Exam Review - Kai Notes

REVIEW RECOMMENDATIONS FOR THE METHODS II COMPREHENSIVE FINAL EXAM

This document contains a detailed outline of the requirements and topics to review for the comprehensive final exam scheduled for Thursday, April 23rd at 8:00 A.M. The exam will cover all material discussed during the course, including any assigned self-study content. Below are the key concepts that are likely to be emphasized in the exam, along with suggestions for further study.

EXAM SCOPE

The exam will be comprehensive, meaning it will draw from all course content. Students are encouraged to re-read related textbook sections to reinforce their understanding of challenging concepts. Lecture slides will also serve as effective study materials.

BASIC CONCEPTS

Independent and Dependent Variables

  • Definition: Independent variables are those that the researcher manipulates in a study, while dependent variables are the outcomes measured to assess the effects of the independent variables.

  • Recognition in Studies: Students should be able to identify independent and dependent variables within various study descriptions.

Types of Validity and Reliability

  • Validity refers to the accuracy of a study in measuring what it intends to measure.
      - Types of Validity:
        - Internal Validity: The extent to which the study demonstrates a causal relationship, free from confounding factors.
        - External Validity: The degree to which study results can be generalized to other settings or populations.

  • Reliability: Refers to the consistency of a measure. Students should understand how reliability impacts research quality.

Research Designs

  • Differences in Research Designs: Know how to distinguish various research designs and be able to classify them based on study descriptions. This includes experimental designs, correlational designs, and observational designs.

  • Experimental vs. Quasi-experimental Designs: Recognize that a key feature distinguishing an experiment from a quasi-experiment is the random assignment of participants to groups in experiments.

  • Factorial Designs: Be able to define factorial designs, understanding how they allow for the examination of multiple independent variables simultaneously.
      - Main Effects and Interactions: Understand the meaning of main effects (the effect of one independent variable on a dependent variable disregarding other variables) and interactions (how the effect of one independent variable changes across levels of another).

Causal Claims and Research Designs

  • Criteria for Causal Claims: Students should prepare to articulate the three critical criteria necessary to establish a causal claim: correlation, temporal precedence, and internal validity.

  • Strengths and Limitations of Research Designs: Be prepared to evaluate various research designs according to these three criteria and place them on a continuum of internal validity. Identify which design offers the highest internal validity.

WRITING RELATED CONCEPTS

Types of Research Documents

  • Familiarize yourself with different types of research documents, including empirical articles, literature reviews, and meta-analyses. Students should know the primary sections and subsections of a research manuscript, including:
      - Abstract: Summary of the research.
      - Introduction: Background and significance of the study.
      - Method: Detailed description of the research design and procedures.
      - Results: Presentation of findings.
      - Discussion: Interpretation of the results.

  • Hourglass Analogy of Science Writing: Be able to explain this analogy, which likens scientific writing to the shape of an hourglass, beginning broadly, narrowing to specific findings, and then broadening again to implications.

APA Style Fundamentals

  • Knowledge of APA (American Psychological Association) style is crucial. This includes understanding correct formats for:
      - Number Formats: Use of numerals and words.
      - Statistical Symbols and Abbreviations: Correct representation of statistical data.
      - Headings and Subheadings: Proper formatting as per APA guidelines.
      - Citation and Reference Formats: Structure of in-text citations and reference list.

  • Students should practice identifying APA formatting mistakes.

General Writing Practices

  • Emphasize the use of active voice in writing.

  • Avoid redundancy between tables and text, ensuring information is presented uniquely in each.

STATISTICS

Descriptive Statistics

  • Familiarize with measures of central tendency (mean, median, mode) and understand measures of dispersion, such as variability.

Descriptive vs. Inferential Statistics

  • Descriptive Statistics: Used to summarize and describe the features of a data set.

  • Inferential Statistics: Techniques that allow conclusions to extend beyond the immediate data, including hypotheses testing.

Hypothesis Testing

  • Understand the logic behind hypothesis testing including the null hypothesis (H0) and alternative hypothesis (H1).

  • Students should be able to interpret statistical test results (e.g., extract significance from results like t(30) = 3.22, p < .05).

Parametric vs. Non-parametric Statistics

  • Recognize the differences between parametric methods (which assume data follows a specific distribution, e.g., normal) and non-parametric methods (which do not make such assumptions).

Statistical Procedure Matching

  • As done in previous exams, be prepared to match a study with its corresponding statistical procedure based on descriptive scenarios of the studies.