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Volumn 16, Issue 2, 2011, Pages 209-220

Dimensionality assessment of ordered polytomous items with parallel analysis

Author keywords

Exploratory factor analysis; Minimum rank factor analysis; Number of common factors; Polychoric correlation; Principal component analysis; Tetrachoric correlation

Indexed keywords

ARTICLE; FACTORIAL ANALYSIS; HUMAN; MATHEMATICAL COMPUTING; METHODOLOGY; PRINCIPAL COMPONENT ANALYSIS; PSYCHOLOGY; RESEARCH; SAMPLE SIZE; STATISTICAL ANALYSIS; STATISTICAL MODEL; STATISTICS;

EID: 79958855301     PISSN: 1082989X     EISSN: None     Source Type: Journal    
DOI: 10.1037/a0023353     Document Type: Article
Times cited : (1089)

References (63)
  • 1
    • 0001455485 scopus 로고
    • Regression equations for the latent roots of random data correlation matrices with unities on the diagonal
    • doi: 10.1207/s15327906mbr2103_7
    • Allen S.J., Hubbard R. Regression equations for the latent roots of random data correlation matrices with unities on the diagonal. Multivariate Behavioral Research 1986, 21:393-396. doi: 10.1207/s15327906mbr2103_7.
    • (1986) Multivariate Behavioral Research , vol.21 , pp. 393-396
    • Allen, S.J.1    Hubbard, R.2
  • 2
    • 0001029742 scopus 로고
    • The sensitivity of confirmatory maximum likelihood factor analysis to violations of measurement scale and distributional assumptions
    • doi: 10.2307/3151512
    • Babakus E., Ferguson C.E., Jöreskog K.G. The sensitivity of confirmatory maximum likelihood factor analysis to violations of measurement scale and distributional assumptions. Journal of Marketing Research 1987, 24:222-228. doi: 10.2307/3151512.
    • (1987) Journal of Marketing Research , vol.24 , pp. 222-228
    • Babakus, E.1    Ferguson, C.E.2    Jöreskog, K.G.3
  • 3
    • 84973076636 scopus 로고
    • Tests of significance in factor analysis
    • Bartlett M.S. Tests of significance in factor analysis. British Journal of Psychology 1950, 3:77-85.
    • (1950) British Journal of Psychology , vol.3 , pp. 77-85
    • Bartlett, M.S.1
  • 4
    • 0001399685 scopus 로고    scopus 로고
    • Beyond the big five
    • doi: 10.1016/S0191-8869(98)00168-8
    • Becker P. Beyond the big five. Personality and Individual Differences 1999, 26:511-530. doi: 10.1016/S0191-8869(98)00168-8.
    • (1999) Personality and Individual Differences , vol.26 , pp. 511-530
    • Becker, P.1
  • 5
    • 58149373040 scopus 로고
    • Factoring items and factoring scales are different: Spurious evidence for multidimensionality due to item categorization
    • doi: 10.1037/0033-2909.105.3.467
    • Bernstein I.H., Teng G. Factoring items and factoring scales are different: Spurious evidence for multidimensionality due to item categorization. Psychological Bulletin 1989, 105:467-477. doi: 10.1037/0033-2909.105.3.467.
    • (1989) Psychological Bulletin , vol.105 , pp. 467-477
    • Bernstein, I.H.1    Teng, G.2
  • 6
    • 21144448052 scopus 로고    scopus 로고
    • Inferential methods for the tetrachoric correlation coefficient
    • doi: 10.3102/10769986030002213
    • Bonett D.G., Price R.M. Inferential methods for the tetrachoric correlation coefficient. Journal of Educational and Behavioral Statistics 2005, 30:213-225. doi: 10.3102/10769986030002213.
    • (2005) Journal of Educational and Behavioral Statistics , vol.30 , pp. 213-225
    • Bonett, D.G.1    Price, R.M.2
  • 7
    • 33751225661 scopus 로고    scopus 로고
    • The attack of the psychometricians
    • doi: 10.1007/s11336-006-1447-6
    • Borsboom D. The attack of the psychometricians. Psychometrika 2006, 71:425-440. doi: 10.1007/s11336-006-1447-6.
