Sequential analysis and observational methods for the behavioral sciences

Sequential Analysis and Observational Methods for the Behavioral Sciences

Volumn , Issue , 2011, Pages 1-183

  Bakeman, Roger ^a   Quera, Vicenç ^b  

^a GEORGIA STATE UNIVERSITY   (United States)

^b UNIVERSITY OF BARCELONA   (Spain)

Author keywords

[No Author keywords available]

Indexed keywords

EID: 84924452996     PISSN: None     EISSN: None     Source Type: Book    
DOI: 10.1017/CBO9781139017343     Document Type: Book

References (153)

1. Adamson, L. B., & Bakeman, R. (1984). Mothers’ communicative actions: Changes during infancy. Infant Behavior and Development, 7, 467-478.
2. Adamson, L. B., Bakeman, R., & Deckner, D. F. (2004). he development of symbol- infused joint engagement. Child Development, 75,1171-1187.
3. Allison, P. D., & Liker, J. K. (1982). Analyzing sequential categorical data on dyadic interaction: A comment on Gottman. Psychological Bulletin, 91, 393-403.
4. Altmann, J. (1974). Observational study of behaviour: Sampling methods. Behaviour, 49, 227-267.
5. Altmann, S. A. (1965). Sociobiology of rhesus monkeys. II. Stochastics of social communication. Journal ofheoretical Biology, 8, 490-522.
6. Altmann, S. A., & Wagner, S. S. (1970). Estimating rates of behaviour from Hansen frequencies. Primates, 11, 181-183.
7. Arrington, R. E. (1943). Time sampling in studies of social behavior: A critical review of techniques and results with research suggestions. Psychological Bulletin, 40, 81-124.
8. Bakeman, R. (1978). Untangling streams of behavior: Sequential analyses of observation data. In G. P. Sackett (Ed.), Observing behavior (Vol. 2, Data collection and analysis methods, pp. 63-78). Baltimore: University Park Press.
9. Bakeman, R. (2000). Behavioral observations and coding. In H. T. Reis & C. K. Judd (Eds.), Handbook of research methods in social psychology (pp. 138-159). Cambridge: Cambridge University Press.
10. Bakeman, R. (2004). Sequential analysis. In M. Lewis-Beck, A. E. Bryman, & T. F. Liao (Eds.), he SAGE encyclopedia of social science research methods (Vol. 3, pp. 1024-1026). housand Oaks, CA: SAGE Publications.
11. Bakeman, R. (2006). He practical importance of findings. In K. McCartney, M. R. Burchinal, & K. L. Bub (Eds.), Best practices in quantitative methods for developmentalists (pp. 127-145). Monographs of the Society for Research in Child Development, 71(3, Serial No. 285).
12. Bakeman, R. (2010). Reflections on measuring behavior: Time and the grid. In G. Walford, E. Tucker, & M. Viswanathan (Eds.). he SAGE handbook of measurement (pp. 221-237). housand Oaks, CA: SAGE Publications.
13. Bakeman, R., & Adamson, L. B. (1984). Coordinating attention to people and objects in mother-infant interaction. Child Development, 55,1278-1289.
14. Bakeman, R., Adamson, L. B., Konner, M., & Barr, R. (1990). !Kung infancy: he social context of object exploration. Child Development, 61, 794-809.
15. Bakeman, R., & Brownlee, J. R. (1980). he strategic use of parallel play: A sequential analysis. Child Development, 51, 873-878.
16. Bakeman, R. (1982). Social rules governing object conflicts in toddlers and preschoolers. In K. H. Rubin & H. S. Ross (Eds.), Peer relationships and social skills in childhood (pp. 99-111). New York: Springer-Verlag.
17. Bakeman, R., Deckner, D. F., & Quera, V. (2005). Analysis of behavioral streams. In D. M. Teti (Ed.), Handbook of research methods in developmental science (pp. 394-420). Oxford: Blackwell Publishers.
