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This is a new edition of one of our best-selling textbooks. The authors have thoroughly updated the fourth edition and included more text on current developments in research practice, action research, developments in ICT, questionnaire design, ethnographic research, conducting needs analysis ...

This is a new edition of one of our best-selling textbooks. The authors have thoroughly updated the fourth edition and included more text on current developments in research practice, action research, developments in ICT, questionnaire design, ethnographic research, conducting needs analysis, constructing and using tests, observational methods, reliability and validity, ethical issues and curriculum research. The entire text has been redesigned to cater for the increasingly sophisticated needs of the educational researcher. The new edition is more comprehensive, up-to-date and user-friendly, with increased accessibility. The authors, who are experienced teachers in the field, have produced a better written book (if that's possible) containing readable and realistic views of research and methodology, and show how to interpret the data.

From some of the leading feminist scholars in education comes a collection of writings discussing how they use feminist poststructural theory in their classrooms and research. Drawing on real-life situations in their work, they show how using this theory has transformed their work. Topics covered ...

From some of the leading feminist scholars in education comes a collection of writings discussing how they use feminist poststructural theory in their classrooms and research. Drawing on real-life situations in their work, they show how using this theory has transformed their work. Topics covered include the following: theory in everyday life, ethnography, writing the body, emotions in the classroom, qualitative research, and "gossip as a counter-discourse." The range of topics, processes, and styles presented provides the reader with a variety of examples, illustrating the diversity and power of the effects of poststructural theory, as well as showing the possibilities of work still to be done.

The authors of this unique text found that while most students can "crunch" the numbers quite easily and accurately with a calculator or computer, many have trouble seeing the "big picture" or seeing how research questions and design influence data analysis. As a result, the authors developed a ...

The authors of this unique text found that while most students can "crunch" the numbers quite easily and accurately with a calculator or computer, many have trouble seeing the "big picture" or seeing how research questions and design influence data analysis. As a result, the authors developed a semantically consistent framework that integrates traditional research approaches (experimental, quasi-experimental, comparative) into three basic kinds of research questions (difference, associational, and descriptive), which, in turn, lead to three kinds or groups of statistics with the same names. This text: *helps students become good consumers of research by demonstrating how to analyze and evaluate research articles; *offers a number of summarizing diagrams and tables that clarify confusing or difficult to learn topics; *points out the value of qualitative research and how it should lead quantitative researchers to be more flexible; *divides all quantitative research questions into five logically consistent categories that help students select appropriate statistics and understand their cause and effect; and *classifies design into three major types: between groups, within subjects, and mixed groups and shows that, although these three types use the same general type of statistics (e.g., ANOVA), the specific statistics in between-groups design are different from those in within-subjects and mixed groups.

The authors of this unique text found that while most students can "crunch" the numbers quite easily and accurately with a calculator or computer, many have trouble seeing the "big picture" or seeing how research questions and design influence data analysis. As a result, the authors developed a ...

The authors of this unique text found that while most students can "crunch" the numbers quite easily and accurately with a calculator or computer, many have trouble seeing the "big picture" or seeing how research questions and design influence data analysis. As a result, the authors developed a semantically consistent framework that integrates traditional research approaches (experimental, quasi-experimental, comparative) into three basic kinds of research questions (difference, associational, and descriptive), which, in turn, lead to three kinds or groups of statistics with the same names. This text: *helps students become good consumers of research by demonstrating how to analyze and evaluate research articles; *offers a number of summarizing diagrams and tables that clarify confusing or difficult to learn topics; *points out the value of qualitative research and how it should lead quantitative researchers to be more flexible; *divides all quantitative research questions into five logically consistent categories that help students select appropriate statistics and understand their cause and effect; and *classifies design into three major types: between groups, within subjects, and mixed groups and shows that, although these three types use the same general type of statistics (e.g., ANOVA), the specific statistics in between-groups design are different from those in within-subjects and mixed groups.