Research Design Procedures 1 Research Design n Forming
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Research Design Procedures 1
Research Design n Forming your action plan n Deciding on the Who and When n Defining all concepts and terms 2
Research Design n Three purposes for research: n Exploration n Description n Explanation n Or Descriptive- existing conditions n Normative- observed vs. intended n Impact- can it be attributed to programs? n 3
Exploration n To gain familiarity with a topic n Typically done to: n Satisfy a researcher’s curiosity and desire to understand n “Test the water” for a more extensive study n Develop methodology to be used in a subsequent study 4
Description n Provide context for situations and events n Typically based on observation and reporting n Observation is systematic n Example: U. S. Census 5
Explanation n Attempts to address the question of “why” n Tries to get at reasons and underlying causes n Example: Not “would you vote for Mc. Cain” but “why would(n’t) you vote for Mc. Cain? ” 6
GAO- Designing Evaluations n Considerations 1. 2. 3. 4. 5. 6. 7. Kind of information to be acquired Sources of information (i. e. types of respondents) Methods of sampling (i. e. random) Methods of collecting data (i. e. interviews, surveys) Timing and frequency of information collection Basis for comparing outcomes Analysis plan 7
Research Design: Experiments n Experiments aim to control one variable or set of variables in order to determine their relationship to and/ or impact on another set of variables. n Types of studies: n Experiment n n Uses a random sample Quasi-experiment n Does not use a random sample, must try to correct for error through statistical tests 8
Impact of a Program/Service Involving an Experimental Design IMPACT = Outcome of experimental group receiving the treatment compared to control group Information Literacy Instruction 9
Classic Design n Two group pre- and post- test n One experimental group n One “untreated” control group n Compare outcomes to assess impact n Problems with this? 10
Solomon 4 Group Test n Classic Design expanded to include two sets: n One set has experimental group and control group who both receive pre- and post-tests n One set has experimental group and control group who receive only post- tests. n Advantages over classic model? 11
n Solomon Four Group Design Group 1 Control 1 Group 2 Control 2 Before Treatment After no no yes yes yes no 12
Time Series Design n Repeats testing twice (or more) to establish a trend in the data independent of the experiment Pretest Treatment Posttest Experiment yes Control Group yes no yes yes yes no REPEAT yes 13
EXAMPLES n Pretest/posttest design with control group Experiment Control Group pretest treatment posttest yes yes yes no Pretest/posttest design without control group Experiment A Experiment B pretest treatment posttest yes yes yes 14
Case Study n Basis of selection: representative, typical, cluster, probability, etc. n Multiple methods of data collection 15
Populations and Statistical Sampling 16
Populations n Population- the entire group/ universe under study n Sample- a portion of a population of possible information sources n Sampling- methods for selecting these sources 17
Research Design: Action Plan (continued) n Who is studied n population n Sample n Is sample reflective of population? n Where n Sampling? n When n Sampling? 18
Who (or What) is being studied? n Units of analysis: the what or whom being studied. In social research the most typical units of analysis are individual people. n Can be: individuals, groups, organizations, social interactions, social artifacts n Examples: n Library Users or Non-Users n First-year Students n Senior Citizens n Public Libraries n Also n ILLs n Biographies, Mysteries, Audiobooks (i. e. collections) n Web sites 19
Beware: Pitfalls of Analysis n Ecological Fallacy: n Something learned about a group says something about the individuals making up that group. n Reductionism n An attempt to explain phenomena in terms of limited or lower-order concepts. 20
Who is being studied n How to select a sample? 21
Sampling- Three Options n Census- collecting information from the entire group making up a population n Like the decennial census n Judgment sampling- making conscious choices n Convenience Sampling- what’s available n Probability/ Statistical Sampling- left to chance, each member of a population has an equal chance of being chosen 22
Sampling: Purpose n Representativeness n Sample has roughly the same distribution of characteristics as the population from which it is drawn. n Nevertheless, each sample will differ from each other, as well as from the population n Can determine the amount of error 23
Probability Sampling (1) n Random sampling: Each member of the population has an equal and known probability of being selected n Systematic sampling: Each member of the population is either assembled or listed, a random start is designated and then members of the population are selected at equal intervals… nth intervals 24
Probability Sampling (2) n Stratified: Each member of the study population is assigned to a group or stratum, then a simple random sample is selected from each group or stratum 25
Probability Sampling (3) n Cluster: Each member of the study population is assigned to a geographically-defined group or cluster. Clusters are then selected at random, and members of a selected group are represented in the sample. § http: //www. claritas. com/My. Best. Segments/Default. jsp n Role of GIS and TIGER files § http: //www. census. gov/geo/www/tiger/index. html 26
Non-probability Sampling n Convenience: selecting cases based on their availability n “Typical” cases: selecting cases already known and not considered “extreme” n Snowball: group members identify additional members to be included in sample n Quota: sample is in same proportion as population 27
The Sample n How selected n Sample size n Determine the actual individuals or “things” included 28
Sample Size n A larger sample does not necessarily mean better results, but n Too small a sample can lead to error 29
Sample Size- 3 Considerations n Precision (sampling error)- the range in which the “true value” is estimated to be: ± 5 n Confidence Level (Central Limit Theorem)when a population is repeatedly sampled, the average value is = to the true value, and values in each survey will be normally distributed: 95% confidence level n Degree of Variability- distribution of attributes within a population. The more homogenous the population, the smaller the sample size. 30
Sample Size http: //edis. ifas. ufl. edu/PD 006#TABLE_1 31
Sampling Customers (Example) n Present n Lost n Never-gained n Nonuser 32
Users/Uses of Electronic Resources (More Examples) n Home page users in general n Users of a database 33
Questions of When n How might time effect our study? n How do we choose a time frame? n What is an appropriate time frame based on the research problem? n Address time through: n Cross-sectional studies n Longitudinal studies 34
Cross-Sectional Studies n A study based on observations representing a single point in time. n A “snapshot” n Best for exploratory and descriptive studies n U. S. Census n Explanatory cross-sectional studies aim at drawing causal relationships over time based on observations made at one time. n Issues? 35
Longitudinal Study n Permits observations of the same phenomena over an extended period. n Researcher may “follow” a group over time n Researcher may become part of a group n Researcher may study artifacts developed over time 36
Types of Longitudinal Studies n Trend Studies n Type of longitudinal study that examines changes within a population over time n Cohort Studies n Examines a specific subpopulation (cohort) as they change over time- often based on age. n Panel Studies n Examines the same set of people over time 37
The Learning Organization n http: //www. lib. umd. edu/groups/learning/learni ngorg. html 38
Group Activity Selecting a Sample l l l l Archive/ Special Library Public Library Academic Library/ School Library Identify a research question Define your population Describe how you would select a sample Could you design an experiment around this project? 39
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