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Handbook in Research and Evaluation: A Collection of Principles, Methods, and Strategies Useful in the Planning, Design, and Evaluation of Studies in Education and the Behavioral sciences

by: Isaac, Stephen; Michael, William

Handbook in Research and Evaluation: A Collection of Principles, Methods, and Strategies Useful in the Planning, Design, and Evaluation of Studies in Education and the Behavioral sciences

by: Isaac, Stephen; Michael, William

ISBN 13:
9780912736327
ISBN 10:
0912736321
Edition: 3rd
Format: Paperback
Copyright: 03/01/1995
Publisher: Edits Pub

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Educational Inquiry

(7)

Characteristics of scientific inquiry

(1)

Three modes of educational inquiry

(4)

References

(1)

Planning Evaluation Studies

(28)

Research and evaluation-two disciplines

(2)

Program evaluation in a nutshell

(2)

Models for program evaluation

(1)

The CIPP model

(8)

Metfessel-Michael paradigm for evaluation of school programs

(4)

Needs assessment

(2)

Practical Guidelines to Needs Assessment

(6)

References

(3)

Planning Research Studies

(10)

Formulation of the problem

(1)

Steps in preparing a research investigation

(1)

Ten steps in planning good research

(1)

Advantages of a pilot study

(1)

Common mistakes made by graduate students

(5)

Planning for computer analysis and data processing

(1)

References

(1)

Guide to Traditional Research Designs, Methods, and Strategies

(60)

Nine basic methods of research

(2)

Basic steps in the planning and conduct of research

(1)

Historical research

(2)

Descriptive research

(1)

Developmental research

(1)

Case and field study research

(1)

Correlational research

(1)

Causal-comparative research

(2)

True experimental research

(2)

Quasi-experimental research

(1)

Action research

(1)

Differences among formal educational research, action research, and the casual approach to problem solving

(3)

Cohort analysis

(1)

Single subject experiments

(3)

Overview: internal and external validity in an experimental design

(1)

Internal validity

(2)

External validity

(1)

Examples of eight experimental designs

(1)

A ``poor'' research design: the ``one-shot case study''

(1)

Design 2-One-group pretest-posttest design

(1)

Design 4-Randomized control-group pretest-posttest design

(2)

Design 5-Randomized Solomon four-group design

(1)

Design 6-Randomized control-group posttest only design

(1)

Design 10-Nonrandomized control-group pretest-posttest design

(1)

Design 11-Counterbalanced design

(1)

Design 7-One-group time-series design

(1)

Design 14-Control-group time-series design

(1)

Factors jeopardizing the validity of experimental designs

(1)

An extension of the work of Campbell and Stanley

(2)

Factorial designs

(1)

The 2 x 2 factorial design

(1)

Extended factorial designs

(1)

Additional concerns, strategies, and pitfalls in the design of research

(1)

Control-a key concept in experimental design

(1)

Confounding and cancellation of effects: two pitfalls of interaction

(1)

Generalizability of research findings

(1)

Interaction between variables

(1)

Some common sources of error

(2)

Making meaningful comparisons

(3)

Reactive versus nonreactive measures

(2)

Measurement: single versus multiple outcomes-triangulation

(1)

Statistical regression effects

(1)

Short-term and long-term studies

(1)

Five points about research design

100

(1)

Two statistical points

100

(1)

Large samples versus small samples

101

(1)

Individual differences

102

(1)

Matching as a control technique: some disadvantages

103

(1)

References

104

(1)

Instrumentation and Measurement

105

(58)

A form for evaluating tests

106

(1)

Chart comparing various test scores

107

(1)

Interpreting test scores

108

(5)

Reference populations-norm groups

113

(1)

Comparing norm-referenced with criterion-referenced tests

113

(3)

References

116

(1)

The relationship between type of test and classroom instruction

116

(1)

Performance-based (authentic) assessment

117

(2)

The Rasch Scaling Model

119

(2)

References

121

(1)

The Delphi Technique (reaching group consensus individually)

122

(1)

References

123

(1)

Item analysis

123

(1)

References

124

(1)

Three types of validity

125

(1)

Test Item Bias

126

(1)

Reference

127

(1)

Validity

128

(3)

References

131

(3)

Reliability

134

(2)

References

136

(1)

Survey design and techniques for school-related use

136

(4)

References

140

(1)

The mailed questionnaire

141

(4)

The research interview

145

(3)

Attitude scaling

148

(2)

References

150

(1)

Graphic rating scales

150

(2)

The semantic differential

152

(4)

