Week 7 - Data Management: Quantifying and Planning Analysis

Question 1

what are 2 basic approaches to developing code categories

Answer 1

1. begin with a coding system derived from research purpose

2. generate codes that emerge from data

Question 2

what are the 2 main purposes of developing a codebook

Answer 2

1. primary guide used in coding, notes the value assigned to each variable
2. guide for locating variables and interpreting codes

Question 3

list methods of entering data

Answer 3

1. optical scan sheets
2. CATI system (entered while collected)
3. SPSS matrix system
4. excel

Question 4

describe features of univariate analysis

Answer 4

• frequency of distributions
• measures of central tendencies (mean, median, mode)

Goal:

• provide reader with full degree of detail
• present data in a manageable form

Question 5

describe bivariate analysis

Answer 5

describes a case in terms of 2 variables simultaneously

Question 6

how to construct a bivariate table

Answer 6

• divide cases into groups according to IV
• describe each subgroup in terms of DV
• DV rows
  IV columns
• continuous variables are typically made into categorical variables for this type of analysis

Question 7

how are correlations managed in bivariate analysis

Answer 7

appropriate for continuous variables

• other types are usually coded using a dummy variable
• presented in correlation matrix

Question 8

describe multivariate analysis

Answer 8

analysis of more than 2 variables simultaneously

• used to understand relationship
• most typical analysis used is a regression analysis

Question 9

list the 4 types of quantitative research

Answer 9

1. descriptive
2. correlational
3. cause comparative
4. experimental

Question 10

what is experimental quantitative research

Answer 10

establishes the cause - effect relationship but manipulates the cause

Question 11

what are the 2 different types of data analysis

Answer 11

1. descriptive statistics

2. inferential statistics

Question 12

what is descriptive statistics

Answer 12

procedures used to describe a given collection of data

Question 13

what is inferential statistics

Answer 13

allow you to generalise findings beyond particular sample

Question 14

list the 3 different types of descriptive statistics

Answer 14

1. central tendency measures
2. variability measures
3. frequency and percentages

Question 15

is a hypothesis used in descriptive or inferential statistics

Answer 15

inferential

Question 16

are research questions utilised in descriptive or inferential statistics

Answer 16

descriptive

Question 17

what is error type I

Answer 17

when researchers reject the null hypothesis when it is really true

Question 18

what is error type II

Answer 18

failure to reject the null hypothesis when it is really false

Question 19

what does a 2 tailed distribution reflect in regards to hypotheses

Answer 19

a null hypothesis

Question 20

what does a 1 tailed distribution reflect in regards to hypotheses

Answer 20

directional hypothesis

Question 21

define levels of significance

Answer 21

the pre determined level at which a null hypotheses is not supported

Question 22

In relation to Pearson r correlations what does a -1.00 score mean

Answer 22

perfect inverse relationship

Question 23

in relation to Pearson r correlations what does a 0.00 score mean

Answer 23

absence of relationship

Question 24

in relation to Pearson r correlation what does a 1.00 score mean

Answer 24

a perfect positive relationship