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	<title>SOCIOLOGICAL METHODS &#38; RESEARCH</title>
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		<title>SOCIOLOGICAL METHODS &#38; RESEARCH</title>
		<link>http://smrjournal.wordpress.com</link>
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		<item>
		<title>“Inferring from the General to the Specific: What Happened? Why?”</title>
		<link>http://smrjournal.wordpress.com/2011/05/20/%e2%80%9cinferring-from-the-general-to-the-specific-what-happened-why%e2%80%9d-a-forthcoming-special-issue-of-smr/</link>
		<comments>http://smrjournal.wordpress.com/2011/05/20/%e2%80%9cinferring-from-the-general-to-the-specific-what-happened-why%e2%80%9d-a-forthcoming-special-issue-of-smr/#comments</comments>
		<pubDate>Fri, 20 May 2011 19:35:01 +0000</pubDate>
		<dc:creator>Managing Editor</dc:creator>
				<category><![CDATA[news]]></category>

		<guid isPermaLink="false">http://smrjournal.wordpress.com/?p=1085</guid>
		<description><![CDATA[Chris posted &#8220;Walmart and the ASA&#8221; to the orgtheory blog. The piece is about the recent ASA Amicus Brief which supports the use of social framework analysis by social scientists who act as expert witnesses in, and whose conclusions can support class certification of, large class action discrimination litigation cases. This issue is generating a lot of debate, on scatterplot as well as orgtheory, the [...]<img alt="" border="0" src="http://stats.wordpress.com/b.gif?host=smrjournal.wordpress.com&amp;blog=11750712&amp;post=1085&amp;subd=smrjournal&amp;ref=&amp;feed=1" width="1" height="1" />]]></description>
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		<title>SMR 40.2 TOC</title>
		<link>http://smrjournal.wordpress.com/2011/05/19/smr-40-2-toc/</link>
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		<pubDate>Fri, 20 May 2011 01:08:15 +0000</pubDate>
		<dc:creator>Managing Editor</dc:creator>
				<category><![CDATA[TOC]]></category>

		<guid isPermaLink="false">http://smrjournal.wordpress.com/?p=1053</guid>
		<description><![CDATA[Table of Contents for Sociological Methods &#38; Research 40.2 (May 2011). Filed under: TOC<img alt="" border="0" src="http://stats.wordpress.com/b.gif?host=smrjournal.wordpress.com&amp;blog=11750712&amp;post=1053&amp;subd=smrjournal&amp;ref=&amp;feed=1" width="1" height="1" />]]></description>
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		<title>Homophily and Contagion Are Generically Confounded in Observational Social Network Studies</title>
		<link>http://smrjournal.wordpress.com/2011/05/19/homophily-and-contagion-are-generically-confounded-in-observational-social-network-studies/</link>
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		<pubDate>Fri, 20 May 2011 01:07:46 +0000</pubDate>
		<dc:creator>Managing Editor</dc:creator>
				<category><![CDATA[full-text article]]></category>
		<category><![CDATA[post]]></category>
		<category><![CDATA[causal inference]]></category>
		<category><![CDATA[cognition]]></category>
		<category><![CDATA[homophily]]></category>
		<category><![CDATA[network confounding]]></category>
		<category><![CDATA[neutral models]]></category>
		<category><![CDATA[social influence]]></category>

		<guid isPermaLink="false">http://smrjournal.wordpress.com/?p=1055</guid>
		<description><![CDATA[Shalizi, C., &#38; Thomas, A. (2011). &#60;a href=&#8221;Shalizi, C., &#38; Thomas, A. (2011). Homophily and Contagion Are Generically Confounded in Observational Social Network Studies Sociological Methods &#38; Research, 40 (2), 211-239 DOI: 10.1177/0049124111404820&#8220;&#62;Homophily and Contagion Are Generically Confounded in Observational Social Network Studies Sociological Methods &#38; Research, 40 (2), 211-239 DOI: 10.1177/0049124111404820  Featured article: Available [...]<img alt="" border="0" src="http://stats.wordpress.com/b.gif?host=smrjournal.wordpress.com&amp;blog=11750712&amp;post=1055&amp;subd=smrjournal&amp;ref=&amp;feed=1" width="1" height="1" />]]></description>
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		<item>
		<title>Sensitivity Analysis for Contagion Effects in Social Networks</title>
		<link>http://smrjournal.wordpress.com/2011/05/19/sensitivity-analysis-for-contagion-effects-in-social-networks/</link>
		<comments>http://smrjournal.wordpress.com/2011/05/19/sensitivity-analysis-for-contagion-effects-in-social-networks/#comments</comments>
		<pubDate>Fri, 20 May 2011 01:07:10 +0000</pubDate>
		<dc:creator>Managing Editor</dc:creator>
				<category><![CDATA[full-text article]]></category>
		<category><![CDATA[post]]></category>
		<category><![CDATA[contagion effects]]></category>
		<category><![CDATA[environmental confounding]]></category>
		<category><![CDATA[homophily]]></category>
		<category><![CDATA[social networking]]></category>

