Flashcards in Besc 13-16 Deck (44):

1

## Define and find examples of qualitative analysis

### Analysis not involving numerical data example how marriage has changed only use words

2

## What is the goal of qualitative data analysis?

### To find patterns

3

## Explain grounded theory math it and it's research steps

###
QUALITATIVE

Systematic qualitative research emphasis in Theory from data.

Ground from FACTS a BASE.

Use data

Step one observe

step four theory

(Inductive)

4

## Define and find examples of concept mapping

### Graphically representing concepts in the data also how concepts are linked diagrams example housesitting and economic cycle has to have intrinsic example education and opened minded relationship

5

## What are the coding units in qualitative data analysis

### Boil data down into concepts or themes concepts or themes are the units

6

## Why does qualitative data analysis pose more ethical concern is that a quantitative data analysis

### Because subjective in nature example everyone interprets marriage qualities differently

7

## Unbiased analysis and reporting is as much and ethical concern in qualitative as in quantitative analysis

### True

8

## What is quantification or reduction of data

### Use coding process of

9

## What is quantitative analysis

### Analysis you numerical data use numbers

10

## Why is univariate data helpful what is its purpose

### Analyze one variable at a time not relationship between two descriptive rather than explanatory summarize the data

11

## Should coding be use for intrinsically numerical data like age and income

### Re-code into groups if comparing ages into millennial's compared to Jen X

12

## What is code book?

### Contains all codes used identifiers to those variables and coats assigned to attributes of those variables

13

## What are the ways to summarize data in univariate analysis

###
Frequency distribution number of cases and percent falling into different categories.

Averages is mean median mode

Dispersion house sprayed out of the data and how far from the mean [standard deviation} most common more predictability narrower better widespread less accurate

{range}

14

## are mean median mode

###
Mean is adding all together then divide by the number

Median is the middle number

Mode is the most number occurred the number that has occurred the most

15

## What are the common measures of dispersion

### Range, standard deviation, (and standard error for surveys)

16

## Define and find examples of sub group comparison

###
Describe similarities and differences among subgroup for variable can compare multiple subgroups or more than one variable sign you Teini asleep focus see group differences no statistical analysis ( hybrid/crossover not pure)

TABLES TO VISUALLY SHOW COMPARISONS

17

## Primary purpose of bivariate analysis

### Focuses on relationships between two variables t-test chi-square some X/Y

18

## What is the primary purpose of multi variant analysis

### Primary purpose is to analyze sign you Teini us three or more variables that are qualitative

19

## What is the elaboration model why is it useful

### Contingency table to tell story multi variant analysis three variables to analyze and examine relationship between X and Y using TV control for FX of third variable holding T constant

20

## Variables in elaboration model

### XY and TT identify different group religion race age it can be written as XTY or TXY2 sequences TXY is the one the professor uses most

21

## And logic elaboration model is similar to which statistical methods

### Partial regression have to use computer though elaboration more simple

22

## Under what condition can we claim a previously observed causal relationship is false

### Previously observed relationship between X and Y disappears that means it is false

23

## How long should typical oral presentations be a scholarly meetings

### 15 to 20 minutes

24

## To avoid plagiarism what should you do and not do

### Credit original source of information never pretend someone else's ideas are your own

25

## When writing social research which factors are important

###
Audience equals interests of general public in which case the language is less technical

Form and length of report equals journals professional meeting presentation

Name of the report equals research can be descriptive exploratory or explanatory some can be evaluated and has policy implications

26

## And evaluating the quality of Internet information which factors are important

### Authors of the work how it references prior research whether or not the data are from official sources like the government or authority

27

## In evaluating a research report which factors are important?

###
Theoretical orientation

Research design

Data collection method

How variables are measured & concepts

28

## How do you read a research report?

### Read abstract then skim through review the conclusion that gives an overall feel of the research is interesting then read the stuff in between

29

## Identify the five steps in a typical research report

###
One purpose and overview this part provides the reader a clear picture of what the objective of the research is and how it will be carried out

Two review of the literature it provides an overview of previous research on the topic of interest avoiding plagiarism when incorporating other scholars research it is important to credit the original source of information

Three study design and execution this part describes the mythological strategy employed to collect data

For analysis and interpretation this is the section where the research you report the results of the data analysis

Five summary and conclusions this part discuss both the specifics of the research conducted and the broader implications of the findings

30

## What is the use of the abstract

### read if you find the article has something to do with your interest specifies the exact focus of the article

31

## Define and identify uses of descriptive stats

###
Describe or summarize data summarize data understudy some descriptive stats summarize data describe data univariate inference is all about descriptive stats

Descriptive stats summarize relationship between variables

32

## Describe and examine of measures of association

###
Correlations 3 types:

Pearson R (interval, or ratio)

Nominal (lambda)

Ordinal (gamma)

33

## Pearson's product moment correlation R and use

###
Perfect imperfect negative or positive.

For significant correlation number usually needs to be bigger correlation coefficient better or stronger.

Negative correlation is win absences go up grades go down

Positive example is when the amount of vitamins goes up health goes up

Perfect example is up whatever one up on our one up one over one shoe and height

Imperfect as most of the time

*Interval and Ratio data ONLY*

34

## How do you determine value of dependent variable in regression analysis

### The D pendant value in a function of independent

35

## What are uses of regression analysis and what are the equations

### y=a + bx linear regression

36

## What are the differences between T test and nova and chi-squared

###
T-test =Only 2, x= interval/ratio y= nominal/ordinal

Anova= 3 or more (groups, extension of 3 categories), x=interval/ratio y= nominal/ordinal

Chi squared = 2-10, x= nominal/ordinal y= nominal/ordinal

37

## Identify the primary uses and types of inferential statistics

### Infer or come to conclusion based on what we know USE sample data to project population characteristics. DO test of significant chi-square t-test or anova

38

## What is statistical significance

### If you do calculation to find some sort of relationship take sampling error size and magnitude of relationship into account before saying it is a significant relationship

39

## How to interpret significance level

###
Two levels. 05 is the most common 95% sure after errors calculated

.01 desirable 99% sure

40

## How to calculate degrees of freedom in chi-square

###
(C-1) (r-1)

columns -1 times Rows -1

41

## What are geographic information systems

### Multi Variate use geographic map plug data and find where crime rate is highest for example a lot of dots in west valley Utah or you can find a cancerous area where there will be lots of dots in Vernal

42

## Uses of regression equation?

### Will help you predict value of independent. Bivariate or multivariate NOT univariate.

43

## Typical Linear Regression Equation:

###
IQ (dependent) predicts (GPA) Independent.

So dependent predicts GPA

44