    • (2006) Psychometrika , vol.71 , pp. 425-440
    • Borsboom, D.1
  • 8
    • 84965455705 scopus 로고
    • Alternative ways of assessing model fit
    • doi: 10.1177/0049124192021002005
    • Browne M.W., Cudeck R. Alternative ways of assessing model fit. Sociological Methods & Research 1992, 21:230-258. doi: 10.1177/0049124192021002005.
    • (1992) Sociological Methods & Research , vol.21 , pp. 230-258
    • Browne, M.W.1    Cudeck, R.2
  • 9
    • 0000626398 scopus 로고
    • Remarks on parallel analysis
    • doi: 10.1207/s15327906mbr2704_2
    • Buja A., Eyuboglu N. Remarks on parallel analysis. Multivariate Behavioral Research 1992, 27(4):509-540. doi: 10.1207/s15327906mbr2704_2.
    • (1992) Multivariate Behavioral Research , vol.27 , Issue.4 , pp. 509-540
    • Buja, A.1    Eyuboglu, N.2
  • 10
    • 84937549955 scopus 로고
    • The scree test for the number of factors
    • doi: 10.1207/s15327906mbr0102_10
    • Cattell R.B. The scree test for the number of factors. Multivariate Behavioral Research 1966, 1:245-276. doi: 10.1207/s15327906mbr0102_10.
    • (1966) Multivariate Behavioral Research , vol.1 , pp. 245-276
    • Cattell, R.B.1
  • 11
    • 70350127949 scopus 로고    scopus 로고
    • Accuracy of the parallel analysis procedure with polychoric correlations
    • doi: 10.1177/0013164409332229
    • Cho S., Li F., Bandalos D. Accuracy of the parallel analysis procedure with polychoric correlations. Educational and Psychological Measurement 2009, 69:748-759. doi: 10.1177/0013164409332229.
    • (2009) Educational and Psychological Measurement , vol.69 , pp. 748-759
    • Cho, S.1    Li, F.2    Bandalos, D.3
  • 12
    • 84973741598 scopus 로고
    • Comparing different methods for implementing parallel analysis: A practical index of accuracy
    • doi: 10.1177/0013164493053004001
    • Cota A.A., Longman R.S., Holden R.R., Fekken G.C. Comparing different methods for implementing parallel analysis: A practical index of accuracy. Educational and Psychological Measurement 1993, 53:865-876. doi: 10.1177/0013164493053004001.
    • (1993) Educational and Psychological Measurement , vol.53 , pp. 865-876
    • Cota, A.A.1    Longman, R.S.2    Holden, R.R.3    Fekken, G.C.4
  • 13
    • 21344495064 scopus 로고
    • Interpolating 95th percentile eigenvalues from random data: An empirical example
    • doi: 10.1177/0013164493053003001
    • Cota A.A., Longman R.S., Holden R.R., Fekken G.C., Xinaris S. Interpolating 95th percentile eigenvalues from random data: An empirical example. Educational and Psychological Measurement 1993, 53:585-596. doi: 10.1177/0013164493053003001.
    • (1993) Educational and Psychological Measurement , vol.53 , pp. 585-596
    • Cota, A.A.1    Longman, R.S.2    Holden, R.R.3    Fekken, G.C.4    Xinaris, S.5
  • 14
    • 39049149510 scopus 로고    scopus 로고
    • A new taxonomy of Dutch personality traits based on a comprehensive and unrestricted list of descriptors
    • doi: 10.1037/0022-3514.94.2.347
    • De Raad B., Barelds D.P.H. A new taxonomy of Dutch personality traits based on a comprehensive and unrestricted list of descriptors. Journal of Personality and Social Psychology 2008, 94:347-364. doi: 10.1037/0022-3514.94.2.347.
    • (2008) Journal of Personality and Social Psychology , vol.94 , pp. 347-364
    • De Raad, B.1    Barelds, D.P.H.2
  • 15
    • 0016750222 scopus 로고
    • Robust estimation and outlier detection with correlation coefficients
    • doi: 10.1093/biomet/62.3.531
    • Devlin S.J., Gnanadesikan R., Kettenring J.R. Robust estimation and outlier detection with correlation coefficients. Biometrika 1975, 62:531-545. doi: 10.1093/biomet/62.3.531.