		<guid isPermaLink="false">http://smrjournal.wordpress.com/?p=1057</guid>
		<description><![CDATA[VanderWeele, T. (2011). Sensitivity Analysis for Contagion Effects in Social Networks Sociological Methods &#38; Research, 40 (2), 240-255 DOI: 10.1177/0049124111404821  Featured article: Available to download free of charge via Sage Publications until November 15, 2011. Abstract &#38; References Tyler J. VanderWeele, Harvard University, Boston, MA, USA, tvanderw@hsph.harvard.edu Filed under: full-text article, post Tagged: contagion effects, environmental confounding, [...]<img alt="" border="0" src="http://stats.wordpress.com/b.gif?host=smrjournal.wordpress.com&amp;blog=11750712&amp;post=1057&amp;subd=smrjournal&amp;ref=&amp;feed=1" width="1" height="1" />]]></description>
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		<slash:comments>0</slash:comments>
	
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		<item>
		<title>An Extended Model Comparison Framework for Covariance and Mean Structure Models, Accommodating Multiple Groups and Latent Mixtures</title>
		<link>http://smrjournal.wordpress.com/2011/05/19/an-extended-model-comparison-framework-for-covariance-and-mean-structure-models-accommodating-multiple-groups-and-latent-mixtures/</link>
		<comments>http://smrjournal.wordpress.com/2011/05/19/an-extended-model-comparison-framework-for-covariance-and-mean-structure-models-accommodating-multiple-groups-and-latent-mixtures/#comments</comments>
		<pubDate>Fri, 20 May 2011 01:06:14 +0000</pubDate>
		<dc:creator>Managing Editor</dc:creator>
				<category><![CDATA[post]]></category>
		<category><![CDATA[bootsrap]]></category>
		<category><![CDATA[mixture model]]></category>
		<category><![CDATA[model comparisons]]></category>
		<category><![CDATA[multiple-group model]]></category>
		<category><![CDATA[structural equation modeling]]></category>

		<guid isPermaLink="false">http://smrjournal.wordpress.com/?p=1061</guid>
		<description><![CDATA[Levy, R., &#38; Hancock, G. (2011). An Extended Model Comparison Framework for Covariance and Mean Structure Models, Accommodating Multiple Groups and Latent Mixtures Sociological Methods &#38; Research, 40 (2), 256-278 DOI: 10.1177/0049124111404819  Abstract  Roy Levy, Arizona State University, Tempe, AZ, USA, roy.levy@asu.edu Filed under: post Tagged: bootsrap, mixture model, model comparisons, multiple-group model, structural equation [...]<img alt="" border="0" src="http://stats.wordpress.com/b.gif?host=smrjournal.wordpress.com&amp;blog=11750712&amp;post=1061&amp;subd=smrjournal&amp;ref=&amp;feed=1" width="1" height="1" />]]></description>
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		<slash:comments>0</slash:comments>
	
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		<item>
		<title>Measurement Equivalence of Ordinal Items: A Comparison of Factor Analytic, Item Response Theory, and Latent Class Approaches</title>
		<link>http://smrjournal.wordpress.com/2011/05/19/measurement-equivalence-of-ordinal-items-a-comparison-of-factor-analytic-item-response-theory-and-latent-class-approaches/</link>
		<comments>http://smrjournal.wordpress.com/2011/05/19/measurement-equivalence-of-ordinal-items-a-comparison-of-factor-analytic-item-response-theory-and-latent-class-approaches/#comments</comments>
		<pubDate>Fri, 20 May 2011 01:05:38 +0000</pubDate>
		<dc:creator>Managing Editor</dc:creator>
				<category><![CDATA[post]]></category>
		<category><![CDATA[inequivalence]]></category>
		<category><![CDATA[modeling assumptions]]></category>
		<category><![CDATA[ordinal items]]></category>
		<category><![CDATA[simulation data]]></category>

