Psychometrics: an introduction
Gespeichert in:
| Hauptverfasser: | , |
|---|---|
| Format: | Buch |
| Sprache: | English |
| Veröffentlicht: |
Los Angeles [u.a.]
Sage Publ.
2008
|
| Schlagworte: | |
| Online-Zugang: | Contributor biographical information Publisher description Table of contents only Inhaltsverzeichnis Klappentext |
| Beschreibung: | Includes bibliographical references (p. 335-342) and index |
| Beschreibung: | XVI, 349 S. graph. Darst. 27 cm |
| ISBN: | 9781412927604 1412927609 |
Internformat
MARC
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| 100 | 1 | |a Furr, R. Michael |e Verfasser |4 aut | |
| 245 | 1 | 0 | |a Psychometrics |b an introduction |c R. Michael Furr ; Verne R. Bacharach |
| 264 | 1 | |a Los Angeles [u.a.] |b Sage Publ. |c 2008 | |
| 300 | |a XVI, 349 S. |b graph. Darst. |c 27 cm | ||
| 336 | |b txt |2 rdacontent | ||
| 337 | |b n |2 rdamedia | ||
| 338 | |b nc |2 rdacarrier | ||
| 500 | |a Includes bibliographical references (p. 335-342) and index | ||
| 650 | 7 | |a Psychometrie |2 gtt | |
| 650 | 4 | |a Psychométrie | |
| 650 | 4 | |a Psychometrics | |
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| 689 | 0 | |5 DE-604 | |
| 700 | 1 | |a Bacharach, Verne R. |e Verfasser |4 aut | |
| 856 | 4 | |u http://www.loc.gov/catdir/enhancements/fy0808/2007016663-b.html |3 Contributor biographical information | |
| 856 | 4 | |u http://www.loc.gov/catdir/enhancements/fy0808/2007016663-d.html |3 Publisher description | |
| 856 | 4 | |u http://www.loc.gov/catdir/enhancements/fy0808/2007016663-t.html |3 Table of contents only | |
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Datensatz im Suchindex
| _version_ | 1804137575220248576 |
|---|---|
| adam_text | Contents
Preface
xi
The Conceptual Orientation of This Book and the
Intended Audience
xi
Organizational Overview
xii
Acknowledgments
xv
Chapter
1.
Psychometrics and the Importance of
Psychological Measurement
1
Observable Behavior and Unobservable Psychological Attributes
3
Psychological Tests: Definition and Types
5
What Is a Psychological Test?
5
Types of Tests
6
Psychometrics
8
What Is Psychometrics?
8
Francis
Galten
and the Scope of Psychometrics
9
Challenges to Measurement in Psychology
10
Theme: The Importance of Individual Differences
14
Suggested Readings
14
PART I. BASIC CONCEPTS IN MEASUREMENT
Chapter
2.
Scaling
17
Fundamental Issues With Numbers
1
8
The Property of Identity
18
The Property of Order
19
The Property of Quantity
20
The Number Zero
20
Units of Measurement
22
Additivity and Counting
24
Additivity
24
Counts: When Do They Qualify as Measurement?
25
Four Scales of Measurement
26
Nominal Scales
27
Ordinal Scales
27
Interval
Scales
28
Ratio
Scales
28
Additional Issues Regarding Scales of Measurement
29
Summary
30
Suggested Readings
30
Chapter
3.
Individual Differences and Correlations
31
The Nature of Variability
31
Importance of Individual Differences
32
Variability and Distributions of Scores
33
Central Tendency
34
Variability
35
Distribution Shapes and Normal Distributions
39
Quantifying the Association Between Distributions
41
Interpreting the Association Between Two Variables
41
Covariance
42
Correlation
44
Variance for Composite Variables
45
Binary Items
46
Interpreting Test Scores
48
z
Scores (Standard Scores)
50
Converted Standard Scores (Standardized Scores)
53
Percentik
Ranks
54
Normalized Scores
55
Test Norms
57
Representativeness of the Reference Sample
58
Summary
59
Suggested Readings
60
Chapter
4.
