robustness tests for quantitative research

/A << ET /pdfrw_0 59 0 R q /A << /Rect [ 17.01000 21.01000 191.50000 13.01000 ] Robustness in qualitative analysis is an analytical property of the qualitative test method, as in quantitative methods of analysis, rather than of the binary response, whose ultimate purpose is to define the experimental weakness of the qualitative method by defining what variables are critical to ensure the reliability of the responses. /Rect [ 17.01000 693.69000 81.07000 685.69000 ] /XObject << 141.73000 784.65000 l endobj With the advance of sequencing technologies, it has become a routine practice to test for association between a quantitative trait and a set of rare variants (RVs). /Type /Annot /URI (www\056cambridge\056org\0579781108415392) /Rect [ 17.01000 693.69000 81.07000 685.69000 ] /MediaBox [ 0 0 430 784.65000 ] 0 g This highly accessible book presents the logic of robustness testing, provides an operational definition of robustness that can be applied in all quantitative research, and introduces readers to diverse types. S endobj <00430061006d00620072006900640067006500200055006e00690076006500720073006900740079002000500072006500730073> Tj /F1 46 0 R >> << /ExtGState 21 0 R endobj /Type /Catalog /URI (www\056cambridge\056org\0579781108415392) /Font 23 0 R /S /URI ��YV4A�Lf��b,�;��8�v�>9H��r�Y+�d��M,3��׊R��9��ęI�$��H�c#��Ծ:�@-@��m�`h��2� ��8|�m��L��`7��SW��]��+�~_�� 15 0 obj 3 0 obj /Rect [ 17.01000 21.01000 191.50000 13.01000 ] /Parent 1 0 R In the first instance, the quantitative aspects (content â¦ /Type /Annot endobj /Annots [ << >> >> /Font << Find many great new & used options and get the best deals for Robustness Tests for Quantitative Research by Eric Neumayer, Thomas Plumper (Paperback, 2017) at the best online prices at eBay! /Subtype /Link 16 0 obj /A << /Parent 1 0 R /Border [ 0 0 0 ] The uncertainty that researchers face in specifying their estimation model threatens the validity of their inferences. /Border [ 0 0 0 ] >> ] /Type /Annot 20 0 obj >> ] /URI (www\056cambridge\056org\0579781108415392) >> /XObject << ET Let's put this list to the test with two common robustness tests to see how we might fill them in. /Subtype /Link >> /MediaBox [ 0 0 430 784.65000 ] /ProcSet [ /Text /PDF /ImageI /ImageC /ImageB ] >> ] /Annots [ << 17.01000 731.22000 Td /ProcSet [ /Text /PDF /ImageI /ImageC /ImageB ] <003900370038002d0031002d003100300038002d00340031003500330039002d00320020201400200052006f0062007500730074006e00650073007300200054006500730074007300200066006f00720020005100750061006e00740069007400610074006900760065002000520065007300650061007200630068> Tj /XObject << /pdfrw_0 108 0 R endobj /Subtype /Link /Resources << /Rect [ 17.01000 21.01000 191.50000 13.01000 ] /URI (www\056cambridge\056org) ET /URI (www\056cambridge\056org) /Border [ 0 0 0 ] %�� /ProcSet [ /Text /PDF /ImageI /ImageC /ImageB ] << q /MediaBox [ 0 0 430 784.65000 ] /Border [ 0 0 0 ] /Border [ 0 0 0 ] /Type /XObject endobj /Subtype /Link << /Border [ 0 0 0 ] /I1 44 0 R /A << /Type /Annot /MediaBox [ 0 0 430 784.65000 ] /Border [ 0 0 0 ] /Parent 1 0 R onAcademic is where you discover scientific knowledge and share your research. /Border [ 0 0 0 ] << 978-1-108-41539-2 â Robustness Tests for Quantitative Research. Robustness Tests for Quantitative Research - by Eric Neumayer August 2017. /A << #�HL8i·'|�/ތG�{Z�!