    • (1975) Biometrika , vol.62 , pp. 531-545
    • Devlin, S.J.1    Gnanadesikan, R.2    Kettenring, J.R.3
  • 17
    • 70449602269 scopus 로고    scopus 로고
    • Exploring the sensitivity of Horn's parallel analysis to the distributional form of random data
    • doi: 10.1080/00273170902938969
    • Dinno A. Exploring the sensitivity of Horn's parallel analysis to the distributional form of random data. Multivariate Behavioral Research 2009, 44:362-388. doi: 10.1080/00273170902938969.
    • (2009) Multivariate Behavioral Research , vol.44 , pp. 362-388
    • Dinno, A.1
  • 18
    • 85004857877 scopus 로고
    • Factor analysis of variables with 2, 3, 5 and 7 response categories: A comparison of categorical variable estimators using simulated data
    • Dolan C.V. Factor analysis of variables with 2, 3, 5 and 7 response categories: A comparison of categorical variable estimators using simulated data. British Journal of Mathematical and Statistical Psychology 1994, 47:309-326.
    • (1994) British Journal of Mathematical and Statistical Psychology , vol.47 , pp. 309-326
    • Dolan, C.V.1
  • 19
    • 0039620968 scopus 로고    scopus 로고
    • Evaluating the use of exploratory factor analysis in psychological research
    • doi: 10.1037/1082-989X.4.3.272
    • Fabrigar L.R., Wegener D.T., MacCallum R.C., Strahan E.J. Evaluating the use of exploratory factor analysis in psychological research. Psychological Methods 1999, 4:272-299. doi: 10.1037/1082-989X.4.3.272.
    • (1999) Psychological Methods , vol.4 , pp. 272-299
    • Fabrigar, L.R.1    Wegener, D.T.2    MacCallum, R.C.3    Strahan, E.J.4
  • 20
    • 41849085226 scopus 로고    scopus 로고
    • A bootstrap generalization of modified parallel analysis for IRT dimensionality assessment
    • doi: 10.1080/08957340801926102
    • Finch H., Monahan P. A bootstrap generalization of modified parallel analysis for IRT dimensionality assessment. Applied Measurement in Education 2008, 21:119-140. doi: 10.1080/08957340801926102.
    • (2008) Applied Measurement in Education , vol.21 , pp. 119-140
    • Finch, H.1    Monahan, P.2
  • 21
    • 84973751080 scopus 로고
    • An improvement on Horn's parallel analysis methodology for selecting the correct number of factors to retain
    • doi: 10.1177/0013164495055003002
    • Glorfeld L.W. An improvement on Horn's parallel analysis methodology for selecting the correct number of factors to retain. Educational and Psychological Measurement 1995, 55:377-393. doi: 10.1177/0013164495055003002.
    • (1995) Educational and Psychological Measurement , vol.55 , pp. 377-393
    • Glorfeld, L.W.1
  • 22
    • 85032068371 scopus 로고
    • Methodology review: Assessing unidimensionality of tests and items
    • doi: 10.1177/014662168500900204
    • Hattie J.A. Methodology review: Assessing unidimensionality of tests and items. Applied Psychological Measurement 1985, 9:139-164. doi: 10.1177/014662168500900204.
    • (1985) Applied Psychological Measurement , vol.9 , pp. 139-164
    • Hattie, J.A.1
  • 23
    • 2342495760 scopus 로고    scopus 로고
    • Factor retention decisions in exploratory factor analysis: A tutorial on parallel analysis
    • doi: 10.1177/1094428104263675
    • Hayton J.C., Allen D.G., Scarpello V. Factor retention decisions in exploratory factor analysis: A tutorial on parallel analysis. Organizational Research Methods 2004, 7:191-205. doi: 10.1177/1094428104263675.
    • (2004) Organizational Research Methods , vol.7 , pp. 191-205
    • Hayton, J.C.1    Allen, D.G.2    Scarpello, V.3
  • 24
    • 8644267207 scopus 로고
    • A rationale and test for the number of factors in factor analysis
    • doi: 10.1007/BF02289447
    • Horn J.L. A rationale and test for the number of factors in factor analysis. Psychometrika 1965, 30:179-185. doi: 10.1007/BF02289447.
