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Browse all content available on SAGE Research Methods by title. Use the menu on the right hand side of the page to filter by content type.

Showing 1-6 of 6 items
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  1. Nonrecursive Models: Endogeneity, Reciprocal Relationships, and Feedback Loops

    Nonrecursive Models: Endogeneity, Reciprocal Relationships, and Feedback Loops

    Pamela Paxton, John R. Hipp & Sandra Marquart-Pyatt

    (2011)

    A clear and concise introduction to the estimation and assessment of nonrecursive simultaneous equation models. This unique monograph gives practical advice on the specification and identification of simultaneous equation models, how to assess the quality of the estimates, and how to ...

    DOI: http://dx.doi.org/10.4135/9781452226514

    Methods: Simultaneous equations , Structural equation modelling (SEM) , Quantitative data analysis , Exogenous variables , Endogenous variables

  2. Nonparametric Simple Regression

    Nonparametric Simple Regression

    John Fox

    (2000)

    While regression analysis traces the dependence of the distribution of a response variable to see if it bears a particular (linear) relationship to one or more of the predictors, nonparametric regression analysis makes minimal assumptions about the form of relationship between the ave...

    DOI: http://dx.doi.org/10.4135/9781412985307

    Methods: Time-series analysis , Nonparametric statistics , Regression analysis , Regression

  3. Neural Networks

    Neural Networks

    Hervé Abdi, Dominique Valentin & Betty Edelman

    (1999)

    Neural networks, adaptive statistical models based on an analogy with the structure of the brain, can be used to estimate the parameters of some population using one (or a few) exemplars at a time. This book introduces ...

    DOI: http://dx.doi.org/10.4135/9781412985277

    Methods: Memory

  4. Nonparametric Measures of Association

    Nonparametric Measures of Association

    Jean Dickinson Gibbons

    (1993)

    When analyzing data, how should the relationship between two or more sets of observations be described, that is, values of two or more variables, when the variables are ordinal and not bivariate normal? Aimed at helping the researcher ...

    DOI: http://dx.doi.org/10.4135/9781412985291

    Methods: Pearson's correlation coefficient , Nonparametric tests , Spearman's rank order correlation , Correlation , Kendall's rank correlation

  5. Nonparametric Statistics

    Nonparametric Statistics

    Jean Dickinson Gibbons

    (1993)

    Through the use of actual research investigations that have appeared in recent social science journals, Gibbons shows the reader the specific methodology and logical rationale for many of the best-known and most frequently used nonparametric methods that are applicable to most small a...

    DOI: http://dx.doi.org/10.4135/9781412985314

    Methods: Nonparametric statistics , Nonparametric tests , Non-parametric statistics

  6. Nonrecursive Causal Models

    Nonrecursive Causal Models

    William D. Berry

    (1984)

    Where an assumption of unidirectionality in causal effects is unrealistic, ‘recursive’ models cannot be used, and more complex ‘nonrecursive’ models are necessary. Unfortunately, many nonrecursive models (unlike recursive models) are ...

    DOI: http://dx.doi.org/10.4135/9781412985321

    Methods: Causation , Identification , Estimation , Causal models

Showing 1-6 of 6 items

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