Đang chuẩn bị nút TẢI XUỐNG, xin hãy chờ
Tải xuống
Chapter 7 - Quantitative research designs. After reading this chapter, you should be able to: Select and develop the appropriate research design for your hypotheses or research questions; understand the strengths and limitations of each design form as it relates to research fi ndings, and argue for your design choices; explain the benefi ts of experimental forms over quasi-experimental and descriptive forms;. | Quantitative Research Designs Chapter 7 The experimental framework Used to determine causation Conducted in lab or other controlled setting To control for extraneous influences Independent variable is manipulated by researcher Participants randomly assigned to conditions or treatments Classical experiment Researcher controls Selection of treatment & control groups – based on theory Random sample Random assignment of participants to conditions – ensures participants in each condition are equivalent before any treatment Manipulation checks Posttest experimental design Pretest-posttest Factorial design Treatment groups based on two or more independent variables Dependent variable measured once after treatment given Can test for main and interaction effects Longitudinal experimental design Multiple measurements of the dependent variable across time Time 1→ Time 2 → Time 3 Time between measurements depends on the nature of the communication phenomenon studied Used for studying training . | Quantitative Research Designs Chapter 7 The experimental framework Used to determine causation Conducted in lab or other controlled setting To control for extraneous influences Independent variable is manipulated by researcher Participants randomly assigned to conditions or treatments Classical experiment Researcher controls Selection of treatment & control groups – based on theory Random sample Random assignment of participants to conditions – ensures participants in each condition are equivalent before any treatment Manipulation checks Posttest experimental design Pretest-posttest Factorial design Treatment groups based on two or more independent variables Dependent variable measured once after treatment given Can test for main and interaction effects Longitudinal experimental design Multiple measurements of the dependent variable across time Time 1→ Time 2 → Time 3 Time between measurements depends on the nature of the communication phenomenon studied Used for studying training effects or degree of retention Evaluating experimental designs strengths limitations Researcher controls manipulation of IV and random assignment to condition Assumes that any effect on DV is the cause of the IV Precision Not all communication can be studied using experiments Other external influence may be the cause of DV change May not reflect reality Quasi-experimental designs Researcher relies on natural variation of independent variable Posttest, pretest-posttest, factorial, and longitudinal designs can be used Includes field experiments in which communication is studied in context Field experiments Researcher controls manipulation of IV Situated in real and natural environments Allows examination of complex and unfolding interaction Evaluating quasi-experimental designs strengths limitations Can address real world problems Design based on naturally existing variation Conditions may not be equivalent Cannot determine cause and effect Descriptive designs Also called cross-sectional or