{"id":633,"date":"2014-11-20T11:28:05","date_gmt":"2014-11-20T16:28:05","guid":{"rendered":"https:\/\/web.uri.edu\/cprc\/?page_id=633"},"modified":"2019-05-13T10:47:08","modified_gmt":"2019-05-13T14:47:08","slug":"methodology","status":"publish","type":"page","link":"https:\/\/web.uri.edu\/cprc\/publications\/methodology\/","title":{"rendered":"Methodology  \u00a0"},"content":{"rendered":"<h1 class=\"entry-title\">Publications: Methodology<\/h1>\n<p>Aldenderfer, M. and R. Blashfield (1984).\u00a0<span style=\"text-decoration: underline\">Cluster Analysis<\/span>. Newbury Park, CA, SAGE Publications, Inc.<\/p>\n<p>Arruda, J. E., M. D. Weiler, et al. (1996). &#8220;A guide for applying principal-components analysis and confirmatory factor analysis to quantitative electroencephalogram data.&#8221;\u00a0<span style=\"text-decoration: underline\">International Journal of Psychophysiology<\/span>\u00a0<strong>23<\/strong>: 63-81.<\/p>\n<p>Atlas, R. and J. Overall (1994). &#8220;Comparative evaluation of two superior stopping rules for hierarchical cluster analysis.&#8221;\u00a0<span style=\"text-decoration: underline\">Psychometrika<\/span>\u00a0<strong>59<\/strong>: 581-591.<\/p>\n<p>Beaman, J. and J. Vaske (1995). &#8220;An ipsative clustering model for analyzing attitudinal data.&#8221;<span style=\"text-decoration: underline\">Journal of Leisure Research<\/span>\u00a0<strong>27<\/strong>: 168-191.<\/p>\n<p>Bentler, P. M. (1990). &#8220;Comparative fit indices in structural models.&#8221;\u00a0<span style=\"text-decoration: underline\">Psychological Bulletin<\/span><strong>107<\/strong>: 238-246.<\/p>\n<p>Bullock, H. E. and L. L. Harlow (1994). &#8220;Causation issues in structural equation modeling research.&#8221;\u00a0<span style=\"text-decoration: underline\">Structural Equation Modeling<\/span>\u00a0<strong>1<\/strong>: 253-267.<\/p>\n<p>Campbell, D. T. and J. C. Stanley (1963).\u00a0<span style=\"text-decoration: underline\">Experimental and Quasi-experimental Designs for Research<\/span>. Boston, Houghton Mifflin Company.<\/p>\n<p>Cattell, R. B. (1966). &#8220;The screen test for the number of factors.&#8221;\u00a0<span style=\"text-decoration: underline\">Multivariate Behavioral Research<\/span>\u00a0<strong>1<\/strong>: 245-276.<\/p>\n<p>Cliff, N. (1983). &#8220;Some cautions concerning the application of causal modeling methods.&#8221;<span style=\"text-decoration: underline\">Multivariate Behavioral Research<\/span>\u00a0<strong>18<\/strong>: 115-126.<\/p>\n<p>Cohen, S. and G. M. Williamson (1987). Perceived stress in a probability sample of the United States.\u00a0<span style=\"text-decoration: underline\">Psychology and Health<\/span>. S. Spacapan and S. Oskamp. Newbury Park, CA, Sage<strong>:\u00a0<\/strong>31-67.<\/p>\n<p>Colby, S. M. and W. F. Velicer (?). &#8220;A comparison of four alternative procedures for handling missing data in time series analysis.&#8221; .<\/p>\n<p>Cronbach, L. J. (1951). &#8220;Coefficient alpha and the internal structure of tests.&#8221;\u00a0<span style=\"text-decoration: underline\">Psychometrika<\/span><strong>16<\/strong>: 297-334.<\/p>\n<p>Ding, L., W. F. Velicer, et al. (1995). &#8220;Effects of estimation methods, number of indicators per factor, and improper solutions on structural equation modeling fit indices.&#8221;\u00a0<span style=\"text-decoration: underline\">Structural Equation Modeling<\/span>\u00a0<strong>2<\/strong>(2): 119-144.