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E-raamat: Measurement and Statistics for Teachers

(University of Pittsburgh at Johnstown, USA)
  • Formaat: 306 pages
  • Ilmumisaeg: 25-May-2017
  • Kirjastus: Routledge
  • Keel: eng
  • ISBN-13: 9781315464763
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  • Formaat: 306 pages
  • Ilmumisaeg: 25-May-2017
  • Kirjastus: Routledge
  • Keel: eng
  • ISBN-13: 9781315464763

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Measurement and Statistics for Teachers deftly combines descriptive statistics and measurement in the classroom into a student-friendly, practical volume. Based on a course taught by the author for the past 25 years, this book offers to undergraduate education students a clear account of the basic issues in measurement and details best practices for administering performance assessments, interpreting test scores, and evaluating student writing. This second edition includes updated pedagogical features, timely discussions of student assessment, and state standards (including NCLB), and an expanded focus that incorporates the needs of Early Childhood, Elementary, and Secondary teachers.

Arvustused

Praise for the first edition:

"Contemporary students are certain to be among the most tested of any generation, something unlikely to change in the next few years. Consequently, Van Blerkoms discussion of measurement and statistical concepts makes good sense . . . discussing a variety of formal and informal testing issues. They will be helpful to educators and the interested public."

--CHOICE, August 2009, Vol. 46 No. 11

Preface xvii
Acknowledgments xx
Part I: Measurement 1(202)
Section I: Basic Issues of Measurement
3(62)
1 Introduction to Measurement
5(10)
Introduction
5(1)
The Role of Measurement
5(1)
Assessment, Measurement, and Evaluation
5(2)
Assessment
6(1)
Measurement
6(1)
Evaluation
7(1)
Formal vs. Informal Assessment
7(1)
Classroom Assessment
8(3)
Preliminary or Placement Assessment
8(1)
Diagnostic Assessment
9(1)
Formative Assessment
9(1)
Summative Assessment
10(1)
Maximum vs. Typical Performance Measures
11(1)
Uses of Measurement
11(1)
Summary
12(1)
Exercises
12(1)
Spotlight on the Classroom
13(1)
Study Tips: Setting Effective Academic Goals
13(2)
2 Frames of Reference: Interpreting Test Scores
15(12)
Introduction
15(1)
Four Frames of Reference
15(6)
Ability-Referenced Interpretations
15(1)
Growth-Referenced Interpretations
16(2)
Norm-Referenced Interpretations
18(1)
Criterion-Referenced Interpretations
19(1)
A Comparison of Norm-Referenced and Criterion-Referenced Interpretations
20(1)
Choosing a Frame of Reference for Assessment
21(1)
Characteristics of Norm-Referenced and Criterion-Referenced Tests
22(1)
Item Difficulty
22(1)
Number of Items on the Test
23(1)
Summary
23(1)
Exercises
24(1)
Spotlight on the Classroom
24(1)
Study Tips: Time Management
25(2)
3 Developing Objectives
27(11)
Introduction
27(1)
Standards
27(1)
Planning by Using Goals and Objectives
28(2)
Goals vs. Objectives
28(2)
Benjamin Bloom's Taxonomy of Objectives
30(2)
Knowledge-Level Objectives
31(1)
Comprehension-Level Objectives
31(1)
Application-Level Objectives
31(1)
Analysis-Level Objectives
31(1)
Synthesis-Level Objectives
31(1)
Evaluation-Level Objectives
32(1)
Robert Mager's Instructional Objectives
32(1)
Norman Gronlund's Instructional Objectives
33(1)