��ƣ��a�/l��;�/��+�Z�xu�#��?�� /URI (www\056cambridge\056org\0579781108415392) /Rect [ 17.01000 21.01000 191.50000 13.01000 ] endobj 330.79000 13.47000 71.02000 -0.39000 re /Contents 18 0 R >> <00a900200069006e00200074006800690073002000770065006200200073006500720076006900630065002000430061006d00620072006900640067006500200055006e00690076006500720073006900740079002000500072006500730073> Tj /Contents 120 0 R /I1 44 0 R >> 7 0 obj /pdfrw_0 Do 2 0 obj /MediaBox [ 0 0 430 784.65000 ] >> << 0 g Or, /pdfrw_0 69 0 R BT /FormType 1 /A << /FullPage 20 0 R of Systems Design, Div. >> << /S /URI Everyday low prices and free delivery on eligible orders. >> ] /Rect [ 17.01000 693.69000 81.07000 685.69000 ] /Subtype /Link /Rect [ 17.01000 21.01000 191.50000 13.01000 ] Q /Subtype /Link /Rect [ 17.01000 21.01000 191.50000 13.01000 ] x��X˒�� o�+jI9T�|A��b4�L(��Yh��)��%�Zj��L�� %�L8�h*ɼ�{��Ib�I�7�/�wz�m��d�p��N��_y޼�c��ƈ��x��'�O�"Jo��f��Vð��T�&�ѾF�46N��D��~��X��X?V\Mb��]5TE_��O�T�T@�8��l�o��O8'�4�]۲�Ǣn�'��4�'aU?pQ�i�GǢ��gyT��n�Gå*��S�>�5mM4��OK+#�S��q�e�Yt�U��#}U��B�Z�tVx�Z�a��P��z,��PSwiE��&�~kn�Yhk��+��v?��R��h��i�� << /pdfrw_0 146 0 R /ProcSet [ /Text /PDF /ImageI /ImageC /ImageB ] /Contents 140 0 R /S /URI /Annots [ << /Contents 125 0 R /Type /Page << q /Font << /Subtype /Link q << /Font << /Border [ 0 0 0 ] /URI (www\056cambridge\056org) /Rect [ 17.01000 21.01000 191.50000 13.01000 ] 9 0 obj /Parent 1 0 R q /S /URI x��W]o�6}7��G�hX��'0�Ҭk�6i�m�=h��D��~�\:N�)xC�")��q��x�_��_��M1��B��ѫ7�P��H��v�i߆;��_�Gǣ;Z�+��b��v�Am��Ҧ��6� 0 g Author information: (1)Obesity Research Center, St. Luke's/Roosevelt Hospital, Columbia University College of Physicians & Surgeons, New York, NY, USA. /Type /Page The jackknife robustness test is a structured permutation test that systematically excludes one or more observations from the estimation at a time until all observations have been excluded once. >> /A << 1 0 obj /Rect [ 17.01000 693.69000 81.07000 685.69000 ] 11 0 obj >> /URI (www\056cambridge\056org\0579781108415392) /Type /Annot << 6 0 obj /ProcSet [ /Text /PDF /ImageI /ImageC /ImageB ] /F1 46 0 R /Rect [ 17.01000 693.69000 81.07000 685.69000 ] /Resources << /I1 44 0 R /XObject << ET >> /S /URI /MediaBox [ 0 0 430 784.65000 ] 17.01000 687.29000 Td >> f /Annots [ << << /Rect [ 17.01000 693.69000 81.07000 685.69000 ] Robustness Tests for Quantitative Research || The Logic of Robustness Testing Author: Neumayer, Eric Plumper, Thomas Issue Date: 2017 Page: 23-33. /S /URI << 430 679.77000 l /Border [ 0 0 0 ] /URI (www\056cambridge\056org\0579781108415392) f /Resources << >> << /Font << /Parent 1 0 R /I1 44 0 R /Pages 1 0 R /URI (www\056cambridge\056org\0579781108415392) /Subtype /Link /pdfrw_0 121 0 R /Border [ 0 0 0 ] S BT 17 0 obj /Type /Page >> /Type /Annot /Length 13 >> 12 0 obj >> 0.06500 0.37100 0.64200 rg /Count 14 /I1 44 0 R >> /URI (www\056cambridge\056org\0579781108415392) BT First, robustness is not binary, although people (especially people with econ training) often talk about it that way. /Border [ 0 0 0 ] 127.56000 0 0 32.69000 7.09000 744.87000 cm The number of real-time polymerase chain reaction (qPCR) instruments available has greatly increased over recent years. /Subtype /Link /Type /Annot /Annots [ << /XObject << /Resources << /Resources << /pdfrw_0 136 0 R Cambridge