Monday, December 15, 2014

how to make a literature map

RESEARCH_Literature Mapping

Fr: ro.uwe.ac.uk/Render Pages/RenderLearningObject.aspx?... (headings & underscore mine)

>Definition
= “broadly identifying the key concepts across the literature and how each paper or piece of material fits into the overall conceptual map” (before writing your Review of Related Literature and Studies)

>Importance
--Review of Literature
“Reviewing the literature is a major part of any research process. It is important for many reasons, including
----finding the basis for your research,
----checking the current knowledge and thinking in your subject area, and
----demonstrating that you can find, read and synthesize a range of literature in your subject domain.”
PS: Other related skills: literature sourcing, retrieval and management, including: effective reading, synthesis, rationale-building, organization, and writing.

--Literature Map
----It is useful for dividing your writing into chapters or sections.
----It is easier to manage writing if you break it down into smaller parts such as approaching each of the concepts you have identified individually, before pulling all the information together.
----It can help to identify issues such as proximity and connections in terms of ideas and findings.

>Steps
1. Write down the major themes for the literature which have relevance for your piece of research.
2. Write down any areas of consensus between different authors.
3. Write down any areas of dispute or disagreement between particular authors.
4. State if there are any special reasons which might account for the different views held by different authors.
E.g., conducted at different times and using different techniques
5. Note the implications of both the cases of consensus and disagreements have on your research if applicable.
6. Every time you read new literature ask yourself: Where does this paper fit in and does it alter any of my answers to the previous 5 questions?
7. Once you have reached a satisfactory stage, you might like to consider showing it to your supervisor and asking for feedback.

NB: It is advisable to keep your map as simple as possible: its purpose is to identify key concepts and how literature fits into these concepts.

--Think Map of Literature Mapping
 

















>Example of Literature Map (Adapted from Fisher, 2004)
(Source: The Research Observatory (last edited 07/01/08. Bristol, UK: University of the West of England, Bristol) http://ro.uwe.ac.uk/FileStore/LearningObjects/ LearningObject263/syn10.pdf)

Research Q: “Evaluate the impact of the Internet on practices for recruitment and selection used by small and medium-sized enterprises (SMEs).”

Legend: bold = key concepts
            numbers = literature list number
            (You may prefer to use the authors’ names or include a little more detail,
              but that can take up more spaces.)


NB:
--The nearer the concepts are together, the closer their association.
--It is possible for an individual piece of literature to be applicable to more than one area.
--Some literature may give a good overview of the whole subject, e.g., a good review paper.

 


Monday, November 24, 2014

Table of Statistical Techniques (Pallant, 2010)

RESEARCH_QUANTITATIVE

Re: Table of Main Statistical Techniques
Fr: Adapted from Pallant, J. (2010). SPSS Survival Manual: A step by step guide to data analysis using SPSS. Berkshire, England: Open University Press.

I.             Purpose: Exploring Relationships

QUESTION (Example)
PARAMETRIC STATISTIC
NON-PARAMETRIC ALTERNATIVE
INDEPENDENT VARIABLE
DEPENDENT VARIABLE
ESSENTIAL FEATURES
What is the relationship between gender & dropout rates from therapy?
None
CHI-SQURE
1 categorical (e.g., sex = M/F)
1 categorical (e.g., dropout / complete = Y / N)
The number of cases in each category is considered, not scores.
Is there a relationship between age & optimism scores?
PEARSON PRODUCT-MOMENT CORRELATION (r)
SPEARMAN’S RANK ORDER CORRELATION (rho/ῤ)
2 continuous (e.g., age, optimism scores)

1 sample with scores on 2 different measures, or same measure at Time 1 & Time 2
After controlling for the effects of socially desirable responding bias, is there still a relationship between optimism & life satisfaction?
PARTIAL CORRELATION
None
2 continuous & 1 continuous you wish to control for (e.g., optimism, life satisfaction, scores on a desirability scale)

(same as above)





QUESTION (Example)
PARAMETRIC STATISTIC
NON-PARAMETRIC ALTERNATIVE
INDEPENDENT VARIABLE
DEPENDENT VARIABLE
ESSENTIAL FEATURES
How much of the variance in the life satisfaction scores can be explained by self-esteem, perceived control & optimism? Which of these variables is the best predictor?
MULTIPLE REGRESSION
None
Set of ≥ continuous (e.g., self-esteem, perceived control, optimism)
1 continuous (e.g., life satisfaction)
1 sample with scores on all measures
What is the underlying structure of the items that make up the Positive and Negative Affect Scale – how many factors are involved?
FACTOR ANALYSIS
None
Set of related continuous variables (e.g., items of the positive & negative affect scale)

1 sample, multiple measures

II.           Purpose: Comparing Groups

General Research Question: Is there a statistically significant difference among a number of GROUPS?