Robert Gagne's Learning Outcomes
33(2)
Gagne's Categories
34(1)
Using Objectives
35(1)
Summary
36(1)
Exercises
36(1)
Spotlight on the Classroom
37(1)
4 Reliability
38(17)
Introduction
38(1)
What is Reliability?
38(4)
Theoretical Model of Reliability
38(4)
Computing Reliability
42(1)
Reliability and Validity
43(1)
Estimating Reliability
44(5)
Test-Retest Reliability
45(1)
Alternate-Form Reliability
45(1)
Internal Consistency Reliability
46(3)
Interpreting Reliabilities
49(1)
Improving Test Reliability
50(2)
Reducing Subject Effects
50(1)
Reducing Test Effects
51(1)
Reducing Environmental Effects
52(1)
Some Final Comments About Reliability
52(1)
Summary
53(1)
Exercises
53(1)
Spotlight on the Classroom
53(2)
5 Validity
55(10)
Introduction
55(1)
Perspectives on Validity
55(7)
Content-Related Evidence of Validity
56(3)
Criterion-Related Evidence of Validity
59(2)
Construct-Related Evidence of Validity
61(1)
Which Perspective is the Most Important?
61(1)
Reliability and Validity
62(1)
Summary
63(1)
Exercises
63(1)
Spotlight on the Classroom
64(1)
Section II: Classroom Testing
65(66)
6 Completion and Short-Answer Items
67(9)
Introduction
67(1)
Short-Answer Items
67(1)
Advantages and Limitations of Short-Answer Items
68(2)
Advantages
68(1)
Limitations
69(1)
Attributes Desired in Short-Answer Items
70(3)
Evaluating Short-Answer Items
73(1)
Summary
74(1)
Exercises
75(1)
Spotlight on the Classroom
75(1)
7 Essay Items
76(9)
Introduction
76(1)
Advantages and Limitations of the Essay Format
76(2)
Advantages
76(1)
Limitations
77(1)
Types of Essay Items
78(1)
Scoring Essay Items
79(2)
Holistic Scoring
79(1)
Analytic Scoring
80(1)
General Recommendations for Scoring Essay Answers
80(1)
Attributes Desired in Essay Items
81(1)
Evaluating Essay Items
82(2)
Summary
84(1)
Exercises
84(1)
Spotlight on the Classroom
84(1)
8 Multiple-Choice Items
85(15)
Introduction
85(1)
Advantages and Limitations of Multiple-Choice Items
85(3)
Advantages
85(2)
Limitations
87(1)
Attributes Desired In Multiple-Choice items
88(6)
Evaluating Multiple-Choice Items
94(2)
Various Types of Multiple-Choice Items
96(2)
Matching Items
96(1)
Range-of-Values Items
96(1)
Ranking Options
96(1)
Interpretive Exercises
97(1)
Number of Alternatives
98(1)
Summary
99(1)
Exercises
99(1)
Spotlight on the Classroom
99(1)
9 True-false Items (and Variations)
100(11)
Introduction
100(1)
Advantages and Limitations of True-false Items
100(2)
Advantages
100(1)
Limitations
101(1)
Attributes of Good True-false Items
102(3)
Evaluating True-false Items
105(1)
Variations in the True-false Format
106(3)
True-false With Correction
107(1)
Embedded True-false Items
107(1)
Sequential True-false Items
108(1)
Checklists
108(1)
Summary
109(1)
Exercises
109(1)
Spotlight on the Classroom
109(2)
10 Producing and Administering Tests
111(9)
Introduction
111(1)
Designing a Test
111(4)
Defining the Purpose of the Test
111(1)
Deciding What to Cover on the Test
112(1)
Choosing the Types of Items to Use
112(1)
Choosing the Number of Items to Be Used
112(1)
Choosing the Difficulty Level of the Items
113(1)
Assuring Sufficient Accuracy
113(2)
Producing a Test
115(2)
Preparing the Items
115(1)
Ordering the Items
115(1)
Formatting the Test
116(1)
Preparing Instructions
116(1)
Proofreading
117(1)
Administering the Test
117(1)
Setting Up an Appropriate Testing Environment
117(1)
Summary
118(1)
Exercises
118(1)
Spotlight on the Classroom