<\/p>\n<p>Eckes, T. and P. Orlik (1993). &#8220;An error variance approach to two-mode hierarchical clustering.&#8221;\u00a0<span style=\"text-decoration: underline\">Journal of Classification<\/span>\u00a0<strong>10<\/strong>: 51-74.<\/p>\n<p>Fava, J. L. and W. F. Velicer (1992). &#8220;The effects of overextraction on factor and component analysis.&#8221;\u00a0<span style=\"text-decoration: underline\">Multivariate Behavioral Research<\/span>\u00a0<strong>27<\/strong>: 387-415.<\/p>\n<p>Fava, J. L. and W. F. Velicer (1992). &#8220;An empirical comparison of factor, image component, and scale scores.&#8221;\u00a0<span style=\"text-decoration: underline\">Multivariate Behavioral Research<\/span>\u00a0<strong>27<\/strong>: 301-322.<\/p>\n<p>Fava, J. L. and W. F. Velicer (1996). &#8220;The effects of underextraction in factor and component analyses.&#8221;\u00a0<span style=\"text-decoration: underline\">Educational and Psychological Measurement<\/span>\u00a0<strong>56<\/strong>(6): 907-929.<\/p>\n<p>Fitzgerald, T. E. and J. O. Prochaska (1990). &#8220;Nonprogressing profiles in smoking cessation: What keeps people refractory to self-change?&#8221;\u00a0<span style=\"text-decoration: underline\">Journal of Substance Abuse<\/span>\u00a0<strong>2<\/strong>: 87-105.<\/p>\n<p>Guadagnoli, E. and W. F. Velicer (1988). &#8220;Relation of sample size to the stability of component patterns.&#8221;\u00a0<span style=\"text-decoration: underline\">Psychological Bulletin<\/span>\u00a0<strong>103<\/strong>(2): 265-275.<\/p>\n<p>Guadagnoli, E. and W. F. Velicer (1991). &#8220;A comparison of pattern matching indices.&#8221;<span style=\"text-decoration: underline\">Multivariate Behavioral Research<\/span>\u00a0<strong>26<\/strong>: 323-343.<\/p>\n<p>Harrop, J. W. and W. F. Velicer (1985). &#8220;A comparison of alternative approaches to the analysis of interrupted time series.&#8221;\u00a0<span style=\"text-decoration: underline\">Multivariate Behavioral Research<\/span>\u00a0<strong>20<\/strong>: 27-44.<\/p>\n<p>Harrop, J. W. and W. F. Velicer (1990). &#8220;Computer programs for interrupted time series analysis: I. A quantitative evaluation.&#8221;\u00a0<span style=\"text-decoration: underline\">Multivariate Behavioral Research<\/span>\u00a0<strong>25<\/strong>(2): 219-231.<\/p>\n<p>Harrop, J. W. and W. F. Velicer (1990). &#8220;Computer programs for interrupted time series analysis: II. A quantitative evaluation.&#8221;\u00a0<span style=\"text-decoration: underline\">Multivariate Behavioral Research<\/span>\u00a0<strong>25<\/strong>: 233-248.<\/p>\n<p>Horn, J. I. (1965). &#8220;A rationale and test for the number of factors in factor analysis.&#8221;<span style=\"text-decoration: underline\">Psychometrika<\/span>\u00a0<strong>30<\/strong>: 179-185.<\/p>\n<p>Hughes, S., W. Velicer, et al. (1990).\u00a0<span style=\"text-decoration: underline\">The application of cluster analysis to smoking cessation research<\/span>. American Psychological Association, Boston, MA.<\/p>\n<p>Johnson, S. (1992). &#8220;Methodological issues in diabetes research.&#8221;\u00a0<span style=\"text-decoration: underline\">Diabetes Care<\/span>\u00a0<strong>15<\/strong>: 1658-1667.<\/p>\n<p>Joreskog, K. G. and Sorbom (1989). LISREL 7: A guide to the program and applications. Chicago, IL, SPSS, Inc.