Style Manuals and Writing
Publication Manual of the American Psychological Association: 5th edition.
(2001). Washington, D.C.: American Psychological Association
Morgan, S.E., Riechert, T. & Harrison, T.R. (2002). From numbers to words:
Reporting statistical results for the social sciences. Boston: Allyn & Bacon.
th
Strunk, W. Jr. & White, E.B. (1999, 4 Edition) The Elements of Style. Boston:
Allyn and Bacon.
General Methods Texts
Cresswell, J.W. (1994). Research design: Qualitative & quantitative approaches.
Thousand Oaks, CA: Sage.
Gall, M.D., Gall, J.P., & Borg, W.R. (2002). Educational Research: An
th
Introduction. (7 Edition). Boston: Allyn & Bacon.
Jaeger, R.M. (ed.). (1988). Complementary Methods for Research in Education.
Washington, D.C.: American Educational Research Association.
Keeves, J.P. (Ed.) (1997). Educational research, methodology, and
measurement: An international handbook. New York: Pergamon.
Vogt, W. P. (1999). Dictionary of Statistics & Methodology: A Nontechnical Guide
for the Social Sciences. Thousand Oaks, CA: Sage Publications.
Survey Research and Measurement
Babbie, E. (1990). Survey research methods. Belmont, CA: Wadsworth.
Braun, H.I., Jackson, D.N., & Wiley, D.E. (2002). The role of constructs in
psychological and educational measurement. Mahwah, New Jersey: Lawrence Erlbaum
Associates
Dillman, D.A. (2000). Mail and internet surveys: The tailored design method. New York:
Wiley & Sons.
Salaant, P. and Dillman, D. (1994) How to conduct your own survey. New York:
John Wiley & Sons.
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Statistics
Cohen, J. (1988). Statistical power analysis for the behavioral sciences. Hillsdale, NJ:
Lawrence Erlbaum Associates.
Hays, W.L. (1994). Statistics (5th ed.). Fort Worth, TX: Harcourt Brace College
Publisher.
Kanji, G.K. (1999). 100 statistical tests. Thousand Oaks, CA: Sage Publications.
Loehlin, J.C. (2004). Latent variable models: an introduction to factor, path, and
structural equation analysis. Mahwah, NJ: Lawrence Erlbaum Associates.
Pedhazur, E.J. & Schmelkin, L. P. (1991), Measurement, design, and analysis:
An integrated approach. Mahwah, New Jersey: Erlbaum.
Pedhazur, E.J. (1997). Multiple regression in behavioral research: Explanation and
prediction. Toronto: Wadsworth.
Popham, J. & Sirotnik, K.A. (1992). Understanding statistics in education. Itasca,
Illinois: F.E. Peacock Publishers, Inc.
Stevens, J.P. (2002). Applied multivariate statistics for the social sciences. Mahwah, NJ:
Lawrence Erlbaum Associates.
Tabachnick, B.G., & Fidell, L.S. (2001). Using multivariate statistics. Boston: Allyn and
Bacon.
Statistics-Light
Bracey, G.W. (2000) Bail me out. Handling difficult and tough questions about public schools.
Thousand Oaks, CA: Corwin Press.
Creighton, T.B. (2001) Schools and data: The educator’s guide for using data to improve
decision making. Thousand Oaks, CA: Corwin Press.
Holcomb, E.L. (1999). Getting excited about data: How to combine people,
passion, and proof. Thousand Oaks, CA: Corwin Press.
Newton, R.R. & Rudestam, K.E. (1999). Your statistical consultant. Answers to
your data analysis questions. Thousand Oaks, CA: Sage Publications.
Pyrczak, F. (2002). Success at statistics. Los Angeles, CA: Pyrczak Publishing.
Salkind, N.J. (2000). Statistics for people who think they hate statistics.
Thousand Oaks, CA: Sage Publications.
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Qualitative
Bogdan, R. & Biklin, S. K. (1982). Qualitative research in education: An
introduction to Theory and method. Boston: Allyn & Bacon.
Coffey, A. & Atkinson, P. (1996). Making sense of qualitative data. Thousand
Oaks, CA: Sage. 1996
Emerson, R.M, Fretz, R.I., & Shaw, L.L. (1995). Writing ethnographic fieldnotes.
Chicago: University of Chicago.
Kvale, S. (1996). InterViews: An introduction to qualitative research interviewing.
Thousand Oaks, CA: Sage.
Maxwell, J.A. (2005). Qualitative research design: An interactive approach. Thousand
Oaks, CA: Sage.
Meloy, J. M. (1994). Writing the qualitative dissertation: Understanding by doing.