119(1)
11 Analyzing Tests
120(11)
Introduction
120(1)
Test Analysis
120(1)
Item Analysis
121(6)
Item Difficulty
121(1)
Item Discrimination
122(2)
Distractor Analysis
124(1)
Item Analysis Practice
125(2)
The Stability of Item Analyses
127(1)
Summary
127(1)
Exercises
128(1)
Spotlight on the Classroom
129(2)
Section III: Alternative Assessment Techniques
131(30)
12 Informal Assessments
133(9)
Introduction
133(1)
What is Informal Assessment?
133(1)
Types of Informal Assessment
134(1)
Informal Observations
134(1)
Questions
134(1)
Characteristics of Informal Assessment
135(2)
Planning for Observations and Questions
137(2)
Choosing Behaviors to Observe
138(1)
The Validity Question
138(1)
The Reliability Question
138(1)
Techniques for Effective Informal Assessment
139(1)
Planning Informal Assessment
139(1)
Use Informal Assessment Frequently
139(1)
Maintain Positive Interactions With Your Students
139(1)
Use the Results of Informal Assessments to Alter Instruction
140(1)
Summary
140(1)
Exercises
140(1)
Spotlight on the Classroom
141(1)
13 Performance Assessments
142(11)
Introduction
142(1)
What are Performance Assessments?
142(1)
Types of Performance Assessments
142(2)
Process versus Product
143(1)
Simulated versus Real Settings
143(1)
Natural versus Structured Settings
143(1)
When are Performance Assessments Appropriate to Use?
144(1)
Advantages and Limitations of Performance Assessments
145(1)
Advantages
145(1)
Limitations
145(1)
Planning and Developing Performance Assessments
146(1)
Tie Assessments to Objectives
146(1)
Measure Important Skills
146(1)
Establish Precise Skills to Measure
146(1)
Focus on Process or Product Only
147(1)
Define the Tasks for the Students
147(1)
Scoring Performance Assessments
147(3)
Checklists
147(1)
Rating Scales
148(2)
Rubrics
150(1)
Summary
151(1)
Exercises
151(1)
Spotlight on the Classroom
152(1)
14 Portfolios
153(8)
Introduction
153(1)
What Makes Portfolios Distinctive?
153(1)
Advantages and Limitations
154(1)
Advantages
154(1)
Limitations
154(1)
Components of Portfolios
155(1)
The List of Goals
155(1)
Work Samples
156(1)
Annotations
156(1)
When is Portfolio Assessment the Most Effective?
156(1)
Helping Students Develop Portfolios
157(1)
Scoring Portfolios
157(1)
The Future of Portfolio Assessment
158(1)
Summary
158(1)
Exercises
158(1)
Spotlight on the Classroom
159(2)
Section IV: Additional Measurement Issues
161(42)
15 Teaching Students Test-Taking Skills
163(8)
Introduction
163(1)
General Test-Taking Strategies
163(3)
Budgeting Time
164(1)
Reading Directions
164(1)
Reading Items Carefully
164(1)
Checking Tests before Turning Them In
165(1)
Test-Taking Strategies for Specific Test Formats
166(2)
Strategies for Short-Answer Tests
166(1)
Strategies for Essay Tests
166(1)
Strategies for Multiple-Choice Tests
167(1)
Strategies for True-false Tests
168(1)
Familiarity with Testing Approaches
168(1)
Approaches to Teaching Test-Taking Skills
169(1)
Summary
169(1)
Exercises
170(1)
Spotlight on the Classroom
170(1)
16 Standardized Tests
171(15)
Introduction
171(1)
General Characteristics of Standardized Tests
171(3)
A Case Study in Developing a Standardized Test
171(2)
Steps in Building a Standardized Test
173(1)
Setting Interpretation Standards
173(1)
Standardized Test Administration
173(1)
Achievement Tests
174(2)
Single-Subject-Area Achievement Tests
174(1)
Survey Batteries
175(1)
Diagnostic Tests
176(1)