<\/p>\n<p>King, A. C., M. Kiernan, et al. (1997). &#8220;Can we identify who will adhere to long-term physical activity? Signal detection methodology as a potential aid to clinical decision making.&#8221;\u00a0<span style=\"text-decoration: underline\">Health Psychology<\/span>\u00a0<strong>16<\/strong>: 380-389.<\/p>\n<p>Kraemer, H. C. (1988). &#8220;Assessment of 2 x 2 associations: Generalization of signal detection methodology.&#8221;\u00a0<span style=\"text-decoration: underline\">The American Statistician<\/span>\u00a0<strong>42<\/strong>: 37-49.<\/p>\n<p>Lang, J. M. and K. J. Rothman (1998). &#8220;That confounded p-value.&#8221;\u00a0<span style=\"text-decoration: underline\">Epidemiology<\/span>\u00a0<strong>9<\/strong>: 7-8.<\/p>\n<p>Latane, B., A. Nowak, et al. (1994). &#8220;Measuring emergent social phenomena: Dynamism, polarization, and clustering as order parameters of social systems.&#8221;\u00a0<span style=\"text-decoration: underline\">Behavioral Science<\/span>\u00a0<strong>39<\/strong>: 1-24.<\/p>\n<p>Lautenschlager, G. J. (1989). &#8220;A comparison of alternatives to conducting Monte Carlo analyses for determining parallel analysis criteria.&#8221;\u00a0<span style=\"text-decoration: underline\">Multivariate Behavioral Research<\/span>\u00a0<strong>24<\/strong>(3): 265-395.<\/p>\n<p>Levesque, D. and R. Gelles (1997).\u00a0<span style=\"text-decoration: underline\">Battering men: Applying the Transtheoretical model to desistance and change<\/span>. 5th International Family Violence Research Conference, Durham, NH.<\/p>\n<p>Loftus, G. R. (1996). &#8220;Psychology will be a much better science when we change the way we analyze data.&#8221;\u00a0<span style=\"text-decoration: underline\">Current Directions in Psychological Science<\/span>\u00a0<strong>5<\/strong>: 161-171.<\/p>\n<p>Maddock, J. E., R. G. LaForge, et al. (1997). &#8220;Development of a short psychometrically reliable alcohol problem index for college students.&#8221;\u00a0<span style=\"text-decoration: underline\">Unpublished manuscript<\/span>.<\/p>\n<p>Marsh, H. W., J. R. Balla, et al. (1988). &#8220;Goodness-of-fit indices in confirmatory factor analysis: The effect of sample size.&#8221;\u00a0<span style=\"text-decoration: underline\">Psychological Bulletin<\/span>\u00a0<strong>103<\/strong>: 391-410.<\/p>\n<p>Martin, R. A., W. F. Velicer, et al. (1995). &#8220;Latent transition analysis applied to the stages of change for smoking cessation.&#8221;\u00a0<span style=\"text-decoration: underline\">Addictive Behaviors<\/span>\u00a0<strong>20<\/strong>: 67-80.<\/p>\n<p>McDonald, R. P. and H. W. Marsh (1990). &#8220;Choosing a multivariate model: Noncentrality and goodness of fit.&#8221;\u00a0<span style=\"text-decoration: underline\">Psychological Bulletin<\/span>\u00a0<strong>107<\/strong>: 247-255.<\/p>\n<p>Meehl, P. E. (1954).\u00a0<span style=\"text-decoration: underline\">Clinical versus Statistical Prediction: A Theoretical Analysis and Review of the Literature<\/span>. Minneapolis, MN, University of Minnesota Press.<\/p>\n<p>Milligan, G. W. (1980). &#8220;An examination of the effect of six types of error perturbation on fifteen clustering algorithms.&#8221;\u00a0<span style=\"text-decoration: underline\">Psychometrika<\/span>\u00a0<strong>45<\/strong>: 325-342.<\/p>\n<p>Milligan, G. W. (1981). &#8220;A review of Monte Carlo tests of cluster analysis.