18. Bakeman, R., & Dorval, B. (1989). he distinction between sampling independence and empirical independence in sequential analysis. Behavioral Assessment, 11, 31-37.
19. Bakeman, R., & Gottman, J. M. (1986). Observing interaction: An introduction to sequential analysis. Cambridge: Cambridge University Press.
20. Bakeman, R. (1997). Observing interaction: An introduction to sequential analysis (2nd ed.). Cambridge: Cambridge University Press.
21. Bakeman, R., & Helmreich, R. (1975). Cohesiveness and performance: Covariation and causality in an undersea environment. Journal of Experimental Social Psychology, 11, 478-489.
22. Bakeman, R., & Quera, V. (1992). SDIS: A sequential data interchange standard. Behavior Research Methods, Instruments, and Computers, 24, 554-559.
23. Bakeman, R. (1995a). Analyzing interaction: Sequential analysis with SDIS and GSEQ. Cambridge: Cambridge University Press.
24. Bakeman, R. (1995b). Log-linear approaches to lag-sequential analysis when consecutive codes may and cannot repeat. Psychological Bulletin, 118, 272-284.
25. Bakeman, R. (2008). ActSds and OdfSds: Programs for converting INTERACT and he Observer data files into SDIS timed-event sequential data files. Behavior Research Methods, 40, 869-872.
26. Bakeman, R. (2009). GSEQ 5 [Computer software and manual]. Retrieved from www.gsu.edu/~psyrab/gseq/gseq.html
27. Bakeman, R. (2012). Behavioral observation. In H. Cooper (Ed.-in-Chief), P. Camic, D. Long, A. Panter, D. Rindskopf, & K. J. Sher (Assoc. Eds.), APA handbooks in psychology: Vol. 1. APA handbook of research methods in psychology: Psychological research: Foundations, planning, methods, and psychometrics. Washington, DC: American Psychological Association.
28. Bakeman, R., Quera, V., & Gnisci A. (2009). Observer agreement for timed-event sequential data: A comparison of time-based and event-based algorithms. Behavior Research Methods, 41,137-147.
29. Bakeman, R., Quera, V., McArthur, D., & Robinson, B. F. (1997). Detecting sequential patterns and determining their reliability with fallible observers. Psychological Methods, 2, 357-370.
30. Bakeman, R., & Robinson, B. F. (1994). Understanding log-linear analysis with ILOG: An interactive approach. Hillsdale, NJ: Lawrence Erlbaum Associates.
31. Bakeman, R. (2005). Understanding statistics in the behavioral sciences. Mahwah, NJ: Lawrence Erlbaum Associates.
32. Bakeman, R., Robinson, B. F., & Quera, V. (1996). Testing sequential association: Estimating exact p values using sampled permutations. Psychological Methods, 1, 4-15.
33. Barker, R. G. (1963). he stream of behavior: Explorations of its structure and content. New York: Appleton-Century-Crofts.
34. Barker, R. G., & Wright, H. (1951). One boy’s day: A specimen record of behavior. New York: Harper.
35. Bass, R. F., & Aserlind, L. (1984). Interval and time-sample data collection procedures: Methodological issues. Advances in Learning and Behavioral Disabilities, 3,1-9.
36. Becker, M., Buder, E., Bakeman, R., Price, M., & Ward, J. (2003). Infant response to mother call patterns in Otolemur garnettii. Folia Primatologica, 74, 301-311.
37. Bekoff, M. (1979). Behavioral acts: Description, classification, ethogram analysis, and measurement. In R. B. Cairns (Ed.), he analysis of social interactions: Methods issues, and illustrations (pp. 67-80). Hillsdale, NJ. Lawrence Erlbaum Associates.
38. Belsky, J., & Most, R. K. (1981). From exploration to play: A cross-sectional study of infant free play behavior. Developmental Psychology, 17, 630-639.
39. Berk, R. A. (1979). Generalizability of behavioral observations: A clarification of interobserver agreement and interobserver reliability. American Journal of Mental Deficiency, 83, 460-472.
