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Voorbeeld 4 van de 64 pagina's
Samenvatting

Summary Experiment Exam Notes (Fully Covered from Chapter 1, 6,7, 8,9,10,11)

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Voorbeeld 4 van de 64 pagina's

Exam notes for the Research Workshop: Experiment. Fully covered with images, graphs, and examples from the book, micro-lectures and lectures. Covers the chapters 1, 6, 7, 8, 9, 10, and 11. Nothing was cut short, fully in detail and in depth.

Voorbeeld van de inhoud

Week 1

Chapter 1: Introduction
1.2 Methods of Knowing and Acquiring Knowledge

Five Nonscientific Approaches
Nonscientific Description Examples Downfalls
Method

Tenacity Holding on to ideas simply Opposites attract. - Information might
because they have been not be accurate.
accepted as facts for a long Don’t walk under a - No method for
time = habit ladder or black cat. correcting ideas.
Or superstitions.
Wearing a lucky hat
for an exam.

Intuition Information is true because it A person assumes that No mechanism for
“feels right”, a hunch, a gut people who talk fast separating accurate
feeling or an instinct. are more confident. from inaccurate
knowledge.
A teacher believes
students learn better in
the morning.

Authority Consulting an expert or Google it, read about - Does not always
(method of website to read the works of it, watch it or ask provide accurate info
faith because experts. people. (can be biased)
people accept - Info can represent
in faith any subjective, personal
information opinion rather than
that is given) true expert knowledge.
- Expertise in one area
cannot be generalized
into other topics.
- Acceptance without
question.
- Not all experts are
experts

Rational Seeking answers by logical Having a frightening - Conclusion is not
Model reasoning. experience with a dog true unless both the
causes fear of dogs in premise statements are
Two premise statements (we the future. (premise) true.
accept them as facts) = final - People are not good
logical conclusion Amy has a fear of dogs. at logical reasoning.

, (premise)

Therefore, Amy had a
frightening experience
with a dog in her past.
(logical statement)

Empirical Answers questions by direct Checking the oil in the - We cannot fully trust
Method observation or personal car by looking at the in our senses.
experience. All knowledge is dipstick. - Your perception can
acquired through senses. be altered from your
Learning your weight prior knowledge,
by scaling yourself. expectations, feelings
and beliefs.
- Can be time
consuming and
dangerous.



1.3 The Scientific Method
Approach to acquiring knowledge that involves formulating specific questions and systematically
finding answers.

Step 1: Observe behavior or other phenomenon
-​ You do inductive reasoning. (reaching a general conclusion based on a few specific examples)
Step 2: Form a hypothesis = explanation for your observation
-​ Identifying other factors or variables that are associated with your observation.
-​ Hypothesis is a general statement, prediction is a specific statement
Step 3: Use your hypothesis to generate a testable prediction
-​ We use deduction now where we have a general statement and make specific deductions.
-​ Prediction must be testable
Step 4: Evaluate the prediction by making systematic, planned observations (data collection)




-​ After the testable prediction has been made (the rational method), to evaluate the prediction
we use direct observation (empirical method).

, -​ Data collections section.
Step 5: Use of observation to support, refute, or refine the original hypothesis
-​ You compare your hypothesis with the actual observation that is being made.


The scientific method is not a linear process, it is a circular process that leads to a tentative answer.
Observations lead to a hypothesis and a prediction, which lead to more observations, which lead to
another hypothesis, and so on.



Three important principles of the scientific method
1.​ Science is empirical
a.​ Answers are obtained by making systematic and structured observations.
2.​ Science is public
a.​ Other individuals should be able to repeat the same step-by-step process that led to
the observations so they can replicate the observations for themselves.
b.​ It is used for verification purposes.
3.​ Science is objective
a.​ The observations are structured so the researcher’s biases and beliefs do not influence
the outcome of the study.