		<guid isPermaLink="false">http://smrjournal.wordpress.com/?p=1064</guid>
		<description><![CDATA[Kankaras, M., Vermunt, J., &#38; Moors, G. (2011). Measurement Equivalence of Ordinal Items: A Comparison of Factor Analytic, Item Response Theory, and Latent Class Approaches Sociological Methods &#38; Research, 40 (2), 279-310 DOI: 10.1177/0049124111405301  Abstract Miloš Kankaraš, Tilburg University, Tilburg, The Netherlands, m.kankaras@uvt.nl Filed under: post Tagged: inequivalence, modeling assumptions, ordinal items, simulation data<img alt="" border="0" src="http://stats.wordpress.com/b.gif?host=smrjournal.wordpress.com&amp;blog=11750712&amp;post=1064&amp;subd=smrjournal&amp;ref=&amp;feed=1" width="1" height="1" />]]></description>
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		<slash:comments>0</slash:comments>
	
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		<item>
		<title>Multiple Auxiliary Variables in Nonresponse Adjustment</title>
		<link>http://smrjournal.wordpress.com/2011/05/19/multiple-auxiliary-variables-in-nonresponse-adjustment/</link>
		<comments>http://smrjournal.wordpress.com/2011/05/19/multiple-auxiliary-variables-in-nonresponse-adjustment/#comments</comments>
		<pubDate>Fri, 20 May 2011 01:04:58 +0000</pubDate>
		<dc:creator>Managing Editor</dc:creator>
				<category><![CDATA[post]]></category>
		<category><![CDATA[mean square error]]></category>
		<category><![CDATA[nonresponse bias adjustment]]></category>
		<category><![CDATA[response propensity models]]></category>
		<category><![CDATA[survey participation]]></category>

		<guid isPermaLink="false">http://smrjournal.wordpress.com/?p=1066</guid>
		<description><![CDATA[Kreuter, F., &#38; Olson, K. (2011). Multiple Auxiliary Variables in Nonresponse Adjustment Sociological Methods &#38; Research, 40 (2), 311-332 DOI: 10.1177/0049124111400042  Abstract Frauke Kreuter, University of Maryland, College Park, USA and Institute for Employment Research, Nuremberg, Germany, fkreuter@survey.umd.edu Filed under: post Tagged: mean square error, nonresponse bias adjustment, response propensity models, survey participation<img alt="" border="0" src="http://stats.wordpress.com/b.gif?host=smrjournal.wordpress.com&amp;blog=11750712&amp;post=1066&amp;subd=smrjournal&amp;ref=&amp;feed=1" width="1" height="1" />]]></description>
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		<slash:comments>0</slash:comments>
	
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		<item>
		<title>When Change Matters: An Analysis of Survey Interaction in Dependent Interviewing on the British Household Panel Study</title>
		<link>http://smrjournal.wordpress.com/2011/05/19/when-change-matters-an-analysis-of-survey-interaction-in-dependent-interviewing-on-the-british-household-panel-study/</link>
		<comments>http://smrjournal.wordpress.com/2011/05/19/when-change-matters-an-analysis-of-survey-interaction-in-dependent-interviewing-on-the-british-household-panel-study/#comments</comments>
		<pubDate>Fri, 20 May 2011 01:04:28 +0000</pubDate>
		<dc:creator>Managing Editor</dc:creator>
				<category><![CDATA[post]]></category>
		<category><![CDATA[BHPS]]></category>
		<category><![CDATA[dependent interviewing]]></category>
		<category><![CDATA[interviewer—respondent interaction]]></category>

		<guid isPermaLink="false">http://smrjournal.wordpress.com/?p=1068</guid>
		<description><![CDATA[Uhrig, S., &#38; Sala, E. (2011). When Change Matters: An Analysis of Survey Interaction in Dependent Interviewing on the British Household Panel Study Sociological Methods &#38; Research, 40 (2), 333-366 DOI: 10.1177/0049124111404816  Abstract SC Noah Uhrig, University of Essex, United Kingdom, scnuhrig@essex.ac.uk Filed under: post Tagged: BHPS, dependent interviewing, interviewer—respondent interaction<img alt="" border="0" src="http://stats.wordpress.com/b.gif?host=smrjournal.wordpress.com&amp;blog=11750712&amp;post=1068&amp;subd=smrjournal&amp;ref=&amp;feed=1" width="1" height="1" />]]></description>
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		<slash:comments>0</slash:comments>
	