40. Bernard, C. (1927). An introduction to the study of experimental medicine. New York: Macmillan. [Introduction a l’étude de la medecine experimentale. Paris: J.-P. Baillière, 1865].
41. Bishop, Y. M. M., Fienberg, S. R., & Holland, P. W. (1975). Discrete multivariate analysis: heory and practice. Cambridge, MA: MIT Press.
42. Boice, R. (1983). Observational skills. Psychological Bulletin, 93, 3-29.
43. Brennan, R. L., & Kane, M. T. (1977). An index of dependability for mastery tests. Journal of Educational Measurement, 14, 277-289.
44. Buder, E. H., Warlaumont, A. S., Oller, D. K., & Chorna, L. B. (May, 2010). Dynamic indicators of mother-infant prosodic and illocutionary coordination. Proceedings of Speech Prosody 2010, Chicago, IL.
45. Castellan, N. J., Jr. (1992). Shuffling arrays: Appearances maybe deceiving. Behavior Research Methods, Instruments, and Computers, 24, 72-77.
46. Chorney, J. M., Garcia, A. M., Berlin, K., Bakeman, R., & Kain, Z. N. (2010). Time- window sequential analysis: An introduction for pediatric psychologists. Journal of Pediatric Psychology, 35,1060-1070. doi: 10.1093/jpepsy/jsq022.
47. Cochran W. G. (1954). Some methods for strengthening the common x2 tests. Biometrics, 10, 417-451.
48. Cohen, J. (1960). A coefficient of agreement for nominal scales. Educational and Psychological Measurement, 20, 37-46.
49. Cohen, J. (1968). Weighted kappa: Nominal scale agreement with provision for scaled disagreement or partial credit. Psychological Bulletin, 70, 213-220.
50. Cohen, J. (1977). Statistical power analysis for the behavioral sciences (revised edition). New York: Academic Press.
51. Cohen, J. (1990). hings I have learned (so far). American Psychologist, 45,1304-1312.
52. Cohen, J. (1994). he earth is round (p <.05). American Psychologist, 49, 997-1003.
53. Cohn, J. F. & Kanade, T. (2007). Use of automated facial image analysis for measurement of emotion expression. In J. A. Coan & J. J. B. Allen (Eds.), Handbook of emotion elicitation and assessment. Oxford University Press Series in Affective Science (pp. 222-238). New York: Oxford.
54. Cohn, J. F., & Sayette, M. A. (2010). Spontaneous facial expression in a small group can be automatically measured: An initial demonstration. Behavioral Research Methods, 42,1079-1086.
55. Cooper, H., Camic, P., Long, D., Panter, A., Rindskopf, D., & Sher, K. J. (Assoc. Eds.). (2012). APA handbooks in psychology: Vol. 3. APA handbook of research methods in psychology: Data analysis and research publication. Washington, DC: American Psychological Association.
56. Cooper, M., & Foote, J. (2002). Automatic music summarization via similarity analysis. Proceedings of the International Symposium on Music Information Retrieval, 81-85.
57. Cote, L. R., Bornstein, M. H., Haynes, O. M., & Bakeman, R. (2008). Mother-infant person- and object-directed interactions in Latino immigrant families: A comparative approach. Infancy, 13, 338-365.
58. Cronbach, L. J., Gleser, G. C., Nanda, H., & Rajaratnam, N. (1972). he dependability of behavioral measures. New York: Wiley.
59. Dale, R., & Spivey, M. J. (2006). Unraveling the dyad: Using recurrence analysis to explore patterns of syntactic coordination between children and caregivers in conversation. Language Learning, 56, 391-430.
60. Deckner, D. F., Adamson, L. B., & Bakeman, R. (2003). Rhythm in mother-toddler interactions. Infancy, 4, 201-217.
61. Dijkstra, W., & Taris, T. (1995). Measuring the agreement between sequences. Sociological Methods and Research, 24, 214-231.