Test Dimensionality and Factor Analysis
61
Test Dimensionality
62
Unidimensional
Tests
64
Multidimensional Tests With Correlated Dimensions
(Tests With Higher-Order Factors)
66
Multidimensional Tests With Uncorrelated Dimensions
68
The Psychological Meaning of Test Dimensions
68
Factor Analysis: Examining the Dimensionality of a Test
69
The Logic and Purpose of Factor Analysis
69
The Results of Factor Analysis
71
Summary
77
Suggested Readings
77
PART II. RELIABILITY
Chapter
5.
Reliability: Conceptual Basis
81
Overview of Reliability and Classical Test Theory
82
Observed Scores, True Scores, and Measurement Error
84
Variances in Observed Scores, True Scores, and Error Scores
87
Four Ways to Think of Reliability
89
Reliability as the Ratio of True Score Variance to
Observed Score Variance
90
Lack of Error Variance
9
1
The (Squared) Correlation Between Observed
Scores and True Scores
93
Lack of (Squared) Correlation Between Observed
Scores and Error Scores
95
Reliability and the Standard Error of Measurement
97
Parallel Tests
99
Domain Sampling Theory
101
Summary
102
Suggested Readings
103
Chapter
6.
Empirical Estimates of Reliability
104
Alternate Forms Reliability
105
Test-Retest Reliability
108
Internal Consistency Reliability
111
Split-Half Estimates of Reliability
111
Raw Coefficient Alpha
115
Standardized Coefficient Alpha
117
Raw Alpha for Binary Items: KR ,0
119
Accuracy and Use of Internal Consistency
Estimates of Reliability: Theory and Reality
120
Internal Consistency Versus Dimensionality
122
Factors Affecting the Reliability of Test Scores
123
Sample Homogeneity and Reliability Generalization
130
Reliability of Difference Scores
131
Tests on Different Metrics and the Need to Standardize
Scores
135
A Different Type of Difference Score
13 8
Difference Scores
—
Summary and Caution
138
Summary
138
Suggested Readings
139
Chapter
7.
Importance of Reliability
141
Behavioral Research
141
Reliability, True Correlations, and Observed Correlations
141
Measurement Error (Low Reliability) Attenuates the
Correlation Between Measures
144
Reliability and Attenuation: Implications for Research
147
Applied Behavioral Practice: Evaluation of an Individual s
TestScore
151
Point Estimates of True Scores
152
True Score Confidence Intervals
155
Test Construction and Refinement
158
Item Discrimination and Other Information Regarding
Internal Consistency
159
Item Difficulty (Mean) and Item Variance
163
Summary
164
Suggested Readings
164
PART III. VALIDITY
Chapter
8.
Validity: Conceptual Basis
167
What Is Validity?
168
Validity Evidence: Test Content
172
Threats to Content Validity
172
Content Validity Versus Face Validity
173
Validity Evidence: Internal Structure of the Test
174
Validity Evidence: Response Processes
177
Validity Evidence: Associations With Other Variables
179
Validity Evidence: Consequences of Testing
182
Other Perspectives on Validity
184
Contrasting Reliability and Validity
186
The Importance of Validity
187
Summary
189
Suggested Readings
189
Chapter
9.
Validity: Estimating and Evaluating Convergent
and Discriminant Validity Evidence
191
Methods for Evaluating Convergent and Discriminant Validity
192
Focused Associations
192
Sets of Correlations
195
Multitrait-Multimethod Matrices
198
Quantifying Construct Validity
205
Factors Affecting a Validity Coefficient
209
Associations Between Constructs
210
Measurement Error and Reliability
210
Restricted Range
211
Relative Proportions
215
Method Variance
218
Time
219
Predictions of Single Events
219
Interpreting a Validity Coefficient
221
Squared Correlations and Variance Explained
221
Estimating Practical Effects: Binomial Effect Size
Display, Taylor-Russell Tables, Utility Analysis,
and Sensitivity/Specificity
223
Guidelines or Norms for a Field
228
Statistical Significance
229
Summary
234
Suggested Readings
234
PART IV. THREATS TO PSYCHOMETRIC QUALITY
Chapter
10.
