiOpenAccess	false
IsOpenAccess	true
IsPeerReviewed	true
IsScholarly	true
Issue	27
Language	English
License	http://onlinelibrary.wiley.com/termsAndConditions#vor Copyright © 2012 John Wiley & Sons, Ltd.
LinkModel	DirectLink
MergedId	FETCHMERGED-LOGICAL-c5208-e351483df6a2c011934cc62b20c8cc6b7d15998edabfdad2ffaa35cfeceab77e3
Notes	ArticleID:SIM5338 istex:9826E3FCBED5D9CD38A0CDC9B4AA021CAD390D6E ark:/67375/WNG-17MB27WR-1 National Cancer Institute - No. P01CA098262; No. R21CA140696 SourceType-Scholarly Journals-1 ObjectType-Feature-1 content type line 14 ObjectType-Article-1 ObjectType-Feature-2 content type line 23
OpenAccessLink	https://onlinelibrary.wiley.com/doi/pdfdirect/10.1002/sim.5338
PMID	22419604
PQID	1151358232
PQPubID	48361
PageCount	9
ParticipantIDs	proquest_miscellaneous_1151038134 proquest_journals_1151358232 pubmed_primary_22419604 crossref_citationtrail_10_1002_sim_5338 crossref_primary_10_1002_sim_5338 wiley_primary_10_1002_sim_5338_SIM5338 istex_primary_ark_67375_WNG_17MB27WR_1
PublicationCentury	2000
PublicationDate	30 November 2012
PublicationDateYYYYMMDD	2012-11-30
PublicationDate_xml	– month: 11 year: 2012 text: 30 November 2012 day: 30
PublicationDecade	2010
PublicationPlace	Chichester, UK
PublicationPlace_xml	– name: Chichester, UK – name: England – name: New York
PublicationTitle	Statistics in medicine
PublicationTitleAlternate	Statist. Med
PublicationYear	2012
Publisher	John Wiley & Sons, Ltd Wiley Subscription Services, Inc
Publisher_xml	– name: John Wiley & Sons, Ltd – name: Wiley Subscription Services, Inc
References	Harvey AC. Estimating regression models with multiplicative heteroscedasticity. Econometrica 1976; 44:461-465. Hedeker D, Gibbons RD. A random-effects ordinal regression model for multilevel analysis. Biometrics 1994; 50:933-944. Fowler K, Whitlock MC. The distribution of phenotypic variance with inbreeding. Evolution 1999; 53:1143-1156. Scollon CN, Kim-Prieto C, Diener E. Experience sampling: promises and pitfalls, strengths and weeknesses. Journal of Happiness Studies 2003; 4:5-34. Gwaltney CJ, Bartolomei R, Colby S, Kahler CW. Ecological momentary assessment of adolescent smoking cessation: a feasibility study. Nicotine & Tobacco Research 2008; 10:1185-1190. Leonard T. A Bayesian approach to the linear model with unequal variances. Technometrics 1975; 17:95-102. Shenk GC, White TM, Burnhamb KP. Sampling-variance effects on detecting density dependence from temporal trends in natural populations. Ecological Monographs 1998; 68:445Ű463. de Vries MW. The Experience of Psychopathology: Investigating Mental Disorders in Their Natural Settings. Cambridge University Press: New York, 1992. Renò R, Rizza R. Is volatility lognormal? Evidence from Italian futures. Physica A: Statistical Mechanics and its Applications 2003; 322:620-628. Nesselroade JR, Schmidt McCollam KM. Putting the process in developmental processes. International Journal of Behavioral Development 2000; 24:295-300. Khantzian EJ. The self-medication hypothesis of substance use disorders: a reconsideration and recent applications. Harvard Review of Psychiatry 1997; 4:231Ű244. Axelson DA, Bertocci MA, Lewin DS, Trubnick LS, Birmaher B, Williamson DE, Ryan ND, Dahl RE. Measuring mood and complex behavior in natural environments: use of ecological momentary assessment in pediatric affective disorders. Journal of Child and Adolescent Psychopharmacology 2003; 13:253-266. Liu L, Yu Z. A likelihood reformulation method in non-normal random effects models. Statistics in Medicine 2008; 27:3105-3124. O'Connell KA, Gerkovich MM, Cook MR, Shiffman S, Hickcox M, Kakolewski KE. Coping in real time: using ecological momentary assessment techniques to assess coping with the urge to smoke. Research in Nursing & Health 1998; 21:487-497. Epstein DH, Willner-Reid J, Vahabzadeh M, Mezghanni M, Lin J-L, Preston KL. Real-time electronic diary reports of cue exposure and mood in the hours before cocaine and heroin craving and use. Arch Gen Psychiatry 2009; 66:88-94. Longford NT. Random Coefficient Models. Oxford University Press: New York, 1993. Shiffman S. Dynamic influences