62. Douglass, W. (1760). A summary, historical and political, of the first planting, progressive improvements, and present state of the British settlements in North- America (Vol. 1). London: R. and J. Dodsley.
63. Durbin, R., Eddy, S., Krogh, A., & Mitchison, G. (1998). Biological sequence analysis: Probabilistic models of proteins and nucleic acids. Cambridge: Cambridge University Press.
64. Eckmann, J.-P, Kamphorst, S. O., & Ruelle, D. (1987). Recurence plots of dynamical systems. Europhysics Letters, 5, 973-977.
65. Edgington, E. S., & Onghena, P. (2007). Randomization tests (4th ed.). Boca Raton, FL: Chapman and Hall/CRC.
66. Ekman, P. W., & Friesen, W. (1978). Facial Action Coding System: A technique for the measurement of facial movement. Palo Alto, CA: Consulting Psychologist Press.
67. Fagen, R. M., & Mankovich, N. J. (1980). Two-act transitions, partitioned contingency tables, and the ‘significant cells’ problem. Animal Behaviour, 28, 1017-1023.
68. Fienberg, E. S. (1980). he analysis of cross-classified categorical data. Cambridge, MA: MIT Press.
69. Fleiss, J. L. (1981). Statistical methods for rates and proportions (2nd ed.). New York: Wiley.
70. Fleiss, J. L., & Cohen, J. (1973). he equivalence ofweighted kappa and the intraclass correlation coefficient as measures of reliability. Educational and Psychological Measurement, 33, 613-619.
71. Fleiss, J. L., Cohen, J., & Everitt, B.S. (1969). Large sample standard errors of kappa and weighted kappa. Psychological Bulletin, 72, 323-327.
72. Foote, J., & Cooper, M. (2003). Media segmentation using self-similarity decomposition. Proceedings of the Society of Photo-Optical Instrumentation Engineers (SPIE), 5021, 167-175.
73. Fossey, D. (1972). Vocalizations of the mountain gorilla (Gorilla gorilla beringei). Animal Behaviour, 20, 36-53.
74. Gardner, W. (1995). On the reliability of sequential data: Measurement, meaning, and correction. In J. M. Gottman (Ed.), he analysis of change (pp. 339-359). Hillsdale, NJ: Lawrence Erlbaum Associates.
75. Galisson, F. (2000). Introduction to computational sequence analysis. Tutorial, ISMB 2000, 8th International Conference on Intelligent Systems for Molecular Biology, August, San Diego, CA. Available at www.iscb.org/ismb2000/tutor- ial_pdf/galisson4.pdf
76. Goodenough, F. (1928). Measuring behavior traits by means of repeated short samples. Journal of Juvenile Research, 12, 230-235.
77. Goodman, S. H., hompson, S. F., Rouse, M. H., & Bakeman, R. (2010). Extending models of sensitive parenting of infants to women at riskfor perinatal depression. Unpublished manuscript.
78. Gottman, J. M. (1979). Marital interaction: Experimental investigations. New York: Academic Press.
79. Gottman, J. (1980). On analyzing for sequential connection and assessing interobserver reliability for the sequential analysis of observational data. Behavioral Assessment, 2, 361-368.
80. Gottman, J. (1981). Time-series analysis: A comprehensive introduction for social scientists. Cambridge: Cambridge University Press.
81. Gottman, J. M., & Roy, A. K. (1990). Sequential analysis: A guide for behavioral research. Cambridge: Cambridge University Press.
82. Gros-Louis, J., West, M. J., Goldstein, M. H., & King, A. P. (2006). Mothers provide differential feedback to infants’ prelinguistic sounds. International Journal of Behavioral Development, 30, 509-516.
83. Haberman, S. J. (1978). Analysis of qualitative data (Vol. 1). New York: Academic Press.
84. Haberman, S. J. (1979). Analysis of qualitative data (Vol. 2). New York: Academic Press.
85. Haccou, P., & Meelis, E. (1992). Statistical analysis of behavioural data: An approach based on time-structured models. Oxford: Oxford University Press.