University Press 978-1-108-41539-2 â Robustness Tests for Quantitative Research Eric Neumayer, Thomas Plümper Frontmatter More Information Robustness Tests for Quantitative Research The uncertainty researchers face in specifying their estimation models â¦ 0.06500 0.37100 0.64200 RG /Rect [ 17.01000 693.69000 81.07000 685.69000 ] >> /Subtype /Link of Systems Research, Fac. /Contents 58 0 R Q >> /XObject << /I1 44 0 R >> Save up to 80% by choosing the eTextbook option for ISBN: 9781108244121, 1108244122. /Length 1670 /Annots [ << >> 0.57000 w /Rect [ 17.01000 21.01000 191.50000 13.01000 ] /Font << /Type /Annot /Type /Annot First, let's look at the White test. /Rect [ 17.01000 693.69000 81.07000 685.69000 ] /I1 Do q /A << 0.06500 0.37100 0.64200 rg >> /Contents 130 0 R /Rect [ 17.01000 693.69000 81.07000 685.69000 ] /URI (www\056cambridge\056org\0579781108415392) Skip to main content Accessibility help We use cookies to distinguish you from other users and to provide you with a better experience on our websites. This highly accessible book presents the logic of robustness testing, provides an operational definition of robustness that can be applied in all quantitative research, and introduces readers to diverse types of robustness tests. Q /XObject << /Subtype /Form /A << /MediaBox [ 0 0 430 784.65000 ] >> endobj /URI (www\056cambridge\056org\0579781108415392) /MediaBox [ 0 0 430 784.65000 ] /ProcSet [ /Text /PDF /ImageI /ImageC /ImageB ] /Parent 1 0 R /S /URI /Contents 135 0 R >> ] /A << While a number of RV association tests have been proposed, there is a dearth of studies on the robustness of RV association testing for nonnormal distributed traits, e.g., due to skewness, which is ubiquitous in cohort studies. /Border [ 0 0 0 ] /Annots [ << 3 0 obj A Quantitative Test for the Robustness of Graspless Manipulation Yusuke MAEDA Dept. /FormType 1 The White test is one way (of many) of testing for the presence of heteroskedasticity in your regression. /URI (www\056cambridge\056org) In regression analyses of observational data, the 'true model' remains unknown, and researchers face a choice between plausible alternative specifications. >> /A << /A << >> However, little information is available on the performance of validated quantitative methods when tested in different instruments. /Subtype /Link K��.Mq��(c�ˢ��oH�d��l�^Y'�t�� T��CT:?�&70@��&��@��d&� � ��U�}�iX�ܛ&��5P��)P��ϩM��˥�z��1��Q\�*�s cq_7��|��#�?jg��4�s�L��)�1�]5��)��|6[!L��Ǣ�= ��.ԥE��O��T?��x�@�JEY2L7��w�G�N��v�d�V��ۉH��W�k��n��Er�Z�. ET /XObject << >> /I1 44 0 R /ProcSet [ /Text /PDF /ImageI /ImageC /ImageB ] endobj of Mechanical Engineering, /Parent 1 0 R /Font << /Rect [ 17.01000 693.69000 81.07000 685.69000 ] <00460072006f006e0074006d00610074007400650072> Tj Close this message to accept â¦ >> << /Contents 76 0 R /Font << /pdfrw_0 100 0 R /MediaBox [ 0 0 430 784.65000 ] /Subtype /Link /XObject << endstream /S /URI /Border [ 0 0 0 ] /XObject << /ProcSet [ /Text /PDF /ImageI /ImageC /ImageB ] >> /URI (www\056cambridge\056org\0579781108415392) 19 0 obj Q >> /Resources << >> Robustness testing allows researchers to explore the stability of their main estimates to plausible variations in model specifications. /Font << >> 17.01000 698.63000 Td /Type /Page /Border [ 0 0 0 ] 4 0 obj /Resources << of Engineering, Yokohama National