Mahway, New Jersey: Laurence Erlbaum Associates.
Patton, M.Q. (1990). Qualitative evaluation and research methods. Newbury Park, CA:
Sage.
Strauss, A., & Corbin, J. (1998). Basics of qualitative research: Techniques and
procedures for developing grounded theory. Thousand Oaks, CA: Sage.
Wolcott, H.F. (2001). Writing up qualitative research. Thousand Oaks, CA: Sage.
Data, Standards, and Testing
Bernhardt, V.L. (1998). Data Analysis for comprehensive schoolwide
improvement. Larchmont, NY: Eye on Education.
Bracey, G.W. (2000). Bail me out!. Thousand Oakes, CA: Corwin Press.
Cotton, K. (1999). Research you can use to improve results. Alexandria, BA:
ASCD.
Creighton, T.B. (2001). Schools and data: The educator’s guide for using data to
improve decision making. Thousand Oaks, CA: Corwin Press.
Ellis, A.K. (2001). Research on educational innovations. Larchmont, NY: Eye on
Education.
Fitzpatrick, K.A. (1998). Indicators of schools of quality. Schaumburg, IL: National
Study of School Evaluation.
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Gellman, E.S. (1995). School testing: What parents and educators need to know.
Westport, Connecticut: Praeger
Leedy, P.D. and Ormrod, J.E. (2001). Practical research. Upper Saddle River,
New Jersey: Merrill Prentice-Hall.
Popham, J.W. (2001). Testing! testing! Boston: Allyn & Bacon.
Case Studies
Yin, K. K. R., & Campbell, D. T. (2002). Case Study Research: Design and
Methods.
Single-subject Designs
Arnold, B. L. (1997). Single-subject research as an alternative to group research. Athletic
Therapy Today, 2(3), 19-20.
Barlow, D. H., & Hayes, S. C. (1979). Alternating treatments design: One strategy for comparing
the effects of two treatments in a single subject. Journal of Applied Behavior Analysis,
12, 199-210.
Barlow, D. H., & Hersen, M. (1985). Single case experimental design: Strategies for studying
behavior change (2nd ed.) New York: Pergamon.
Birnbrauer, J. S., Peterson, C. R., & Solnick, J. V. (1974). Design and interpretation of studies of
single subjects. American Journal of Mental Deficiency, 79, 191-203.
Baron, A., & Derenne, A. (2000). Quantitative summaries of single-subject studies: What do
group comparisons tell us about individual performances? Behavior Analyst, 23(1), 101106.
Barrios, B. A., & Hartmann, D. P. (1988). Recent developments in single-subject methodology:
Methods for analyzing generalization, maintenance, and multicomponent treatments. In
M. Hersen, R. M. Eisler, & P. M. Miller (Eds.), Progress in behavior modification (Vol.
22, pp. 11-47). Newbury Park, CA: Sage.
Faith, M. S., Allison, D. B., & Gorman, B. S. (1996). Meta-analysis of single-case research. In R.
D. Franklin, D. B. Allison, and B. S. Gorman (Eds.), Design and analysis of single-case
research (pp. 245-277). Mahwah, NJ: Erlbaum.
Edginton, E. S. (1980). Random assignment and statistical tests for one-subject experiments.
Behavioral Assessment, 2, 19-28.
Gast, D. L., & Wolery, M. (1988). Parallel treatments design: A nested single-subject design for
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comparing instructional procedures. Education and Treatment of Children, 11, 270-285.
Foster, W. (1986). The application of single subject research methods to the study of exceptional
ability and extraordinary achievement. Gifted Child Quarterly, 30(1), 33-37.
Franklin, R. D., Allison, D. B., & Gorman, B. S. (Eds.). (1996). Design and analysis of singlecase research. Mahwah, NJ: Erlbaum.
Huitema, B. E. (1986b). Statistical analysis and single-subject designs: Some misunderstandings.
In A. Poling & R. W. Fuqua (Eds.), Research methods in applied behavior analysis:
Issues and advances (pp. 209-232). New York: Plenum.
Kennedy, C. H. (2005). Single-case designs for educational research. Boston: Allyn & Bacon.
Nourbakhsh, M. R., & Ottenbacher, K. J. (1994). The statistical analysis of single-subject data: A
comparative examination. Physical Therapy, 74, 768-776.
O'Leary, K. D., & Kent, R. N. (1977). Sources of bias in observational recording. In B. C. Etzel,
J. M. LeBlanc, & D. M. Baer (Eds.), New developments in behavioral research: Theory,
method, and application (pp. 231-236). Hillsdale, NJ: Erlbaum.