Response Biases
239
Types of Response Biases
240
Acquiescence Bias ( Yea-Saying and Nay-Saying )
240
Extreme and Moderate Responding
243
Social Desirability
246
Malingering
251
Careless or Random Responding
252
Guessing
252
Methods for Coping With Response Biases
252
Minimizing the Existence of Bias by Managing
the Testing Context
253
Minimizing the Existence of Bias by Managing
Test Content
254
Minimizing the Effects of Bias by Managing
Test Content or Scoring
255
Managing Test Content to Detect Bias and Intervene
259
Using Specialized Tests to Detect Bias and Intervene
261
Response Biases, Response Sets, and Response Styles
263
Summary
263
Suggested Readings
264
Chapter
11.
Test Bias
265
Why Worry About Test Score Bias?
267
Detecting Construct Bias: Internal Evaluation of a Test
267
Item Discrimination Index
269
Factor Analysis
270
Differential Item Functioning Analyses
270
Rank Order
273
Detecting Predictive Bias: External Evaluation of a Test
274
Basics of Regression Analysis
275
One Size Fits All: The Common Regression Equation
276
Intercept Bias
278
Slope Bias
279
Intercept and Slope Bias
281
Outcome Score Bias
281
The Effect of Reliability
282
Other Statistical Procedures
282
Test Fairness
282
Summary
283
Suggested Reading
284
PART V. ADVANCED PSYCHOMETRIC APPROACHES
Chapter
12.
Generalizability Theory
287
Multiple Facets of Measurement
288
Generalizability and Variance Components
290
G
Studies and
D
Studies
291
Conducting and Interpreting Generalizability
Theory Analysis: A One-Facet Design
292
Phase
1:
G
Study
292
Phase
2:
D
Study
296
Conducting and Interpreting Generalizability
Theory Analysis: A Two-Facet Design
299
Phase
1:
G
Study
301
Phase
2:
D
Study
306
Other Measurement Designs
308
Number of Facets
309
Random Versus Fixed Facets
309
Crossed Versus Nested Designs
310
Relative Versus Absolute Decisions
311
Summary
313
Suggested Readings
313
Chapter
13.
Item Response Theory and
Rasch
Models
314
Basics of
IRT
314
Respondent Trait Level as a Determinant of Item Responses
315
Item Difficulty as a Determinant of Item Responses
315
Item Discrimination as a Determinant of Item Responses
316
IRT
Measurement Models
318
An Example of
IRT:
A Rasch Model
321
Item and Test Information
324
Item Characteristic Curves
324
Test Information
325
Applications of
IRT
330
Test Development and Improvement
330
Differential Item Functioning
330
Person Fit
331
Computerized Adaptive Testing
332
Summary
333
Suggested Readings
334
References
335
Index
343
About the Authors
349
R.
Michael Furr *
Verne R. Bacharach
PSYCHOMETRICS
An Introduction
Tfte
main advantage of the text is a more contemporary
and conceptual presentation of the material. I have been
looking for a book with this level and focus for some time.
—
Steven
Pulos,
University of Northern Colorado
In Psychometrics: An Introduction, authors R. Michael Furr and Verne R. Bacharach center
their presentation of material around a conceptual understanding of psychometric issues, such
as validity and reliability, and on purpose rather than procedure, the why rather than the how
to. Their goal is to introduce psychometric principles at a level that is deeper and more focused
than found in introductory undergraduate testing and measurement texts but that is more intuitive
than traditionally found in the more technical publications intended for graduate courses. By
emphasizing concepts over mathematical proofs and by focusing on practical significance, this
book assists students in appreciating not just how measurement problems can be addressed but
why it is important to address them.
KEY FEATURES
Presents information in a clear, easy-to-read, conversational style: The authors introduce concepts
in a way that is accessible to
nonprofessionals
without sacrificing the academic integrity of the
material.
Highlights practical applications: Intended to enhance readers appreciation of the importance of
psychometrics, the book provides examples that will resonate with students.