on smoking relapse process. Journal of Personality 2005; 73:1715-1748. Kassel JD, Stroud LR, Paronis CA. Smoking, stress, and negative affect: correlation, causation, and context across stages of smoking. Psychological Bulletin 2003; 129:270-304. Stone A, Shiffman S. Ecological momentary assessment (EMA) in behavioral medicine. Annals of Behavioral Medicine 1994; 16:199-202. Bolger N, Davis A, Rafaeli E. Diary methods: capturing life as it is lived. Annual Review of Psychology 2003; 54:579-616. Tiffany ST, Conklin CA, Shiffman S, Clayton RR. What can dependence theories tell us about assessing the emergence of tobacco dependence? Addiction 2004; 99 (s1):78-86. Yoshiuchi K, Yamamoto Y, Akabayashi A. Application of ecological momentary assessment in stress-related diseases. BioPsychoSocial Medicine 2008; 2(1):13. Smyth JM, Stone AA. Ecological momentary assessment research in behavioral medicine. Journal of Happiness Studies 2003; 4:35-52. Granholm E, Loh C, Swendsen J. Feasibility and validity of computerized ecological momentary assessment in schizophrenia. Schizophr Bull 2008; 34:507-14. Trull TJ, Solhan MB, Tragesser SL, Jahng S, Wood PK, Piasecki TM, Watson D. Affective instability: measuring a core feature of borderline personality disorder with ecological momentary assessment. Journal of Abnormal Psychology 2008; 117:647-661. Aitkin M. Modelling variance heterogeneity in normal regression using GLIM. Applied Statistics 1987; 36:332-339. Chassin L, Presson CC, Rose J, Sherman SJ. What is addiction? Age-related differences in the meaning of addiction. Drug and Alcohol Dependence 2007; 87:30-38. Hedeker D, Demirtas H, Mermelstein RJ. A mixed ordinal location scale model for analysis of ecological momentary assessment (EMA) data. Statistics and Its Interface 2009; 2:391-402. Hertzog C, Nesselroade JR. Assessing psychological change in adulthood: an overview of methodological issues. Psychology and Aging 2003; 18:639-657. Walls TA, Schafer JL. Models for Intensive Longitudinal Data. Oxford University Press: New York,2006. le Grange D, Gorin A, Dymek M, Stone A. Does ecological momentary assessment improve cognitive behavioural therapy for binge eating disorder? A pilot study. European Eating Disorders Review 2002; 10:316-328. Hedeker D, Mermelstein RJ, Demirtas H. An application of a mixed-effects location scale model for analysis of ecological momentary assessment (EMA) data. Biometrics 2008; 64:627-634. Watson D, Wiese D, Vaidya J, Tellegen A. The two general activation systems of affect: structural findings, evolutional considerations, and psychobiological evidence. Journal of Personality and Social Psychology 1999; 76:820-838. de Vries MW, Caes CIM, Delespaul PAEG. The experience sampling method in stress and anxiety research. Anxiety Disorders 2001:289-306. Parrott AC. Nicotine psychobiology: how chronic-dose prospective studies can illuminate some of the theoretical issues from acute-dose research. Psychopharmacology 2006; 184:567-576. Watson D, Tellegen A. Toward a consensual structure of mood. Psychological Bulletin 1985; 98:219-235. Simonich H, Wonderlich S, Crosby R, Smyth JM, Thompson K, Redlin J, Mitchell J, Haseltine B. The use of ecological momentary assessment approaches in the study of sexually abused children. Child Abuse and Neglect 2004; 28:803-809. Boseck JJ, Engel SG, Allison KC, Crosby RD, MitchellL JE, de Zwaan M. The application of ecological momentary assessment to the study of night eating. The International Journal of Eating Disorders 2007; 40:271-276. Kimhy D, Delespaul P, Corcoran C, Ahn H, Yale S, Malaspina D. Computerized experience sampling method (ESMc): assessing feasibility and validity among individuals with schizophrenia. Journal of Psychiatric Research 2006; 40:221-230. Vasseur H. Prediction of tropospheric scintillation on satellite links from radiosonde data. IEEE Transactions on Antennas and Propagation 1999; 47:293-301. Mermelstein R, Hedeker D, Flay B, Shiffman S. Situational versus intra-individual contributions to adolescents' subjective mood experience of smoking. Annual Meeting for the Society for Research on Nicotine and Tobacco: Savannah, GA, February 2002. Russell MAH, Peto J, Patel U. The classification of smoking by factorial structure of motives. Journal of the Royal Statistical Society A 1974; 137:313-346. Feldman Barrett L, Barrett D. An introduction to computerized experience sampling in psychology. Social Science Computer Review 2001; 19:175-185. 