Applied Intermediate Research Methods & Data Analysis

Humanities & Social Sciences
Course Code
PSYC 3300
Semester Length
Max Class Size
Method Of Instruction
Typically Offered
To be determined


Course Description
This course expands on concepts learned in PSYC 2300 and 2301. Students will learn how to choose, apply and analyze appropriate research designs using both data analysis and inferential statistics. Applied projects will allow students to gain experience with computer programs such as SPSS or Microsoft Excel. Topics may include ANOVA (both one- and two-way), correlation, and the general linear model (bivariate and multivariate regression). Focus will be on the application of research designs along with interpretation and effective communication of research results.
Course Content
  1. The Scientific Approach: Theory, Hypotheses and Formulating a Research Question
  2. Measurement: Operational definitions, Validity and Reliability, Types of variables
  3. Data collection procedures and sampling, including practical and ethical issues
  4. Evaluation of published research in scholarly journals and other research reports
  5. Review of Statistical Inference: sampling distributions, critical values, understanding p-values, Type I and Type II errors, power, effect size and hypothesis testing
  6. Experimental Designs: ANOVA and Factorial Designs
  7. Relationships: Correlation and Regression
  8. General Liner Model and Multiple Regression
  9. Writing a formal APA style research report
Methods Of Instruction

This course will employ a number of instructional methods to accomplish its objectives and will include some of the following:

  • lectures
  • audio visual materials
  • small group discussion
  • research projects
  • computer-based tutorial exercises

There will be laboratory meetings throughout the semester in which students will develop and carry out their own research projects.

Means of Assessment

Evaluation will be carried out in accordance with Douglas College policy.  Evaluation will be based on course objectives and will include some of the following: quizzes, multiple choice exams, essay type exams, term paper or research project, computer based assignments, etc.  The instructor will provide the students with a course outline listing the criteria for course evaluation. 

An example of one evaluation scheme:

10 Statistics assignments -- 30%

4 Critical Summaries -- 20%

Midterm exam -- 25%

Final exam -- 25%

Total -- 100%

Learning Outcomes

At the conclusion of the course the successful student will be able to:

  1. Demonstrate and apply key statistical concepts, such as random sample, variability, sampling distribution, level of significance, critical value, p-value, effect size, power, Type I and Type II errors, and hypothesis testing
  2. Demonstrate knowledge of the strengths, weaknesses, and applications of specific research designs, including correlational, complex experimental and quasi-experimental designs.
  3. Explain the rationale and assumptions of ANOVA
  4. Compute and interpret the results of a One-Way ANOVA
  5. Construct a summary table of ANOVA results
  6. Compute and interpret the results from factorial designs, including main effects and interactions
  7. Explain the rationale of the General Linear Model (Multiple Regression)
  8. Interpret model fit and coefficients of a regression model
  9. Construct a summary table of Regression results
  10. Explain the difference between parametric and non-parametric statistics
  11. Choose and apply the appropriate statistical analysis in a real or hypothetical applied research setting
  12. Interpret and communicate the results of an applied research study
  13. Gain enhanced APA style writing knowledge and skills for full research reports
  14. Have a working and practical knowledge of computerized data analysis software, such as SPSS or Microsoft Excel
Textbook Materials

Textbooks and Materials to be Purchased by Students:

Textbook(s) and materials such as the following, the list to be updated periodically:

  • Freeman, W. H.; Keppel, G.; Saufley, W. H. Jr.; Tokunaga, H. (1992).  Introduction to Design & Analysis:  A Student’s Handbook (2nd Ed.). Worth.
  • Gliner, J.A., Morgan, G.A., & Leech, N.L. (2009) Research methods in applied settings: An integrated approach to design and analysis (2nd ed.). New York, NY: Taylor-Francis.
  • Howell, D. C. (2010). Statistical methods for psychology (7th ed.). Pacific Grove, CA: Thompson-Wadsworth.
  • SPSS Student Software (also available in DC computer labs)




PSYC 1100 AND 1200, both with a C- or better


PSYC 2300 with a C or better AND one of PSYC 2301 OR CRIM 2254 with a C or better


Courses listed here must be completed either prior to or simultaneously with this course:

  • No corequisite courses


Courses listed here are equivalent to this course and cannot be taken for further credit:

  • No equivalency courses

Course Guidelines

Course Guidelines for previous years are viewable by selecting the version desired. If you took this course and do not see a listing for the starting semester / year of the course, consider the previous version as the applicable version.

Course Transfers

Institution Transfer Details Effective Dates
Kwantlen Polytechnic University (KPU) KPU PSYC 3300 (3) 2012/01/01 to -
Langara College (LANG) LANG PSYC 2XXX (3) 2012/01/01 to -
Simon Fraser University (SFU) SFU PSYC 301 (3) 2012/01/01 to -
Thompson Rivers University (TRU) TRU PSYC 3XXX (3) 2012/01/01 to -
Trinity Western University (TWU) TWU PSYC 322 (3) 2012/01/01 to -
University Canada West (UCW) UCW RSCH 300 (3) 2012/01/01 to 2016/12/31
University Canada West (UCW) UCW PSYC 3XX (3) 2017/01/01 to -
University of British Columbia - Okanagan (UBCO) UBCO PSYO 2nd (3) 2012/01/01 to -
University of British Columbia - Vancouver (UBCV) UBCV PSYC 2nd (3) 2012/01/01 to -
University of Northern BC (UNBC) UNBC PSYC 315 (4) 2012/01/01 to -
University of the Fraser Valley (UFV) UFV PSYC 301 (3) 2012/01/01 to -
University of Victoria (UVIC) UVIC PSYC 2XX (1.5) 2012/01/01 to -

Course Offerings

Fall 2021

Start Date
End Date
- 08-Dec-2021
New Westminster - North Bldg.
15:30 - 18:20