Offers an up-to-date treatment of topics in psychometrics: The book offers readers the most
contemporary views of topics in psychometrics available in the nontechnical psychometric
literature.
Introduces statistical procedures in the context of their use rather than in a separate chapter:
The authors integrate statistics with a discussion of their use as tools to solve particular
psychometric problems, encouraging a more complete understanding of both.
IITEHDED AUDIENCE
Appropriate for advanced undergraduate and graduate courses such as Psychometrics, Testing
and Measurement, Research Methods, and Experimental Methods across a range of behavioral
sciences and education.
|
| adam_txt |
Contents
Preface
xi
The Conceptual Orientation of This Book and the
Intended Audience
xi
Organizational Overview
xii
Acknowledgments
xv
Chapter
1.
Psychometrics and the Importance of
Psychological Measurement
1
Observable Behavior and Unobservable Psychological Attributes
3
Psychological Tests: Definition and Types
5
What Is a Psychological Test?
5
Types of Tests
6
Psychometrics
8
What Is Psychometrics?
8
Francis
Galten
and the Scope of Psychometrics
9
Challenges to Measurement in Psychology
10
Theme: The Importance of Individual Differences
14
Suggested Readings
14
PART I. BASIC CONCEPTS IN MEASUREMENT
Chapter
2.
Scaling
17
Fundamental Issues With Numbers
1
8
The Property of Identity
18
The Property of Order
19
The Property of Quantity
20
The Number Zero
20
Units of Measurement
22
Additivity and Counting
24
Additivity
24
Counts: When Do They Qualify as Measurement?
25
Four Scales of Measurement
26
Nominal Scales
27
Ordinal Scales
27
Interval
Scales
28
Ratio
Scales
28
Additional Issues Regarding Scales of Measurement
29
Summary
30
Suggested Readings
30
Chapter
3.
Individual Differences and Correlations
31
The Nature of Variability
31
Importance of Individual Differences
32
Variability and Distributions of Scores
33
Central Tendency
34
Variability
35
Distribution Shapes and Normal Distributions
39
Quantifying the Association Between Distributions
41
Interpreting the Association Between Two Variables
41
Covariance
42
Correlation
44
Variance for "Composite Variables"
45
Binary Items
46
Interpreting Test Scores
48
z
Scores (Standard Scores)
50
Converted Standard Scores (Standardized Scores)
53
Percentik
Ranks
54
Normalized Scores
55
Test Norms
57
Representativeness of the Reference Sample
58
Summary
59
Suggested Readings
60
Chapter
4.
Test Dimensionality and Factor Analysis
61
Test Dimensionality
62
Unidimensional
Tests
64
Multidimensional Tests With Correlated Dimensions
(Tests With Higher-Order Factors)
66
Multidimensional Tests With Uncorrelated Dimensions
68
The Psychological Meaning of Test Dimensions
68
Factor Analysis: Examining the Dimensionality of a Test
69
The Logic and Purpose of Factor Analysis
69
The Results of Factor Analysis
71
Summary
77
Suggested Readings
77
PART II. RELIABILITY
Chapter
5.
Reliability: Conceptual Basis
81
Overview of Reliability and Classical Test Theory
82
Observed Scores, True Scores, and Measurement Error
84
Variances in Observed Scores, True Scores, and Error Scores
87
Four Ways to Think of Reliability
89
Reliability as the Ratio of True Score Variance to
Observed Score Variance
90
Lack of Error Variance
9
1
The (Squared) Correlation Between Observed
Scores and True Scores
93
Lack of (Squared) Correlation Between Observed
Scores and Error Scores
95
Reliability and the Standard Error of Measurement
97
Parallel Tests
99
Domain Sampling Theory
101
Summary
102
Suggested Readings
103
Chapter
6.