2004; 99 (s1) 2009; 66 1987; 36 1976; 44 2000; 24 2004; 28 1975; 17 2002; 10 1999; 47 2003; 13 2008; 34 2007 2006 2008; 10 2003; 18 1993 1992 2002 2008; 2 1998; 21 1997; 4 2003; 54 1998; 68 2003; 129 2006; 40 2001 2008; 27 2001; 19 2005; 73 2006; 184 2003; 4 2008; 117 1999; 76 1994; 16 1999; 53 2007; 40 1974; 137 2008; 64 2007; 87 2009; 2 2003; 322 1994; 50 1985; 98 e_1_2_8_28_1 e_1_2_8_29_1 e_1_2_8_47_1 e_1_2_8_46_1 e_1_2_8_26_1 Schwartz JE (e_1_2_8_25_1) 2007 e_1_2_8_27_1 e_1_2_8_3_1 e_1_2_8_2_1 e_1_2_8_5_1 e_1_2_8_4_1 e_1_2_8_7_1 e_1_2_8_6_1 e_1_2_8_9_1 Longford NT (e_1_2_8_44_1) 1993 e_1_2_8_8_1 e_1_2_8_20_1 e_1_2_8_43_1 e_1_2_8_21_1 e_1_2_8_42_1 e_1_2_8_22_1 e_1_2_8_45_1 e_1_2_8_41_1 e_1_2_8_40_1 e_1_2_8_17_1 e_1_2_8_18_1 e_1_2_8_39_1 e_1_2_8_19_1 Mermelstein R (e_1_2_8_23_1) 2002 e_1_2_8_13_1 e_1_2_8_36_1 e_1_2_8_14_1 Mermelstein R (e_1_2_8_24_1) 2007 e_1_2_8_35_1 e_1_2_8_15_1 e_1_2_8_38_1 e_1_2_8_16_1 e_1_2_8_37_1 e_1_2_8_32_1 e_1_2_8_10_1 e_1_2_8_31_1 e_1_2_8_11_1 e_1_2_8_34_1 e_1_2_8_12_1 e_1_2_8_33_1 e_1_2_8_30_1
References_xml	– reference: Granholm E, Loh C, Swendsen J. Feasibility and validity of computerized ecological momentary assessment in schizophrenia. Schizophr Bull 2008; 34:507-14. – reference: Hertzog C, Nesselroade JR. Assessing psychological change in adulthood: an overview of methodological issues. Psychology and Aging 2003; 18:639-657. – reference: Hedeker D, Gibbons RD. A random-effects ordinal regression model for multilevel analysis. Biometrics 1994; 50:933-944. – reference: Longford NT. Random Coefficient Models. Oxford University Press: New York, 1993. – reference: Liu L, Yu Z. A likelihood reformulation method in non-normal random effects models. Statistics in Medicine 2008; 27:3105-3124. – reference: de Vries MW. The Experience of Psychopathology: Investigating Mental Disorders in Their Natural Settings. Cambridge University Press: New York, 1992. – reference: de Vries MW, Caes CIM, Delespaul PAEG. The experience sampling method in stress and anxiety research. Anxiety Disorders 2001:289-306. – reference: Mermelstein R, Hedeker D, Flay B, Shiffman S. Situational versus intra-individual contributions to adolescents' subjective mood experience of smoking. Annual Meeting for the Society for Research on Nicotine and Tobacco: Savannah, GA, February 2002. – reference: Scollon CN, Kim-Prieto C, Diener E. Experience sampling: promises and pitfalls, strengths and weeknesses. Journal of Happiness Studies 2003; 4:5-34. – reference: Hedeker D, Demirtas H, Mermelstein RJ. A mixed ordinal location scale model for analysis of ecological momentary assessment (EMA) data. Statistics and Its Interface 2009; 2:391-402. – reference: Aitkin M. Modelling variance heterogeneity in normal regression using GLIM. Applied Statistics 1987; 36:332-339. – reference: Bolger N, Davis A, Rafaeli E. Diary methods: capturing life as it is lived. Annual Review of Psychology 2003; 54:579-616. – reference: Fowler K, Whitlock MC. The distribution of phenotypic variance with inbreeding. Evolution 1999; 53:1143-1156. – reference: Epstein DH, Willner-Reid J, Vahabzadeh M, Mezghanni M, Lin J-L, Preston KL. Real-time electronic diary reports of cue exposure and mood in the hours before cocaine and heroin craving and use. Arch Gen Psychiatry 2009; 66:88-94. – reference: Leonard T. A Bayesian approach to the linear model with unequal variances. Technometrics 1975; 17:95-102. – reference: Watson D, Tellegen A. Toward a consensual structure of mood. Psychological Bulletin 1985; 98:219-235. – reference: Kassel JD, Stroud LR, Paronis CA. Smoking, stress, and negative affect: correlation, causation, and context across stages of smoking. Psychological Bulletin 2003; 129:270-304. – reference: Watson D, Wiese D, Vaidya