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modeling, followed by a discussion of SPSS data management techniques which facilitate working with multilevel, longitudinal, and/or cross;
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with the conceptual and methodological issues associated with multilevel and longitudinal modeling, followed by a discussion of SPSS data;
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with the conceptual and methodological issues associated with multilevel and longitudinal modeling, followed by a discussion of SPSS data;
Vergelijkbare producten zoals Multilevel and Longitudinal Modeling with IBM SPSS
fields. An excellent follow up to the authors' highly successful Multilevel and Longitudinal Modeling with IBM SPSS and Introduction to;
Vergelijkbare producten zoals Multilevel Modeling of Categorical Outcomes Using IBM SPSS
fields. An excellent follow up to the authors' highly successful Multilevel and Longitudinal Modeling with IBM SPSS and Introduction to;
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(formerly SPSS) to better analyze data. This book offers clear and concise explanations and examples of advanced statistical procedures in the PASW;
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) * Longitudinal Modeling using multilevel and SEM techniques * Combining organizational and longitudinal models Part of The SAGE;
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Multilevel Modeling is a concise, practical guide to building models for multilevel and longitudinal data. Author Douglas A. Luke begins by;
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, behavioural, health, and social sciences disciplines. Multilevel data analysis exploits data structures that cannot be adequately investigated using;
Vergelijkbare producten zoals An Introduction to Multilevel Modeling Techniques
, behavioural, health, and social sciences disciplines. Multilevel data analysis exploits data structures that cannot be adequately investigated using;
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Multilevel Modeling: Applications in STATA (R), IBM (R) SPSS (R), SAS (R), R & HLM (TM) provides a gentle, hands-on illustration of the;
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The best-selling guide to SPSS (or PASW Statistics, as it will now also be known) written specifically for psychology students returns for;
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The PASW Statistics 18 Guide to Data Analysis is a friendly introduction to both data analysis and PASW Statistics 18 (formerly SPSS;
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IBM SPSS PASW Statistics - kortweg SPSS - is verreweg het meest gebruikte statistische programma ter wereld. Het Basishandboek SPSS 18;
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models and explain how to fit these models using R. They then show how to employ multilevel modeling with longitudinal data and demonstrate the;
Vergelijkbare producten zoals Multilevel Modeling Using R
models and explain how to fit these models using R. They then show how to employ multilevel modeling with longitudinal data and demonstrate the;
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This book focuses on the practical issues and approaches to handling longitudinal and multilevel data. All data sets and the corresponding;
Vergelijkbare producten zoals Modeling Longitudinal and Multilevel Data
This book focuses on the practical issues and approaches to handling longitudinal and multilevel data. All data sets and the corresponding;
Vergelijkbare producten zoals Modeling Longitudinal and Multilevel Data
-building process. The core longitudinal models and their extensions are presented within a multilevel modeling framework, paying careful attention;
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-building process. The core longitudinal models and their extensions are presented within a multilevel modeling framework, paying careful attention;
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analysis, dynamic factor analysis, partial least squares and structural equation modeling, multilevel data analysis, modeling of longitudinal data;
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models and examples are discussed in non-technical terms with an emphasis on understanding the methodological and statistical issues involved;
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will continue to be useful to readers with previous versions (SPSS 16 and earlier).Each statistical technique is presented;
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field to address the latest applications of multilevel modeling as well as the specific difficulties and methodological problems that are;
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This book offers a complete, practical guide to doing an intensive longitudinal study with individuals, dyads, or groups. It provides the;
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analysis, dynamic factor analysis, partial least squares and structural equation modeling, multilevel data analysis, modeling of longitudinal data;
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