Empirical Estimates of Reliability
104
Alternate Forms Reliability
105
Test-Retest Reliability
108
Internal Consistency Reliability
111
Split-Half Estimates of Reliability
111
"Raw" Coefficient Alpha
115
"Standardized" Coefficient Alpha
117
Raw Alpha for Binary Items: KR ,0
119
Accuracy and Use of Internal Consistency
Estimates of Reliability: Theory and Reality
120
Internal Consistency Versus Dimensionality
122
Factors Affecting the Reliability of Test Scores
123
Sample Homogeneity and Reliability Generalization
130
Reliability of Difference Scores
131
Tests on Different Metrics and the Need to Standardize
Scores
135
A Different Type of Difference Score
13 8
Difference Scores
—
Summary and Caution
138
Summary
138
Suggested Readings
139
Chapter
7.
Importance of Reliability
141
Behavioral Research
141
Reliability, True Correlations, and Observed Correlations
141
Measurement Error (Low Reliability) Attenuates the
Correlation Between Measures
144
Reliability and Attenuation: Implications for Research
147
Applied Behavioral Practice: Evaluation of an Individual's
TestScore
151
Point Estimates of True Scores
152
True Score Confidence Intervals
155
Test Construction and Refinement
158
Item Discrimination and Other Information Regarding
Internal Consistency
159
Item Difficulty (Mean) and Item Variance
163
Summary
164
Suggested Readings
164
PART III. VALIDITY
Chapter
8.
Validity: Conceptual Basis
167
What Is Validity?
168
Validity Evidence: Test Content
172
Threats to Content Validity
172
Content Validity Versus Face Validity
173
Validity Evidence: Internal Structure of the Test
174
Validity Evidence: Response Processes
177
Validity Evidence: Associations With Other Variables
179
Validity Evidence: Consequences of Testing
182
Other Perspectives on Validity
184
Contrasting Reliability and Validity
186
The Importance of Validity
187
Summary
189
Suggested Readings
189
Chapter
9.
Validity: Estimating and Evaluating Convergent
and Discriminant Validity Evidence
191
Methods for Evaluating Convergent and Discriminant Validity
192
Focused Associations
192
Sets of Correlations
195
Multitrait-Multimethod Matrices
198
Quantifying Construct Validity
205
Factors Affecting a Validity Coefficient
209
Associations Between Constructs
210
Measurement Error and Reliability
210
Restricted Range
211
Relative Proportions
215
Method Variance
218
Time
219
Predictions of Single Events
219
Interpreting a Validity Coefficient
221
Squared Correlations and "Variance Explained"
221
Estimating Practical Effects: Binomial Effect Size
Display, Taylor-Russell Tables, Utility Analysis,
and Sensitivity/Specificity
223
Guidelines or Norms for a Field
228
Statistical Significance
229
Summary
234
Suggested Readings
234
PART IV. THREATS TO PSYCHOMETRIC QUALITY
Chapter
10.
Response Biases
239
Types of Response Biases
240
Acquiescence Bias ("Yea-Saying and Nay-Saying")
240
Extreme and Moderate Responding
243
Social Desirability
246
Malingering
251
Careless or Random Responding
252
Guessing
252
Methods for Coping With Response Biases
252
Minimizing the Existence of Bias by Managing
the Testing Context
253
Minimizing the Existence of Bias by Managing
Test Content
254
Minimizing the Effects of Bias by Managing
Test Content or Scoring
255
Managing Test Content to Detect Bias and Intervene
259
Using Specialized Tests to Detect Bias and Intervene
261
Response Biases, Response Sets, and Response Styles
263
Summary
263
Suggested Readings
264
Chapter
11.
Test Bias
265
Why Worry About Test Score Bias?
267
Detecting Construct Bias: Internal Evaluation of a Test
267
Item Discrimination Index
269
Factor Analysis
270
Differential Item Functioning Analyses
270
Rank Order
273
Detecting Predictive Bias: External Evaluation of a Test
274
Basics of Regression Analysis
275
One Size Fits All: The Common Regression Equation
276
Intercept Bias
278
Slope Bias
279
Intercept and Slope Bias
281
Outcome Score Bias
281
The Effect of Reliability
282
Other Statistical Procedures
282
Test Fairness
282
Summary
283
Suggested Reading
284
PART V. ADVANCED PSYCHOMETRIC APPROACHES
Chapter
12.