Science Pseudoscience

Refutable hypothesis, falsifiability Rigid beliefs with no possibility of alteration

Objective and unbiased Subjective evidence (cherry picking success)

Adaptation of new evidence Ignore unsupporting evidence

Grounded in past science Creation of new disciplines and techniques




1.4 The Research Process

Quantitative and Qualitative Research

Quantitative Qualitative

Examines variables that vary in quantity (size, Examine participants and take extensive notes.
magnitude, duration, amount)

Numerical scores Narrative reports

, Develop a test Talk to people and take notes




10 Steps of the Research Process & WL 3
→ This is a circular process NOT a linear process.

1.​ Find a research idea
a.​ Identify the general topic and review the background literature.
b.​ We use the method of induction: a relatively small set of specific observations form
the basis for forming a general statement about a larger set of possible observations.
i.​ Selecting a topic
ii.​ Reviewing the literature
iii.​ Formulating a research question
2.​ Form a hypothesis or a tentative answer (prediction)
a.​ If your question is about the description of a variable you can skip this step.
i.​ This step is only important if there is a relationship between variables.
b.​ Hypothesis is general, prediction is specific.
c.​ Identify the factors, or variables that are associated with your observation.
d.​ Variables are characteristics or conditions that change or have different values for
different individuals.
e.​ Formulate a hypothesis, or a possible explanation (tentative answer) for your
observation.
3.​ Determine how you will define and measure your variables
a.​ Plan to evaluate the validity and reliability of your measurement procedures.
b.​ Transform the hypothesis into an empirically testable form.
c.​ You need to determine how to manipulate the IV.
d.​ You also need to determine how to measure the DV.
e.​ Need to consider which other variables might be involved (determine confounders).
f.​ Manipulation check
i.​ Assessing whether the manipulation was effective.
ii.​ It is measured in a small sample using pre-test and after exposure to stimulus.
4.​ Identify the participants
a.​ How many participants (humans) or subjects (nonhumans), characteristics, how they
will be selected, where to find them and ethical codes (e.g. children need permission).
5.​ Select a research strategy
a.​ Consider internal and external validity and decide between experimental, descriptive,
correlational, nonexperimental or quasi-experimental strategy.
6.​ Select a research design
a.​ Decide among between-subjects, within-subjects, factorial, or single-case designs.
7.​ Conduct the study
a.​ Collect the data.
8.​ Evaluate the data
a.​ Statistics section
9.​ Report the results
10.​ Refine or reformulate your research idea