J, Tellegen A. The two general activation systems of affect: structural findings, evolutional considerations, and psychobiological evidence. Journal of Personality and Social Psychology 1999; 76:820-838. – reference: Walls TA, Schafer JL. Models for Intensive Longitudinal Data. Oxford University Press: New York,2006. – reference: Hedeker D, Mermelstein RJ, Demirtas H. An application of a mixed-effects location scale model for analysis of ecological momentary assessment (EMA) data. Biometrics 2008; 64:627-634. – reference: Axelson DA, Bertocci MA, Lewin DS, Trubnick LS, Birmaher B, Williamson DE, Ryan ND, Dahl RE. Measuring mood and complex behavior in natural environments: use of ecological momentary assessment in pediatric affective disorders. Journal of Child and Adolescent Psychopharmacology 2003; 13:253-266. – reference: Russell MAH, Peto J, Patel U. The classification of smoking by factorial structure of motives. Journal of the Royal Statistical Society A 1974; 137:313-346. – reference: Kimhy D, Delespaul P, Corcoran C, Ahn H, Yale S, Malaspina D. Computerized experience sampling method (ESMc): assessing feasibility and validity among individuals with schizophrenia. Journal of Psychiatric Research 2006; 40:221-230. – reference: Trull TJ, Solhan MB, Tragesser SL, Jahng S, Wood PK, Piasecki TM, Watson D. Affective instability: measuring a core feature of borderline personality disorder with ecological momentary assessment. Journal of Abnormal Psychology 2008; 117:647-661. – reference: Parrott AC. Nicotine psychobiology: how chronic-dose prospective studies can illuminate some of the theoretical issues from acute-dose research. Psychopharmacology 2006; 184:567-576. – reference: Chassin L, Presson CC, Rose J, Sherman SJ. What is addiction? Age-related differences in the meaning of addiction. Drug and Alcohol Dependence 2007; 87:30-38. – reference: Smyth JM, Stone AA. Ecological momentary assessment research in behavioral medicine. Journal of Happiness Studies 2003; 4:35-52. – reference: Khantzian EJ. The self-medication hypothesis of substance use disorders: a reconsideration and recent applications. Harvard Review of Psychiatry 1997; 4:231Ű244. – reference: Stone A, Shiffman S. Ecological momentary assessment (EMA) in behavioral medicine. Annals of Behavioral Medicine 1994; 16:199-202. – reference: Tiffany ST, Conklin CA, Shiffman S, Clayton RR. What can dependence theories tell us about assessing the emergence of tobacco dependence? Addiction 2004; 99 (s1):78-86. – reference: Simonich H, Wonderlich S, Crosby R, Smyth JM, Thompson K, Redlin J, Mitchell J, Haseltine B. The use of ecological momentary assessment approaches in the study of sexually abused children. Child Abuse and Neglect 2004; 28:803-809. – reference: Renò R, Rizza R. Is volatility lognormal? Evidence from Italian futures. Physica A: Statistical Mechanics and its Applications 2003; 322:620-628. – reference: Yoshiuchi K, Yamamoto Y, Akabayashi A. Application of ecological momentary assessment in stress-related diseases. BioPsychoSocial Medicine 2008; 2(1):13. – reference: Boseck JJ, Engel SG, Allison KC, Crosby RD, MitchellL JE, de Zwaan M. The application of ecological momentary assessment to the study of night eating. The International Journal of Eating Disorders 2007; 40:271-276. – reference: O'Connell KA, Gerkovich MM, Cook MR, Shiffman S, Hickcox M, Kakolewski KE. Coping in real time: using ecological momentary assessment techniques to assess coping with the urge to smoke. Research in Nursing & Health 1998; 21:487-497. – reference: Nesselroade JR, Schmidt McCollam KM. Putting the process in developmental processes. International Journal of Behavioral Development 2000; 24:295-300. – reference: Gwaltney CJ, Bartolomei R, Colby S, Kahler CW. Ecological momentary assessment of adolescent smoking cessation: a feasibility study. Nicotine & Tobacco Research 2008; 10:1185-1190. – reference: Harvey AC. Estimating regression models with multiplicative heteroscedasticity. Econometrica 1976; 44:461-465. – reference: Feldman Barrett L, Barrett D. An introduction to computerized experience