University 79-5 Tokiwadai, Hodogaya-ku, Yokohama 240-8501 JAPAN Email: maeda@ynu.ac.jp Satoshi MAKITA Maeda Lab, Dept. Q /Resources << /Resources << /Border [ 0 0 0 ] /A << /Subtype /Link /F1 46 0 R >> << >> << /Rect [ 17.01000 21.01000 191.50000 13.01000 ] endobj >> << Buy Robustness Tests for Quantitative Research (Methodological Tools in the Social Sciences) by Eric Neumayer, Thomas Plümper (ISBN: 9781108401388) from Amazon's Book Store. /Type /Annot /Type /Page /Length 2686 /Subtype /Link /Parent 1 0 R /Kids [ 3 0 R 4 0 R 5 0 R 6 0 R 7 0 R 8 0 R 9 0 R 10 0 R 11 0 R 12 0 R 13 0 R 14 0 R 15 0 R 16 0 R ] /Type /Annot >> >> Skip to main content Accessibility help We use cookies to distinguish you from other users and to provide you with a better experience on our websites. /Border [ 0 0 0 ] /F1 46 0 R /Type /Page /URI (www\056cambridge\056org\0579781108415392) /Border [ 0 0 0 ] ET /Type /Annot /Annots [ << /URI (www\056cambridge\056org) >> f 0.06500 0.37100 0.64200 rg /Subtype /Link /Type /Pages The procedure proposed is based on selecting the critical variables and estimating reliability and false positive and false negative rates. 2 3 ... â¢ Base the sample size calculation on a test of proportions. >> S /URI (www\056cambridge\056org) /F1 46 0 R >> >> >> endobj /Border [ 0 0 0 ] 5 0 obj >> /ProcSet [ /Text /PDF /ImageI /ImageC /ImageB ] /S /URI >> ��,�Щa(��Woټбx�_��4�1��V�6V��J�^V��ʎ��v�ZF^!�I��J��Ա��H�˓��u�w-u��]�p�sq��`cB�"ԉ��l&��ě��`��9ҕ��wH_I�"�� 2ѲgR��:�b�ʦ"HS��.㚰 ��Ŏp��п�6ˈRW.�R��>�(��2��P%�A�`��ш�A*��S��RL kZ�5ܱ��z)�{�OrA�. /ProcSet [ /PDF /Text ] /XObject << /A << Robustness tests offer the currently most promising answer to model uncertainty. /Type /Annot endobj >> >> ] >> >> << >> >> >> This highly accessible book presents the logic of robustness testing, provides an operational definition of robustness that can be applied in all quantitative research, and introduces readers to diverse types of robustness tests. >> /Subtype /Link 141.73000 742.13000 m >> In statistics, the term robust or robustness refers to the strength of a statistical model, tests, and procedures according to the specific conditions of the statistical analysis a study hopes to achieve.Given that these conditions of a study are met, the models can be verified to be true through the use of mathematical proofs. Related; >> ] 2 0 obj /Resources << /Subtype /Link /FullPage Do >> /Resources << << >> f >> >> >> /Border [ 0 0 0 ] /Type /Annot /A << /Annots [ << /F1 46 0 R /Contents 99 0 R /Parent 1 0 R >> /Contents 68 0 R A study has been designed to evaluate the robustness of three validated methods for genetically modified organisms (GMO) â¦ >> 0 31.18000 m stream >> Cambridge University Press 978-1-108-41539-2 â Robustness Tests for Quantitative Research Eric Neumayer , Thomas Plümper Frontmatter More Information. /MediaBox [ 0 0 430 784.65000 ] /Subtype /Link /Border [ 0 0 0 ] This highly accessible book presents the logic of robustness testing, provides an operational definition of robustness that can be applied in all quantitative research, and introduces readers to diverse types of robustness tests. /Border [ 0 0 0 ] /A << 0.99000 w >> /Subtype /Link endobj /Subtype /Link /Annots [ << 2 J endstream /F1 46 0 R >> >> /BBox [ 0 0 430.86600 646.29900 ] /S /URI 17.01000 686.58000 64.06000 -0.39000 