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		<item>
		<title>Group-based Trajectory Modeling Extended to Account for Nonrandom Participant Attrition</title>
		<link>http://smrjournal.wordpress.com/2011/05/19/group-based-trajectory-modeling-extended-to-account-for-nonrandom-participant-attrition/</link>
		<comments>http://smrjournal.wordpress.com/2011/05/19/group-based-trajectory-modeling-extended-to-account-for-nonrandom-participant-attrition/#comments</comments>
		<pubDate>Fri, 20 May 2011 01:03:59 +0000</pubDate>
		<dc:creator>Managing Editor</dc:creator>
				<category><![CDATA[post]]></category>
		<category><![CDATA[attrition bias]]></category>
		<category><![CDATA[finite mixture models]]></category>
		<category><![CDATA[longitudinal data]]></category>
		<category><![CDATA[trajectory groups]]></category>

		<guid isPermaLink="false">http://smrjournal.wordpress.com/?p=1070</guid>
		<description><![CDATA[Haviland, A., Jones, B., &#38; Nagin, D. (2011). Group-based Trajectory Modeling Extended to Account for Nonrandom Participant Attrition Sociological Methods &#38; Research, 40 (2), 367-390 DOI: 10.1177/0049124111400041  Abstract  Daniel S. Nagin, Carnegie Mellon University, Pittsburgh, PA, USA, dn03@andrew.cmu.edu Filed under: post Tagged: attrition bias, finite mixture models, longitudinal data, trajectory groups<img alt="" border="0" src="http://stats.wordpress.com/b.gif?host=smrjournal.wordpress.com&amp;blog=11750712&amp;post=1070&amp;subd=smrjournal&amp;ref=&amp;feed=1" width="1" height="1" />]]></description>
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		<slash:comments>0</slash:comments>
	
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	</item>
		<item>
		<title>Assessing the Robustness of Crisp-set and Fuzzy-set QCA Results</title>
		<link>http://smrjournal.wordpress.com/2011/05/19/assessing-the-robustness-of-crisp-set-and-fuzzy-set-qca-results/</link>
		<comments>http://smrjournal.wordpress.com/2011/05/19/assessing-the-robustness-of-crisp-set-and-fuzzy-set-qca-results/#comments</comments>
		<pubDate>Fri, 20 May 2011 01:03:27 +0000</pubDate>
		<dc:creator>Managing Editor</dc:creator>
				<category><![CDATA[post]]></category>
		<category><![CDATA[configurational comparative methods]]></category>
		<category><![CDATA[crisp-set]]></category>
		<category><![CDATA[Fuzzy-set]]></category>
		<category><![CDATA[QCA results]]></category>
		<category><![CDATA[robustness tests]]></category>

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		<description><![CDATA[Skaaning, S. (2011). Assessing the Robustness of Crisp-set and Fuzzy-set QCA Results Sociological Methods &#38; Research DOI: 10.1177/0049124111404818  Abstract  Svend-Erik Skaaning, Aarhus University, Aarhus, Denmark, Skaaning@ps.au.dk Filed under: post Tagged: configurational comparative methods, crisp-set, Fuzzy-set, QCA results, robustness tests<img alt="" border="0" src="http://stats.wordpress.com/b.gif?host=smrjournal.wordpress.com&amp;blog=11750712&amp;post=1073&amp;subd=smrjournal&amp;ref=&amp;feed=1" width="1" height="1" />]]></description>
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		<item>
		<title>New for 2011</title>
		<link>http://smrjournal.wordpress.com/2011/01/13/new-for-2011/</link>
		<comments>http://smrjournal.wordpress.com/2011/01/13/new-for-2011/#comments</comments>
		<pubDate>Thu, 13 Jan 2011 15:40:46 +0000</pubDate>
		<dc:creator>Chris Winship</dc:creator>
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		<category><![CDATA[Chris Winship]]></category>
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		<description><![CDATA[2010 was quite an eventful year for SMR: Our cover got a new look, we published a special issue on sequence analysis, welcomed new members to the Editorial Board, and, most important, launched the SMR blog. Thompson-Reuters released the 2009 Journal Citation Reports, and SMR had a very strong showing. For 2010, Thompson-Reuters introduced the 5-year [...]<img alt="" border="0" src="http://stats.wordpress.com/b.gif?host=smrjournal.wordpress.com&amp;blog=11750712&amp;post=972&amp;subd=smrjournal&amp;ref=&amp;feed=1" width="1" height="1" />]]></description>
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		<title>SMR 40.1 TOC</title>
		<link>http://smrjournal.wordpress.com/2011/01/12/smr-40-1-toc/</link>
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		<pubDate>Wed, 12 Jan 2011 22:09:02 +0000</pubDate>
		<dc:creator>Managing Editor</dc:creator>
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		<description><![CDATA[Table of Contents for Sociological Methods &#38; Research 40.1 (February 2011). With this issue, SMR begins its 40th year! Filed under: TOC<img alt="" border="0" src="http://stats.wordpress.com/b.gif?host=smrjournal.wordpress.com&amp;blog=11750712&amp;post=1001&amp;subd=smrjournal&amp;ref=&amp;feed=1" width="1" height="1" />]]></description>
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		<title>Sociological Methods &amp;  Research 40th Anniversary</title>
		<link>http://smrjournal.wordpress.com/2011/01/12/sociological-methods-research-40th-anniversary/</link>
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		<pubDate>Wed, 12 Jan 2011 21:09:47 +0000</pubDate>
		<dc:creator>Chris Winship</dc:creator>
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		<description><![CDATA[Winship, C. (2011). Sociological Methods &#38; Research 40th Anniversary, Sociological Methods &#38; Research, 40 (1), 3-5 DOI: 10.1177/0049124110392686. As part of the 40th anniversary issue, we have also gathered SMR&#8217;s top article citations by decade. Available to download free of charge via Sage Publications until 6/1/2011. Filed under: news, post Tagged: Chris Winship, SMR<img alt="" border="0" src="http://stats.wordpress.com/b.gif?host=smrjournal.wordpress.com&amp;blog=11750712&amp;post=1003&amp;subd=smrjournal&amp;ref=&amp;feed=1" width="1" height="1" />]]></description>
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		<title>Body Mass Index and Physical Attractiveness: Evidence From a Combination Image-Alteration/List Experiment</title>
		<link>http://smrjournal.wordpress.com/2011/01/12/body-mass-index-and-physical-attractiveness-evidence-from-a-combination-image-alterationlist-experiment/</link>
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		<pubDate>Wed, 12 Jan 2011 20:25:53 +0000</pubDate>
		<dc:creator>Managing Editor</dc:creator>
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		<category><![CDATA[BMI]]></category>
		<category><![CDATA[Internet experiment]]></category>
		<category><![CDATA[list experiment]]></category>
		<category><![CDATA[physical attractiveness]]></category>
		<category><![CDATA[visual sociology]]></category>