86. Haddock, C., Rindskopf, D., & Shadish, W. (1998). Using odds ratios as effect sizes for meta-analysis of dichotomous data: A primer on methods and issues. Psychological Methods, 3, 339-353.
87. Hall, S., & Oliver, C. (1997). A graphical method to aid the sequential analysis of observational data. Behavior Research Methods, Instruments, and Computers, 29, 563-573.
88. Hartmann, D. P. (1982). Assessing the dependability of observational data. In D. P. Hartmann (Ed.), Using observers to study behavior: New directions for methodology of social and behavioral science (No. 14, pp. 51-65). San Francisco: Jossey-Bass.
89. Hays, W. L. (1963). Statistics (1st ed.). New York: Holt, Rinehart, & Winston.
90. Helfman, J. I. (1996). Dotplot patterns: A literal look at pattern languages. heory and Practice of Object Systems, 2, 31-41.
91. Hutt, S. J., & Hutt, C. (1970). Direct observation and measurement of behaviour. Springfield, IL: homas.
92. Kaye, K. (1980). Estimating false alarms and missed events from interobserver agreement: A rationale. Psychological Bulletin, 88, 458-468.
93. Kennedy, J. J. (1992). Analyzing qualitative data: Log-linear analysis for behavioral research (2nd ed). New York: Praeger.
94. Konner, M. J. (1976). Maternal care, infant behavior, and development among the !Kung. In R. B. DeVore (Eds.), Kalahari hunter-gathers (pp. 218-245). Cambridge, MA: Harvard University Press.
95. Landis, J. R., & Koch, G. G. (1977). he measurement of observer agreement for categorical data. Biometrics, 33,159-174.
96. Maclure, M., & Willett, W. C. (1987). Misinterpretation and misuse of the kappa statistic. American Journal of Epidemiology, 126,161-169.
97. Mann, J., Haave, T. T., Plunkett, J. W., & Meisels, S. J. (1991). Time sampling: A methodological critique. Child Development, 62, 227-241.
98. Martin, P., & Bateson, P. (2007). Measuring behaviour: An introductory guide (3rd ed.). Cambridge: Cambridge University Press.
99. Maizel, J. V., Jr., & Lenk, R. P. (1981). Enhanced graphic matrix analysis of nucleic acid and protein sequences. Proceedings of the National Academy of Sciences, 78, 7665-7669.
100. Mannila, H., & Ronkainen, P. (1997). Similarity of event sequences. In Proceedings of the Fourth International Workshop on Temporal Representation and Reasoning. TIME’97 (p. 136-139). Daytona Beach, Florida.
101. Mannila, H., & Seppanen, J. (2001). Recognizing similar situations from event sequences. In Proceedings of the First SIAM Conference on Data Mining, Chicago. Available at www.cs.helsinki.fi/~mannila/postscripts/mannilasep- panensiam.pdf.
102. Marwan, N. (2003). Encounters with neighbours - Current developments of concepts based on recurrence plots and their applications. Ph.D. hesis, University of Potsdam, ISBN 3-00-012347-4.
103. Marwan, N., Romano, M. C., huel, M., & Kurths, J. (2007). Recurrence plots for the analysis of complex systems. Physics Reports, 438, 237-329. doi:10.1016/j. physrep.2006.11.001.
104. McGraw, K. O., & Wong, S. P. (1996). Forming inferences about some intraclass correlation coefficients. Psychological Methods, 1, 30-46.
105. Mehta, C., & Patel, N. (1992). StatXact: Statistical software for exact nonparametric inference. Cambridge, MA: Cytel Software Corporation.
106. Messinger, D. S., Mahoor, M. H., Chow, S., & Cohn, J. F. (2009). Automated measurement of facial expression in infant-mother interaction: A pilot study. Infancy, 14, 285-305.
107. Miller, R. G., Jr. (1966). Simultaneous statistical inference. New York: McGraw- Hill.
108. Mitchell, S. (1979). Interobserver agreement, reliability, and generalizability of data collected in observational studies. Psychological Bulletin, 86, 376-390.