&#8221;\u00a0<span style=\"text-decoration: underline\">Multivariate Behavioral Research<\/span>\u00a0<strong>16<\/strong>: 379-407.<\/p>\n<p>Milligan, G. W. and M. C. Cooper (1987). &#8220;Methodology review: Clustering methods.&#8221;\u00a0<span style=\"text-decoration: underline\">Applied Psychological Measurement<\/span>\u00a0<strong>11<\/strong>: 329-354.<\/p>\n<p>Mueller, R. O. (1996). General structural equation modeling.\u00a0<span style=\"text-decoration: underline\">Basic Principles of Structural Equation Modeling<\/span>. New York, NY, Springer-Verlag New York, Inc.<strong>:\u00a0<\/strong>129-178.<\/p>\n<p>Norman, G. (1998). A cluster analytic test of the Transtheoretical model applied to exercise behavior.\u00a0<span style=\"text-decoration: underline\">Psychology<\/span>. Kingston, RI, University of Rhode Island.<\/p>\n<p>Norman, G. J., W. F. Velicer, et al. (1998). &#8220;Dynamic typology clustering with the stages of change for smoking cessation.&#8221;\u00a0<span style=\"text-decoration: underline\">Addictive Behaviors<\/span>\u00a0<strong>23<\/strong>: 139-153.<\/p>\n<p>Overall, J. and K. Magee (1992). &#8220;Replication as a rule for determining the number of clusters in hierarchial cluster analysis.&#8221;\u00a0<span style=\"text-decoration: underline\">Applied Psychological Measurement<\/span>\u00a0<strong>16<\/strong>: 119-128.<\/p>\n<p>Rodgers, J. and T. Thompson (1992). &#8220;Seriation and multidimensional scaling: A data analysis approach to scaling asymmetric proximity matrices.&#8221;\u00a0<span style=\"text-decoration: underline\">Applied Psychological Measurement<\/span>\u00a0<strong>16<\/strong>: 105-117.<\/p>\n<p>Rossi, J. S. (1982).\u00a0<span style=\"text-decoration: underline\">Meta-analysis, power analysis and artifactual controversy: The case of spontaneous recovery of verbal associations<\/span>. Eastern Psychological Association, Baltimore, MD.<\/p>\n<p>Rossi, J. S. (1985). &#8220;Tables of effect size for z score tests of differences between proportions and between correlation coefficients.&#8221;\u00a0<span style=\"text-decoration: underline\">Educational and Psychological Measurement<\/span>\u00a0<strong>45<\/strong>: 737-743.<\/p>\n<p>Rossi, J. S. (1987). &#8220;One-way ANOVA from summary statistics.&#8221;\u00a0<span style=\"text-decoration: underline\">Educational and Psychological Measurement<\/span>\u00a0<strong>47<\/strong>: 37-38.<\/p>\n<p>Rossi, J. S., J. O. Prochaska, et al. (1988).\u00a0<span style=\"text-decoration: underline\">A cluster-analytic approach to defining light and heavy smoking<\/span>. American Psychological Association, Atlanta, GA.<\/p>\n<p>Rossi, J. S. (1988). &#8220;ONEWAY: A BASIC program for computing ANOVA from summary statistics.&#8221;\u00a0<span style=\"text-decoration: underline\">Behavior Research Methods, Instruments and Computers<\/span>\u00a0<strong>20<\/strong>(3): 347-348.<\/p>\n<p>Rossi, J. (1990). &#8220;Statistical power of psychological research: What have we gained in 20 years?&#8221;\u00a0<span style=\"text-decoration: underline\">Journal of Consulting and Clinical Psychology<\/span>\u00a0<strong>58<\/strong>: 646-656.<\/p>\n<p>Rossi, J. S. (1990). How often are our statistics wrong? A statistics class exercise.\u00a0<span style=\"text-decoration: underline\">Teaching Psychology: A Handbook<\/span>. J. Hartley and W. J. McKeachie. Hillsdale, NJ, Lawrence Erlbaum Associates.\u00a0<strong>14:\u00a0<\/strong>98-101.