Reading Readiness Tests
177(1)
Aptitude Tests
177(3)
Individual Aptitude Tests
178(1)
Group Aptitude Tests
179(1)
Other Types of Standardized Tests
180(1)
Using Standardized Tests Effectively in the Schools
181(1)
Selecting Standardized Tests
181(1)
Making Predictions Based on Test Scores
182(1)
Using Standardized Tests Appropriately
182(1)
The Effects of No Child Left Behind and Other Federal Mandates
182(1)
Summary
183(1)
Exercises
184(1)
Spotlight on the Classroom
184(2)
17 Alternative Ways to Report Test Scores
186(19)
Introduction
186(1)
Percentile Ranks
186(2)
Standardized Scores
188(4)
z-Scores
189(1)
T-Scores
190(1)
SAT Scores
191(1)
Normalized Standard Scores
192(2)
Normal Curve Equivalent Scores
193(1)
Stanines
194(1)
Grade Equivalent Scores
194(1)
Building Confidence Intervals
195(4)
Error Variance
195(1)
Standard Error of Measurement
196(1)
Using the SEM to Build Confidence Intervals
197(1)
Factors Affecting the Width of a Confidence Interval
198(1)
Summary
199(1)
Exercises
199(1)
Spotlight on the Classroom
200(3)
Part II: Descriptive Statistics 203(67)
18 The Language and Logic of Statistics
205(11)
Introduction
205(1)
Basic Language and Logic
205(5)
Constants and Variables
205(1)
Populations and Samples
206(2)
Parameters and Statistics
208(2)
Measurement Scales
210(3)
Categorical Data
210(1)
Ranked Data
210(2)
Numerical Data
212(1)
Discrete Data vs. Continuous Data
212(1)
Summary
213(1)
Exercises
213(2)
Spotlight on the Classroom
215(1)
Study Tips: How to Read a Measurement and Statistics Text
215(1)
19 Frequency Distributions and Graphs
216(15)
Introduction
216(1)
Frequency Distributions
216(5)
Frequencies
216(2)
Proportion and Percentages
218(2)
Grouped Frequency Distributions
220(1)
Graphing Frequency Distributions
221(4)
Bar Charts
222(1)
Pie Charts
222(1)
Histograms
223(1)
Frequency Polygons
224(1)
Forms of Frequency Distributions
225(1)
Cumulative Frequency Distributions
226(2)
Summary
228(1)
Exercises
228(1)
Spotlight on the Classroom
229(1)
Study Tips: How to Take Notes in a Measurement and Statistics Class
230(1)
20 Central Tendency: What Is a Typical Score?
231(14)
Introduction
231(1)
Measures of Central Tendency
231(7)
Mode
231(1)
Median
232(4)
Mean
236(2)
Deviation Scores
238(1)
Characteristics of Central Tendency Measures
239(3)
Stability of Central Tendency Measures
239(1)
Uses of Central Tendency Measures
240(1)
Central Tendency and Form
241(1)
Summary
242(1)
Exercises
242(1)
Central Tendency
242(1)
Spotlight on the Classroom
243(1)
Study Tips: Learning Technical Terminology
243(2)
21 Variability: How Spread Out Are the Scores?
245(11)
Introduction
245(1)
The Variability Question
245(7)
Ranges
246(1)
Variance and Standard Deviation
247(5)
Summary
252(1)
Exercises
253(1)
Variability
253(1)
Spotlight on the Classroom
254(1)
Study Tips: How to Prepare for an Exam
255(1)
22 Correlation
256(14)
Introduction
256(1)
Bivariate Statistics
256(2)
z-Scores
258(2)
Pearson Product-Moment Correlation Coefficient
260(5)
Computational Formula for the PPMC
262(3)
Correlation and Prediction
265(1)
Summary
266(1)
Exercises
266(1)
Spotlight on the Classroom
267(1)
Study Tips: How to Learn From an Exam
268(2)
Appendix 270(10)
References 280(2)
Index 282
Malcolm L. Van Blerkom is Associate Professor of Educational Psychology and former Chairman of the Division of Education at the University of Pittsburgh at Johnstown, USA.