Kinds of tests and measurements commonly used

156

(1)

The role of measurement in program evaluation: some perspectives

156

(2)

Multiple criterion measures for evaluation of school programs: Metfessel and Michael

158

(5)

Statistical Techniques and the Analysis of Data

163

(54)

Overview of statistical methods

164

(1)

Measures of central tendency and variability

165

(1)

Frequency distribution

166

(2)

Scatter diagrams, scattergrams, scatter plots

168

(1)

The analysis of crossbreaks

169

(1)

Computing Guide 1-Determining percentile equivalents graphically

170

(2)

Computing Guide 2-Determining the mean and standard deviation for ungrouped data

172

(1)

Computing Guide 3-Determining the mean and standard deviation for grouped data

173

(1)

Appropriate correlational techniques for different forms of variables

174

(1)

References

175

(1)

Computing Guide 4-The product-moment correlation coefficient (Pearson r)

176

(1)

Computing Guide 5-Rank-difference correlation (Spearman rho)

177

(1)

Computing Guide 6-The point-biserial correlation coefficient for data where one variable is a true dichotomy and the other variable is continuously distributed

178

(1)

Computing Guide 7-Use of the Spearman-Brown formula to estimate reliability after a test is lengthened or shortened

179

(1)

Computing Guide 8-Hypothetical item score matrix of 10 examinees (A, B,..., J) in a four-item total test preliminary to obtaining an internal-consistency estimate of reliability

179

(1)

Computing Guide 9-Hypothetical item score matrix of 8 examinees (A, B,..., H) in a five-item attitude scale involving five levels of response (1, 2, 3, 4, or 5) preliminary to obtaining an internal-consistency estimate of reliability

180

(1)

Computing Guide 10-The z test, or critical ratio, to determine a significant difference between two sample means, (large samples)

181

(2)

Computing Guide 11-The t test, or critical ratio, to determine a significant difference between two sample means, (satisfactory for large samples; particularly appropriate for small samples)

183

(1)

Chi square

184

(1)

Computing Guide 12-Chi square for a 2 x 2 table

185

(1)

Computing Guide 13-Median test for a difference between two medians

186

(1)

Computing Guide 14-Chi square for categories exceeding a 2 x 2 table

187

(2)

Analysis of variance

189

(2)

Analysis of covariance

191

(1)

Analysis of variance and covariance and computer programs

191

(1)

Multivariate statistical procedures

191

(1)

Hypothesis testing and statistical significance

192

(4)

The search for promising practices: avoiding the Type II error

196

(1)

Sampling

197

(5)

Ways of interpreting correlation coefficients

202

(4)

The problem of hits and misses in predictive validity

206

(2)

Meta-analysis and effect size

208

(2)

Multivariate statistical procedures

210

(1)

Multiple regression analysis

210

(1)

Discriminant function analysis

210

(1)

Canonical analysis

211

(1)

Factor analysis

212

(1)

General references in statistics

213

(1)

Experimental design

213

(1)

Multivariate statistical procedures

214

(3)

Naturalistic/Qualitative Evaluation Methodology

217

(8)

Naturalistic, ethnographic, and qualitative research methods defined

218

(1)

Traditional and naturalistic methodologies compared

218

(1)

Fifteen attributes of naturalistic inquiry

219

(2)

Building trustworthiness into naturalistic studies

221

(1)

Overview of naturalistic criteria

222

(1)

Purposeful sampling

223

(1)

References

224

(1)

Stating Cognitive and Affective Objectives

225

(12)

Writing behavioral objectives

225

(3)

Summary of the taxonomy of educational objectives-cognitive & affective domains

228

(7)

Reference

235

(2)

Criteria and Guidelines for Planning, Preparing, Writing, and Evaluating the Research Proposal, Report, Thesis, or Article

237

(10)

Form for the evaluation of an article

238

(1)

A research proposal: a checklist of items for possible inclusion

239

(2)

Criteria for evaluation of a research report, article, or thesis

241

(3)

Research methodology-a dissenting view

244

(1)

References

245

(2)

Appendix of Statistical Tables

247

(6)

INDICES, Author and Subject

253

Amazon no longer offers textbook rentals. We do!

Handbook in Research and Evaluation: A Collection of Principles, Methods, and Strategies Useful in the Planning, Design, and Evaluation of Studies in Education and the Behavioral sciences

Handbook in Research and Evaluation: A Collection of Principles, Methods, and Strategies Useful in the Planning, Design, and Evaluation of Studies in Education and the Behavioral sciences

9780912736327

0912736321

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