<\/p>\n<p>Rossi, J. S. (?). Inadequate statistical power and artifactual controversy: Some consequences of statistical significance testing ((Draft).\u00a0<span style=\"text-decoration: underline\">What If There Were No Significance Tests?<\/span>\u00a0L. Harlow and S. Mulaik. Hillsdale, NJ, Lawrence Erlbaum.<\/p>\n<p>Sharma, S., S. Durasula, et al. (1989). &#8220;Some results on the behavior of alternate covariance structure estimation procedures in the presence of non-normal data.&#8221;\u00a0<span style=\"text-decoration: underline\">Journal of Marketing Research<\/span>\u00a0<strong>26<\/strong>: 214-221.<\/p>\n<p>SPSS (1990). SPSS Base System (Release 4.0) [Computer software]. Chicago, IL, Author.<\/p>\n<p>Tabachnick, B. G. and L. S. Fidell (1989).\u00a0<span style=\"text-decoration: underline\">Using Multivariate Statistics<\/span>. New York, NY, Harper Collins Publisher,Inc.<\/p>\n<p>Tucker, L. R. and C. Lewis (1973). &#8220;A reliability coefficient for maximum likelihood factor analysis.&#8221;\u00a0<span style=\"text-decoration: underline\">Psychometrika<\/span>\u00a0<strong>38<\/strong>: 1-10.<\/p>\n<p>VanBuuren, S. and W. Heiser (1989). &#8220;Clustering N objects into K groups under optimal scaling of variables.&#8221;\u00a0<span style=\"text-decoration: underline\">Psychometrika<\/span>\u00a0<strong>54<\/strong>: 699-706.<\/p>\n<p>Velicer, W. F. (1974). &#8220;An empirical comparison of the stability of factor analysis, principal component analysis, and image analysis.&#8221;\u00a0<span style=\"text-decoration: underline\">Educational and Psychological Measurement<\/span>\u00a0<strong>34<\/strong>: 563-572.<\/p>\n<p>Velicer, W. F. (1976). &#8220;Determining the number of components from the matrix of partial correlations.&#8221;\u00a0<span style=\"text-decoration: underline\">Psychometrika<\/span>\u00a0<strong>41<\/strong>: 321-327.<\/p>\n<p>Velicer, W. F. (1976). &#8220;The relation between factor score estimates, image scores and principal component scores.&#8221;\u00a0<span style=\"text-decoration: underline\">Educational and Psychological Measurement<\/span>\u00a0<strong>36<\/strong>: 149-159.<\/p>\n<p>Velicer, W. F. (1977). &#8220;An empirical comparison of factor, image, and principal component patterns.&#8221;\u00a0<span style=\"text-decoration: underline\">Multivariate Behavioral Research<\/span>\u00a0<strong>12<\/strong>: 3-22.<\/p>\n<p>Velicer, W. F. (1978). &#8220;Suppressor variables and the semipartial correlation coefficient.&#8221;<span style=\"text-decoration: underline\">Educational and Psychological Measurement<\/span>\u00a0<strong>38<\/strong>: 953-958.<\/p>\n<p>Velicer, W. F., A. C. Peacock, et al. (1982). &#8220;A comparison of component and factor patterns: A Monte Carlo approach.&#8221;\u00a0<span style=\"text-decoration: underline\">Multivariate Behavioral Research<\/span>\u00a0<strong>17<\/strong>: 371-388.<\/p>\n<p>Velicer, W. F. (1982). &#8220;Prediction and association for N-way classification tables.&#8221;\u00a0<span style=\"text-decoration: underline\">Evaluation Review<\/span>\u00a0<strong>6<\/strong>(2): 247-266.<\/p>\n<p>Velicer, W. F. and J. Harrop (1983). &#8220;The reliability and accuracy of time series model identification.&#8221;\u00a0<span style=\"text-decoration: underline\">Evaluation Review<\/span>\u00a0<strong>7<\/strong>(4): 551-560.