sampling in psychology. Social Science Computer Review 2001; 19:175-185. – reference: Shiffman S. Dynamic influences on smoking relapse process. Journal of Personality 2005; 73:1715-1748. – reference: Shenk GC, White TM, Burnhamb KP. Sampling-variance effects on detecting density dependence from temporal trends in natural populations. Ecological Monographs 1998; 68:445Ű463. – reference: Vasseur H. Prediction of tropospheric scintillation on satellite links from radiosonde data. IEEE Transactions on Antennas and Propagation 1999; 47:293-301. – reference: le Grange D, Gorin A, Dymek M, Stone A. Does ecological momentary assessment improve cognitive behavioural therapy for binge eating disorder? A pilot study. European Eating Disorders Review 2002; 10:316-328. – volume: 4 start-page: 5 year: 2003 end-page: 34 article-title: Experience sampling: promises and pitfalls, strengths and weeknesses publication-title: Journal of Happiness Studies – volume: 10 start-page: 316 year: 2002 end-page: 328 article-title: Does ecological momentary assessment improve cognitive behavioural therapy for binge eating disorder? A pilot study publication-title: European Eating Disorders Review – volume: 27 start-page: 3105 year: 2008 end-page: 3124 article-title: A likelihood reformulation method in non‐normal random effects models publication-title: Statistics in Medicine – volume: 24 start-page: 295 year: 2000 end-page: 300 article-title: Putting the process in developmental processes publication-title: International Journal of Behavioral Development – volume: 64 start-page: 627 year: 2008 end-page: 634 article-title: An application of a mixed‐effects location scale model for analysis of ecological momentary assessment (EMA) data publication-title: Biometrics – volume: 98 start-page: 219 year: 1985 end-page: 235 article-title: Toward a consensual structure of mood publication-title: Psychological Bulletin – start-page: 289 year: 2001 end-page: 306 article-title: The experience sampling method in stress and anxiety research publication-title: Anxiety Disorders – volume: 68 start-page: 445Ű463 year: 1998 article-title: Sampling‐variance effects on detecting density dependence from temporal trends in natural populations publication-title: Ecological Monographs – volume: 87 start-page: 30 year: 2007 end-page: 38 article-title: What is addiction? Age‐related differences in the meaning of addiction publication-title: Drug and Alcohol Dependence – volume: 73 start-page: 1715 year: 2005 end-page: 1748 article-title: Dynamic influences on smoking relapse process publication-title: Journal of Personality – start-page: 321 year: 2006 end-page: 347 – volume: 53 start-page: 1143 year: 1999 end-page: 1156 article-title: The distribution of phenotypic variance with inbreeding publication-title: Evolution – volume: 54 start-page: 579 year: 2003 end-page: 616 article-title: Diary methods: capturing life as it is lived publication-title: Annual Review of Psychology – volume: 4 start-page: 231Ű244 year: 1997 article-title: The self‐medication hypothesis of substance use disorders: a reconsideration and recent applications publication-title: Harvard Review of Psychiatry – volume: 21 start-page: 487 year: 1998 end-page: 497 article-title: Coping in real time: using ecological momentary assessment techniques to assess coping with the urge to smoke publication-title: Research in Nursing & Health – start-page: 117 year: 2007 end-page: 135 – volume: 36 start-page: 332 year: 1987 end-page: 339 article-title: Modelling variance heterogeneity in normal regression using GLIM publication-title: Applied Statistics – year: 1992 – volume: 99 (s1) start-page: 78 year: 2004 end-page: 86 article-title: What can dependence theories tell us about assessing the emergence of tobacco dependence? publication-title: Addiction – volume: 322 start-page: 620 year: 2003 end-page: 628 article-title: Is volatility lognormal? Evidence from Italian futures publication-title: Physica A: Statistical Mechanics and its Applications – volume: 44 start-page: 461 year: 1976 end-page: 465 article-title: Estimating regression models