109. Needleman, S. B., & Wunsch, C. D. (1970). A general method applicable to the search for similarities in the amino acid sequence of two proteins. Journal of Molecular Biology, 48, 443-453.
110. Nunnally, J. C. (1978). Psychometric theory (2nd ed.). NewYork: McGraw-Hill.
111. Oller, D. K. (2000). he emergence of the speech capacity. Mahwah, NJ: Lawrence Erlbaum Associates.
112. Olson, W. C. (1929). he measure of nervous habits in normal children. University of Minnesota Institute of Child Welfare Monograph, No. 3.
113. Özçalișkan, Ș., & Goldin-Meadow, S. (2009). When gesture-speech combinations do and do not index linguistic change. Language and Cognitive Processes, 24, 190-217.
114. Parrott, D. J., Gallagher, K. E., Vincent, W., & Bakeman, R. (2010). he link between alcohol use and aggression toward sexual minorities: An event-based analysis. Psychology of Addictive Behaviors, 24, 516-521.
115. Parten, M. B. (1932). Social participation among preschool children. Journal of Abnormal and Social Psychology, 27, 243-269.
116. Pearson, W. R., & Lipman, D. J. (1988). Improved tools for biological sequence comparison. Proceedings of the National Academy of Sciences, 85, 2444-2448.
117. Pianta, R. C., Belsky, J., Flouts, R., Morrison, F., & he National Institute of Child Health and Human Development (NICHD) Early Child Care Research Network (2007). Teaching: Opportunities to learn in America’s elementary classrooms. Science, 315,1795-1796. doi: 10.1126/science.1139719.
118. Powell, J., Martindale, A., & Kulp, S. (1975). An evaluation of time-sample measures of behavior. Journal of Applied Behavior Analysis, 8, 463-469.
119. Quera, V. (1990). A generalized technique to estimate frequency and duration in time sampling. Behavioral Assessment, 12, 409-424.
120. Quera, V. (2008). RAP: A computer program for exploring similarities in behavior sequences using random projections. Behavior Research Methods, 40, 21-32.
121. Quera, V., Bakeman, R., & Gnisci, A. (2007). Observer agreement for event sequences: Methods and software for sequence alignment and reliability estimates. Behavior Research Methods, 39, 39-49.
122. Rechten C., & Fernald, R. D. (1978). A sampled randomization test for examining single cells of behavioural transition matrices. Behaviour, 69, 217-227.
123. Richardson, D. C., & Dale, R. (2005). Looking to understand: he coupling between speakers’ and listeners’ eye movements and its relationship to discourse comprehension. Cognitive Science, 29, 39-54.
124. Riley, M. A., & Van Orden, G. C. (2005). Tutorials in contemporary nonlinear methods for the behavioral sciences. Digital publication available through the National Science Foundation. Available at www.nsf.gov/sbe/bcs/pac/nmbs/nmbs.jsp.
125. Robinson, B. F., & Bakeman, R. (1998). ComKappa: A Windows 95 program for calculating kappa and related statistics. Behavior Research Methods, Instruments, and Computers, 30, 731-732.
126. Rojahn, J., & Kanoy, R. C. (1985). Toward an empirically based parameter selection for time-sampling observation systems. Journal of Psychopathology and Behavioral Assessment, 7, 99-120.
127. Sackett, G. P. (1978). Measurement in observational research. In G. P. Sackett (Ed.), Observing behavior (Vol. 2, pp. 25-43). Baltimore: University Park Press.
128. Sackett, G. P. (1979). Lag sequential analysis of contingency and cyclicity in behavioral interaction research. In J. D. Osofsky (Ed.), Handbook of infant development (pp. 623-649). New York: Wiley.
129. Sankoff, D., & Kruskal, J. (Eds.). (1999). Time warps, string edits, and macromolecules: he theory and practice of sequence comparison (2nd ed.). Stanford, CA: CSLI Publications.