<\/p>\n<p>Velicer, W. F., C. C. DiClemente, et al. (1984). &#8220;Item format and the structure of the personal orientation inventory.&#8221;\u00a0<span style=\"text-decoration: underline\">Applied Psychological Measurement<\/span>\u00a0<strong>8<\/strong>(4): 409-419.<\/p>\n<p>Velicer, W. F. and R. P. McDonald (1984). &#8220;Time series analysis without model identification.&#8221;<span style=\"text-decoration: underline\">Multivariate Behavioral Research<\/span>\u00a0<strong>19<\/strong>: 33-47.<\/p>\n<p>Velicer, W. F., J. M. Govia, et al. (1985). &#8220;Item format and the structure of the Buss-Durkee hostility inventory.&#8221;\u00a0<span style=\"text-decoration: underline\">Aggressive Behavior<\/span>\u00a0<strong>11<\/strong>: 65-82.<\/p>\n<p>Velicer, W. F. and J. L. Fava (1987). &#8220;An evaluation of the effects of variable sampling on component, image, and factor analysis.&#8221;\u00a0<span style=\"text-decoration: underline\">Multivariate Behavioral Research<\/span>\u00a0<strong>22<\/strong>: 193-209.<\/p>\n<p>Velicer, W. F., J. L. Fava, et al. (1988). Component Analysis Extended [Computer Program]. Kingston, RI, University of Rhode Island.<\/p>\n<p>Velicer, W. F. and D. N. Jackson (1990). &#8220;Component analysis versus common factor analysis: Some issues in selecting an appropriate procedure.&#8221;\u00a0<span style=\"text-decoration: underline\">Multivariate Behavioral Research<\/span>\u00a0<strong>25<\/strong>(1): 1-28.<\/p>\n<p>Velicer, W. F. and D. N. Jackson (1990). &#8220;Component analysis versus common factor analysis: Some further observations.&#8221;\u00a0<span style=\"text-decoration: underline\">Multivariate Behavioral Research<\/span>\u00a0<strong>25<\/strong>(1): 97-114.<\/p>\n<p>Velicer, W. F. and R. P. McDonald (1991). &#8220;Cross-sectional time series designs: A general transformation approach.&#8221;\u00a0<span style=\"text-decoration: underline\">Multivariate Behavioral Research<\/span>\u00a0<strong>26<\/strong>(2): 247-254.<\/p>\n<p>Velicer, W. F., S. L. Hughes, et al. (1992). &#8220;An empirical Typology of subjects within stages of change (Abstract).&#8221;\u00a0<span style=\"text-decoration: underline\">International Journal of Psychology<\/span>\u00a0<strong>27<\/strong>: 623.<\/p>\n<p>Velicer, W. F., C. A. Redding, et al. (1992). &#8220;A time series investigation of three nicotine regulation models.&#8221;\u00a0<span style=\"text-decoration: underline\">Addictive Behaviors<\/span>\u00a0<strong>17<\/strong>: 325-345.<\/p>\n<p>Velicer, W. F. (1994). Time Series Models of Individual Substance Abusers.\u00a0<span style=\"text-decoration: underline\">Advances in Data Analysis for Prevention, Intervention and Research<\/span>. L. M. Collins and L. A. Seitz. Rockeville, MD, National Institute on Drug Abuse<strong>:\u00a0<\/strong>264-299.<\/p>\n<p>Velicer, W. V., R. A. Martin, et al. (1996). &#8220;Latent transition analysis for longitudinal data.&#8221;<span style=\"text-decoration: underline\">Addiction<\/span>\u00a0<strong>91<\/strong>(Suppl.): S197-S209.<\/p>\n<p>Velicer, W. F. (1996). Stability of well-defined structures, CPRC.<\/p>\n<p>Velicer, W. and G. Norman (1996). &#8220;Dynamic typologies: Cluster analysis in the temporal domain.&#8221;\u00a0<strong>Submitted for review<\/strong>.<\/p>\n<p>Velicer, W. F. and B. A. Plummer (1998). &#8220;Time series analysis in historiometry: A comment on Simonton.