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		<description><![CDATA[Conley, D., &#38; McCabe, B. (2011). Body Mass Index and Physical Attractiveness: Evidence From a Combination Image-Alteration/List Experiment, Sociological Methods &#38; Research, 40 (1), 6-31 DOI: 10.1177/0049124110390762 Featured article: Available to download free of charge via Sage Publications until 6/1/2011. Abstract &#38; References, View Supplemental Data Dalton Conley, New York University, New York, NY, USA, conley@nyu.edu Filed under: post [...]<img alt="" border="0" src="http://stats.wordpress.com/b.gif?host=smrjournal.wordpress.com&amp;blog=11750712&amp;post=1006&amp;subd=smrjournal&amp;ref=&amp;feed=1" width="1" height="1" />]]></description>
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		<title>Nonparametric Tests of Panel Conditioning and Attrition Bias in Panel Surveys</title>
		<link>http://smrjournal.wordpress.com/2011/01/12/nonparametric-tests-of-panel-conditioning-and-attrition-bias-in-panel-surveys/</link>
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		<pubDate>Wed, 12 Jan 2011 20:15:32 +0000</pubDate>
		<dc:creator>Managing Editor</dc:creator>
				<category><![CDATA[post]]></category>
		<category><![CDATA[attrition bias]]></category>
		<category><![CDATA[measurement error]]></category>
		<category><![CDATA[panel conditioning]]></category>
		<category><![CDATA[panel surveys]]></category>

