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Now in its Seventh Edition, Neil J. Salkind's bestselling
Statistics for People Who (Think They) Hate Statistics with new
co-author Bruce B. Frey teaches an often intimidating subject with
a humorous, personable, and informative approach that reduces
statistics anxiety. With instruction in SPSS(R), the authors guide
students through basic and advanced statistical procedures, from
correlation and graph creation to analysis of variance, regression,
non-parametric tests, and more. The Seventh Edition includes new
real-world examples, additional coverage on multiple regression and
power and effect size, and a robust interactive eBook with video
tutorials and animations of key concepts. In the end, students who
(think they) hate statistics will understand how to explain the
results of many statistical analyses and won't be intimidated by
basic statistical tasks.
This Fifth Edition of Neil J. Salkind's Statistics for People Who
(Think They) Hate Statistics: Using Microsoft Excel, presents an
often intimidating and difficult subject in a way that is clear,
informative, and personable. Opening with an introduction to Excel,
including coverage of how to use functions and formulas, this
edition shows students how to install the Excel Data Analysis Tools
option to access a host of useful analytical techniques. New to the
Fifth Edition is new co-author Bruce Frey who has added a new
feature on statisticians throughout history (with a focus on the
contributions of women and people of color). He has updated the
"Real-World Stats" feature, and added more on effect sizes, updated
the discussions on hypotheses, measurement concepts like validity
and reliability, and has more closely tied analytical choices to
the level of measurement of variables.
Modern Classroom Assessment offers an applied, student- centered
guide to the major research-based approaches to assessment in
today's modern classroom. Rather than simply list basic assessment
formats with a few examples, as many textbooks do, award-winning
professor and scholar Bruce Frey's book fully explores all five key
approaches for teacher-designed assessment-Traditional
Paper-and-Pencil, Performance-Based Assessment, Formative
Assessment, Universal Test Design, and Authentic Assessment -while
making abstract concepts and guidelines clear with hundreds of
real-world illustrations and examples of what actual teachers do.
Offering a variety of engaging learning tools and realistic stories
from the classroom, this text will give any reader a strong
foundation for designing modern assessments in their own
classrooms.
With a signature, conversational writing style and straightforward
presentation, Neil J. Salkind's best-selling Tests &
Measurement for People Who (Think They) Hate Tests &
Measurement guides readers through an overview of categories of
tests, the design of tests, the use of tests, and some of the basic
social, political, and legal issues that the process of testing
involves. New co-author Bruce B. Frey has streamlined the table of
contents for ease of use; added more content on validity and
reliability throughout; more closely connected standardized tests
to classroom instruction, adding more on classroom assessment; and
added a chapter on surveys and scale development. An instructor
website includes a test bank and PowerPoint slides.
This Study Guide for introductory statistics courses in health and
nursing departments is designed to accompany Salkind and Frey's
Statistics for People Who (Think They) Hate Statistics, Seventh
Edition. Extra exercises; activities; and true/false, multiple
choice, and essay questions (with answers to all questions) feature
health-specific content to help further student mastery of text
concepts. Also included on the open-access study site at
edge.sagepub.com/salkindfrey7e are SPSS datafiles containing survey
data from health students, which are used for the exercises in the
Study Guide. Data were generated for instruction purposes, and
topics cover a range of health-related questions that are pertinent
to health students, including the number of hours spent exercising
per week, smoking status, number of hours slept per week, number of
alcoholic beverages consumed per week, and sources of worry. The
database includes 22 variables.
The SAGE Encyclopedia of Research Design maps out how one makes
decisions about research design, interprets data, and draws valid
inferences, undertakes research projects in an ethical manner, and
evaluates experimental design strategies and results. From A-to-Z,
this four-volume work covers the spectrum of research design
strategies and topics including, among other things: fundamental
research design principles, ethics in the research process,
quantitative versus qualitative and mixed-method designs,
completely randomized designs, multiple comparison tests,
diagnosing agreement between data and models, fundamental
assumptions in analysis of variance, factorial treatment designs,
complete and incomplete block designs, Latin square and related
designs, hierarchical designs, response surface designs, split-plot
designs, repeated measures designs, crossover designs, analysis of
covariance, statistical software packages, and much more. Research
design, with its statistical underpinnings, can be especially
daunting for students and novice researchers. At its heart,
research design might be described simply as a formalized approach
toward problem solving, thinking, and acquiring knowledge, the
success of which depends upon clearly defined objectives and
appropriate choice of statistical design and analysis to meet those
objectives. The SAGE Encyclopedia of Research Design will
assist students and researchers with their work while providing
vital information on research strategies.
This Study Guide for introductory statistics courses in education
departments is designed to accompany Neil J. Salkind and Bruce B.
Frey's best-selling Statistics for People Who (Think They) Hate
Statistics, Seventh Edition. Extra exercises; activities; and
true/false, multiple choice, and essay questions (with answers to
all questions) feature education-specific content to help further
student mastery of text concepts. A dataset is provided for use
with the book.
In an era of curricular changes, experiments, and high-stakes
testing, educational measurement and evaluation are more important
than ever. In addition to expected entries covering the basics of
traditional theories and methods, The SAGE Encyclopedia of
Educational Research, Measurement, and Evaluation also covers
important sociopolitical issues and trends influencing the future
of that research and practice. Textbooks, handbooks, monographs,
and other publications focus on various aspects of educational
research, measurement, and evaluation, but to date, there exists no
major reference guide for students new to the field. This
comprehensive work fills that gap, covering traditional areas while
pointing the way to future developments. Key Features: Nearly 700
signed entries are contained in an authoritative work spanning four
volumes and available in electronic and/or print formats. Although
organized A-to-Z, front matter includes a Reader's Guide grouping
entries thematically to help students interested in a specific
aspect of education research, measurement, and evaluation to more
easily locate directly related entries. Back matter includes a
Chronology of the development of the field; a Resource Guide to
classic books, journals, and associations; and a detailed Index.
Entries conclude with Further Readings and cross-references to
related entries. The Index, Reader's Guide themes, and
cross-references combine to provide a robust search-and-browse in
the electronic version.
Bruce Frey's There's a Stat for That! is a brief, straightforward,
and to-the-point guide to deciding which statistical analysis to
use and when to use it. Designed for consultants, researchers,
students, and those who already have the resources to tell them how
to perform the analyses, this text explains why a particular
statistical approach is the right one to use. The book affirms that
regardless of the group design, once the variables are chosen and
the measurement strategy is worked out, one can rest assured that
there is a stat for that!
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