&#8221;\u00a0<span style=\"text-decoration: underline\">Journal of Personality<\/span>\u00a0<strong>66<\/strong>(3): 477-486.<\/p>\n<p>Velicer, W. F. and J. L. Fava (1998). &#8220;Effects of variable and subject sampling on factor pattern recovery.&#8221;\u00a0<span style=\"text-decoration: underline\">Psychological Methods<\/span>\u00a0<strong>3<\/strong>(2): 231-251.<\/p>\n<p>Wallace, R. B. and P. L. Colsher (1990). &#8220;Enhancing the utility of quantity-frequency measures of alcohol consumptions with assessments of problem drinking in a population study: A methodologic note.&#8221;\u00a0<span style=\"text-decoration: underline\">Annals of Epidemiology<\/span>\u00a0<strong>1<\/strong>: 157-165.<\/p>\n<p>Ward, J. H., Jr. (1963). &#8220;Hierarchical grouping to optimize an objective function.&#8221;\u00a0<span style=\"text-decoration: underline\">Journal of the American Statistical Association<\/span>\u00a0<strong>58<\/strong>: 236-244.<\/p>\n<p>Yates, F. (1934). &#8220;Contingency tables involving small numbers and the chi-square test.&#8221;<span style=\"text-decoration: underline\">Journal of the Royal Statistical Society (Series B)<\/span>\u00a0<strong>1(Suppl.)<\/strong>: 217-235.<\/p>\n<p>Zwick, W. R. and W. F. Velicer (1982). &#8220;Factors influencing four rules for determining the number of components to retain.&#8221;\u00a0<span style=\"text-decoration: underline\">Multivariant Behavioral Research<\/span>\u00a0<strong>17<\/strong>: 253-269.<\/p>\n<p>Zwick, W. R. and W. F. Velicer (1986). &#8220;A comparison of five rules for determining the number of components to retain.&#8221;\u00a0<span style=\"text-decoration: underline\">Psychological Bulletin<\/span>\u00a0<strong>99<\/strong>: 432-442.<\/p>\n","protected":false},"excerpt":{"rendered":"<p>Publications: Methodology Aldenderfer, M. and R. Blashfield (1984).\u00a0Cluster Analysis. Newbury Park, CA, SAGE Publications, Inc. Arruda, J. E., M. D. Weiler, et al. (1996). &#8220;A guide for applying principal-components analysis and confirmatory factor analysis to quantitative electroencephalogram data.&#8221;\u00a0International Journal of Psychophysiology\u00a023: 63-81. Atlas, R. and J. Overall (1994). &#8220;Comparative evaluation of two superior stopping rules [&hellip;]<\/p>\n","protected":false},"author":2,"featured_media":0,"parent":77,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":{"_acf_changed":false,"footnotes":"","_links_to":"","_links_to_target":""},"class_list":["post-633","page","type-page","status-publish","hentry"],"acf":[],"_links":{"self":[{"href":"https:\/\/web.uri.edu\/cprc\/wp-json\/wp\/v2\/pages\/633","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/web.uri.edu\/cprc\/wp-json\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/web.uri.edu\/cprc\/wp-json\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/web.uri.edu\/cprc\/wp-json\/wp\/v2\/users\/2"}],"replies":[{"embeddable":true,"href":"https:\/\/web.uri.edu\/cprc\/wp-json\/wp\/v2\/comments?post=633"}],"version-history":[{"count":3,"href":"https:\/\/web.uri.edu\/cprc\/wp-json\/wp\/v2\/pages\/633\/revisions"}],"predecessor-version":[{"id":2899,"href":"https:\/\/web.uri.edu\/cprc\/wp-json\/wp\/v2\/pages\/633\/revisions\/2899"}],"up":[{"embeddable":true,"href":"https:\/\/web.uri.edu\/cprc\/wp-json\/wp\/v2\/pages\/77"}],"wp:attachment":[{"href":"https:\/\/web.uri.edu\/cprc\/wp-json\/wp\/v2\/media?parent=633"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}