Generalizability Theory
287
Multiple Facets of Measurement
288
Generalizability and Variance Components
290
G
Studies and
D
Studies
291
Conducting and Interpreting Generalizability
Theory Analysis: A One-Facet Design
292
Phase
1:
G
Study
292
Phase
2:
D
Study
296
Conducting and Interpreting Generalizability
Theory Analysis: A Two-Facet Design
299
Phase
1:
G
Study
301
Phase
2:
D
Study
306
Other Measurement Designs
308
Number of Facets
309
Random Versus Fixed Facets
309
Crossed Versus Nested Designs
310
Relative Versus Absolute Decisions
311
Summary
313
Suggested Readings
313
Chapter
13.
Item Response Theory and
Rasch
Models
314
Basics of
IRT
314
Respondent Trait Level as a Determinant of Item Responses
315
Item Difficulty as a Determinant of Item Responses
315
Item Discrimination as a Determinant of Item Responses
316
IRT
Measurement Models
318
An Example of
IRT:
A Rasch Model
321
Item and Test Information
324
Item Characteristic Curves
324
Test Information
325
Applications of
IRT
330
Test Development and Improvement
330
Differential Item Functioning
330
Person Fit
331
Computerized Adaptive Testing
332
Summary
333
Suggested Readings
334
References
335
Index
343
About the Authors
349
R.
Michael Furr *
Verne R. Bacharach
PSYCHOMETRICS
An Introduction
'Tfte
main advantage of the text is a more contemporary
and conceptual presentation of the material. I have been
looking for a book with this level and focus for some time."
—
Steven
Pulos,
University of Northern Colorado
In Psychometrics: An Introduction, authors R. Michael Furr and Verne R. Bacharach center
their presentation of material around a conceptual understanding of psychometric issues, such
as validity and reliability, and on purpose rather than procedure, the "why" rather than the "how
to." Their goal is to introduce psychometric principles at a level that is deeper and more focused
than found in introductory undergraduate testing and measurement texts but that is more intuitive
than traditionally found in the more technical publications intended for graduate courses. By
emphasizing concepts over mathematical proofs and by focusing on practical significance, this
book assists students in appreciating not just how measurement problems can be addressed but
why it is important to address them.
KEY FEATURES
Presents information in a clear, easy-to-read, conversational style: The authors introduce concepts
in a way that is accessible to
nonprofessionals
without sacrificing the academic integrity of the
material.
Highlights practical applications: Intended to enhance readers' appreciation of the importance of
psychometrics, the book provides examples that will resonate with students.
Offers an up-to-date treatment of topics in psychometrics: The book offers readers the most
contemporary views of topics in psychometrics available in the nontechnical psychometric
literature.
Introduces statistical procedures in the context of their use rather than in a separate chapter:
The authors integrate statistics with a discussion of their use as tools to solve particular
psychometric problems, encouraging a more complete understanding of both.