    • (1965) Psychometrika , vol.30 , pp. 179-185
    • Horn, J.L.1
  • 25
    • 38249036936 scopus 로고
    • An empirical comparison of alternative methods for principal component extraction
    • doi: 10.1016/0148-2963(84)90047-X
    • Hubbard R., Allen S. An empirical comparison of alternative methods for principal component extraction. Journal of Business Research 1987, 15:173-190. doi: 10.1016/0148-2963(84)90047-X.
    • (1987) Journal of Business Research , vol.15 , pp. 173-190
    • Hubbard, R.1    Allen, S.2
  • 26
    • 0010017776 scopus 로고
    • Note on a criterion for the number of common factors
    • doi: 10.1177/001316446902900303
    • Humphreys L.G., Ilgen D.R. Note on a criterion for the number of common factors. Educational and Psychological Measurement 1969, 29:571-578. doi: 10.1177/001316446902900303.
    • (1969) Educational and Psychological Measurement , vol.29 , pp. 571-578
    • Humphreys, L.G.1    Ilgen, D.R.2
  • 27
    • 41849147090 scopus 로고
    • An investigation of the parallel analysis criterion for determining the number of common factors
    • doi: 10.1207/s15327906mbr1002_5
    • Humphreys L.G., Montanelli R.G. An investigation of the parallel analysis criterion for determining the number of common factors. Multivariate Behavioral Research 1975, 10:193-205. doi: 10.1207/s15327906mbr1002_5.
    • (1975) Multivariate Behavioral Research , vol.10 , pp. 193-205
    • Humphreys, L.G.1    Montanelli, R.G.2
  • 28
    • 84976998771 scopus 로고
    • The application of electronic computers to factor analysis
    • doi: 10.1177/001316446002000116
    • Kaiser H.F. The application of electronic computers to factor analysis. Educational and Psychological Measurement 1960, 20:141-151. doi: 10.1177/001316446002000116.
    • (1960) Educational and Psychological Measurement , vol.20 , pp. 141-151
    • Kaiser, H.F.1
  • 29
    • 0000985091 scopus 로고
    • A comparison of alternatives to conducting Monte Carlo analyses for determining parallel analysis criteria
    • doi: 10.1207/s15327906mbr2403_6
    • Lautenschlager G.J. A comparison of alternatives to conducting Monte Carlo analyses for determining parallel analysis criteria. Multivariate Behavioral Research 1989, 24:365-395. doi: 10.1207/s15327906mbr2403_6.
    • (1989) Multivariate Behavioral Research , vol.24 , pp. 365-395
    • Lautenschlager, G.J.1
  • 30
    • 0001041046 scopus 로고
    • Parallel analysis criteria: Revised equations for estimating the latent roots of random data correlation matrices
    • doi: 10.1177/0013164489492006
    • Lautenschlager G.J., Lance C.E., Flaherty V.L. Parallel analysis criteria: Revised equations for estimating the latent roots of random data correlation matrices. Educational and Psychological Measurement 1989, 49:339-345. doi: 10.1177/0013164489492006.
    • (1989) Educational and Psychological Measurement , vol.49 , pp. 339-345
    • Lautenschlager, G.J.1    Lance, C.E.2    Flaherty, V.L.3
  • 31
    • 84893609004 scopus 로고    scopus 로고
    • Determining the number of factors to retain in EFA: An easy-to-use computer program for carrying out parallel analysis
    • Ledesma R.D., Valero-Mora P. Determining the number of factors to retain in EFA: An easy-to-use computer program for carrying out parallel analysis. Practical Assessment, Research, and Evaluation 2007, 12:1-11.
    • (2007) Practical Assessment, Research, and Evaluation , vol.12 , pp. 1-11
    • Ledesma, R.D.1    Valero-Mora, P.2
  • 32
    • 38249019863 scopus 로고
    • Full maximum likelihood analysis of structural equation models with polytomous variables
    • doi: 10.1016/0167-7152(90)90100-L
    • Lee S., Poon W., Bentler P.M. Full maximum likelihood analysis of structural equation models with polytomous variables. Statistics & Probability Letters 1990, 9:91-97. doi: 10.1016/0167-7152(90)90100-L.