130. Shostak, M. (1981). Nisa: he life and words of a !Kung woman. Cambridge, MA: Harvard University Press.
131. Shrout, P. E., & Fleiss, J. L. (1979). Intrasclass correlations: Uses in assessing rater reliability. Psychological Bulletin, 86, 420-428.
132. Siegmund, D. (1985). Sequential analysis: Tests and confidence intervals. New York: Springer-Verlag.
133. Sim, J., & Wright, C. C. (2005). he kappa statistic in reliability studies: Use, interpretation, and sample size requirements. Physical herapy, 85, 257-268.
134. Smith, P. K. (1978). A longitudinal study of social participation in preschool children: Solitary ad parallel play reexamined. Developmental Psychology, 14, 517-523.
135. Stevens, S. S. (1946). On the theory of scales of measurement. Science, 103, 677-680.
136. Suen, H. K. (1988). Agreement, reliability, accuracy, and validity: Toward a clarification. Behavioral Assessment, 10, 343-366.
137. Suen, H. K., & Ary, D. (1989). Analyzing quantitative behavioral observation data. Hillsdale, NJ: Lawrence Erlbaum Associates.
138. Suomi, S. J. (1979). Levels of analysis for interactive data collected on monkeys living in complex social groups. In M. E. Lamb, S. J. Suomi, & G. R. Stephenson (Eds.), Social interaction analysis: Methodological issues (pp. 119-135). Madison: University of Wisconsin Press.
139. Tyler, S. (1979). Time sampling: A matter of convention. Animal Behaviour, 27, 801-810.
140. Ubersax, J. S. (1982). A generalized kappa coefficient. Educational and Psychological Measurement, 42,181-183.
141. Ueno, A., & Matsuzawa, T. (2004). Food transfer between chimpanzee mothers and their infants. Primates, 45, 231-239.
142. Umesh, U. N., Peterson, R. A., & Sauber M. H. (1989). Interjudge agreement and the maximum value of kappa. Educational and Psychological Measurement, 49, 835-850.
143. Walford, G., Tucker, E., & Viswanathan, M., (Eds.). (2010). he SAGE handbook of measurement. housand Oaks, CA: SAGE Publications.
144. Warlaumont A. S., Oller, D. K., Buder, E. H., Dale R., Kozma, R. (2010). Data-driven automated acoustic analysis of human infant vocalizations using neural network tools. Journal of the Acoustical Society of America, 127, 2563-2577.
145. Warlaumont, A. S., Oiler, D. K., Dale, R., Richards, J. A., Gilkerson, J., & Dongxin, X. (2010). Vocal interaction dynamics of children with and without autism. In S. Ohlsson & R. Catrambone (Eds.), Proceedings of the 32nd Annual Meeting of the Cognitive Science Society (pp. 121-126). Austin, TX: Cognitive Science Society.
146. White, D. P., King, A. P., & Duncan, S. D. (2002). Voice recognition technology as a tool for behavioral research. Behavior Research Methods, Instruments, & Computers, 34,1-5.
147. Wickens, T. D. (1989). Multiway contingency tables analysis for the social sciences. Hillsdale, NJ: Lawrence Erlbaum Associates.
148. Wiggins, J. S. (1973). Personality and prediction. Reading, MA: Addison-Wesley.
149. Wilkinson, L., & Task Force on Statistical Inference (1999). Statistical methods in psychology journals: Guidelines and explanations. American Psychologist, 54, 594-604.
150. Wolff, P. (1966). he causes, controls, and organization of the neonate. Psychological Issues, 5 (whole No. 17).
151. Yoder, P., & Symons, F. (2010). Observational measurement of behavior. New York: Springer.
152. Yoder, P. J., & Tapp, J. (2004). Empirical guidance for time-window sequential analysis of single cases. Journal of Behavioral Education, 13, 227-246.
153. Zbilut, J. P., & Webber, C. L., Jr. (2007). Recurrence quantification analysis: Introduction and historical context. International Journal of Bifurcation and Chaos, 17, 3477-3481.