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		<description><![CDATA[Das, M., Toepoel, V., &#38; van Soest, A. (2011). Nonparametric Tests of Panel Conditioning and Attrition Bias in Panel Surveys, Sociological Methods &#38; Research, 40 (1), 32-56 DOI: 10.1177/0049124110390765, view abstract. Filed under: post Tagged: attrition bias, measurement error, panel conditioning, panel surveys<img alt="" border="0" src="http://stats.wordpress.com/b.gif?host=smrjournal.wordpress.com&amp;blog=11750712&amp;post=1012&amp;subd=smrjournal&amp;ref=&amp;feed=1" width="1" height="1" />]]></description>
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		<title>Two Algorithms for Relaxed Structural Balance Partitioning: Linking Theory, Models, and Data to Understand Social Network Phenomena</title>
		<link>http://smrjournal.wordpress.com/2011/01/12/two-algorithms-for-relaxed-structural-balance-partitioning-linking-theory-models-and-data-to-understand-social-network-phenomena/</link>
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		<pubDate>Wed, 12 Jan 2011 20:06:40 +0000</pubDate>
		<dc:creator>Managing Editor</dc:creator>
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		<category><![CDATA[algorithms]]></category>
		<category><![CDATA[blockmodeling]]></category>
		<category><![CDATA[relaxed structural balance]]></category>
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		<description><![CDATA[Brusco, M., Doreian, P., Mrvar, A., &#38; Steinley, D. (2010). Two Algorithms for Relaxed Structural Balance Partitioning: Linking Theory, Models, and Data to Understand Social Network Phenomena, Sociological Methods &#38; Research, 40 (1), 57-87 DOI: 10.1177/0049124110384947, view abstract. Filed under: post Tagged: algorithms, blockmodeling, relaxed structural balance, signed networks<img alt="" border="0" src="http://stats.wordpress.com/b.gif?host=smrjournal.wordpress.com&amp;blog=11750712&amp;post=1016&amp;subd=smrjournal&amp;ref=&amp;feed=1" width="1" height="1" />]]></description>
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		<title>The Effects of Asking Filter Questions in Interleafed Versus Grouped Format</title>
		<link>http://smrjournal.wordpress.com/2011/01/12/the-effects-of-asking-filter-questions-in-interleafed-versus-grouped-format/</link>
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		<pubDate>Wed, 12 Jan 2011 20:04:49 +0000</pubDate>
		<dc:creator>Managing Editor</dc:creator>
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		<category><![CDATA[filter questions]]></category>
		<category><![CDATA[questionnaire design]]></category>
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		<description><![CDATA[Kreuter, F., McCulloch, S., Presser, S., &#38; Tourangeau, R. (2011). The Effects of Asking Filter Questions in Interleafed Versus Grouped Format Sociological Methods &#38; Research, 40 (1), 88-104 DOI: 10.1177/0049124110392342, view abstract. Filed under: post Tagged: filter questions, questionnaire design, respondent behavior, response burden<img alt="" border="0" src="http://stats.wordpress.com/b.gif?host=smrjournal.wordpress.com&amp;blog=11750712&amp;post=1019&amp;subd=smrjournal&amp;ref=&amp;feed=1" width="1" height="1" />]]></description>
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		<title>Estimating Propensity Adjustments for Volunteer Web Surveys</title>
		<link>http://smrjournal.wordpress.com/2011/01/12/estimating-propensity-adjustments-for-volunteer-web-surveys/</link>
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		<pubDate>Wed, 12 Jan 2011 20:01:42 +0000</pubDate>
		<dc:creator>Managing Editor</dc:creator>
				<category><![CDATA[post]]></category>
		<category><![CDATA[calibration estimator]]></category>
		<category><![CDATA[logistic regression]]></category>
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		<description><![CDATA[Valliant, R., &#38; Dever, J. (2011). Estimating Propensity Adjustments for Volunteer Web Surveys Sociological Methods &#38; Research, 40 (1), 105-137 DOI: 10.1177/0049124110392533, view abstract. Filed under: post Tagged: calibration estimator, logistic regression, nonignorable selection, propensity model, reference survey, web survey<img alt="" border="0" src="http://stats.wordpress.com/b.gif?host=smrjournal.wordpress.com&amp;blog=11750712&amp;post=1021&amp;subd=smrjournal&amp;ref=&amp;feed=1" width="1" height="1" />]]></description>
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		<title>Multiple Sources of Nonobservation Error in Telephone Surveys: Coverage and Nonresponse</title>
		<link>http://smrjournal.wordpress.com/2011/01/12/multiple-sources-of-nonobservation-error-in-telephone-surveys-coverage-and-nonresponse/</link>
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		<pubDate>Wed, 12 Jan 2011 19:48:27 +0000</pubDate>
		<dc:creator>Managing Editor</dc:creator>
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		<category><![CDATA[cell phone]]></category>
		<category><![CDATA[coverage bias]]></category>
		<category><![CDATA[dual frame]]></category>
		<category><![CDATA[nonresponse bias]]></category>
		<category><![CDATA[two phase]]></category>
		<category><![CDATA[weighting adjustments]]></category>