    • (1990) Statistics & Probability Letters , vol.9 , pp. 91-97
    • Lee, S.1    Poon, W.2    Bentler, P.M.3
  • 33
    • 48149095689 scopus 로고    scopus 로고
    • A modified procedure for parallel analysis for ordered categorical data
    • doi: 10.3758/BRM.40.2.556
    • Liu O.L., Rijmen F. A modified procedure for parallel analysis for ordered categorical data. Behavior Research Methods, Instruments, & Computers 2008, 40:556-562. doi: 10.3758/BRM.40.2.556.
    • (2008) Behavior Research Methods, Instruments, & Computers , vol.40 , pp. 556-562
    • Liu, O.L.1    Rijmen, F.2
  • 34
    • 84951420802 scopus 로고
    • A regression equation for the parallel analysis criterion in principal components analysis: Mean and 95th percentile eigenvalues
    • doi: 10.1207/s15327906mbr2401_4
    • Longman R.S., Cota A.A., Holden R.R., Fekken G.C. A regression equation for the parallel analysis criterion in principal components analysis: Mean and 95th percentile eigenvalues. Multivariate Behavioral Research 1989, 24:59-69. doi: 10.1207/s15327906mbr2401_4.
    • (1989) Multivariate Behavioral Research , vol.24 , pp. 59-69
    • Longman, R.S.1    Cota, A.A.2    Holden, R.R.3    Fekken, G.C.4
  • 35
    • 33746742446 scopus 로고    scopus 로고
    • FACTOR: A computer program to fit the exploratory factor analysis model
    • doi: 10.3758/BF03192753
    • Lorenzo-Seva U., Ferrando P.J. FACTOR: A computer program to fit the exploratory factor analysis model. Behavior Research Methods, Instruments, & Computers 2006, 38:88-91. doi: 10.3758/BF03192753.
    • (2006) Behavior Research Methods, Instruments, & Computers , vol.38 , pp. 88-91
    • Lorenzo-Seva, U.1    Ferrando, P.J.2
  • 36
    • 12044260131 scopus 로고
    • Representing sources of error in the common-factor model: Implications for theory and practice
    • doi: 10.1037/0033-2909.109.3.502
    • MacCallum R.C., Tucker L.R. Representing sources of error in the common-factor model: Implications for theory and practice. Psychological Bulletin 1991, 109:502-511. doi: 10.1037/0033-2909.109.3.502.
    • (1991) Psychological Bulletin , vol.109 , pp. 502-511
    • MacCallum, R.C.1    Tucker, L.R.2
  • 38
    • 0001665029 scopus 로고
    • Latent roots of random data correlation matrices with squared multiple correlations on the diagonal: A Monte Carlo study
    • doi: 10.1007/BF02293559
    • Montanelli R.G., Humphreys L.G. Latent roots of random data correlation matrices with squared multiple correlations on the diagonal: A Monte Carlo study. Psychometrika 1976, 41:341-348. doi: 10.1007/BF02293559.
    • (1976) Psychometrika , vol.41 , pp. 341-348
    • Montanelli, R.G.1    Humphreys, L.G.2
  • 39
    • 85004907578 scopus 로고
    • A comparison of some methodologies for the factor analysis of non-normal Likert variables
    • Muthén B., Kaplan D. A comparison of some methodologies for the factor analysis of non-normal Likert variables. British Journal of Mathematical and Statistical Psychology 1985, 38(2):171-189.
    • (1985) British Journal of Mathematical and Statistical Psychology , vol.38 , Issue.2 , pp. 171-189
    • Muthén, B.1    Kaplan, D.2
  • 41
    • 0034242321 scopus 로고    scopus 로고
    • SPSS and SAS programs for determining the number of components using parallel analysis and Velicer's MAP test
    • doi: 10.3758/BF03200807
    • O'Connor B.P. SPSS and SAS programs for determining the number of components using parallel analysis and Velicer's MAP test. Behavior Research Methods, Instruments, & Computers 2000, 32:396-402. doi: 10.3758/BF03200807.
    • (2000) Behavior Research Methods, Instruments, & Computers , vol.32 , pp. 396-402
    • O'Connor, B.P.1
  • 42
    • 0000541399 scopus 로고
    • Maximum likelihood estimation of the polychoric correlation coefficient
    • doi: 10.1007/BF02296207
    • Olsson U. Maximum likelihood estimation of the polychoric correlation coefficient. Psychometrika 1979, 44:443-460. doi: 10.1007/BF02296207.
