ISBN: 9780226002200 - cross-level inference (13 risultati)

Paperback. Condizione: Good. In the last few years, new disputes have erupted over the use of group averages from census areas or voting districts to draw inferences about individual social behaviour. Social scientists, policy analysts and historians often have little choice about using this kind of data, but statistical analysis of them is fraught with pitfalls. The recent debates have led to a new menu of choices for the applied researcher. This volume explains why older methods like ecological regression so often fail, and it examines the promising new techniques for cross-level inference. Experts in statistical analysis of aggregate data, Christopher H. Achen and W. Phillips Shively, contend that cross-level inference makes unusually strong demands on substantive knowledge, so that no one method, such as Goodman's ecological regression, will fit all situations. Criticizing Goodman's model and some recent attempts to replace it, the authors argue for a range of alternate techniques, including extensions of cross-tabular, regression analysis and unobservable variable estimators.…

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Paperback. Condizione: Good. In the last few years, new disputes have erupted over the use of group averages from census areas or voting districts to draw inferences about individual social behaviour. Social scientists, policy analysts and historians often have little choice about using this kind of data, but statistical analysis of them is fraught with pitfalls. The recent debates have led to a new menu of choices for the applied researcher. This volume explains why older methods like ecological regression so often fail, and it examines the promising new techniques for cross-level inference. Experts in statistical analysis of aggregate data, Christopher H. Achen and W. Phillips Shively, contend that cross-level inference makes unusually strong demands on substantive knowledge, so that no one method, such as Goodman's ecological regression, will fit all situations. Criticizing Goodman's model and some recent attempts to replace it, the authors argue for a range of alternate techniques, including extensions of cross-tabular, regression analysis and unobservable variable estimators.…

Condizione: Very Good. Very Good condition. A copy that may have a few cosmetic defects. May also contain light spine creasing or a few markings such as an owner's name, short gifter's inscription or light stamp.

Condizione: Very Good. Pages intact with possible writing/highlighting. Binding strong with minor wear. Dust jackets/supplements may not be included. Stock photo provided. Product includes identifying sticker. Better World Books: Buy Books. Do Good.

Condizione: Good. Former library copy. Pages intact with minimal writing/highlighting. The binding may be loose and creased. Dust jackets/supplements are not included. Includes library markings. Stock photo provided. Product includes identifying sticker. Better World Books: Buy Books. Do Good.

Paperback. Condizione: Good. No Jacket. Pages can have notes/highlighting. Spine may show signs of wear. ~ ThriftBooks: Read More, Spend Less.

Condizione: New. Brand New.

Condizione: As New. Unread book in perfect condition.

Condizione: New. Explains why methods such as ecological regression so often fail and examines the promising new techniques for cross-level inference. The authors argue for a range of alternate techniques, including extensions of cross-tabular, regression analysis and unobservable variable estimators. Num Pages: 256 pages, 8 figures, 9 halftones. BIC Classification: JHBC. Category: (P) Professional & Vocational; (UP) Postgraduate, Research & Scholarly; (UU) Undergraduate. Dimension: 230 x 152 x 15. Weight in Grams: 360. . 1995. Illustrated. paperback. . . . .…

Condizione: New.

Condizione: New. Explains why methods such as ecological regression so often fail and examines the promising new techniques for cross-level inference. The authors argue for a range of alternate techniques, including extensions of cross-tabular, regression analysis and unobservable variable estimators. Num Pages: 256 pages, 8 figures, 9 halftones. BIC Classification: JHBC. Category: (P) Professional & Vocational; (UP) Postgraduate, Research & Scholarly; (UU) Undergraduate. Dimension: 230 x 152 x 15. Weight in Grams: 360. . 1995. Illustrated. paperback. . . . . Books ship from the US and Ireland.…

Paperback. Condizione: New. In shrink wrap. Looks like an interesting title.