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		<description><![CDATA[Peytchev, A., Carley-Baxter, L., &#38; Black, M. (2011). Multiple Sources of Nonobservation Error in Telephone Surveys: Coverage and Nonresponse Sociological Methods &#38; Research, 40 (1), 138-168 DOI: 10.1177/0049124110392547, view abstract. Filed under: post Tagged: cell phone, coverage bias, dual frame, nonresponse bias, two phase, weighting adjustments<img alt="" border="0" src="http://stats.wordpress.com/b.gif?host=smrjournal.wordpress.com&amp;blog=11750712&amp;post=1025&amp;subd=smrjournal&amp;ref=&amp;feed=1" width="1" height="1" />]]></description>
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		<title>Sensitive Questions in Online Surveys: Experimental Results for the Randomized Response Technique (RRT) and the Unmatched Count Technique (UCT)</title>
		<link>http://smrjournal.wordpress.com/2011/01/12/sensitive-questions-in-online-surveys-experimental-results-for-the-randomized-response-technique-rrt-and-the-unmatched-count-technique-uct/</link>
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		<pubDate>Wed, 12 Jan 2011 19:24:10 +0000</pubDate>
		<dc:creator>Managing Editor</dc:creator>
				<category><![CDATA[post]]></category>
		<category><![CDATA[item count technique]]></category>
		<category><![CDATA[methodological experiment]]></category>
		<category><![CDATA[online survey]]></category>
		<category><![CDATA[randomized response technique]]></category>
		<category><![CDATA[sensitive questions]]></category>
		<category><![CDATA[unmatched count technique]]></category>

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		<description><![CDATA[Coutts, E., &#38; Jann, B. (2011). Sensitive Questions in Online Surveys: Experimental Results for the Randomized Response Technique (RRT) and the Unmatched Count Technique (UCT) Sociological Methods &#38; Research, 40 (1), 169-193 DOI: 10.1177/0049124110390768, view abstract. Filed under: post Tagged: item count technique, methodological experiment, online survey, randomized response technique, sensitive questions, unmatched count technique<img alt="" border="0" src="http://stats.wordpress.com/b.gif?host=smrjournal.wordpress.com&amp;blog=11750712&amp;post=1030&amp;subd=smrjournal&amp;ref=&amp;feed=1" width="1" height="1" />]]></description>
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		<title>SMR 39.2 TOC</title>
		<link>http://smrjournal.wordpress.com/2010/11/12/smr-39-2-toc/</link>
		<comments>http://smrjournal.wordpress.com/2010/11/12/smr-39-2-toc/#comments</comments>
		<pubDate>Fri, 12 Nov 2010 19:58:49 +0000</pubDate>
		<dc:creator>Managing Editor</dc:creator>
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		<description><![CDATA[http://smr.sagepub.com/content/39/1.toc Kenneth A. Bollen and Shawn Bauldry, Model Identification and Computer Algebra, Sociological Methods &#38; Research November 2010 39: 127-156,doi:10.1177/0049124110366238 Daniel A. Powers, Assessing Group Differences in Estimated Baseline Survivor Functions From Cox Proportional Hazards Models, Sociological Methods &#38; Research November 2010 39: 157-187,doi:10.1177/0049124110384064 Wen Luo and Oi-Man Kwok, Proportional Reduction of Prediction Error in Cross-Classified Random Effects Models, Sociological Methods &#38; Research November 2010 39: 188-205,doi:10.1177/0049124110384062 Oluseun Odumade and Sarjinder Singh, An Alternative to [...]<img alt="" border="0" src="http://stats.wordpress.com/b.gif?host=smrjournal.wordpress.com&amp;blog=11750712&amp;post=990&amp;subd=smrjournal&amp;ref=&amp;feed=1" width="1" height="1" />]]></description>
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		<title>Model Identification and Computer Algebra</title>
		<link>http://smrjournal.wordpress.com/2010/11/12/model-identification-and-computer-algebra/</link>
		<comments>http://smrjournal.wordpress.com/2010/11/12/model-identification-and-computer-algebra/#comments</comments>
		<pubDate>Fri, 12 Nov 2010 19:45:09 +0000</pubDate>
		<dc:creator>Managing Editor</dc:creator>
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		<category><![CDATA[identification]]></category>
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		<category><![CDATA[unique solutions]]></category>