IITEHDED AUDIENCE
Appropriate for advanced undergraduate and graduate courses such as Psychometrics, Testing
and Measurement, Research Methods, and Experimental Methods across a range of behavioral
sciences and education. |
| any_adam_object | 1 |
| any_adam_object_boolean | 1 |
| author | Furr, R. Michael Bacharach, Verne R. |
| author_facet | Furr, R. Michael Bacharach, Verne R. |
| author_role | aut aut |
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| bvnumber | BV023264744 |
| callnumber-first | B - Philosophy, Psychology, Religion |
| callnumber-label | BF39 |
| callnumber-raw | BF39 |
| callnumber-search | BF39 |
| callnumber-sort | BF 239 |
| callnumber-subject | BF - Psychology |
| classification_rvk | CM 3000 QH 254 |
| classification_tum | PSY 450b |
| ctrlnum | (OCoLC)123539539 (DE-599)BVBBV023264744 |
| dewey-full | 150.1/5195 |
| dewey-hundreds | 100 - Philosophy & psychology |
| dewey-ones | 150 - Psychology |
| dewey-raw | 150.1/5195 |
| dewey-search | 150.1/5195 |
| dewey-sort | 3150.1 45195 |
| dewey-tens | 150 - Psychology |
| discipline | Psychologie Wirtschaftswissenschaften |
| discipline_str_mv | Psychologie Wirtschaftswissenschaften |
| format | Book |
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| genre | (DE-588)4151278-9 Einführung gnd-content |
| genre_facet | Einführung |
| id | DE-604.BV023264744 |
| illustrated | Illustrated |
| index_date | 2024-07-02T20:33:26Z |
| indexdate | 2024-07-09T21:14:28Z |
| institution | BVB |
| isbn | 9781412927604 1412927609 |
| language | English |
| lccn | 2007016663 |
| oai_aleph_id | oai:aleph.bib-bvb.de:BVB01-016449867 |
| oclc_num | 123539539 |
| open_access_boolean | |
| owner | DE-355 DE-BY-UBR DE-20 DE-703 DE-11 DE-91 DE-BY-TUM |
| owner_facet | DE-355 DE-BY-UBR DE-20 DE-703 DE-11 DE-91 DE-BY-TUM |
| physical | XVI, 349 S. graph. Darst. 27 cm |
| publishDate | 2008 |
| publishDateSearch | 2008 |
| publishDateSort | 2008 |
| publisher | Sage Publ. |
| record_format | marc |
| spelling | Furr, R. Michael Verfasser aut Psychometrics an introduction R. Michael Furr ; Verne R. Bacharach Los Angeles [u.a.] Sage Publ. 2008 XVI, 349 S. graph. Darst. 27 cm txt rdacontent n rdamedia nc rdacarrier Includes bibliographical references (p. 335-342) and index Psychometrie gtt Psychométrie Psychometrics Psychometrie (DE-588)4176236-8 gnd rswk-swf (DE-588)4151278-9 Einführung gnd-content Psychometrie (DE-588)4176236-8 s DE-604 Bacharach, Verne R. Verfasser aut http://www.loc.gov/catdir/enhancements/fy0808/2007016663-b.html Contributor biographical information http://www.loc.gov/catdir/enhancements/fy0808/2007016663-d.html Publisher description http://www.loc.gov/catdir/enhancements/fy0808/2007016663-t.html Table of contents only Digitalisierung UB Regensburg application/pdf http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=016449867&sequence=000003&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA Inhaltsverzeichnis Digitalisierung UB Regensburg application/pdf http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=016449867&sequence=000004&line_number=0002&func_code=DB_RECORDS&service_type=MEDIA Klappentext |
| spellingShingle | Furr, R. Michael Bacharach, Verne R. Psychometrics an introduction Psychometrie gtt Psychométrie Psychometrics Psychometrie (DE-588)4176236-8 gnd |
| subject_GND | (DE-588)4176236-8 (DE-588)4151278-9 |
| title | Psychometrics an introduction |
| title_auth | Psychometrics an introduction |
| title_exact_search | Psychometrics an introduction |
| title_exact_search_txtP | Psychometrics an introduction |
| title_full | Psychometrics an introduction R. Michael Furr ; Verne R. Bacharach |
| title_fullStr | Psychometrics an introduction R. Michael Furr ; Verne R. Bacharach |
| title_full_unstemmed | Psychometrics an introduction R. Michael Furr ; Verne R. Bacharach |
| title_short | Psychometrics |
| title_sort | psychometrics an introduction |
| title_sub | an introduction |
| topic | Psychometrie gtt Psychométrie Psychometrics Psychometrie (DE-588)4176236-8 gnd |
| topic_facet | Psychometrie Psychométrie Psychometrics Einführung |
| url | http://www.loc.gov/catdir/enhancements/fy0808/2007016663-b.html http://www.loc.gov/catdir/enhancements/fy0808/2007016663-d.html http://www.loc.gov/catdir/enhancements/fy0808/2007016663-t.html http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=016449867&sequence=000003&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=016449867&sequence=000004&line_number=0002&func_code=DB_RECORDS&service_type=MEDIA |
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