with multiplicative heteroscedasticity publication-title: Econometrica – start-page: 76 year: 2007 end-page: 113 – volume: 2 start-page: 13 issue: 1 year: 2008 article-title: Application of ecological momentary assessment in stress‐related diseases publication-title: BioPsychoSocial Medicine – volume: 40 start-page: 271 year: 2007 end-page: 276 article-title: The application of ecological momentary assessment to the study of night eating publication-title: The International Journal of Eating Disorders – volume: 28 start-page: 803 year: 2004 end-page: 809 article-title: The use of ecological momentary assessment approaches in the study of sexually abused children publication-title: Child Abuse and Neglect – volume: 129 start-page: 270 year: 2003 end-page: 304 article-title: Smoking, stress, and negative affect: correlation, causation, and context across stages of smoking publication-title: Psychological Bulletin – volume: 2 start-page: 391 year: 2009 end-page: 402 article-title: A mixed ordinal location scale model for analysis of ecological momentary assessment (EMA) data publication-title: Statistics and Its Interface – volume: 40 start-page: 221 year: 2006 end-page: 230 article-title: Computerized experience sampling method (ESMc): assessing feasibility and validity among individuals with schizophrenia publication-title: Journal of Psychiatric Research – volume: 19 start-page: 175 year: 2001 end-page: 185 article-title: An introduction to computerized experience sampling in psychology publication-title: Social Science Computer Review – year: 2002 – volume: 4 start-page: 35 year: 2003 end-page: 52 article-title: Ecological momentary assessment research in behavioral medicine publication-title: Journal of Happiness Studies – year: 2006 – volume: 50 start-page: 933 year: 1994 end-page: 944 article-title: A random‐effects ordinal regression model for multilevel analysis publication-title: Biometrics – volume: 66 start-page: 88 year: 2009 end-page: 94 article-title: Real‐time electronic diary reports of cue exposure and mood in the hours before cocaine and heroin craving and use publication-title: Arch Gen Psychiatry – volume: 16 start-page: 199 year: 1994 end-page: 202 article-title: Ecological momentary assessment (EMA) in behavioral medicine publication-title: Annals of Behavioral Medicine – volume: 47 start-page: 293 year: 1999 end-page: 301 article-title: Prediction of tropospheric scintillation on satellite links from radiosonde data publication-title: IEEE Transactions on Antennas and Propagation – volume: 76 start-page: 820 year: 1999 end-page: 838 article-title: The two general activation systems of affect: structural findings, evolutional considerations, and psychobiological evidence publication-title: Journal of Personality and Social Psychology – volume: 13 start-page: 253 year: 2003 end-page: 266 article-title: Measuring mood and complex behavior in natural environments: use of ecological momentary assessment in pediatric affective disorders publication-title: Journal of Child and Adolescent Psychopharmacology – volume: 34 start-page: 507 year: 2008 end-page: 14 article-title: Feasibility and validity of computerized ecological momentary assessment in schizophrenia publication-title: Schizophr Bull – volume: 18 start-page: 639 year: 2003 end-page: 657 article-title: Assessing psychological change in adulthood: an overview of methodological issues publication-title: Psychology and Aging – volume: 117 start-page: 647 year: 2008 end-page: 661 article-title: Affective instability: measuring a core feature of borderline personality disorder with ecological momentary assessment publication-title: Journal of Abnormal Psychology – year: 1993 – volume: 184 start-page: 567 year: 2006 end-page: 576 article-title: Nicotine psychobiology: how chronic‐dose prospective studies can illuminate some of the theoretical issues from acute‐dose research publication-title: Psychopharmacology – volume: 10 start-page: 1185 year: 2008 end-page: 1190 article-title: Ecological momentary assessment of adolescent smoking cessation: a feasibility study publication-title: Nicotine & Tobacco Research – volume: 137 start-page: 313 year: 1974 end-page: 346 article-title: The classification of smoking by factorial structure of motives publication-title: Journal of the Royal Statistical Society A – volume: 17 start-page: 95 year: 1975 end-page: 102 article-title: A Bayesian approach to the linear model with unequal variances publication-title: Technometrics – ident: e_1_2_8_41_1 doi: 10.1016/S0378-4371(02)02023-X – ident: e_1_2_8_47_1 doi: 10.1002/sim.3153 – ident: e_1_2_8_13_1 doi: 10.1001/archgenpsychiatry.2008.509 – ident: e_1_2_8_34_1 doi: 10.1111/j.1360-0443.2004.00734.x – ident: e_1_2_8_5_1 doi: 10.1023/A:1023605205115 – ident: e_1_2_8_9_1 doi: 10.1080/01650250050118277 – ident: e_1_2_8_43_1 doi: 10.1109/8.761069 – ident: e_1_2_8_12_1 doi: 10.1002/erv.469 – ident: e_1_2_8_20_1 doi: 10.1111/j.0022-3506.2005.00364.x – ident: e_1_2_8_31_1 doi: 10.1016/j.drugalcdep.2006.07.006 – ident: e_1_2_8_29_1 doi: 10.1037/0033-2909.129.2.270 – ident: e_1_2_8_16_1 doi: 10.1037/a0012532 – ident: e_1_2_8_39_1 doi: 10.1111/j.1558-5646.1999.tb04528.x – ident: e_1_2_8_30_1 doi: 10.3109/10673229709030550 – ident: e_1_2_8_7_1 doi: 10.1146/annurev.psych.54.101601.145030 – ident: e_1_2_8_6_1 doi: 10.1177/089443930101900204 – ident: e_1_2_8_42_1 doi: 10.1890/0012-9615(1998)068[0445:SVEODD]2.0.CO;2 – ident: e_1_2_8_19_1 doi: 10.1016/j.chiabu.2004.01.005 – volume-title: Random Coefficient Models year: 1993 ident: e_1_2_8_44_1 – ident: e_1_2_8_36_1 doi: 10.1037/0022-3514.76.5.820 – ident: e_1_2_8_4_1 doi: 10.1017/CBO9780511663246 – volume-title: Situational versus intra‐individual contributions to adolescents’ subjective mood experience of smoking year: 2002 ident: e_1_2_8_23_1 – ident: e_1_2_8_45_1 doi: 10.4310/SII.2009.v2.n4.a1 – ident: e_1_2_8_37_1 doi: 10.2307/2347792 – start-page: 76 volume-title: The Science of Real‐Time Data Capture: Self‐Report in Health Research year: 2007 ident: e_1_2_8_25_1 doi: 10.1093/oso/9780195178715.003.0005 – ident: e_1_2_8_40_1 doi: 10.1080/00401706.1975.10489277 – ident: e_1_2_8_21_1 doi: 10.1080/14622200802163118 – ident: e_1_2_8_46_1 doi: 10.2307/2533433 – ident: e_1_2_8_11_1 doi: 10.1002/eat.20359 – ident: e_1_2_8_2_1 doi: 10.1093/abm/16.3.199 – ident: e_1_2_8_38_1 doi: 10.2307/1913974 – ident: e_1_2_8_22_1 doi: 10.1002/(SICI)1098-240X(199812)21:6<487::AID-NUR3>3.0.CO;2-G – ident: e_1_2_8_32_1 doi: 10.1037/0882-7974.18.4.639 – ident: e_1_2_8_33_1 doi: 10.1017/CBO9780511544293.016 – ident: e_1_2_8_27_1 doi: 10.1007/s00213-005-0294-y – ident: e_1_2_8_28_1 doi: 10.1111/j.1541-0420.2007.00924.x – ident: e_1_2_8_8_1 doi: 10.1093/acprof:oso/9780195173444.001.0001 – ident: e_1_2_8_26_1 doi: 10.2307/2344953 – ident: e_1_2_8_15_1 doi: 10.1016/j.jpsychires.2005.09.007 – start-page: 117 volume-title: The Science of Real‐Time Data Capture: Self‐Report in Health Research year: 2007 ident: e_1_2_8_24_1 doi: 10.1093/oso/9780195178715.003.0006 – ident: e_1_2_8_3_1 doi: 10.1023/A:1023657221954 – ident: e_1_2_8_35_1 doi: 10.1037/0033-2909.98.2.219 – ident: e_1_2_8_10_1 doi: 10.1089/104454603322572589 – ident: e_1_2_8_17_1 doi: 10.1002/0470846437.ch15 – ident: e_1_2_8_14_1 doi: 10.1093/schbul/sbm113 – ident: e_1_2_8_18_1 doi: 10.1186/1751-0759-2-13
SSID	ssj0011527
Score	2.467354
Snippet	Ecological momentary assessment and/or experience sampling methods are increasingly used in health studies to study subjective experiences within changing...
SourceID	proquest pubmed crossref wiley istex
SourceType	Aggregation Database Index Database Enrichment Source Publisher
StartPage	3328
SubjectTerms	Adolescent Affect Data Collection - methods Ecology - methods heterogeneity Humans Measurement Models, Statistical mood variation Sampling techniques Smoking Smoking - psychology Teenagers variance modeling
Title	Modeling between-subject and within-subject variances in ecological momentary assessment data using mixed-effects location scale models
URI	https://api.istex.fr/ark:/67375/WNG-17MB27WR-1/fulltext.pdf https://onlinelibrary.wiley.com/doi/abs/10.1002%2Fsim.5338 https://www.ncbi.nlm.nih.gov/pubmed/22419604 https://www.proquest.com/docview/1151358232 https://www.proquest.com/docview/1151038134
