O GoConqr está de visual novo! Conte para nós o que você achou.

Flashcards

Quantitative Research

Peter Lustig Inglês 13 flashcards

Flashcards do conjunto (13)

  1. 1What is a model in a quantitative study?- a model is usually based on theory and helpful to generate hypotheses
    - a model is a representation of the real world but rarely perfect
    - it is a parsimonius representation of a phenomenon
    - model is a close as possible to the data but there are some errors or residuals remaining
    - goal is to minimize these errors and get the best prediction
    Data = model + error
  2. 2What is robustness in a quantitative study?- the extent to which a summary measure is sensitive to disturbances in data quality
    - disturbances in data quality can arise either from small changes, too many data values or by large errors in a few data values
    - mean is not robust, but the mid-mean and media are
  3. 3What is efficiency in a quantitative study?- How much did the researcher get out of his data?
    - efficiency refers to how much a study measure captures all the information within the data that is relevant to the study
  4. 4What types of variables could you find in a quantitative study?1. categorical
    a. nominal variables: variables that have two or more categories but which do not have an intrinsic order (types of industries)
    b. ordinal: variables that have two or more categories, but the categories can be ordered or ranked (agree, disagree, average)
    c. dichotomus: normal variables which only have two categories or levels (gender)
    2. continuous
    a. variables for which central characteristic is that they can be measured along a continuum + they have numerical value
  5. 5When do we use a t-test in a quantitative study and what does it tell you?- used to compare groups
    - compares the difference between the mean or average score of two independent groups on a given variable
    assumptions
    - the dependent variable is normally distributed
    - the two groups have approximately equal variance
    - the two groups are independent of one another
    - determines if the means are sufficiently different from each other to say that they belong to two distinct groups
    -
  6. 6When do we use a correlation in a quantitative study and what does it tell you?- used to describe the observed relationship between instances of two events
    - positive correlation means that as a variable increases, the other variable increases as well
    - negative correlation means that as one variable stays, the other variable decreases
  7. 7When do we use the analysis of variance (i.e. ANOVA) in a quantitative study and what does it tell you?- a form of hypothesis test for comparing the means of two or more groups which may be classified on the basis of other variables
    - should only be used of the quality of measurement is high
    - very efficient because it uses the mean
  8. 8When do we use a regression in a quantitative study and what does it tell you?- is used to model the relationship between a dependent variable and an independent variable
    - is used in linear relationships, where an increase/decrease of variable x results in an increase/decrease of variable y
    - regression analysis determines the line of best fit (y=bx+c+e)
    - relationship either positive or negative
  9. 9What is a control variable?- in scientific experimentation it is the element which is constant and unchanged throughout the course of the investigation
    - has a strong influence on experimental results
    - is held constant to test the relative relationship between dependent and independent variable
    - variable itself is not of primary interest
  10. 10How do you ensure quality in quantitative research and why is it important?Researcher needs to take into account
    a. measurement: How variables have been constructed?
    b. causality: explaining causes and effects: independent variable, dependent variable, moderators, mediators
    c. replication: explicitly state procedures so research can be done again
    d. robustness: extent to which a summary measure is sensitive to disturbances in data quality
    e. efficiency: extent to which a summary measure captures all the information within the data which is relevant to what is summarized
    important to ensure the quality to make the research considered as useful and trustworthy
  11. 11What are the quality criteria in quantitative research?validity
    - integrity of conclusions derived from study internally and externally
    reliability
    - extent to which an instrument for measuring something gives consistent results (allows replication)
    objectivity
    - research is not influenced by e.g. personal bias, values and believes
  12. 12What is a hypothesis?- a formal statement of the expected relationships among variables
    - predicts a relationship among two or more variables
    - it is testable
    - it is justifiable (based on theory)
  13. 13What are the formal steps in hypothesis testing?1. define a research hypothesis to be tested (reflecting purpose of the study)
    2. define a null hypothesis (if primary hypothesis is inconclusive, this is the conclusion)
    3. deriving a summary measure of a characteristic of interest
    4. choosing a reference distribution and calculating a test statistic
    5. drawing a conclusion (are the results significant to support hypothesis)

Informações

Descrição
FlashCards sobre Quantitative Research , criado por Peter Lustig em 16-12-2017.
Criado por
Peter Lustig
Visualizações
4
Avaliação

Fale Conosco

Sobre o que é sua mensagem?

O que você acha do novo visual?

Você gostou?