re /MediaBox [ 0 0 430 784.65000 ] %PDF-1.3 >> >> /I1 44 0 R ET /Annots [ << >> ] Robustness testing allows researchers to explore the stability of estimates to alternative plausible model specifications. /Contents 90 0 R /S /URI âare the study arms equivalent in terms of the proportions >> /F1 46 0 R 1 1 1 RG /Rect [ 17.01000 21.01000 191.50000 13.01000 ] q 0 784.65000 430 -42.52000 re <004d006f0072006500200049006e0066006f0072006d006100740069006f006e> Tj dba8@columbia.edu Q >> /Rect [ 17.01000 21.01000 191.50000 13.01000 ] /S /URI /Font << >> >> q /MediaBox [ 0 0 430 784.65000 ] /Resources << /MediaBox [ 0 0 430 784.65000 ] /Resources << 1 0 0 1 0 32.50000 cm << %PDF-1.5 /A << 4 0 obj 17.01000 14.61000 Td /Border [ 0 0 0 ] /Border [ 0 0 0 ] <007700770077002e00630061006d006200720069006400670065002e006f00720067> Tj >> ] 13 0 obj 17.01000 709.96000 Td /Type /Annot /Font << /pdfrw_0 91 0 R /F1 46 0 R >> ] Q /A << /ProcSet [ /Text /PDF /ImageI /ImageC /ImageB ] /A << endobj BT << /S /URI <> /Border [ 0 0 0 ] /ProcSet [ /Text /PDF /ImageI /ImageC /ImageB ] /Type /Page /Type /Page /XObject << endobj /Rect [ 17.01000 21.01000 191.50000 13.01000 ] 430 31.18000 l /S /URI /Subtype /Link /URI (www\056cambridge\056org) << /Type /Page /S /URI << /Font << endobj /Rect [ 17.01000 21.01000 191.50000 13.01000 ] /F1 46 0 R BT /Type /Annot /Type /Annot Robustness Tests for Quantitative Research by Eric Neumayer and Publisher Cambridge University Press. >> /Annots [ << >> For robustness check of my main model, can I use: 1) Standard linear 2sls model with a new binary exogenous variable of the endogenous binary independent variable? /A << /Type /Page >> /S /URI >> ] /pdfrw_0 54 0 R /F1 46 0 R Robustness tests have become an integral part of research methodology. /S /URI /Filter /FlateDecode <00450072006900630020004e00650075006d00610079006500720020002c002000540068006f006d0061007300200050006c00fc006d0070006500720020> Tj The print version of this textbook is ISBN: 9781108415392, 1108415393. >> /Type /Annot Heteroskedasticity is when the variance of the error term is related to one of the predictors in the model. >> >> >> /S /URI /URI (www\056cambridge\056org) 0 g /A << BT 10 0 obj >> << /Parent 1 0 R /Annots [ << /S /URI /A << /Font << /Subtype /Link << >> << >> ] /Resources << >> /pdfrw_0 77 0 R /S /URI BT /Rect [ 17.01000 693.69000 81.07000 685.69000 ] /Rect [ 17.01000 21.01000 191.50000 13.01000 ] 17.01000 721.30000 Td /A << /XObject << BT /Contents 107 0 R /Type /Annot /Subtype /Link /Resources << /I1 44 0 R >> ] In this article, we present a practical approach to assessing the robustness of a qualitative method. Robustness Tests for Quantitative Research (Methodological Tools in the Social Sciences), Neumayer, Eric, Plümper, Thomas - Amazon.com Robustness Tests for Quantitative Research (Methodological Tools in the Social Sciences) Kindle Edition by Eric Neumayer (Author), Thomas Plümper (Author) Format: Kindle Edition See all formats and editions /Parent 1 0 R endobj >> >> << /Subtype /Link << <> /Subtype /Link /Type /Annot /ProcSet [ /Text /PDF /ImageI /ImageC /ImageB ] >> /Type /Annot 0 679.77000 m /S /URI /URI (www\056cambridge\056org) q >> ] Robustness testing allows researchers to explore the stability of their main estimates to plausible variations in model specifications. /S /URI >> /URI (www\056cambridge\056org\0579781108415392) /A << This highly accessible book presents the logic of robustness testing, provides an operational definition of robustness that can be applied in all quantitative research, and introduces readers to diverse types of robustness tests. /S /URI >> /ProcSet [ /Text /PDF /ImageI /ImageC /ImageB ] They can identify uncertainties that otherwise slip the attention of empirical researchers. 