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		<description><![CDATA[Kenneth A. Bollen and Shawn Bauldry, Model Identification and Computer Algebra, Sociological Methods &#38; Research 2010 39: 127-156. Multiequation models that contain observed or latent variables are common in the social sciences. To determine whether unique parameter values exist for such models, one needs to assess model identification. In practice, analysts rely on empirical checks that [...]<img alt="" border="0" src="http://stats.wordpress.com/b.gif?host=smrjournal.wordpress.com&amp;blog=11750712&amp;post=988&amp;subd=smrjournal&amp;ref=&amp;feed=1" width="1" height="1" />]]></description>
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		<title>Assessing Group Differences in Estimated Baseline Survivor Functions From Cox Proportional Hazards Models</title>
		<link>http://smrjournal.wordpress.com/2010/11/12/assessing-group-differences-in-estimated-baseline-survivor-functions-from-cox-proportional-hazards-models/</link>
		<comments>http://smrjournal.wordpress.com/2010/11/12/assessing-group-differences-in-estimated-baseline-survivor-functions-from-cox-proportional-hazards-models/#comments</comments>
		<pubDate>Fri, 12 Nov 2010 19:32:05 +0000</pubDate>
		<dc:creator>Managing Editor</dc:creator>
				<category><![CDATA[post]]></category>
		<category><![CDATA[adjusted life tables]]></category>
		<category><![CDATA[Cox proportional hazards models]]></category>
		<category><![CDATA[group differences]]></category>
		<category><![CDATA[log rank tests]]></category>
		<category><![CDATA[survival analysis]]></category>

		<guid isPermaLink="false">http://smrjournal.wordpress.com/?p=985</guid>
		<description><![CDATA[Daniel A. Powers, Assessing Group Differences in Estimated Baseline Survivor Functions From Cox Proportional Hazards Models, Sociological Methods &#38; Research 2010 39: 157-187. The author discusses the general problem of evaluating differences in adjusted survivor functions and develops a heuristic approach to generate the expected events that would occur under a Cox proportional hazards model. Differences [...]<img alt="" border="0" src="http://stats.wordpress.com/b.gif?host=smrjournal.wordpress.com&amp;blog=11750712&amp;post=985&amp;subd=smrjournal&amp;ref=&amp;feed=1" width="1" height="1" />]]></description>
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		<title>Proportional Reduction of Prediction Error in Cross-Classified Random Effects Models</title>
		<link>http://smrjournal.wordpress.com/2010/11/12/proportional-reduction-of-prediction-error-in-cross-classified-random-effects-models/</link>
		<comments>http://smrjournal.wordpress.com/2010/11/12/proportional-reduction-of-prediction-error-in-cross-classified-random-effects-models/#comments</comments>
		<pubDate>Fri, 12 Nov 2010 19:25:54 +0000</pubDate>
		<dc:creator>Managing Editor</dc:creator>
				<category><![CDATA[post]]></category>
		<category><![CDATA[cross-classified]]></category>
		<category><![CDATA[model adequacy]]></category>
		<category><![CDATA[modeled variance]]></category>
		<category><![CDATA[multilevel model]]></category>
		<category><![CDATA[R-squared]]></category>

		<guid isPermaLink="false">http://smrjournal.wordpress.com/?p=982</guid>
		<description><![CDATA[Wen Luo and Oi-Man Kwok, Proportional Reduction of Prediction Error in Cross-Classified Random Effects Models, Sociological Methods &#38; Research 2010 39: 188-205. As an extension of hierarchical linear models (HLMs), cross-classified random effects models (CCREMs) are used for analyzing multilevel data that do not have strictly hierarchical structures. Proportional reduction in prediction error, a multilevel version [...]<img alt="" border="0" src="http://stats.wordpress.com/b.gif?host=smrjournal.wordpress.com&amp;blog=11750712&amp;post=982&amp;subd=smrjournal&amp;ref=&amp;feed=1" width="1" height="1" />]]></description>
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		<title>An Alternative to the Bar-Lev, Bobovitch, and Boukai Randomized Response Model</title>
		<link>http://smrjournal.wordpress.com/2010/11/12/an-alternative-to-the-bar-lev-bobovitch-and-boukai-randomized-response-model/</link>
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		<pubDate>Fri, 12 Nov 2010 19:20:31 +0000</pubDate>
		<dc:creator>Managing Editor</dc:creator>
				<category><![CDATA[post]]></category>
		<category><![CDATA[estimation of population total]]></category>
		<category><![CDATA[randomized response sampling]]></category>
		<category><![CDATA[sensitive quantitative variable]]></category>

		<guid isPermaLink="false">http://smrjournal.wordpress.com/?p=979</guid>
		<description><![CDATA[Oluseun Odumade and Sarjinder Singh, An Alternative to the Bar-Lev, Bobovitch, and Boukai Randomized Response Model, Sociological Methods &#38; Research 2010 39: 206-221. In this article, an alternative randomized response model is proposed. The proposed model is found to be more efficient than the randomized response model studied by Bar-Lev, Bobovitch, and Boukai (2004). The relative [...]<img alt="" border="0" src="http://stats.wordpress.com/b.gif?host=smrjournal.wordpress.com&amp;blog=11750712&amp;post=979&amp;subd=smrjournal&amp;ref=&amp;feed=1" width="1" height="1" />]]></description>
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