Inhoudsopgave

  1. 01 Week 1 1
  2. 02 Chapter 1: Introduction 1
  3. 03 1.2 Methods of Knowing and Acquiring Knowledge 1
    1. Five Nonscientific Approaches 1
  4. 04 1.3 The Scientific Method 2
    1. Three important principles of the scientific method 3
  5. 05 1.4 The Research Process 3
    1. Quantitative and Qualitative Research 3
    2. 10 Steps of the Research Process & WL 3 4
  6. 06 WL: Four Elements of a True Experiment 5
    1. Milgram Experiment 5
  7. 07 WL: Correlation, Causation and Extraneous Variables 6
    1. Correlation vs Causation 6
    2. Extraneous Variables 6
    3. Confounding Variables 7
    4. Controlling Extraneous Variables 7
  8. 08 Marshmallow Experiment 8
    1. Video 1 8
    2. Video 2 8
  9. 09 Chapter 6: Research Strategies and Validity 9
  10. 10 6.1 Research Strategy 9
    1. 6.1.1 Descriptive Research Strategy (Description of ONE variable) 9
    2. 6.1.2 Strategies that Examine Relationships Between Variables for Each Participant 9
    3. 6.1.3 Comparing Two or More Sets of Scores: The Experimental, Quasi-Experimental, and Nonexperimental Research Strategy 10
    4. 6.1.4 Research Strategy, Research Design, and Research Procedure 12
  11. 11 6.2 External and Internal Validity 13
    1. External Validity 13
    2. Internal Validity 14
    3. Artifacts: Threats to Both Internal and External Validity 15
  12. 12 Chapter 7: The Experimental Research Strategy 16
  13. 13 7.1 Cause-and-Effect Relationship 16
  14. 14 7.2 Distinguishing Elements of an Experiment 17
    1. 1. Manipulation 17
    2. 2. Control 17
  15. 15 7.3 Controlling Extraneous Variables 18
    1. Holding a Variable Constant 18
    2. Matching 18
    3. Randomization (Random Assignment) 18
    4. Advantages and Disadvantages of Control Methods 19
  16. 16 7.4 Control Conditions and Manipulation Checks 19
    1. Control Conditions 19
    2. Manipulation Checks 20
  17. 17 7.5 Simulation vs Field Studies: Increasing External Validity 21
    1. Simulation 21
    2. Field Studies 22
  18. 18 WL: Experimental Designs 22
    1. Different Design Types 23
  19. 19 WL: Lab vs Field Study 23
    1. Laboratory 23
    2. Field 23
  20. 20 Week 2 24
  21. 21 Chapter 8: Between-Subjects Designs 24
    1. Advantages vs Disadvantages of Between-Subject Designs 25
  22. 22 8.2 Confounding Variables 25
    1. Individual Differences 25
    2. Environmental Differences 26
    3. Differential Attrition 26
    4. Communication Between Groups 27
  23. 23 8.3 Controlling Confounders 27
    1. Random Assignment (Randomization) 28
    2. Matching 28
    3. Holding Variables Constant or Restricting Range of Values 29
  24. 24 8.4 Individual Differences and Variability 29
    1. Differences Between Treatments vs Variance Within Treatments 30
    2. Minimizing Variance Within Treatments 30
  25. 25 8.6 Statistical Analysis of Between-Subjects Design 31
  26. 26 Chapter 9: Within-Subjects Designs 31
  27. 27 9.1 Confounding Variables 32
    1. Environmental Variables 32
    2. Time-Related Variables 32
    3. Order effects (practice, fatigue, and carry-over effects) 33
  28. 28 9.2 Dealing with Time-Related Threats and Order Effects 33
    1. 3. Counterbalancing 34
    2. Limitations of Counterbalancing 35
  29. 29 9.3 Advantages and Disadvantages of Within-Subjects Designs 37
    1. Choosing Within- or Between-Subjects Design 38
    2. Matched-Subject Design 38
  30. 30 9.4 Statistical Analysis of Within-Subjects Design 39
    1. Two-Treatment Design 39
    2. Multiple-Treatment Designs 39
  31. 31 WL: Mixed Designs 39
  32. 32 WL: Manipulation 41
  33. 33 WL: Manipulation Checks - SPSS 41
    1. Example 42
  34. 34 WL: Randomization Check - SPSS 44
    1. Example 44
    2. Adding Covariate in SPSS 46
  35. 35 Week 3 47
  36. 36 Chapter 10: Nonexperimental and Quasi-Experimental Strategies 47
  37. 37 10.2 Between-Subjects Designs: Nonequivalent Group Designs 48
    1. Nonexperimental Designs 48
    2. Quasi-Experimental Designs 50
  38. 38 10.3 Within-Subjects Designs: Pre-Post Designs 50
    1. Nonexperimental: One-Group Pretest-Posttest Design 51
    2. Quasi-Experimental: The Time-Series Design 51
  39. 39 10.4 Developmental Research Designs (Nonexperimental) 52
    1. Cross-Sectional Developmental Design (Between-Subjects) 52
    2. Longitudinal Developmental Design (Within-Subjects) 53
    3. Combining Cross-Sectional and Longitudinal Designs 54
  40. 40 Chapter 11: Factorial Designs 54
  41. 41 11.2 Main and Interaction Effects 55
    1. Main Effects 56
    2. Interaction Effect 57
  42. 42 11.3 Types of Factorial Designs and Analysis 59
    1. Between-Subjects and Within-Subjects Designs 59
    2. Experimental and Nonexperimental or Quasi-Experimental Research Strategies 60
    3. Pretest-Posttest Control Group Designs 60
    4. High-Order Factorial Designs 61
    5. Statistical Analysis of Factorial Designs 61
  43. 43 11.4 Applications of Factorial Designs 61
    1. Expanding or Replicating a Previous Study 61
    2. Reducing Variance in Between-Subjects Designs 61
    3. Evaluating Order Effects in Within-Subjects Designs 62

Gekoppeld boek
 image
Frederick J. Gravetter, Lori-Ann B. Forzano Research Methods for the Behavioral Sciences (with APA Card)
Uitgever: 2020 ISBN: 9780357602003 Druk: Onbekend

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