    • (1979) Psychometrika , vol.44 , pp. 443-460
    • Olsson, U.1
  • 43
    • 84949160498 scopus 로고
    • On the robustness of factor analysis against crude classification of the observations
    • doi: 10.1207/s15327906mbr1404_7
    • Olsson U. On the robustness of factor analysis against crude classification of the observations. Multivariate Behavioral Research 1979, 14:485-500. doi: 10.1207/s15327906mbr1404_7.
    • (1979) Multivariate Behavioral Research , vol.14 , pp. 485-500
    • Olsson, U.1
  • 44
    • 0000325341 scopus 로고
    • On lines and planes of closest fit to systems of points in space
    • Pearson K. On lines and planes of closest fit to systems of points in space. Philosophical Magazine 1901, 2:559-572.
    • (1901) Philosophical Magazine , vol.2 , pp. 559-572
    • Pearson, K.1
  • 45
    • 19044395321 scopus 로고    scopus 로고
    • How many principal components? Stopping rules for determining the number of non-trivial axes revisited
    • doi: 10.1016/j.csda.2004.06.015
    • Peres-Neto P.R., Jackson D.A., Somers K.M. How many principal components? Stopping rules for determining the number of non-trivial axes revisited. Computational Statistics & Data Analysis 2005, 49:974-997. doi: 10.1016/j.csda.2004.06.015.
    • (2005) Computational Statistics & Data Analysis , vol.49 , pp. 974-997
    • Peres-Neto, P.R.1    Jackson, D.A.2    Somers, K.M.3
  • 47
    • 84970314173 scopus 로고
    • An application of singular value decomposition to the factor analysis of MMPI items
    • doi: 10.1177/014662168200600303
    • Reddon J.R., Marceau R., Jackson D.N. An application of singular value decomposition to the factor analysis of MMPI items. Applied Psychological Measurement 1982, 6(3):275-283. doi: 10.1177/014662168200600303.
    • (1982) Applied Psychological Measurement , vol.6 , Issue.3 , pp. 275-283
    • Reddon, J.R.1    Marceau, R.2    Jackson, D.N.3
  • 48
    • 84970338253 scopus 로고
    • Three approaches to determining the dimensionality of binary items
    • doi: 10.1177/014662169101500201
    • Roznowski M., Tucker L.R., Humphreys L.G. Three approaches to determining the dimensionality of binary items. Applied Psychological Measurement 1991, 15:109-127. doi: 10.1177/014662169101500201.
    • (1991) Applied Psychological Measurement , vol.15 , pp. 109-127
    • Roznowski, M.1    Tucker, L.R.2    Humphreys, L.G.3
  • 51
    • 33744960613 scopus 로고    scopus 로고
    • An illustration of issues in factor extraction and identification of dimensionality in psychological assessment data
    • doi: 10.1207/s15327752jpa8603_03
    • Steger M.F. An illustration of issues in factor extraction and identification of dimensionality in psychological assessment data. Journal of Personality Assessment 2006, 86:263-272. doi: 10.1207/s15327752jpa8603_03.
    • (2006) Journal of Personality Assessment , vol.86 , pp. 263-272
    • Steger, M.F.1
  • 52
    • 56749159005 scopus 로고    scopus 로고
    • The empirical verification of an assignment of items to subtests: The oblique multiple group method versus the confirmatory common factor method
    • doi: 10.1177/0013164408315264
    • Stuive I., Kiers H.A.L., Timmerman M.E., ten Berge J.M.F. The empirical verification of an assignment of items to subtests: The oblique multiple group method versus the confirmatory common factor method. Educational and Psychological Measurement 2008, 68:923-939. doi: 10.1177/0013164408315264.
    • (2008) Educational and Psychological Measurement , vol.68 , pp. 923-939
    • Stuive, I.1    Kiers, H.A.L.2    Timmerman, M.E.3    ten Berge, J.M.F.4
  • 53
    • 0000563849 scopus 로고
    • On the relationship between item response theory and factor analysis of discretized variables
    • doi: 10.1007/BF02294363
    • Takane Y., de Leeuw J. On the relationship between item response theory and factor analysis of discretized variables. Psychometrika 1987, 52:393-408. doi: 10.1007/BF02294363.
