100 questions (and answers) about research methods /
Overview: How do I create a good research hypothesis? How do I know when my literature review is finished? What is the difference between a sample and a population? What is power and why is it important? In an increasingly data-driven world, it is more important than ever for students as well as pro...
|Main Author:||Salkind, Neil J., (Author)|
Thousand Oaks, CA. :
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- About the author
- Part 1: Understanding The Research Process And Getting Started:
- 1: Why is research necessary, and what are some of its benefits?
- 2: Generally, what is the process through which a research topic is identified, and do I have to be an experienced researcher to select a topic of interest to me?
- 3: What is the "scientific method," and how can I apply that to my own research?
- 4: There are different types of research models that one might use; can you give me a general overview and how they might compare?
- 5: What is the best research model for my purposes?
- 6: What is the difference between basic and applied research?
- 7: What is qualitative research, and what are some examples?
- 8: What are hypotheses, and how do they fit into the scientific method?
- 9: What do good research hypotheses do?
- 10: Besides looking at the reputation of a journal where a study is published as one criterion for a good study, are there other things that I can look to?
- 11: I hear so much about different studies-from the newspaper, from professional bulletins, and even from my boss; what am I supposed to believe, and how can I judge if the results of a study are useful?
- 12: What are some of the best ways to find information online, and where are some of the best places?
- 13: What role might social media play in my efforts as both a researcher and a consumer?
- Part 2: Reviewing And Writing About Your Research Question:
- 14: What is a review of the literature, and why is it important?
- 15: How does a review of the literature have an impact on my research question and the hypothesis I propose?
- 16: How do I know when my literature review is finished? Couldn't it go on forever?
- 17: What are the three main sources of information, and what part does each play in creating a literature review?
- 18: What steps should I take in writing my review of literature?
- 19: What are some of the best electronic resources available, and how do I learn to use them?
- Part 3: Introductory Ideas About Ethics:
- 20: What are some of the more general and important principles of ethical research?
- 21: What is informed consent, and what does it consist of?
- 22: What special attention should I give to ethical concerns when children or special populations are involved, and what should the parents or legal guardian know?
- 23: What are some examples of the most serious ethical lapses?
- 24: What is an institutional review board or IRB, and how does it work?
- 25: What are the important elements of an IRB application?
- Part 4: Research Methods: Knowing The Language, Knowing The Ideas:
- 26: Why do all these questions and answers on research methods have any relevance for me?
- 27: I have so many ideas I want to study; how can I decide which one is best?
- 28: In beginning my research work, can I focus just on one tiny, little, narrow topic or reach for the stars and be broad and general? And, I know the library is a terrific place to start my research work, but do I have to visit the bricks-and mortar buildings on campus or can I just work remotely?
- 29: What is a null hypothesis, and why is it important?
- 30: What is a research hypothesis, and what are the different types?
- 31: What is similar, and what is different, about a null and a research hypothesis?
- 32: How can I create a good research hypothesis?
- 33: What is the "gold standard" of research methods?
- 34: Can you help me understand which method best fits which type of question being asked?
- 35: What are the different types of variables, and what are they used for?
- 36: What is an independent variable, and how is it used in the research process?
- 37: What is a dependent variable, and what does the researcher need to be careful about when selecting and using dependent variables?
- 38: What is the relationship between independent and dependent variables?
- 39: In an experiment, how does the notion of a control and an experimental group fit into the scientific method?
- Part 5: Sampling Ideas And Issues:
- 40: What is the difference between a sample and a population, and why are samples important?
- 41: What is the purpose of sampling, and what might go wrong during the process?
- 42: What is sampling error, and why is it important?
- 43: What are some of the different types of sampling?
- 44: What is random sampling, and why is it so useful?
- 45: How does stratified random sampling work, and when should I use it?
- 46: How can I be sure that the sample of participants, which is part of a study, accurately represents a larger group of people for whom those results would be important?
- 47: I've heard quite a bit about the importance of sample size, what's that all about?
- 48: How big of a sample is big enough?
- 49: How important is big?
- Part 6: Describing Data Using Descriptive Techniques:
- 50: What are descriptive statistics, and how are they used?
- 51: What are measures of central tendency, and how are they computed?
- 52: How do I decide whether to use the mean, mode, or median as a measure of central tendency?
- 53: What are the most often used measures of variability, and how are they computed?
- 54: How do I use the mean and the standard deviation to describe a set of data?
- 55: What is a normal curve, and what are its characteristics?
- 56: If a distribution of scores is not normal (or not bell shaped), how can the ideas on which inference is based be applied?
- 57: What does it mean when a distribution is skewed?
- 58: I'm looking for a visual way to describe data; What are some of my choices?
- 59: What is a standard score, and why is it important?
- 60: What are some of the more common standard scores, and how are they used?
- Part 7: All About Testing And Measuring:
- 61: There is a particular outcome that I want to measure, but I have no idea where I can find out whether or not there are existing measures; Where do I look to find suggestions as to what dependent variable I should use?
- 62: What are the different levels of measurement, and how are they used?
- 63: What is reliability?
- 64: What are some of the different types of reliability, and when are they used?
- 65: How are reliability coefficients interpreted?
- 66: What are some of the different types of validity, and when are they used?
- 67: What is criterion validity, and how do the two types of criterion validity, concurrent and predictive, differ?
- 68: What is the difference between a norm-referenced and a criterion-referenced test?
- 69: What is construct validity, and why is it especially appropriate for establishing the validity of psychological tests?
- 70: How are different types of validity established?
- 71: How do reliability and validity work together?
- 72: How can I find out if a test is reliable and valid?
- 73: What are some of the different types of tests, and how are they used?
- 74: When it comes to measuring attitude, what is the difference between a Likert and a Thurstone scale?
- 75: What is item analysis, and how is it used in evaluating achievement tests?
- 76: What is a percentile or a percentile rank?
- 77: What is adaptive testing?
- 78: What is the FairTest movement, and what are its basic goals?
- 79: Where do I find a collection of tests from which to choose? And, how do I go about selecting one?
- Part 8: Understanding Different Research Methods:
- 80: What is an experimental design, and what is the difference between the major types of experimental designs?
- 81: What is a one-shot case study, and what are some of the advantages and disadvantages of using this design?
- 82: I know what correlational research methods are; when and how are they used?
- 83: I know that correlations reflect the association between two variables, but how do I interpret them?
- 84: What is an example of a quasi-experimental design, and when is it appropriate to use it?
- 85: What is internal validity, and why is it important in experimental design?
- 86: What is external validity, and why is it important in experimental design?
- 87: What is the trade-off between internal and external validity?
- Part 9: All About Inference And Significance:
- 88: What is statistical significance, and why is it important?
- 89: In research reports, I often see entries such as p = _042 and df (22); what do they mean?
- 90: How do statistical programs such as SPSS display significance levels?
- 91: What other types of errors should be considered as part of the research process?
- 92: What is power, and why is it important?
- 93: What are some of the other popular statistical tests, and when are they used?
- 94: What is regression, and how is it used?
- 95: What is the difference between a parametric and a nonparametric test?
- 96: I often see the term "statistical significance" being used in journal articles; what is it, and why is it important?
- 97: How can I tell if an outcome is statistically significant?
- 98: What is effect size?
- 99: What is the difference between statistical significance and meaningfulness?
- 100: Why are the values of _01 and _05 used as conventional levels of statistical significance?