8 0 obj Find 500+ million publication pages, 20+ million researchers, and 900k+ projects. /URI (www\056cambridge\056org) /pdfrw_0 141 0 R /Subtype /Link /URI (www\056cambridge\056org\0579781108415392) /Type /Page Testing the robustness of the likelihood-ratio test in a variance-component quantitative-trait loci-mapping procedure. endobj >> stream /Producer (PyPDF2) /Type /Page /Parent 1 0 R >> ET /Border [ 0 0 0 ] /Font << <>/Font<>/Pattern<>/XObject<>/ProcSet[/PDF/Text/ImageB/ImageC/ImageI] >>/MediaBox[ 0 0 540 720] /Contents 4 0 R/Group<>/Tabs/S>> /I1 44 0 R /Annots [ << /A << /Matrix [ -1 0 0 -1 430.86600 646.29900 ] >> << endobj /Type /Annot /Contents 53 0 R 17.01000 13.90000 174.50000 -0.39000 re Itâs all a matter of degree; the point, as is often made here, is to model uncertainty, not dispel it. /pdfrw_0 131 0 R /XObject << /Type /Page >> /S /URI >> << 1 0 obj >> stream /Font << /A << >> /MediaBox [ 0 0 430 784.65000 ] /S /URI /Type /XObject The robustness test examines the potential sources of variability in one or a number of responses of the method. /F1 46 0 R << /ProcSet [ /Text /PDF /ImageI /ImageC /ImageB ] q >> /I1 44 0 R /URI (www\056cambridge\056org) /A << >> 18 0 obj /URI (www\056cambridge\056org) /URI (www\056cambridge\056org) /Rect [ 17.01000 693.69000 81.07000 685.69000 ] This book explains why robustness tests help researchers to deal with model uncertainty in quantitative research. /Type /Annot /I1 44 0 R >> /Parent 1 0 R /Type /Annot >> 0.73700 0.74500 0.75300 rg << /Type /Annot Q /F1 46 0 R >> /Type /Annot /Type /Annot /I1 44 0 R Q /S /URI /S /URI >> /Subtype /Form /Rect [ 17.01000 693.69000 81.07000 685.69000 ] /F1 46 0 R 1 Power and robustness of linkage tests for quantitative traits in general pedigrees Wei-Min Chen1, Karl W. Broman1, and Kung-Yee Liang1,2 1Department of Biostatistics, Johns Hopkins University, Baltimore, MD 2Division of Biostatistics and Bioinformatics, National Health Research Institutes, Taipei, Taiwan Running title: Robust quantitative trait linkage >> /XObject << /Type /Page endobj /A << >> /F1 8 Tf >> Q Quantitative Approaches for Estimating Sample Size for Qualitative Research in COA ... Robustness and measurement saturation. stream /Rect [ 17.01000 693.69000 81.07000 685.69000 ] >> /Contents 145 0 R Cambridge University Press >> << Robustness tests allow to study the influence of arbitrary specification assumptions on estimates. /Border [ 0 0 0 ] 14 0 obj /pdfrw_0 19 0 R /URI (www\056cambridge\056org) >> >> << /BBox [ 0 0 430.87000 646.30000 ] 330.79000 14.17000 Td /I1 44 0 R Allison DB(1), Neale MC, Zannolli R, Schork NJ, Amos CI, Blangero J. /Parent 1 0 R /Border [ 0 0 0 ] >> endobj /Subtype /Link Cambridge Core - Research Methods in Sociology and Criminology - Robustness Tests for Quantitative Research - by Eric Neumayer. /Resources << /Type /Annot >> /Subtype /Link /S /URI >> /pdfrw_0 126 0 R endobj <>