    • (1987) Psychometrika , vol.52 , pp. 393-408
    • Takane, Y.1    de Leeuw, J.2
  • 54
    • 0000029178 scopus 로고
    • A numerical approach to the approximate and the exact minimum rank of a covariance matrix
    • doi: 10.1007/BF02294464
    • ten Berge J.M.F., Kiers H.A.L. A numerical approach to the approximate and the exact minimum rank of a covariance matrix. Psychometrika 1991, 56:309-315. doi: 10.1007/BF02294464.
    • (1991) Psychometrika , vol.56 , pp. 309-315
    • ten Berge, J.M.F.1    Kiers, H.A.L.2
  • 55
    • 79958850177 scopus 로고    scopus 로고
    • Scale construction and evaluation in practice: A review of factor analysis versus item response theory
    • ten Holt J.C., van Duijn M.A.J., Boomsma A. Scale construction and evaluation in practice: A review of factor analysis versus item response theory. Psychological Test and Assessment Modeling 2010, 52:272-297.
    • (2010) Psychological Test and Assessment Modeling , vol.52 , pp. 272-297
    • ten Holt, J.C.1    van Duijn, M.A.J.2    Boomsma, A.3
  • 57
    • 0000075858 scopus 로고
    • Evaluation of factor analytic research procedures by means of simulated correlation matrices
    • doi: 10.1007/BF02290601
    • Tucker L.R., Koopman R.F., Linn R.L. Evaluation of factor analytic research procedures by means of simulated correlation matrices. Psychometrika 1969, 34(4 (Pt. 1)):421-459. doi: 10.1007/BF02290601.
    • (1969) Psychometrika , vol.34 , Issue.4 PART 1 , pp. 421-459
    • Tucker, L.R.1    Koopman, R.F.2    Linn, R.L.3
  • 58
    • 0032363615 scopus 로고    scopus 로고
    • The effect of common variance and structure pattern on random data eigenvalues: Implications for the accuracy of parallel analysis
    • doi: 10.1177/0013164498058004001
    • Turner N.E. The effect of common variance and structure pattern on random data eigenvalues: Implications for the accuracy of parallel analysis. Educational and Psychological Measurement 1998, 58:541-568. doi: 10.1177/0013164498058004001.
    • (1998) Educational and Psychological Measurement , vol.58 , pp. 541-568
    • Turner, N.E.1
  • 60
    • 0002366447 scopus 로고    scopus 로고
    • Construct explication through factor or component analysis: A review and evaluation of alternative procedures for determining the number of factors or components
    • Kluwer Academic/Plenum, New York, NY, E. Helmes (Ed.)
    • Velicer W.F., Eaton C.A., Fava J.L. Construct explication through factor or component analysis: A review and evaluation of alternative procedures for determining the number of factors or components. Problems and solutions in human assessment: Honoring Douglas N. Jackson at seventy 2000, 41-71. Kluwer Academic/Plenum, New York, NY. E. Helmes (Ed.).
    • (2000) Problems and solutions in human assessment: Honoring Douglas N. Jackson at seventy , pp. 41-71
    • Velicer, W.F.1    Eaton, C.A.2    Fava, J.L.3
  • 62
    • 27144446688 scopus 로고    scopus 로고
    • Parallel analysis with unidimensional binary data
    • doi: 10.1177/0013164404273941
    • Weng L., Cheng C. Parallel analysis with unidimensional binary data. Educational and Psychological Measurement 2005, 65:697-716. doi: 10.1177/0013164404273941.
    • (2005) Educational and Psychological Measurement , vol.65 , pp. 697-716
    • Weng, L.1    Cheng, C.2
  • 63
    • 58149371334 scopus 로고
    • Comparison of five rules for determining the number of components to retain
    • doi: 10.1037/0033-2909.99.3.432
    • Zwick W.R., Velicer W.F. Comparison of five rules for determining the number of components to retain. Psychological Bulletin 1986, 99(3):432-442. doi: 10.1037/0033-2909.99.3.432.
    • (1986) Psychological Bulletin , vol.99 , Issue.3 , pp. 432-442
    • Zwick, W.R.1    Velicer, W.F.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.