Impact Analysis for Program Evaluation de Lawrence B. Mohr - 1995

SAGE Publications, Incorporated. Used - Good. Former library book; may include library markings. Used book that is in clean, average condition without any missing pages.

UsedVeryGood. There is a signature or handwriting on the inside front cover. Slight sun fading, however, pages are clean! They may be stickers or sticker residue on the cover. This is a paperback copy Fast Shipping - Each order powers our free bookstore in Chicago and sending books to Africa!

SAGE Publications, Inc. Used - Good. Good condition. 2nd edition. A copy that has been read but remains intact. May contain markings such as bookplates, stamps, limited notes and highlighting, or a few light stains.

Paperback. Like New.

SAGE Publications, Inc, 1995-09-07. 1. paperback. Used: Good.

SAGE Publications, Incorporated. Used - Very Good. Ships from the UK. Former library book; may include library markings. Used book that is in excellent condition. May show signs of wear or have minor defects.

Acceptable. IMP: Acceptable- Do not include ACCESS CODE, CD-ROM or companion materials even if stated in item title. It may contain highlighting/markings throughout, and the covers and corners may show shelf wear. Corners, pages may be dent. All text is legible.

Good. IMP: Used Good- Used items do not include CD-ROM, ACCESS CODE or companion materials, regardless of what is stated in item title. We ship from multiple locations. Prompt customer service.

paperback. Good. Access codes and supplements are not guaranteed with used items. May be an ex-library book.

Successful in the first edition for its integration of multiple regression with evaluation design and for its systematic ways to select the proper goals for single - and multiple- outcome evaluations, this new edition is more helpful than ever. Impact Analysis for Program Evaluation, Second Edition has been revised to cover new issues and to further clarify the concepts used in impact analysis. It offers expanded coverage and explanation of quasi-experiments, a new section on the theory of impact analysis, updated information on the use of qualitative research for impact analysis, and expanded coverage of significance testing for program evaluation. It also includes an explanation of why the comparative-change design (i.e., Campbell and Stanley′s "nonequivalent control group" design) is better than an ex post facto design from the standpoint of causal inference.