QUESTION (Example)
PARAMETRIC STATISTIC
NON-PARAMETRIC ALTERNATIVE
INDEPENDENT VARIABLE
DEPENDENT VARIABLE
ESSENTIAL FEATURES
Are males more likely to drop out of therapy than females?
None
CHI-SQUARE
1 categorical (e.g., sex)
1 categorical (e.g., dropout / complete therapy)
You are interested in the number of people in each category, not scores on a scale.
Are males more optimistic than females?
INDEPENDENT SAMPLES T-TEST
MANN-WHITNEY U TEST
1 categorical (2 levels) [e.g., sex]
1 continuous (e.g., optimism scores)
2 groups: different people in each group


QUESTION (Example)
PARAMETRIC STATISTIC
NON-PARAMETRIC ALTERNATIVE
INDEPENDENT VARIABLE
DEPENDENT VARIABLE
ESSENTIAL FEATURES
Is there a change in participants’ anxiety scores from Time 1 & Time 2?
PAIRED SAMPLES T-TEST
WILCOXON SIGNED-RANK TEST
1 categorical (2 levels) [e.g., Time 1 / Time 2)
1 continuous (e.g., optimism scores)
Same people on 2 different occasions
Is there a difference in optimism scores for people who are under 35 yrs, 35-39 yrs, & 50+ yrs?
ONE-WAY BETWEEN GROUPS ANOVA
KRUSKAL WALLIS
1 categorical (≥ 3  levels) [e.g., age group]
1 continuous (e.g., optimism scores)
≥ 3 groups: different people in each group
Is there a change in participants’ anxiety scores from Time 1, Time 2, & Time 3?
ONE-WAY REPEATED MEASURES ANOVA
FRIEDMAN TEST
1 categorical (≥ 3 levels) [e.g., Time 1 / Time 2 / Time 3]
1 continuous (e.g., anxiety scores)
≥ 3 groups: same people on 2 different occasions
Is there a difference in optimism scores for males & females, who are under 35 yrs, 36-39 yrs, & 50+ yrs?
TWO-WAY BETWEEN GROUPS ANOVA
None
2 categorical (≥ 2 levels) [e.g., age group, sex]
1 continuous (e.g., Fear of Statistics test scores)
≥ 2 groups with different people in each group, each measure on ≥ 2 occasion





QUESTION (Example)
PARAMETRIC STATISTIC
NON-PARAMETRIC ALTERNATIVE
INDEPENDENT VARIABLE
DEPENDENT VARIABLE
ESSENTIAL FEATURES
Which intervention (math skills / confidence building) is more effective in reducing participants’ fear of statistics, measured across 3 time periods?
MIXED BETWEEN-WITHIN ANOVA
None
1 between-groups variable (≥ 2 levels), 1 within-groups variable (≥ 2 levels) [e.g., type of intervention, Time]
1 continuous (e.g., Fear of Statistics test scores)
≥ 2 groups with different people in each group, each measured on ≥ 2 occasions
Is there a difference between males & females, across 3 different age groups in terms of their scores on a variety of adjustment measures (anxiety, depression, & perceived stress)?
MULTIVARIATE ANOVA (MANOVA)
None
≥ 1 categorical (≥ 2 levels) [e.g., age group, sex]
≥ 2 related continuous (e.g., anxiety, depression & perceived stress scores)

Is there a significant difference in the Fear of Stats test scores for participants in the Maths skills groups & the confidence building group, while controlling for their scores on this test at Time 1?
ANALYSIS OF COVARIANCE (ANCOVA)
None
≥ 1 categorical independent (≥ 2 levels), 1 continuous covariate (e.g., type of intervention, Fear of Stats test scores at Time 1)
1 continuous (e.g., Fear of Stats test scores at Time 2)