Volume	31
WOSCitedRecordID	wos000310885900011&url=https%3A%2F%2Fcvtisr.summon.serialssolutions.com%2F%23%21%2Fsearch%3Fho%3Df%26include.ft.matches%3Dt%26l%3Dnull%26q%3D
hasFullText	1
inHoldings	1
isFullTextHit
isPrint
journalDatabaseRights	– providerCode: PRVWIB databaseName: Wiley Online Library Full Collection 2020 customDbUrl: eissn: 1097-0258 dateEnd: 99991231 omitProxy: false ssIdentifier: ssj0011527 issn: 0277-6715 databaseCode: DRFUL dateStart: 19960101 isFulltext: true titleUrlDefault: https://onlinelibrary.wiley.com providerName: Wiley-Blackwell
link	http://cvtisr.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwpV1ti9NAEB68VuRAfKl6Vs9jBdFPuUs3L7v96FtVsEVOj-u3Zd8ixWsqjT3Ob_4Bwd_oL3Emm0QPThD8lJBMsstmJvvszswzAI8QJdjE5yYyCcK31KUukj52kdbGSiMLXGbrutiEmM3kfD5-10RVUi5M4IfoNtzIMur_NRm4NtXBb9LQarHcR6wit6DPUW3THvRfHE6O3nY-hLZgKzkpczHKWurZmB-0z56bjPo0rmcXIc3zwLWeeSbX_6fPN-BagzfZ06AgN-GSLwdwZdp41AdwNezbsZCONIBtQp-BvPkWfKdKaZSvzppwrp_fflQbQ1s3TJeO0Sbu4s-Lp7jyJjWq2KJk3rY_VrZc1THq669Md0ygjIJTGcXdf2TLxZl3-J4muoTRDEsawyp82rO6XE91G44mLz88fx019Rsim_FYRp6yBGTiilxzS9xySWptzg2PrcQTIxxiqbH0TpvCaceLQusks9iQ10YIn9yBXrkq_V1gIhdexFmRGulTkabGZbkec2ELfFfmkyE8aT-ksg25OdXYOFGBlpkrHHpFQz-Eh53k50DocYHM41oXOgG9_kQBcCJTx7NXaiSmz7g4PlSjIey2yqIa269wTZWNKP844dhWdxutllwxuvSrTZAhH22SDmEnKFnXGIEqoszBXtS69NduqvdvpnS896-C92Eb8R4PzJW70Puy3vgHcNmeol6t92BLzOVeY0W_AKkMJaU
linkProvider	Wiley-Blackwell
linkToHtml	http://cvtisr.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwpV1baxNBFD7URLQgXuItWnUE0ae1yexlJvjkLbaYBKkt7dswt5Wg2UjWlPrmHxD8jf4Sz9nZXS1UEHxKyJ7dGSbn7HxzLt8BeIQowcY-M5GJEb4lLnGR9AMXaW2sNDLHY7aumk2I2UweHY3ebcCzphYm8EO0DjeyjOp9TQZODunt36yh5XzxFMGKPAfdBLUo7UD31d74YNIGEZqOrRSlzMQwbbhnB3y7uffUbtSlhT05C2qeRq7V1jO-8l-TvgqXa8TJngcVuQYbvujBhWkdU-_BpeC5Y6EgqQebhD8DffN1-E690qhindUJXT-__SjXhpw3TBeOkRt3_uePx3j2JkUq2bxg3javVrZYVlnqq69Mt1ygjNJTGWXef2CL-Yl3-Jw6v4TRHks6w0q827OqYU95Aw7Gr_df7kR1B4fIpnwgI091AjJ2eaa5JXa5OLE244YPrMQvRjhEUyPpnTa5047nudZxanEgr40QPr4JnWJZ-NvARCa8GKR5YqRPRJIYl2Z6xIXN8Vmpj_vwpPknla3pzanLxicViJm5wqVXtPR9eNhKfg6UHmfIPK6UoRXQq4-UAidSdTh7o4Zi-oKLwz017MNWoy2qtv4ST1XpkCqQY45jtZfRbikYowu_XAcZitLGSR9uBS1rByNYRaQ5OItKmf46TfV-d0qfd_5V8AFc3NmfTtRkd_b2Lmwi-uOBx3ILOl9Wa38Pzttj1LHV_dqYfgEwLSit
linkToPdf	http://cvtisr.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwpV1ta9RAEB5qT0pBfDm1nlZdQfRT2rvNy-7hJ7WeFntHqZb227JvkcNerly8Ur_5BwR_o7_EmWwSLVQQ_JSQTLLLZib77M7MMwBPESXY2GcmMjHCt8QlLpK-7yKtjZVG5rjM1lWxCTGZyOPj4f4KvGhyYQI_RLvhRpZR_a_JwP2py7d_s4aW09kWghV5BTpJOszQKjs7B6PDvdaJ0FRsJS9lJgZpwz3b59vNsxdmow4N7PllUPMicq2mntGN_-r0TbheI072MqjILVjxRRfWxrVPvQvXws4dCwlJXVgn_Bnom2_Dd6qVRhnrrA7o-vntR7k0tHnDdOEYbeNO_7x4hmtvUqSSTQvmbfNrZbN5FaW--Mp0ywXKKDyVUeT9JzabnnuH76njSxjNsaQzrMSnPasK9pR34HD05uPrd1FdwSGyKe_LyFOegIxdnmluiV0uTqzNuOF9K_HECIdoaii90yZ32vE81zpOLTbktRHCx3dhtZgX_h4wkQkv-mmeGOkTkSTGpZkecmFzfFfq4x48b76ksjW9OVXZOFGBmJkrHHpFQ9-DJ63kaaD0uETmWaUMrYBefKYQOJGqo8lbNRDjV1wcHahBDzYbbVG19Ze4qkoHlIEcc2yrvY12S84YXfj5MsiQlzZOerARtKxtjGAVkeZgLypl-ms31YfdMR3v_6vgY1jb3xmpvd3J-wewjuCPBxrLTVj9slj6h3DVnqGKLR7VtvQLg0YoKA
openUrl	ctx_ver=Z39.88-2004&ctx_enc=info%3Aofi%2Fenc%3AUTF-8&rfr_id=info%3Asid%2Fsummon.serialssolutions.com&rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Ajournal&rft.genre=article&rft.atitle=Modeling+between%E2%80%90subject+and+within%E2%80%90subject+variances+in+ecological+momentary+assessment+data+using+mixed%E2%80%90effects+location+scale+models&rft.jtitle=Statistics+in+medicine&rft.au=Hedeker%2C+Donald&rft.au=Mermelstein%2C+Robin+J.&rft.au=Demirtas%2C+Hakan&rft.date=2012-11-30&rft.pub=John+Wiley+%26+Sons%2C+Ltd&rft.issn=0277-6715&rft.eissn=1097-0258&rft.volume=31&rft.issue=27&rft.spage=3328&rft.epage=3336&rft_id=info:doi/10.1002%2Fsim.5338&rft.externalDBID=10.1002%252Fsim.5338&rft.externalDocID=SIM5338
thumbnail_l	http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/lc.gif&issn=0277-6715&client=summon
thumbnail_m	http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/mc.gif&issn=0277-6715&client=summon
thumbnail_s	http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/sc.gif&issn=0277-6715&client=summon