Ottenbacher, K. J. (1990a). Visual inspection of single-subject data: An empirical analysis.
Mental Retardation, 28, 283-290.
Tawney, J. W., & Gast, D. L. (1984). Single-subject research in special education. Columbus,
OH: Charles E. Merrill.
Observations
House, A. E. (1980). Detecting bias in observational data. Behavioral Assessment, 2, 29-31.
Spinuzzi, C. (2003). Using a handheld PC to collect and analyze observational data. Association
for Computing Machinery: Proceedings of the 21st Annual International Conference on
Documentation, 73-79.
Time-series experiments
Glass, G. V., Wilson, V. L., & Gottman, J. M. (1975). Design and analysis of time-series
experiments. Boulder, CO: Colorado Associated University Press.
Mixed Method
Creswell, J. W. (1995). Research design: Qualitative and quantitative approaches.
Thousand Oaks, CA: Sage Publications.
Creswell, J. W. (2003). Research design: Qualitative, quantitative, and mixed method
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Approaches (2nd ed.). Thousand Oaks, CA: Sage Publications.
Creswell, J. W. (2005). Educational research: Planning, conducting, and evaluating
quantitative and qualitative research.
Greene, J. C., Caracelli, V. J., & Graham, W. F. (1989). Toward a conceptual framework
for mixed-method evaluation design. Educational Evaluation and Policy
Analysis, 11(3), 255-274.
Greene, J. C. & Caracelli, V. J. (1997). Advances in mixed-method evaluation: The
challenges and benefits of integrating paradigms. New Directions for Evaluation, 74.
Jick, T. D. (1979). Mixing qualitative and quantitative methods: Triangulation in action.
Administrative Science Quarterly, 24, 602-611.
Johnson, R. B., & Onwuegbuzie, A. J. (2004). Mixed methods research: A research
paradigm whose time has come. Educational Researcher, 33(7), 14-26.
Mathison, S. (1988). Why triangulate? Educational Researcher, 17 (2), 13–17.
Russek, B. L. & Weinberg, S. L. (1993). Mixed methods in a study of implementation of
technology-based materials in the elementary classroom. Evaluation and Program
Planning, 16 (2), 131-142.
Sieber, S. (1973). Integration of fieldwork and survey methods. American Journal of
Sociology, 78, 1335-1359.
Tashakkori, A. & Teddlie, C. (1998). Mixed methodology: Combining qualitative and
quantitative approaches. Newsbury Park, CA: Sage.
Tashakkori, A. & Teddlie, C. (2003). Handbook of mixed methods in social and
behavioral research. Thousand Oaks, CA: Sage.
Causal/Structural Equation/Growth Modeling
Asher, H. (1976). Causal modeling. Beverly Hills, CA: Sage Publications, Inc.
Biddle, B. & Marjorie, M. (1987). Causality, confirmation, credulity, and structural
equation modeling. Child Development, 58, 4-17.
Blalock Jr., H. M. (1972). Causal inferences in nonexperimental research. NY: Norton &
Company, Inc.
Bunge, M. (1959).Causality. Cambridge: Harvard University Press.
Cliff, N. (1983). Some cautions concerning the application of causal modeling methods.
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Multivariate Behavioral Research, 18, 115-126.
Goodwin, D. (1988). Causal modeling in family research. Journal of Marriage and the
Family, 50 (4), 917-927.
Hoyle, R. H. (1995). The structural equation modeling approach: Basic concepts and
fundamental issues. In Hoyle, R. H. (Ed.), Structural equation modeling: Concepts,
issues, and applications. Thousand Oaks, CA: Sage Publications, Inc.
Kline, R. B. (1998). Principles and practice of structural equation modeling. NY:
Guilford Press.
Meyers, L. S., Gamst, G., & Guarino, A. J. (2006). Applied multivariate research: Design
and interpretation. Thousand Oaks, CA: Sage Publications, Inc.
Maruyama, G. (1998). Basics of structural equation modeling. Thousand Oaks, CA:
Sage Publications, Inc.
Pedhazur, E. J, & Schmelkin, L. P. (1991). Measurement, design, and analysis: an
integrated approach. Hillside, NJ: Lawrence Erlbaum Associates.
Ullman, J. B. (2001). Structural equation modeling. In Tabachnick, B.G. & Fidell, L. S.
(Eds.) Using multivariate statistics (4th Ed). Boston: Allyn and Bacon.
Wilson, T. (1971). Critique of ordinal variables. In Blalock Jr., H. M. (Ed.), Causal
models in the social sciences. Chicago: Aldine Publishing Company.
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