Research Methods I Pt. 2, Articles Flashcards

1
Q

Surveys

A

Series of questions based on a specific construct at hand.

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2
Q

Response set

A

Tendency to respond to questions from particular perspective rather than providing answers related to questions, affect usefulness of data obtained from self-reports.

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3
Q

Survey Questions

A

Focused on attitudes and beliefs, facts and demographics, and behaviours

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4
Q

Creating a Survey Question

A

Difficulties arise with unfamiliar technical, vague, terms keep it simple.

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5
Q

Double-Barrelled Questions

A

Ask two things at once, ask two questions not one

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6
Q

Loaded Questions

A

Written in manner to make participants answer in a certain fashion.

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7
Q

Negative Wording

A

Negative words are used to elicit agreement and result in inaccurate answers.

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8
Q

Yea and Naysaing

A

Response set where person agrees or disagrees with whatever you say.

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9
Q

Context-effect

A

Have options in two response set in different location. A and D switch position.

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10
Q

Confidentiality vs. Anonymity

A

Anonymity is used for sensitive answers, accurate responses, confidential means you know their name but will not disclose answers publicly.

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11
Q

Close-ended Question

A

Limited responses, alternative answers exist, give well-defined dimensions, rating scales are common.

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12
Q

Variation on Rating Scales

A

graphic rating scale has a mark along continuous 100mm line, semantic differential scale measures concepts on dimensions, evaluations, activity, and potency.

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13
Q

Nonverbal scale for children

A

Give ratings despite inability to understand harder concepts, alternative responses and their meanings are decided upon by participant.

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14
Q

Finalize Questionnaire

A

Make it appear attractive and professional with neatly typed sentences free of spelling errors.

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15
Q

Refining Questions

A

Pilot test the survey and have participants think aloud while answering questions, get them to tell you their interpretation of the question.

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16
Q

Administrating Surveys

A

two ways to administer: questionnaires, and interview format

17
Q

Questionnaires

A

Written format, less costly, complete anonymity, require comprehension and reading ability, problem of motivation as well.

18
Q

Personal Administration

A

Often give questionnaires to groups of individuals, class, meeting, orientation, appointment, captive audience likely to complete questionnaire, present to answer questions if necessary.

19
Q

Mail Surveys

A

Inexpensive way by sending to homes/business, drawback due to potential for low response rates, can be forgotten, distraction may occur, bored and throw in trash, no one present to answer questions.

20
Q

Internet Surveys

A

Sampling problem, listed in search engines and discover people interested in providing info on topic. Sample can be chosen from database and invite is sent. One problem is whether results are same as traditional method one might use. Not extensive, indicate data is comparable though, ambiguity about characteristics of individual, people may mispresent their individual. While unlikely is still possibility.

21
Q

Other Tech

A

Pagers, cell phones, other wireless communication devices allow people to be contacted at various times and provide immediate feedback.

22
Q

Interviews

A

The interaction has many implications of its own, likely to answer questions for real person compared to mailed questionnaire, skilled in convincing participation, higher response rates, rapport is established to answer all questions and complete survey. Can verify question is but interviewer bias arises with show approval or disapproval. Screening prevents this and limits the biases.

23
Q

Face-to-face interviews

A

Require meeting to conduct interview, expensive, time-consuming and typically used when sample size is small and clear benefits to interaction.

24
Q

telephone interviews

A

large-scale surveys are done by telephone, inexpensive compared to face-to-face, data collected quickly thanks to working on same survey at once, lower cost of telephone survey with labor and data analyst costs. CATI system has questions prompted on screen then entered into computer.

25
Q

Focus Group Interviews

A

Group of 6-10 individuals for 2-3 hours, any topic explored in group, selected members have knowledge or interest in topic, spend time and incur costs traveling to focus group location with monetary or gift incentive to participate. Open-ended questions are given typically, skilled interviewer to work with groups, facilitate communication and deal with problems arising, recorded and transcribe meeting, analysed records for themes and consensus and disagreement. Two to three groups to ensure topic is not specific to one group, yet time-consuming and costly, with lots of information so don’t do very many groups on any one topic.

26
Q

Panel Study

A

Method to study changes over time, two-wave panel study has people surveyed at two or more points, three-wave has three points, good for establishing connection of variables at one point in time and another.

27
Q

Confidence Intervals

A

An interval between two points where the you are confident the true population values lies, best estimate is sample value but only a sample and not the entire population so may be wrong. Formally known as sampling error.

28
Q

Sample Size

A

Larger sample sizes reduce size of confidence intervals, determined by other factors but likely to yield data reflecting true population value.

29
Q

Simple Random Sampling

A

Every member of population has equal likelihood of being selected for sample.

30
Q

Stratified Random Sampling

A

Population divided into subgroups and random sampling techniques select sample members from each stratum, dimensions used to divide into subgroups but relevant to problem of study. Built-in assurance of accurate reflection on numerical composition of subgroups.

31
Q

Cluster Sampling

A

Identify clusters of individuals and sample from clusters, requires sample from larger to smaller clusters, multistage approach, advantage here is not sampling from lists of individuals to obtain random sample of individuals.

32
Q

Haphazard Sampling

A

Convenience sampling has a sample of students selected in a convenient manner, introduce biases into sample, no accurate representation of population of interest, limit ability to use sample data to estimate true population values.

33
Q

Purposive Sampling

A

Purpose being to obtain sample of people meeting predetermined criterion, limits sample to certain group but not probability.

34
Q

Quota Sampling

A

Sample chosen which reflects numerical composition of subgroups in population, similar to stratified sampling, you ensure you have a certain percentage of people, problem is no restrictions on how we choose individuals.

35
Q

Sampling frame

A

Actual population from which random sample is drawn, rarely coincides with population of interest, biases are introduced, need to consider how the frame matches the population of interest, while biases can be minor they can be consequential.

36
Q

Response Rate

A

Percentage of people in sample who completed survey, indicates how much bias is in final sample, those who respond differ from those who do not in many ways, general rule is the lower the response rate, the greater likelihood of biases distorting findings limiting ability to generalize findings. With all the survey methods need follow-up reminders, second mailing of questionnaires, incentive may be necessary, like cash, gift, gift card, raffle ticket. then convince the purposes are of the survey are important and the valuable contribution.

37
Q

Matched-Groups design

A

Matched sets of subjects are randomly distributed, assess sample on characteristics believed to exert influence on dependent measure and group subjects who characteristics match.

38
Q

Logic of Matched-Groups Design

A

Effect of characteristic you are interested in is distributed evenly, and contributes little to difference between group means, effect of error variance minimized, likely that effects of independent variable are detected.

39
Q

Pros and Cons of Matched-group design

A

Control subject variables which would obscure independent variable effect under investigation, can increase sensitivity to effect of independent variable, potent advantage to detecting effects otherwise missed. May demonstrate given effect with fewer subjects, saving money and time. Risk concerns matched characteristics not affecting dependent variable under conditions of study, require modified inferential statistics in unmatched, randomized design, less powerful so no discriminating effects from uncontrolled, extraneous variables.